{"meta":{"query_hash":"d3f510508986","filters":{"topic":"Image Processing and 3D Reconstruction"},"cohort_total":725,"direct_labels_cover":1,"predictions_cover":725,"exported":725,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/d3f510508986","api":"https://metacan.xera.ac/api/v1/cohort?topic=Image+Processing+and+3D+Reconstruction"},"results":[{"id":"W1022963849","doi":"","title":"Geophysical investigation of the Slaven’s Roadhouse Site, Yukon-Charley National Preserve, Alaska","year":2015,"lang":"en","type":"article","venue":"The 80th Annual Meeting of the Society for American Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Archaeology; Oceanography; Geography","score_opus":0.016043498441222458,"score_gpt":0.24790998363277117,"score_spread":0.2318664851915487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1022963849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964857,0.000047218924,0.0000839361,0.000040097188,0.000006324977,0.000007632567,0.00015111193,0.000006495609,0.0031714186],"genre_scores_gemma":[0.99802667,0.000078560355,0.00029945665,0.000015887792,0.0000028791844,0.0000063804982,0.00013869432,0.0000025922434,0.0014288552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992347,0.000007245562,0.000006930538,0.000018403502,0.000028501861,0.000015518155],"domain_scores_gemma":[0.999889,0.000014435981,0.000016309043,0.00001198377,0.000044444376,0.000023706038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659253,0.000113269576,0.00016567789,0.00082774035,0.0023222961,0.00053176074,0.0003839433,0.0004752249,0.00086917524],"category_scores_gemma":[0.00035228961,0.00015191609,0.00012970588,0.0010033293,0.0005624686,0.00028290987,0.0006983169,0.00025364006,0.00015220462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021983823,0.00012121046,0.93837744,0.00011589058,0.00005993604,0.00401136,0.011792825,0.0020645994,0.017000278,0.0007511419,0.0011987123,0.024286766],"study_design_scores_gemma":[0.000008939553,0.00004275361,0.9800663,0.000041765095,0.000020953199,0.0004876624,0.013307688,0.0009135303,0.0007703584,0.00013709131,0.004194896,0.000008022975],"about_ca_topic_score_codex":0.26760966,"about_ca_topic_score_gemma":0.633781,"teacher_disagreement_score":0.26760966,"about_ca_system_score_codex":0.00076297374,"about_ca_system_score_gemma":0.0018877481,"threshold_uncertainty_score":0.532104},"labels":[],"label_agreement":null},{"id":"W105430797","doi":"","title":"U and Th-series isotopes: a probe into time-dependent erosion processes in soils","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Soil water; Erosion; Series (stratigraphy); Environmental science; Isotope; Geology; Hydrology (agriculture); Soil science; Physics; Geomorphology; Paleontology; Geotechnical engineering; Nuclear physics","score_opus":0.010445138658740138,"score_gpt":0.2353326422746575,"score_spread":0.22488750361591736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W105430797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640044,0.003336107,0.023745868,0.00023774839,0.00014793547,0.00002866077,0.00042934512,0.00015798115,0.00791201],"genre_scores_gemma":[0.98802245,0.0011139542,0.008061469,0.00008003614,0.000052435345,0.000019446019,0.00014685073,0.000061460305,0.0024420181],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999087,0.000013398789,0.0000037393131,0.00003458156,0.000020029089,0.00001957372],"domain_scores_gemma":[0.9998172,0.000079729085,0.000025622676,0.000020985422,0.000037938782,0.00001864269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035388296,0.00029058912,0.0002660552,0.000788678,0.00048765764,0.0007143575,0.00054395397,0.00095741346,0.0014650787],"category_scores_gemma":[0.0005133998,0.00032764894,0.00022382702,0.0010671095,0.0008296967,0.0011786777,0.00038748866,0.0006727644,0.00018874976],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017863316,0.00007763734,0.017182989,0.00018931433,0.00007049168,0.00022695179,0.00026878857,0.0015001749,0.9407802,0.002278997,0.00056343246,0.0350747],"study_design_scores_gemma":[0.00021865201,0.00091662107,0.08054548,0.0000686056,0.00022234957,0.0010580528,0.00088097266,0.032316815,0.86319166,0.00674803,0.013742453,0.000090260124],"about_ca_topic_score_codex":0.0020009838,"about_ca_topic_score_gemma":0.0029994124,"teacher_disagreement_score":0.0020009838,"about_ca_system_score_codex":0.00032781612,"about_ca_system_score_gemma":0.0002497237,"threshold_uncertainty_score":0.0049011707},"labels":[],"label_agreement":null},{"id":"W136652911","doi":"","title":"Applications of geographic information science in the archaeological research of the Fincastle Kill Site (D1Ox 5) Alberta, Canada, and Tel Beth-Shemesh, Israel","year":2006,"lang":"en","type":"dissertation","venue":"Open ULeth Scholarship (OPUS) (University of Lethbridge)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Viewshed analysis; Geographic information system; Geography; Archaeology; Field (mathematics); Cartography; Excavation","score_opus":0.019167781673223323,"score_gpt":0.2737272206691907,"score_spread":0.2545594389959674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W136652911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7471385,0.009178222,0.011225201,0.008827015,0.00016052093,0.00072291587,0.0024485216,0.00015339979,0.22014575],"genre_scores_gemma":[0.93917364,0.006543788,0.032495968,0.00019027307,0.000025016183,0.00010464884,0.00067945063,0.000020666386,0.020766523],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994941,0.00010219119,0.000020564206,0.000044978853,0.00026171174,0.00007630204],"domain_scores_gemma":[0.99919945,0.0003753154,0.00003926857,0.00003071966,0.00027974957,0.00007542366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008734617,0.0002409774,0.00012232871,0.0020494275,0.0017254765,0.003711034,0.00058948295,0.00036980957,0.0026357924],"category_scores_gemma":[0.001777414,0.0002811012,0.0001323064,0.005410499,0.0013863213,0.0004605901,0.0007969927,0.00041505435,0.0002090116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000161277,0.00024112272,0.23025928,0.0010213348,0.00008675585,0.0035084037,0.044352714,0.015231646,0.003569832,0.04907994,0.028710745,0.623777],"study_design_scores_gemma":[0.000065576634,0.00018525984,0.53417516,0.0012463654,0.00012076318,0.00093268853,0.17559624,0.015569249,0.0040860693,0.011116689,0.25677288,0.00013316065],"about_ca_topic_score_codex":0.8185075,"about_ca_topic_score_gemma":0.94760585,"teacher_disagreement_score":0.18149251,"about_ca_system_score_codex":0.013196281,"about_ca_system_score_gemma":0.016205562,"threshold_uncertainty_score":0.36512268},"labels":[],"label_agreement":null},{"id":"W1480970423","doi":"","title":"From Laser Scanning to Virtual Reality: The Art and Science of Constructing a Thule Whalebone House","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Arctic; Archaeology; The arctic; Snow; Virtual reality; Geography; Physical geography; Geology; Computer science; Meteorology; Oceanography; Artificial intelligence","score_opus":0.02143097994750207,"score_gpt":0.2666736860321986,"score_spread":0.24524270608469653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480970423","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14344485,0.02245237,0.3585316,0.01671855,0.0023042485,0.00024397495,0.00017768294,0.0007398689,0.45538688],"genre_scores_gemma":[0.7412589,0.01051852,0.17635201,0.0019348752,0.00046895395,0.00019849946,0.00008617856,0.0003133664,0.06886859],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901617,0.0005550118,0.000027579623,0.00012344439,0.00022584459,0.000051904146],"domain_scores_gemma":[0.99924505,0.0004230859,0.000037041904,0.00016397033,0.000084776664,0.000046109155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430028,0.00046754393,0.00017136242,0.0015099569,0.0020265086,0.0041216975,0.0009949352,0.0013375883,0.005117246],"category_scores_gemma":[0.0022422834,0.00034962938,0.0004063344,0.0008077845,0.012232682,0.0036875901,0.0033828958,0.0014464002,0.00080060295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006748906,0.00004450595,0.0022267676,0.0005906101,0.0000385648,0.0020273433,0.100832894,0.004092453,0.007486998,0.565067,0.0152867185,0.30223855],"study_design_scores_gemma":[0.000019037407,0.00025053724,0.004240864,0.0011418076,0.000046949423,0.0054369317,0.061509676,0.0071723266,0.0061870785,0.13560253,0.77821255,0.00017971604],"about_ca_topic_score_codex":0.003795595,"about_ca_topic_score_gemma":0.007274025,"teacher_disagreement_score":0.005117246,"about_ca_system_score_codex":0.0009863935,"about_ca_system_score_gemma":0.0007167079,"threshold_uncertainty_score":0.017118871},"labels":[],"label_agreement":null},{"id":"W1491222903","doi":"","title":"SERM Forest Cover Data of Saskatchewan in Vector Format","year":2000,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Prince Albert Grand Council","funders":"","keywords":"Cover (algebra); Data set; Forest cover; Scale (ratio); Vegetation (pathology); Geography; Set (abstract data type); Remote sensing; Land cover; Cartography; Ecology; Computer science; Mathematics; Statistics; Engineering; Biology; Land use","score_opus":0.017543754256768376,"score_gpt":0.24270502253044554,"score_spread":0.22516126827367716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491222903","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13334312,0.00024059004,0.003086964,0.0001914244,0.000042290332,0.00028751834,0.82627326,0.0006158735,0.035918973],"genre_scores_gemma":[0.27624303,0.0005230937,0.00984087,0.00021269328,0.000014151324,0.0005643322,0.68149966,0.00018722293,0.03091493],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997255,0.000021406546,0.000019515339,0.000050305694,0.000117468626,0.00006570787],"domain_scores_gemma":[0.9985959,0.000058229576,0.000077918296,0.00019723663,0.000994924,0.00007566135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027407863,0.00045424447,0.00031672063,0.0031971494,0.00046661403,0.000813826,0.00064334087,0.00020906939,0.011465873],"category_scores_gemma":[0.00089054997,0.00023072594,0.00023551656,0.0065482706,0.00020675044,0.00037183924,0.0005591194,0.0004312961,0.0033840856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010457058,0.00029950016,0.29702476,0.00080763455,0.0006076144,0.0009923513,0.0008109016,0.02399897,0.017013745,0.007323149,0.3980923,0.25198343],"study_design_scores_gemma":[0.00011312641,0.00004336791,0.65970963,0.00018212141,0.00009658237,0.00018205421,0.0009987432,0.010641243,0.008323774,0.0015367859,0.31804696,0.00012559314],"about_ca_topic_score_codex":0.82873833,"about_ca_topic_score_gemma":0.9326186,"teacher_disagreement_score":0.17126167,"about_ca_system_score_codex":0.0045160735,"about_ca_system_score_gemma":0.0079855425,"threshold_uncertainty_score":0.34454048},"labels":[],"label_agreement":null},{"id":"W1494388992","doi":"","title":"Acoustic Effect of Holes on a Brass Disk","year":2010,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Brass; Acoustics; Materials science; Metallurgy; Physics; Copper","score_opus":0.004690100279917997,"score_gpt":0.20433283655359805,"score_spread":0.19964273627368004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494388992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854962,0.0007979142,0.0034160395,0.00023212016,0.0003070512,0.000017348286,0.00004617808,0.00029331798,0.009393693],"genre_scores_gemma":[0.994722,0.00017316635,0.0010362645,0.000037941485,0.000028110073,0.000004427692,0.000015247166,0.000029887651,0.0039528264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997342,0.00004335899,0.0000095570795,0.000051758987,0.00008692768,0.00007424604],"domain_scores_gemma":[0.9992501,0.00030597142,0.000121127836,0.00011668429,0.00009850986,0.00010756394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022335694,0.00041031328,0.00042064858,0.0002732401,0.0004983943,0.0006398244,0.00043141923,0.0008042974,0.004746375],"category_scores_gemma":[0.0014422951,0.00033118326,0.00019742525,0.00020068091,0.0008242807,0.00055739906,0.00094821694,0.00035152506,0.0009204521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042271973,0.0001273301,0.001973127,0.00023258622,0.000049319733,0.002851832,0.0007406039,0.013215479,0.9470804,0.006029477,0.0023215453,0.02115112],"study_design_scores_gemma":[0.0007583144,0.0049051917,0.01397981,0.00012026342,0.00018584782,0.0024778303,0.0018223485,0.07433474,0.86912465,0.005578009,0.026504045,0.00020889714],"about_ca_topic_score_codex":0.0008327866,"about_ca_topic_score_gemma":0.0005948319,"teacher_disagreement_score":0.004746375,"about_ca_system_score_codex":0.00020632468,"about_ca_system_score_gemma":0.00013802356,"threshold_uncertainty_score":0.0158782},"labels":[],"label_agreement":null},{"id":"W1505999926","doi":"10.1023/a:1011135513777","title":"Active Object Recognition: Looking for Differences","year":2001,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Computer science","score_opus":0.01985287568866598,"score_gpt":0.2961526380404144,"score_spread":0.2762997623517484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505999926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038399693,0.0012107632,0.955726,0.00037861383,0.00021217317,0.0000674518,0.00011669843,0.0009627693,0.002925775],"genre_scores_gemma":[0.44946718,0.001495707,0.5414381,0.0004628383,0.00028468814,0.00014568417,0.00047972822,0.0006522066,0.005573857],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989268,0.00012893348,0.000043673095,0.00036398327,0.0004148325,0.00012170212],"domain_scores_gemma":[0.99840516,0.0005648557,0.00015040483,0.00034139797,0.0003916158,0.00014656008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017015088,0.0010500242,0.0015841457,0.0024496873,0.00067627226,0.0025714003,0.0019951635,0.0021104459,0.00386443],"category_scores_gemma":[0.0042865733,0.0008607933,0.0010229002,0.00210607,0.0017339381,0.004416252,0.0017740163,0.0021172292,0.0016879444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008149786,0.00021336948,0.0033182162,0.0003229492,0.00012551565,0.00013069586,0.0003144311,0.007983578,0.12642358,0.020318573,0.0034161475,0.836618],"study_design_scores_gemma":[0.0002038714,0.0007192855,0.009901189,0.00014193237,0.00036699936,0.00210436,0.00080100534,0.5858443,0.20967667,0.17034744,0.019709105,0.00018390744],"about_ca_topic_score_codex":0.0010186275,"about_ca_topic_score_gemma":0.00095791655,"teacher_disagreement_score":0.00386443,"about_ca_system_score_codex":0.000573357,"about_ca_system_score_gemma":0.0005469746,"threshold_uncertainty_score":0.01292783},"labels":[],"label_agreement":null},{"id":"W1523034925","doi":"10.1109/icsmc.2002.1175676","title":"Data fusion for pattern classification via the Dempster-Shafer evidence theory","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dempster–Shafer theory; Artificial intelligence; Fuse (electrical); Sensor fusion; Fuzzy logic; Pattern recognition (psychology); Computer science; Bayesian probability; Probabilistic logic; Discriminant; Fusion; Linear discriminant analysis; Fuzzy set; Information fusion; Data mining; Machine learning; Engineering","score_opus":0.11278734342580271,"score_gpt":0.31863595695182423,"score_spread":0.20584861352602152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523034925","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028306085,0.0011558027,0.99495995,0.00019465137,0.000041088144,0.00003750442,0.000034441568,0.00007153125,0.00067448715],"genre_scores_gemma":[0.22567041,0.0034376092,0.76922214,0.00016694739,0.00023515239,0.00024345177,0.00017395214,0.00002857888,0.00082182884],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99681085,0.00081517966,0.0002903947,0.00029275104,0.0017031373,0.00008764868],"domain_scores_gemma":[0.9959401,0.0026546407,0.00038119484,0.00035655213,0.000591354,0.00007615177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004775161,0.001158227,0.0020813707,0.0052255215,0.0009337331,0.0026511664,0.001551827,0.0021385767,0.0016047086],"category_scores_gemma":[0.014621838,0.0005934273,0.0015851166,0.003783863,0.001432757,0.0043353164,0.0025275322,0.0019489634,0.0005823547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002401101,0.000098698605,0.0013594577,0.0009455825,0.00040485227,0.00045600993,0.0003341253,0.15363602,0.006977147,0.16493142,0.0023263225,0.66829026],"study_design_scores_gemma":[0.00004779075,0.00014955325,0.00089976646,0.00015724069,0.000122065765,0.0005617216,0.000100906786,0.79934686,0.006011197,0.18651834,0.0059838165,0.00010066408],"about_ca_topic_score_codex":0.0010646036,"about_ca_topic_score_gemma":0.0010535467,"teacher_disagreement_score":0.0052255215,"about_ca_system_score_codex":0.0011218725,"about_ca_system_score_gemma":0.0009685026,"threshold_uncertainty_score":0.025253773},"labels":[],"label_agreement":null},{"id":"W1523509975","doi":"10.1111/cgf.12579","title":"Replaceable Substructures for Efficient Part‐Based Modeling","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Consistency (knowledge bases); Boundary (topology); Theoretical computer science; Matching (statistics); Key (lock); Topology (electrical circuits); Algorithm; Mathematics; Artificial intelligence; Combinatorics","score_opus":0.036184518900258075,"score_gpt":0.2518000088789641,"score_spread":0.215615489978706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523509975","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0282582,0.00012530593,0.968695,0.00007054229,0.00001388496,0.000046241505,0.0001100058,0.0012273381,0.0014534033],"genre_scores_gemma":[0.30947325,0.00011004313,0.6875917,0.000039956554,0.000011406518,0.00007742109,0.0004844937,0.00035526915,0.001856514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947244,0.00010814779,0.000025656824,0.00012547242,0.00023716093,0.000031108768],"domain_scores_gemma":[0.9989832,0.00037829837,0.000086953536,0.00043084697,0.00009081923,0.000029851482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054099585,0.00086702465,0.0010029165,0.0012148126,0.00045805084,0.0009987683,0.0015756612,0.0012982473,0.0030931246],"category_scores_gemma":[0.0020816182,0.00074307696,0.0013832643,0.0011176292,0.0011815908,0.0010790686,0.0013485196,0.001188618,0.0007889794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014143785,0.000053049003,0.0009773667,0.00012878848,0.0000508816,0.00034697464,0.0002102299,0.78024393,0.035137694,0.038849197,0.0015019275,0.14235851],"study_design_scores_gemma":[0.000005652096,0.00002040858,0.000083339575,0.0000052156274,0.000008090211,0.00007053673,0.000013785083,0.9809255,0.0042783264,0.0125124585,0.002070388,0.000006265573],"about_ca_topic_score_codex":0.0021892253,"about_ca_topic_score_gemma":0.0033610305,"teacher_disagreement_score":0.0030931246,"about_ca_system_score_codex":0.00072789605,"about_ca_system_score_gemma":0.00048923487,"threshold_uncertainty_score":0.010347545},"labels":[],"label_agreement":null},{"id":"W1523747722","doi":"","title":"Charting a New Aesthetics for History: 3D, Scenarios, and the Future of the Historian’s Craft","year":2007,"lang":"en","type":"article","venue":"Histoire sociale","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Craft; Humanities; Political science; Art; Library science; Visual arts; Computer science","score_opus":0.008835930235379734,"score_gpt":0.2043510364759236,"score_spread":0.19551510624054386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523747722","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03070406,0.03218291,0.11790804,0.056187205,0.0031845223,0.00010605728,0.00038313118,0.00064318866,0.75870085],"genre_scores_gemma":[0.79491544,0.016333224,0.045479212,0.0028264653,0.0010627424,0.00018340234,0.000258442,0.000640751,0.1383003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99795425,0.001315225,0.000048970476,0.00019242747,0.00031899582,0.0001700633],"domain_scores_gemma":[0.9982572,0.00079034327,0.00010075402,0.00043395694,0.00016433239,0.00025331104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028331075,0.0009429357,0.00038910538,0.0030163676,0.0079243975,0.01720048,0.0012298778,0.003741846,0.021154936],"category_scores_gemma":[0.0037469673,0.00050981384,0.0007588161,0.0019639959,0.041934345,0.018103382,0.006870165,0.0037787133,0.0025478096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016181319,0.000005122635,0.0002636673,0.00007737003,0.0000032580272,0.00014733012,0.023737106,0.0004508183,0.00019004213,0.9506981,0.00920116,0.015209853],"study_design_scores_gemma":[0.000010475982,0.00002195189,0.00028566938,0.00042638349,0.0000068520408,0.00071860326,0.023983298,0.00093049626,0.00031098793,0.44366464,0.52961034,0.000030340156],"about_ca_topic_score_codex":0.005783895,"about_ca_topic_score_gemma":0.00985381,"teacher_disagreement_score":0.021154936,"about_ca_system_score_codex":0.0054483986,"about_ca_system_score_gemma":0.0036232877,"threshold_uncertainty_score":0.07077032},"labels":[],"label_agreement":null},{"id":"W1569409391","doi":"10.22230/cjc.2012v37n1a2506","title":"New Old Things: Fabrication, Physical Computing, and Experiment in Historical Practice","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Fabrication; Computer science; History; Medicine","score_opus":0.014945571693087264,"score_gpt":0.2695619559263999,"score_spread":0.2546163842333127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569409391","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17581208,0.07429586,0.05113562,0.08704295,0.0019215291,0.00016013156,0.00009721867,0.00016617576,0.60936844],"genre_scores_gemma":[0.97160846,0.007931708,0.007355413,0.0015690724,0.00033774774,0.00011109159,0.000015798341,0.0000652241,0.011005528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935881,0.004884703,0.0001699933,0.0004856698,0.00058036635,0.00029118685],"domain_scores_gemma":[0.9896913,0.0078037046,0.00037419845,0.0014064785,0.0002994537,0.0004247649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010186635,0.0004865582,0.00052632054,0.0025214397,0.010559194,0.011445143,0.0012538168,0.0034512514,0.0062488285],"category_scores_gemma":[0.011553433,0.00045087116,0.0002742606,0.002696715,0.13925642,0.019057544,0.00681235,0.0039919484,0.00042918415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029994186,0.00002269177,0.00042148304,0.00010013816,0.0000026331136,0.0001296831,0.056703333,0.000120169345,0.00016906287,0.9299883,0.0011294476,0.011182934],"study_design_scores_gemma":[0.000025143127,0.00009788427,0.0012238412,0.0007166641,0.000008728499,0.00053738407,0.079063185,0.0004185285,0.0005767778,0.7171784,0.20011425,0.00003914533],"about_ca_topic_score_codex":0.003757266,"about_ca_topic_score_gemma":0.0064527877,"teacher_disagreement_score":0.011445143,"about_ca_system_score_codex":0.00634415,"about_ca_system_score_gemma":0.0037882763,"threshold_uncertainty_score":0.053872705},"labels":[],"label_agreement":null},{"id":"W1604172527","doi":"10.1007/3-540-45129-3_3","title":"On Learning the Shape of Complex Actions","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Curvature; Invariant (physics); Artificial intelligence; Dynamical systems theory; Bayesian network; Bayesian probability; Machine learning; Theoretical computer science; Algorithm; Mathematics; Geometry","score_opus":0.030882264565303363,"score_gpt":0.2646452744809921,"score_spread":0.23376300991568877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604172527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032400355,0.0007942994,0.9620099,0.00037827305,0.000058919642,0.000037385016,0.00014288058,0.00076254556,0.0034154137],"genre_scores_gemma":[0.5009093,0.0022137382,0.4806755,0.00048458454,0.00016108197,0.00014757375,0.0012028668,0.0005302094,0.0136751095],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995976,0.000096034775,0.000024544406,0.0001355734,0.00010761263,0.000038671078],"domain_scores_gemma":[0.9970053,0.0020258895,0.00016463753,0.00043306893,0.00024237773,0.00012884855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010143124,0.0011759105,0.001650923,0.0007305315,0.0004238791,0.0013436492,0.0019707708,0.0016974839,0.0047829105],"category_scores_gemma":[0.006501093,0.0008864466,0.0008617407,0.0013285492,0.0018754372,0.0033635756,0.0020998348,0.001956555,0.00078382855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024959169,0.00007066161,0.0023332592,0.0001525582,0.00005711611,0.00006427202,0.00024259316,0.3458668,0.0047848173,0.049570076,0.005009954,0.5915983],"study_design_scores_gemma":[0.000017104981,0.00005519413,0.0005133213,0.00002430612,0.0000090564035,0.000044987944,0.000044121585,0.9189155,0.0013036416,0.07775782,0.0013035676,0.000011390583],"about_ca_topic_score_codex":0.007941942,"about_ca_topic_score_gemma":0.008759525,"teacher_disagreement_score":0.007941942,"about_ca_system_score_codex":0.00080550276,"about_ca_system_score_gemma":0.0006031564,"threshold_uncertainty_score":0.01600045},"labels":[],"label_agreement":null},{"id":"W1894362352","doi":"10.26522/br.v11i1.109","title":"Automata: Hybrid Collage Bodies","year":2010,"lang":"en","type":"article","venue":"The Brock Review","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conflation; Automaton; Series (stratigraphy); Computer science; Art; Artificial intelligence; Philosophy; Epistemology; Geology; Paleontology","score_opus":0.009479968276219964,"score_gpt":0.24855585590549414,"score_spread":0.23907588762927418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894362352","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011429714,0.0039579375,0.944833,0.0006160855,0.00048605385,0.000085118314,0.0002795288,0.0027009882,0.035611562],"genre_scores_gemma":[0.43944636,0.010107825,0.49955627,0.0007476436,0.00044437675,0.0005990357,0.001239642,0.0009481882,0.046910707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930346,0.0001560426,0.00004865424,0.00017870932,0.00026069337,0.00005256911],"domain_scores_gemma":[0.99918693,0.00035990623,0.00006305771,0.00018440059,0.00016719288,0.0000385445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005338345,0.0007219631,0.00059813866,0.0007887546,0.00068953796,0.0020095615,0.0013630886,0.0015401248,0.008876162],"category_scores_gemma":[0.0020448598,0.00051265524,0.0008063114,0.0009704955,0.0021609755,0.0026868696,0.0020406663,0.001269668,0.0028356211],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001636995,0.000039852148,0.0011191067,0.00077692396,0.0000876084,0.0006426535,0.00065170834,0.15734987,0.016359435,0.6040495,0.020383313,0.19837634],"study_design_scores_gemma":[0.00005634797,0.00016773105,0.0005315912,0.0002829811,0.00008746617,0.0013852403,0.00026935618,0.4194605,0.020599462,0.22616416,0.330891,0.000104115],"about_ca_topic_score_codex":0.0012846685,"about_ca_topic_score_gemma":0.0008217076,"teacher_disagreement_score":0.008876162,"about_ca_system_score_codex":0.0005204126,"about_ca_system_score_gemma":0.0004465803,"threshold_uncertainty_score":0.029693782},"labels":[],"label_agreement":null},{"id":"W190791480","doi":"10.1007/978-1-4615-0769-7_4","title":"Units, Sampling Frames, and Edge Effects in Archaeological Survey","year":2002,"lang":"en","type":"book-chapter","venue":"Manuals in archaeological method, theory and technique","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sampling (signal processing); Archaeology; Enhanced Data Rates for GSM Evolution; Geography; Environmental science; Computer science; Artificial intelligence; Computer vision","score_opus":0.049348303999547795,"score_gpt":0.30947923638392855,"score_spread":0.26013093238438073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W190791480","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070425593,0.036649525,0.9079115,0.0009813646,0.0015396423,0.00025886513,0.000634721,0.0009055554,0.04407635],"genre_scores_gemma":[0.066978715,0.023132114,0.84245396,0.00070800766,0.00070494413,0.00076047,0.0005983554,0.0007878468,0.06387551],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99869895,0.00057741214,0.00015076752,0.00016515738,0.00037529093,0.00003253175],"domain_scores_gemma":[0.9977623,0.0017745377,0.000060566348,0.0002238769,0.00016066992,0.000018060875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020588778,0.0009887184,0.0007687884,0.0030176726,0.0010923264,0.0015632905,0.0014766994,0.00096426136,0.008051995],"category_scores_gemma":[0.005129892,0.0015736776,0.00044343632,0.0071228007,0.0051177484,0.0030039714,0.0006983292,0.002014835,0.0016888453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007675558,0.00006191505,0.0012586198,0.00076859415,0.000021190159,0.00015805829,0.0022303995,0.004639497,0.0014674747,0.3277511,0.031396504,0.63017005],"study_design_scores_gemma":[0.00003101158,0.00013256408,0.010064397,0.00080036226,0.00010494364,0.0013285547,0.001309926,0.016979413,0.006677466,0.47724158,0.4852261,0.00010373377],"about_ca_topic_score_codex":0.004985197,"about_ca_topic_score_gemma":0.021462953,"teacher_disagreement_score":0.008051995,"about_ca_system_score_codex":0.00088308874,"about_ca_system_score_gemma":0.000795119,"threshold_uncertainty_score":0.02693659},"labels":[],"label_agreement":null},{"id":"W1909796763","doi":"10.6000/1929-4409.2015.04.11","title":"The Intricacies Involved in the Analysis and Interpretation of Hammer Transfer Stain/s in a Crime Scene","year":2015,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Hammer; Stain; Forensic engineering; Criminology; Psychology; Medicine; Engineering; Pathology; Philosophy; Staining; Structural engineering; Linguistics","score_opus":0.0418719531645448,"score_gpt":0.30735489628593854,"score_spread":0.26548294312139376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1909796763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2681224,0.003104762,0.68766284,0.0033110857,0.0003470349,0.00052652747,0.0007514269,0.00097286626,0.03520107],"genre_scores_gemma":[0.5737764,0.0034559492,0.41641217,0.0004996013,0.0001694538,0.00018181004,0.00030370528,0.0003596488,0.004841298],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9975464,0.0010207111,0.00017388043,0.00045258223,0.0006625518,0.00014382471],"domain_scores_gemma":[0.9924905,0.004866889,0.0007258504,0.0011404721,0.000636618,0.00013967314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034643898,0.0005674936,0.0007259,0.0040923646,0.0013933304,0.006554297,0.001193883,0.0014194065,0.0033982156],"category_scores_gemma":[0.012219419,0.0007807252,0.00064618915,0.0018871372,0.0047650016,0.0032550953,0.0022364394,0.0020172563,0.00096466753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004376798,0.0001795316,0.06964977,0.0024240431,0.00039448828,0.0060231355,0.03209051,0.017966136,0.12967393,0.07634332,0.0065908665,0.65822655],"study_design_scores_gemma":[0.000041409592,0.0005918163,0.37195835,0.0023070935,0.00043543932,0.021864232,0.049817495,0.10271653,0.08587582,0.26111966,0.10247483,0.0007973266],"about_ca_topic_score_codex":0.0023576948,"about_ca_topic_score_gemma":0.0037349055,"teacher_disagreement_score":0.006554297,"about_ca_system_score_codex":0.00052374945,"about_ca_system_score_gemma":0.0007293236,"threshold_uncertainty_score":0.018321633},"labels":[],"label_agreement":null},{"id":"W1965012427","doi":"10.1117/12.578088","title":"ARCHAEO-SCAN: Portable 3D shape measurement system for archaeological field work","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artifact (error); Computer graphics (images); Computer vision; Software; 3D modeling; Field (mathematics); Artificial intelligence; Coordinate system; Data acquisition; Documentation; Virtual reality","score_opus":0.016128163739053743,"score_gpt":0.2190230336827617,"score_spread":0.20289486994370795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965012427","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07489553,0.0006865102,0.7700299,0.00041549795,0.00037440745,0.0013639819,0.02041537,0.09797727,0.033841576],"genre_scores_gemma":[0.19004014,0.0005775515,0.75443894,0.00037842523,0.00015814115,0.0019429659,0.019274192,0.0038647328,0.02932494],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923754,0.00007126199,0.00003089774,0.00013688389,0.00048577157,0.000037684415],"domain_scores_gemma":[0.99924916,0.000096454634,0.000059824688,0.00029636038,0.00021713266,0.00008109075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388924,0.0007942905,0.00070399797,0.001958297,0.0005665881,0.0007559597,0.0015273294,0.0008750595,0.02188338],"category_scores_gemma":[0.0011126164,0.00066892384,0.0004260929,0.001814715,0.00048262792,0.000853303,0.001457358,0.0006822876,0.009429544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010883429,0.0002011708,0.009278264,0.0005858783,0.00007982913,0.00047131025,0.00081102917,0.0029713388,0.2245185,0.0044018594,0.13441408,0.6211784],"study_design_scores_gemma":[0.0006248888,0.0012502022,0.064306304,0.00022240018,0.00024010564,0.00702423,0.0006557941,0.11489355,0.18638502,0.0052943192,0.61864334,0.00045988616],"about_ca_topic_score_codex":0.0014789468,"about_ca_topic_score_gemma":0.0032353264,"teacher_disagreement_score":0.02188338,"about_ca_system_score_codex":0.000368774,"about_ca_system_score_gemma":0.0010030866,"threshold_uncertainty_score":0.07320714},"labels":[],"label_agreement":null},{"id":"W1988684008","doi":"10.1109/spcom.2010.5560471","title":"Codes for storage of data on a 1-d granular magnetic medium","year":2010,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Magnetic storage; Operating system","score_opus":0.022092774538685314,"score_gpt":0.2722025180078701,"score_spread":0.2501097434691848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988684008","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14851351,0.0018030704,0.8162734,0.001691747,0.0005926152,0.000117742034,0.0005236239,0.0009721067,0.029512262],"genre_scores_gemma":[0.8481894,0.0010583439,0.14028032,0.0003810198,0.00015012428,0.00018197116,0.00032181185,0.00020240036,0.009234492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996741,0.000048094596,0.000022669366,0.00003142339,0.00017302361,0.000050761842],"domain_scores_gemma":[0.9979024,0.0010250498,0.00023232056,0.00039284825,0.00035273223,0.00009461987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003326049,0.00030209194,0.0004405458,0.0007107452,0.0006326809,0.0009839291,0.00069255655,0.0012190221,0.00282947],"category_scores_gemma":[0.0040932507,0.00017766465,0.00032436935,0.00085849315,0.0012654978,0.0013457149,0.0010088307,0.00082288176,0.000586031],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088707166,0.000031313295,0.00042075626,0.00017834012,0.000011352827,0.00020015037,0.0001253422,0.12223646,0.007314344,0.84352624,0.003592166,0.022274898],"study_design_scores_gemma":[0.00002449032,0.000034875182,0.00022101679,0.000051280895,0.0000069237994,0.00020798,0.00003719152,0.7254106,0.0061699683,0.26347637,0.004324906,0.000034521276],"about_ca_topic_score_codex":0.001665656,"about_ca_topic_score_gemma":0.0018748179,"teacher_disagreement_score":0.00282947,"about_ca_system_score_codex":0.000934601,"about_ca_system_score_gemma":0.00079687947,"threshold_uncertainty_score":0.009465516},"labels":[],"label_agreement":null},{"id":"W2000102304","doi":"10.1139/e04-042","title":"Applications of earth science techniques to archaeological problems Introduction","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Okanagan University College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Basalt; Geology; Earth science; Mineralogy; Electron microprobe; Geochemistry; Thematic map; Archaeology; Geography","score_opus":0.013973503070922877,"score_gpt":0.2431264385207114,"score_spread":0.22915293544978851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000102304","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008690029,0.16211906,0.66392,0.01793159,0.004187159,0.00023826431,0.0009311707,0.0010113934,0.14097139],"genre_scores_gemma":[0.12287782,0.127625,0.7042508,0.0026645665,0.008155108,0.0004928282,0.0010546678,0.00027244567,0.032606702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871194,0.0005370269,0.00010848256,0.00020737508,0.0003660892,0.00006908499],"domain_scores_gemma":[0.9966983,0.0024701522,0.00013348975,0.00030864976,0.00030623353,0.00008307022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016912775,0.0008982231,0.0007419081,0.005318226,0.0011183311,0.0040339124,0.001241992,0.0017665892,0.01503724],"category_scores_gemma":[0.00585534,0.00052280206,0.0011804332,0.0052844263,0.0038575893,0.0033243403,0.0023680248,0.0026852936,0.0038469762],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021749594,0.000051437735,0.0020644013,0.001821461,0.000099462195,0.00057800324,0.0012944222,0.00792056,0.0016677758,0.51992184,0.03548953,0.4290694],"study_design_scores_gemma":[0.0000075569938,0.000016747292,0.0008700586,0.00046674898,0.0000141136925,0.0006210691,0.00040786332,0.006633607,0.00049253524,0.6629624,0.32748246,0.000024818302],"about_ca_topic_score_codex":0.00217573,"about_ca_topic_score_gemma":0.0015222628,"teacher_disagreement_score":0.01503724,"about_ca_system_score_codex":0.0011035069,"about_ca_system_score_gemma":0.0008895539,"threshold_uncertainty_score":0.05030459},"labels":[],"label_agreement":null},{"id":"W2002327815","doi":"10.1016/j.catena.2005.07.001","title":"Quantification of plasmic fabric through image analysis","year":2005,"lang":"en","type":"article","venue":"CATENA","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Multispectral image; Image (mathematics); Computer vision; Computer science; Digital image analysis; Artificial intelligence; Geology; Digital image; Remote sensing; Image processing; Pattern recognition (psychology)","score_opus":0.01540115106117484,"score_gpt":0.256265700999823,"score_spread":0.24086454993864814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002327815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54216295,0.0013518508,0.4433266,0.00019257661,0.000061998595,0.00014389669,0.0006032727,0.0023627,0.009794203],"genre_scores_gemma":[0.67579615,0.0013067414,0.31494477,0.00007401301,0.000028919469,0.00012936247,0.0004732446,0.00050491677,0.006741925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985266,0.000017514709,0.00000932288,0.000031962445,0.00006150456,0.000026988591],"domain_scores_gemma":[0.9996495,0.000084644525,0.000062798725,0.00006485745,0.00011147226,0.000026734391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046563186,0.00040991002,0.00027587684,0.0025419018,0.00036245183,0.0011494965,0.0003283156,0.00043923684,0.002738244],"category_scores_gemma":[0.00054488046,0.00032686742,0.00019640387,0.00088196236,0.0004487637,0.00063422066,0.00039665063,0.00060078426,0.0005880665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012953226,0.000041589446,0.0014824282,0.00020081512,0.00001953121,0.00009370413,0.00012209055,0.0021871603,0.94116306,0.0025129556,0.0003024619,0.051744662],"study_design_scores_gemma":[0.000017604738,0.00007891206,0.019698417,0.000054499425,0.00004864692,0.00067863904,0.00011595582,0.074769504,0.89636475,0.001680549,0.006450118,0.000042341588],"about_ca_topic_score_codex":0.0007334397,"about_ca_topic_score_gemma":0.0010515738,"teacher_disagreement_score":0.002738244,"about_ca_system_score_codex":0.0003246865,"about_ca_system_score_gemma":0.00035388497,"threshold_uncertainty_score":0.00916034},"labels":[],"label_agreement":null},{"id":"W2003301053","doi":"10.1016/j.imavis.2012.11.002","title":"On growth and formlets: Sparse multi-scale coding of planar shape","year":2012,"lang":"en","type":"article","venue":"Image and Vision Computing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Image warping; Mathematics; Planar; Algorithm; Computer science; Topology (electrical circuits); Shape analysis (program analysis); Generalization; Sparse approximation; Artificial intelligence; Pattern recognition (psychology); Computer vision; Combinatorics; Mathematical analysis","score_opus":0.018023584974679856,"score_gpt":0.2894189740441668,"score_spread":0.2713953890694869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003301053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071750605,0.00055721536,0.9892915,0.00038965876,0.00011953508,0.000029721024,0.000138727,0.00029997109,0.0019986294],"genre_scores_gemma":[0.20309089,0.0053438386,0.7755697,0.0006637655,0.00055715203,0.00022335943,0.0015230578,0.00047109812,0.012557262],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994253,0.0001901761,0.000028206214,0.00007722001,0.00022724054,0.000051858988],"domain_scores_gemma":[0.99845815,0.00084501214,0.00009809536,0.00029826735,0.0002165203,0.000084036095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083224283,0.0013978466,0.0010000998,0.0012637333,0.00038725013,0.0011472803,0.00129265,0.0014209138,0.002531575],"category_scores_gemma":[0.0044589336,0.0005652444,0.0006945136,0.0024472217,0.0017979,0.0029212546,0.0020663382,0.0026262128,0.0013988233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030892662,0.00009664025,0.00046311822,0.00023943328,0.00004752245,0.00016441058,0.0002517685,0.22302721,0.027809052,0.27916643,0.017509058,0.45091644],"study_design_scores_gemma":[0.000015135169,0.00003537336,0.00012597632,0.000015290841,0.0000072678504,0.00006891383,0.000028863136,0.92020214,0.0040685404,0.07145737,0.003954221,0.000020790487],"about_ca_topic_score_codex":0.0029969949,"about_ca_topic_score_gemma":0.0026704066,"teacher_disagreement_score":0.0029969949,"about_ca_system_score_codex":0.00054343184,"about_ca_system_score_gemma":0.00053132605,"threshold_uncertainty_score":0.008468986},"labels":[],"label_agreement":null},{"id":"W2010792847","doi":"10.1109/icdar.2013.105","title":"A Probabilistic Model for Reconstruction of Torn Forensic Documents","year":2013,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Probabilistic logic; Computer science; Set (abstract data type); Process (computing); Subject (documents); Data mining; Artificial intelligence; Order (exchange); Information retrieval; World Wide Web","score_opus":0.015104156678165302,"score_gpt":0.2344864607945041,"score_spread":0.2193823041163388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010792847","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063615614,0.00014242984,0.9922273,0.0001996867,0.000018186338,0.00003119967,0.00015074869,0.00026363373,0.00060534873],"genre_scores_gemma":[0.42743683,0.0013105988,0.55929905,0.00026154207,0.0002056303,0.00045489398,0.0013474612,0.00039211247,0.009291867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850297,0.00039767328,0.00009300938,0.00042879203,0.0004562561,0.00012137595],"domain_scores_gemma":[0.99595743,0.0024665075,0.00050198677,0.0005133806,0.00045360607,0.000106992346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002943332,0.00088403467,0.001329158,0.002602467,0.00087762426,0.0027864936,0.0034677216,0.0025841692,0.0036682717],"category_scores_gemma":[0.009426329,0.0013803324,0.0016311349,0.0019596303,0.002201799,0.0040651383,0.0014994442,0.002597452,0.0014180709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009727884,0.00003717927,0.0010463578,0.0001154402,0.0000604494,0.00019360197,0.00015557928,0.90949094,0.0022859264,0.05515094,0.00092686346,0.030439423],"study_design_scores_gemma":[0.0000064981596,0.000014357168,0.00017594756,0.0000120018585,0.0000101847,0.00009253429,0.00001568042,0.97878325,0.0005153901,0.019593354,0.00075825985,0.000022513383],"about_ca_topic_score_codex":0.006255726,"about_ca_topic_score_gemma":0.0054394226,"teacher_disagreement_score":0.006255726,"about_ca_system_score_codex":0.0016181299,"about_ca_system_score_gemma":0.0012501862,"threshold_uncertainty_score":0.015566051},"labels":[],"label_agreement":null},{"id":"W2011396919","doi":"10.3366/ijhac.2011.0021","title":"Do not make snap decisions about what you are seeing: how digital analysis of the images from the Canadian Shield highlights the difficulties in classifying shapes","year":2011,"lang":"en","type":"article","venue":"International Journal of Humanities and Arts Computing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consciousness; Scholarship; Identification (biology); Meaning (existential); Computer science; Nothing; Epistemology; Object (grammar); Cognitive science; Psychology; Data science; Artificial intelligence; Law; Political science; Philosophy","score_opus":0.0519758472359619,"score_gpt":0.24056547919600846,"score_spread":0.18858963196004655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011396919","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29270753,0.015948256,0.09833238,0.11020199,0.0021876995,0.00030659043,0.0012577893,0.00086479494,0.47819296],"genre_scores_gemma":[0.858159,0.008385059,0.057237852,0.005603794,0.00018055024,0.00005492719,0.00034571666,0.00069027307,0.06934287],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971316,0.0009772825,0.000048627917,0.00037449689,0.0010672963,0.0004006768],"domain_scores_gemma":[0.99577624,0.0016386686,0.00020698884,0.0004236096,0.0015949336,0.0003595296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035380458,0.0007111724,0.000371218,0.0032034195,0.013404675,0.012262943,0.0020617945,0.0024588571,0.0045084525],"category_scores_gemma":[0.013628758,0.0005498483,0.00046636746,0.0033718997,0.018949725,0.0061370013,0.0034658764,0.0031558687,0.0012848147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017569435,0.000040713203,0.013019558,0.00040735066,0.00007439793,0.004059921,0.52354926,0.0013484693,0.0050748773,0.13049461,0.07697575,0.24477938],"study_design_scores_gemma":[0.000013037144,0.00002670521,0.017666431,0.0006893094,0.000080000915,0.003719838,0.22418825,0.0036333096,0.0039828653,0.045361757,0.70037395,0.00026452384],"about_ca_topic_score_codex":0.7891359,"about_ca_topic_score_gemma":0.8977407,"teacher_disagreement_score":0.21086413,"about_ca_system_score_codex":0.017247852,"about_ca_system_score_gemma":0.016262555,"threshold_uncertainty_score":0.42421186},"labels":[],"label_agreement":null},{"id":"W2014794941","doi":"10.5539/cis.v7n3p92","title":"Research on Fragments Reassembly Based on Feature of Chinese Character and Template Matching","year":2014,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Robustness (evolution); Artificial intelligence; Character (mathematics); Feature (linguistics); Feature matching; Pattern recognition (psychology); Character recognition; Matching (statistics); Image (mathematics); Computer vision; Mathematics; Linguistics","score_opus":0.014800647971349728,"score_gpt":0.30118165422033893,"score_spread":0.2863810062489892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014794941","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031535625,0.0022944019,0.96045125,0.00021243385,0.00019401238,0.000095803596,0.000077223296,0.00089797715,0.0042414507],"genre_scores_gemma":[0.5007805,0.004466861,0.47883388,0.00019504827,0.00024588665,0.00009700025,0.00061016966,0.0003167125,0.01445396],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985998,0.00013714714,0.000096905256,0.00043217183,0.00063171424,0.00010217096],"domain_scores_gemma":[0.9988115,0.0002325954,0.00014323134,0.00037611614,0.0003785242,0.000058016743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094353064,0.00074849895,0.0009195712,0.0021293336,0.0005635209,0.0013064083,0.0016760892,0.000857343,0.0023709869],"category_scores_gemma":[0.002934646,0.0004700148,0.0012745697,0.002011681,0.000915996,0.0043972833,0.0006818378,0.000888413,0.0008279024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034565007,0.000116111085,0.0036385122,0.00051892875,0.00015425381,0.00040582448,0.00049223437,0.033887967,0.08801807,0.028489092,0.003951502,0.8399819],"study_design_scores_gemma":[0.000062318315,0.00046309648,0.0061091995,0.000055738314,0.0002598177,0.003225027,0.00041716796,0.69170874,0.24764763,0.011393818,0.03847574,0.00018174456],"about_ca_topic_score_codex":0.0047201677,"about_ca_topic_score_gemma":0.0016047164,"teacher_disagreement_score":0.0047201677,"about_ca_system_score_codex":0.0007192262,"about_ca_system_score_gemma":0.0009601786,"threshold_uncertainty_score":0.009385407},"labels":[],"label_agreement":null},{"id":"W2015945789","doi":"10.1145/2508363.2508373","title":"\"Mind the gap\"","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; European Regional Development Fund; National Natural Science Foundation of China; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; United States-Israel Binational Science Foundation","keywords":"Salient; Image (mathematics); Set (abstract data type); Computer science; Task (project management); Artificial intelligence; Computer vision; Inpainting; Painting; Computer graphics (images); Visual arts; Art; Engineering","score_opus":0.02177921022371893,"score_gpt":0.23719953282900985,"score_spread":0.21542032260529093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015945789","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009842767,0.00036390714,0.9781417,0.0010203761,0.00023356428,0.000059347145,0.000082461534,0.002242802,0.0080130575],"genre_scores_gemma":[0.12948069,0.00050400296,0.8543985,0.0007619317,0.00019393927,0.000089124944,0.00031105583,0.0015502399,0.012710463],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897504,0.00019272517,0.00003501074,0.00036071002,0.0003560219,0.00008049173],"domain_scores_gemma":[0.99827707,0.00035309524,0.000108979075,0.0009442968,0.00019647146,0.00012010436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490879,0.0012425375,0.0007709258,0.0011101939,0.0011145227,0.0024894536,0.002420892,0.0020217695,0.01289583],"category_scores_gemma":[0.0049337368,0.0008333065,0.000966072,0.0006265297,0.0031066684,0.0051678387,0.004660126,0.0029221699,0.0050280467],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005916034,0.00008650905,0.0015290172,0.000635174,0.00017302479,0.0006524587,0.0023192924,0.02665123,0.098057665,0.22153944,0.03310171,0.61466277],"study_design_scores_gemma":[0.00009371014,0.0003043488,0.0021002612,0.0003084272,0.00013490593,0.0023625765,0.0015160021,0.21139444,0.10977002,0.3205924,0.35124826,0.00017460049],"about_ca_topic_score_codex":0.0008574234,"about_ca_topic_score_gemma":0.0013531239,"teacher_disagreement_score":0.01289583,"about_ca_system_score_codex":0.00055133423,"about_ca_system_score_gemma":0.00094061624,"threshold_uncertainty_score":0.04314083},"labels":[],"label_agreement":null},{"id":"W2017246866","doi":"10.1007/s00477-014-0864-9","title":"Corrective pattern-matching simulation with controlled local-mean histogram","year":2014,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Histogram; Histogram matching; Computer science; Matching (statistics); Artificial intelligence; Point (geometry); Image (mathematics); Mathematics; Pattern recognition (psychology); Statistics","score_opus":0.0101774372040254,"score_gpt":0.2951362124369524,"score_spread":0.284958775232927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017246866","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3839955,0.000116327996,0.6088352,0.00019592803,0.00009016649,0.00012100363,0.0001910921,0.0014001204,0.0050546704],"genre_scores_gemma":[0.9483415,0.000018424664,0.05053768,0.000036677444,0.000007584216,0.00005491301,0.00008994818,0.00011422424,0.00079894037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996966,0.00007135214,0.000015336222,0.0000698969,0.00010125112,0.000045437995],"domain_scores_gemma":[0.9980988,0.0010971344,0.00010978876,0.0002613135,0.00034230825,0.00009068329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007393499,0.0003186101,0.00055301393,0.00054392935,0.00050874316,0.000528969,0.001447714,0.0012111524,0.003704172],"category_scores_gemma":[0.0038619086,0.00034385142,0.00044064617,0.0007624472,0.0005093662,0.0009679588,0.00076289853,0.00069854915,0.00027047013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017346845,0.00008873405,0.0011222893,0.000031045915,0.000021160693,0.00006676105,0.000059190857,0.9786754,0.0036124773,0.004447856,0.00037182635,0.011329762],"study_design_scores_gemma":[0.00000626131,0.000005706748,0.000057286496,5.462115e-7,0.0000017287066,0.0000038964213,0.0000026213477,0.99899346,0.0005749944,0.0003111776,0.000039594743,0.0000026317807],"about_ca_topic_score_codex":0.009813078,"about_ca_topic_score_gemma":0.005218653,"teacher_disagreement_score":0.009813078,"about_ca_system_score_codex":0.0008212278,"about_ca_system_score_gemma":0.0010406332,"threshold_uncertainty_score":0.019511878},"labels":[],"label_agreement":null},{"id":"W2018890734","doi":"10.3138/carto.44.2.111","title":"A Cartometric Analysis of the Terrain Models of Joachim Eugen Müller (1752–1833) Using Non-contact 3D Digitizing and Visualization Techniques","year":2009,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Bern; Impact Fund","keywords":"Visualization; Terrain; Digital elevation model; Computer graphics (images); Computer science; Art history; Art; Cartography; Geology; Artificial intelligence; Remote sensing; Geography","score_opus":0.012168518674547775,"score_gpt":0.284875200387097,"score_spread":0.27270668171254925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018890734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255711,0.0018446003,0.034284655,0.00022333089,0.000110542045,0.000085725245,0.0018344823,0.00019293479,0.03585257],"genre_scores_gemma":[0.9666245,0.0017752402,0.02263355,0.00001869467,0.00003385022,0.000030301877,0.001547862,0.00008625848,0.0072497344],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959975,0.00004554747,0.000012741855,0.00004555403,0.00027341492,0.000023105284],"domain_scores_gemma":[0.9996358,0.000116042174,0.000078580386,0.00006415007,0.00008524217,0.000020219082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003310933,0.0003037885,0.00014132494,0.00358308,0.00052007317,0.0007929327,0.00022785204,0.00019959206,0.0019424888],"category_scores_gemma":[0.0018772155,0.00017043734,0.0002569567,0.0034793697,0.00056270586,0.0006434004,0.00077255256,0.00024587158,0.0006129269],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033047455,0.000070315335,0.12007782,0.0006008774,0.00014776988,0.0023324536,0.02171188,0.017549932,0.048699126,0.019940399,0.011413698,0.7571254],"study_design_scores_gemma":[0.000012419298,0.00027537302,0.7497837,0.00023284952,0.00011480285,0.0046506263,0.008522966,0.015320317,0.024656992,0.00600687,0.19025236,0.00017076755],"about_ca_topic_score_codex":0.0069956556,"about_ca_topic_score_gemma":0.01490721,"teacher_disagreement_score":0.0069956556,"about_ca_system_score_codex":0.00039714493,"about_ca_system_score_gemma":0.00029142786,"threshold_uncertainty_score":0.013909876},"labels":[],"label_agreement":null},{"id":"W2021252430","doi":"10.1179/sic.2002.47.s3.005","title":"USING MICROFOCUS X-RADIOGRAPHY AND OTHER TECHNIQUES TO CREATE A DIGITAL WATERMARK DATABASE","year":2002,"lang":"en","type":"article","venue":"Studies in Conservation","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Michael G. DeGroote Institute for Infectious Disease Research, McMaster University; Arts and Humanities Research Board; Institute for Frontier Life and Medical Sciences, Kyoto University","keywords":"Watermark; Digitization; Computer science; Digital watermarking; Key (lock); Information retrieval; Computer vision; Image (mathematics); Computer security","score_opus":0.1010397460579128,"score_gpt":0.3231051644428758,"score_spread":0.222065418384963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021252430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06381963,0.004774211,0.9084312,0.0008298562,0.0004129834,0.00049163436,0.00031712287,0.0026659283,0.018257547],"genre_scores_gemma":[0.18357424,0.004583591,0.78816706,0.0002533945,0.00020885031,0.00015499521,0.0005279775,0.00024262366,0.022287285],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931586,0.00006955342,0.000062002546,0.000120420285,0.00037563054,0.000056566485],"domain_scores_gemma":[0.99820507,0.0005530322,0.00023596692,0.00060727325,0.00034101267,0.00005758475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012095971,0.0004676286,0.0005251604,0.0029922188,0.00052673457,0.0018985621,0.0010411608,0.0009474421,0.0062660533],"category_scores_gemma":[0.0023459096,0.00044793283,0.0004783816,0.002020099,0.00074685126,0.0044243415,0.0009799746,0.0005450371,0.0029093844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002847169,0.00012717418,0.0013942803,0.00045551383,0.000042380783,0.0005092641,0.000550086,0.0016456855,0.29497942,0.018259928,0.0028375015,0.67891407],"study_design_scores_gemma":[0.00009244287,0.0013293163,0.006089529,0.00028341092,0.00018977636,0.0066222316,0.00080355786,0.028135335,0.74149084,0.013580832,0.20115636,0.00022643505],"about_ca_topic_score_codex":0.00035427237,"about_ca_topic_score_gemma":0.0007696544,"teacher_disagreement_score":0.0062660533,"about_ca_system_score_codex":0.00030241645,"about_ca_system_score_gemma":0.00034605013,"threshold_uncertainty_score":0.02096206},"labels":[],"label_agreement":null},{"id":"W2021345485","doi":"10.4028/www.scientific.net/msf.447-448.131","title":"Computer Simulation of Superplastic Forming in Restorative Dentistry","year":2004,"lang":"en","type":"article","venue":"Materials science forum","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Materials science; Superplasticity; Restorative dentistry; Metallurgy; Dentistry; Medicine; Alloy","score_opus":0.01344194401329361,"score_gpt":0.2699573051586344,"score_spread":0.2565153611453408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021345485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48406583,0.0012065528,0.44980565,0.0010234608,0.0002461065,0.00023975119,0.0010682801,0.002235139,0.060109187],"genre_scores_gemma":[0.9321617,0.00036098974,0.057214912,0.00009026999,0.000019755278,0.00021457521,0.00038893014,0.00014431556,0.009404496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998307,0.00004822408,0.000008135029,0.000017305589,0.00007500242,0.000020665713],"domain_scores_gemma":[0.9992811,0.00051689247,0.000039464605,0.000038037455,0.000091032256,0.000033495602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003317388,0.0003602595,0.00049868727,0.00036571934,0.0003949465,0.0007564519,0.0008758774,0.0013432347,0.007424981],"category_scores_gemma":[0.0013475547,0.0003939389,0.0004904673,0.00040714286,0.0005782422,0.00049504446,0.00046279808,0.00047838598,0.00058132043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004539346,0.00002218656,0.0003762848,0.00003545977,0.000006317202,0.000044325978,0.000047923924,0.98928946,0.00084549026,0.0041499753,0.00038923105,0.004748052],"study_design_scores_gemma":[0.0000086253895,0.000010348226,0.00009320361,0.0000032703115,0.000001689034,0.000012550956,0.000008803137,0.9978694,0.00030589677,0.000902436,0.0007806578,0.0000031119644],"about_ca_topic_score_codex":0.00654201,"about_ca_topic_score_gemma":0.0047881203,"teacher_disagreement_score":0.007424981,"about_ca_system_score_codex":0.00074222166,"about_ca_system_score_gemma":0.00074012537,"threshold_uncertainty_score":0.024839044},"labels":[],"label_agreement":null},{"id":"W202200859","doi":"","title":"Geological, geomorphological and geophysical investigations of areas prone to clay slides: Examples from Buvika, Mid Norw","year":2007,"lang":"en","type":"dissertation","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Norges Geologiske Undersøkelse; Statens vegvesen; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Geology; Geomorphology; Geophysics; Geochemistry","score_opus":0.024792567921636786,"score_gpt":0.2697079273549459,"score_spread":0.24491535943330914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W202200859","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818425,0.001321713,0.00035366908,0.00008680459,0.000024664181,0.000070067865,0.0015047351,0.000023884244,0.014771924],"genre_scores_gemma":[0.98877734,0.0011624079,0.0014568553,0.000027314436,0.000008756793,0.000046731562,0.0013134413,0.000014420901,0.007192766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982435,0.000016668439,0.000012598412,0.000044014436,0.000044503508,0.000057889112],"domain_scores_gemma":[0.9998455,0.000019959181,0.000042253425,0.000014673098,0.000033906992,0.000043731525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017546762,0.00028343982,0.00020032877,0.0019777026,0.0009578888,0.0007828246,0.0003711821,0.00027987268,0.0018282892],"category_scores_gemma":[0.00027674803,0.00019204064,0.00023821964,0.0018212923,0.0007435913,0.0002882619,0.00090339687,0.00026726205,0.0005322967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049486663,0.00025700827,0.76080275,0.0010486962,0.000100081365,0.016560448,0.03512983,0.0014435797,0.037271637,0.0013918018,0.004336734,0.14116259],"study_design_scores_gemma":[0.000004303992,0.000075505115,0.972984,0.00009693855,0.00001008425,0.0016112627,0.0101499995,0.000106024,0.00035879586,0.00004794232,0.014543308,0.000011882615],"about_ca_topic_score_codex":0.108273916,"about_ca_topic_score_gemma":0.34380218,"teacher_disagreement_score":0.108273916,"about_ca_system_score_codex":0.0009886398,"about_ca_system_score_gemma":0.0014579687,"threshold_uncertainty_score":0.21528739},"labels":[],"label_agreement":null},{"id":"W2022922662","doi":"10.1145/2508363.2508393","title":"Projective analysis for 3D shape segmentation","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; Israel Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Shape analysis (program analysis); Segmentation; Computer science; Projection (relational algebra); Artificial intelligence; Piecewise; Computer vision; Mathematics; Pattern recognition (psychology); Topology (electrical circuits); Algorithm; Combinatorics; Mathematical analysis","score_opus":0.021601987089982084,"score_gpt":0.2657111968470783,"score_spread":0.24410920975709618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022922662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013136343,0.000081156686,0.99690884,0.000054005224,0.000012461316,0.000022171396,0.0000993435,0.0007135447,0.0007949095],"genre_scores_gemma":[0.09543431,0.0005097732,0.9001682,0.00015391594,0.00009774455,0.00017300285,0.001208572,0.0008546675,0.001399745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977223,0.0004000182,0.00012118048,0.000587922,0.0009925494,0.00017596882],"domain_scores_gemma":[0.99776495,0.00057397387,0.0002632197,0.0007861863,0.00051578734,0.00009593397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447475,0.0015197014,0.0012204831,0.0036808217,0.0010421864,0.003856164,0.0022611646,0.0015273839,0.0058362717],"category_scores_gemma":[0.0054581533,0.0011930958,0.002268101,0.0031839302,0.0025813668,0.0034093573,0.003868777,0.0023836982,0.003025117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016504894,0.000077594355,0.002324143,0.0004520304,0.0002010051,0.00048663627,0.00070805097,0.22494277,0.045038667,0.27013326,0.009545402,0.44592535],"study_design_scores_gemma":[0.000009421191,0.00006221101,0.00092657417,0.000046947196,0.00003237783,0.0004341784,0.00012961695,0.8448668,0.015393167,0.121238165,0.016804187,0.000056475958],"about_ca_topic_score_codex":0.0027826498,"about_ca_topic_score_gemma":0.0028391194,"teacher_disagreement_score":0.0058362717,"about_ca_system_score_codex":0.0014884591,"about_ca_system_score_gemma":0.0013494072,"threshold_uncertainty_score":0.019524276},"labels":[],"label_agreement":null},{"id":"W2023179773","doi":"10.1007/s10933-006-9082-x","title":"PaleoNet: new software for building, evaluating and applying neural network based transfer functions in paleoecology","year":2007,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Paleoecology; Sedimentology; Artificial neural network; Geology; Software; Computer science; Paleontology; Artificial intelligence","score_opus":0.02736466165186444,"score_gpt":0.30377716502265734,"score_spread":0.2764125033707929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023179773","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026738113,0.00027809423,0.7551183,0.00017987042,0.00025225515,0.00031636475,0.0045471992,0.20777965,0.0047901263],"genre_scores_gemma":[0.17809215,0.00051217736,0.7635764,0.00025069315,0.000089877794,0.0020079296,0.008080123,0.031554226,0.015836418],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996979,0.0000443091,0.00004027539,0.000062188185,0.00012953482,0.000025830237],"domain_scores_gemma":[0.99871397,0.0007959851,0.000081169615,0.00011746096,0.00023055075,0.000060899652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016031616,0.0014979588,0.0009823809,0.0019496434,0.0005497458,0.001349068,0.0020082146,0.0014314641,0.032467414],"category_scores_gemma":[0.0048196986,0.0010748641,0.0009499631,0.0009905593,0.00050997105,0.0018993211,0.0015639799,0.0014720563,0.0036838797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011612446,0.00046174557,0.007334729,0.0015803186,0.00069165,0.00075111346,0.0009030586,0.21654363,0.03242021,0.013996001,0.08460373,0.6395526],"study_design_scores_gemma":[0.0002453778,0.00010851701,0.0026454974,0.00007695294,0.00010530626,0.00022087511,0.000056266912,0.9319758,0.024193259,0.010441395,0.02984019,0.00009042292],"about_ca_topic_score_codex":0.005103289,"about_ca_topic_score_gemma":0.008425027,"teacher_disagreement_score":0.032467414,"about_ca_system_score_codex":0.0007650888,"about_ca_system_score_gemma":0.00095907325,"threshold_uncertainty_score":0.108614385},"labels":[],"label_agreement":null},{"id":"W2029285731","doi":"10.1007/pl00011469","title":"Assessing polygon edge integrity","year":2001,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada); University of Waterloo","funders":"","keywords":"Woodland; Polygon (computer graphics); Indeterminacy (philosophy); Context (archaeology); Geography; Mathematics; Representation (politics); Simplicial complex; Computer science; Combinatorics; Ecology","score_opus":0.02485730362783424,"score_gpt":0.2830891807104813,"score_spread":0.25823187708264705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029285731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6127211,0.00065867935,0.37018427,0.00022743351,0.00009217525,0.00027662242,0.001957358,0.0029186006,0.010963791],"genre_scores_gemma":[0.8933984,0.0002449603,0.10204327,0.000023133913,0.000031175983,0.000047587597,0.0021310174,0.0002539149,0.001826504],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963536,0.00048557483,0.00036205316,0.00049349305,0.0020854352,0.00021983344],"domain_scores_gemma":[0.987665,0.0026425447,0.0015273804,0.0024513912,0.0052530426,0.00046063724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024210669,0.0007455926,0.0010190124,0.007466662,0.0009326866,0.0028376752,0.0013238676,0.0014807371,0.0048775277],"category_scores_gemma":[0.016216505,0.000668493,0.0008132182,0.0031179446,0.0009766156,0.0039207446,0.002011526,0.00082809967,0.002228274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001988062,0.00028443622,0.2149792,0.000422326,0.00044283154,0.00054383156,0.00054686,0.049554374,0.08858102,0.0079142675,0.0034775275,0.6312653],"study_design_scores_gemma":[0.00004534009,0.0006668176,0.11261071,0.00010258055,0.00043351395,0.002562436,0.0011601468,0.68832374,0.17549206,0.0078874035,0.010604575,0.00011067205],"about_ca_topic_score_codex":0.0025348773,"about_ca_topic_score_gemma":0.003335407,"teacher_disagreement_score":0.007466662,"about_ca_system_score_codex":0.00056018244,"about_ca_system_score_gemma":0.00071466557,"threshold_uncertainty_score":0.01631701},"labels":[],"label_agreement":null},{"id":"W2040329620","doi":"10.1145/2366145.2366198","title":"Field-guided registration for feature-conforming shape composition","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Feature (linguistics); Piecewise; Interpolation (computer graphics); Field (mathematics); Salient; Computer science; Artificial intelligence; Surface (topology); Vector field; Algorithm; Computer vision; Mathematics; Pattern recognition (psychology); Geometry; Mathematical analysis; Image (mathematics)","score_opus":0.030774097347295873,"score_gpt":0.2842266811336229,"score_spread":0.25345258378632707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040329620","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004951704,0.000023788325,0.9935161,0.000016536284,0.000011492219,0.000029351893,0.000012106629,0.0009816831,0.00045732158],"genre_scores_gemma":[0.11802775,0.000060560516,0.879178,0.000048630573,0.000017947466,0.00008195596,0.00014633867,0.00068364735,0.0017552167],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991167,0.00012310527,0.00004435405,0.00019770532,0.00044813647,0.000069917805],"domain_scores_gemma":[0.9991781,0.00019287212,0.0001064623,0.00027535539,0.00019940145,0.000047788708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010389428,0.0008593038,0.0010123488,0.0018532304,0.0007264481,0.0010821786,0.0015606381,0.0012269422,0.0034409722],"category_scores_gemma":[0.0022003422,0.0007846716,0.0012713711,0.0010868815,0.0011274205,0.0015219693,0.0022437954,0.0015029659,0.0017276306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030777714,0.00017290602,0.001169852,0.00020162942,0.00008012134,0.00026449602,0.0005379592,0.20923497,0.19801006,0.030188452,0.0037447547,0.5560869],"study_design_scores_gemma":[0.00002544703,0.000109380424,0.00039094748,0.000013541987,0.000018518971,0.00039622202,0.000071866954,0.9151594,0.06479262,0.011726848,0.007246123,0.000049077244],"about_ca_topic_score_codex":0.0015358126,"about_ca_topic_score_gemma":0.0017876126,"teacher_disagreement_score":0.0034409722,"about_ca_system_score_codex":0.00060973887,"about_ca_system_score_gemma":0.0009701664,"threshold_uncertainty_score":0.011511207},"labels":[],"label_agreement":null},{"id":"W2045050577","doi":"10.1117/12.679694","title":"Surface registration technique for close-range mapping applications","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Iterative closest point; Point cloud; Computer science; Artificial intelligence; Computer vision; Laser scanning; Image registration; Matching (statistics); Range (aeronautics); Laser; Image (mathematics); Mathematics; Optics","score_opus":0.010978944019951139,"score_gpt":0.22737856605487275,"score_spread":0.2163996220349216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045050577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038421662,0.00019952978,0.99265385,0.000072113784,0.000047954924,0.000035429483,0.000025180785,0.0011111973,0.0020125723],"genre_scores_gemma":[0.16202867,0.00077237043,0.82986516,0.00011774463,0.00008954643,0.00016995455,0.00044416465,0.00054402754,0.0059683793],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883825,0.00017299289,0.000058534264,0.00019585584,0.00067279104,0.00006161866],"domain_scores_gemma":[0.9992612,0.0001589167,0.000069553724,0.00022086702,0.0002692643,0.000020236404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053711765,0.0007035677,0.0006336177,0.0013355039,0.00043912613,0.0009437735,0.0010803029,0.0012240643,0.006340886],"category_scores_gemma":[0.0017742164,0.00038037647,0.0008487154,0.0019544712,0.00053017813,0.0016390365,0.0012216542,0.0013719192,0.004503997],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011958626,0.00010075168,0.000735264,0.00023312097,0.000053873948,0.00029445847,0.00028315623,0.025941025,0.13631748,0.019824848,0.0071674474,0.808929],"study_design_scores_gemma":[0.000039258673,0.00033819507,0.0031174703,0.00006151661,0.00008216561,0.0031924553,0.00033558995,0.64556664,0.22751385,0.019115245,0.10052424,0.00011335417],"about_ca_topic_score_codex":0.0004972801,"about_ca_topic_score_gemma":0.00054308906,"teacher_disagreement_score":0.006340886,"about_ca_system_score_codex":0.000239259,"about_ca_system_score_gemma":0.0005322062,"threshold_uncertainty_score":0.021212399},"labels":[],"label_agreement":null},{"id":"W2049226870","doi":"10.1190/1.1895307","title":"SAUCE: A new technique to remove cultural noise from HRAM data","year":2005,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ATCO (Canada)","funders":"","keywords":"Noise (video); Computer science; Acoustics; Artificial intelligence; Physics","score_opus":0.04796461262886019,"score_gpt":0.311860716143387,"score_spread":0.2638961035145268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049226870","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014719246,0.00026168794,0.9749531,0.00017362373,0.00018025488,0.0000684171,0.0002431433,0.007466186,0.0019342942],"genre_scores_gemma":[0.036538158,0.00031087847,0.95674676,0.00016761027,0.00010118826,0.0001041832,0.00058626477,0.0016452704,0.003799753],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993025,0.000090310095,0.000045518467,0.0001083655,0.00040080232,0.000052466887],"domain_scores_gemma":[0.9977683,0.00058308826,0.00020851949,0.0007045451,0.0006245448,0.00011107324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012002793,0.0008866616,0.00046926874,0.0012931813,0.00060420414,0.0013112499,0.0013481074,0.00076445186,0.0039577694],"category_scores_gemma":[0.0037273867,0.00047967111,0.0008684658,0.00094670313,0.0008098643,0.0011680729,0.0012477308,0.0017790197,0.002388752],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028509088,0.00006950718,0.001405941,0.00039791266,0.00015989525,0.00045079933,0.00070461887,0.0053577726,0.45573857,0.0046553793,0.0156885,0.51508594],"study_design_scores_gemma":[0.00007190143,0.00032491793,0.006781566,0.000070891554,0.00011851738,0.0030685288,0.00033202145,0.12983759,0.70788,0.0047157397,0.14657867,0.00021971748],"about_ca_topic_score_codex":0.0006654638,"about_ca_topic_score_gemma":0.0018279012,"teacher_disagreement_score":0.0039577694,"about_ca_system_score_codex":0.00017774565,"about_ca_system_score_gemma":0.00049656414,"threshold_uncertainty_score":0.013240099},"labels":[],"label_agreement":null},{"id":"W2070512361","doi":"10.1214/12-aoas566","title":"Dating medieval English charters","year":2012,"lang":"en","type":"article","venue":"The Annals of Applied Statistics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Documentation; History; Politics; Genealogy; Phrase; Variation (astronomy); Classics; Law; Computer science; Political science; Natural language processing","score_opus":0.05168577421080451,"score_gpt":0.30302702096211015,"score_spread":0.25134124675130565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070512361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94438136,0.0027034741,0.013025005,0.00025082874,0.00015120168,0.00013430584,0.018960658,0.0001751411,0.020218082],"genre_scores_gemma":[0.9550959,0.0019002364,0.017291794,0.000029689552,0.000078689925,0.00011830558,0.014443427,0.000094109564,0.010947914],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987808,0.00030069432,0.0001763293,0.00026610942,0.00035270283,0.00012337964],"domain_scores_gemma":[0.99061394,0.0023072646,0.0018215147,0.0011131988,0.0038855695,0.0002585784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001679475,0.0002402172,0.00027399714,0.006045381,0.0008487469,0.0013841696,0.0004520846,0.00021806567,0.0028622304],"category_scores_gemma":[0.0110420175,0.0001843891,0.0001302906,0.006311666,0.0007287977,0.0009616214,0.0010112089,0.0003686116,0.0008766071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005005631,0.00007865059,0.49454677,0.0008124716,0.000085312146,0.00090236025,0.041825626,0.004229955,0.0053370865,0.018851865,0.029409144,0.40342024],"study_design_scores_gemma":[0.000013854654,0.00004998825,0.7807599,0.00024625222,0.00004148134,0.0003278762,0.009463099,0.0027228787,0.0068512983,0.0013743193,0.19809671,0.000052402385],"about_ca_topic_score_codex":0.06280338,"about_ca_topic_score_gemma":0.13724455,"teacher_disagreement_score":0.06280338,"about_ca_system_score_codex":0.0014716038,"about_ca_system_score_gemma":0.0010727048,"threshold_uncertainty_score":0.124875665},"labels":[],"label_agreement":null},{"id":"W2075033581","doi":"10.1016/j.cviu.2005.06.002","title":"The influence of perceptual grouping on motion detection","year":2005,"lang":"en","type":"article","venue":"Computer Vision and Image Understanding","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Computation; Gestalt psychology; Robustness (evolution); Edge detection; Motion (physics); Structure from motion; Perception; Pattern recognition (psychology); Algorithm; Image processing; Image (mathematics)","score_opus":0.016892855774401822,"score_gpt":0.2484410687259043,"score_spread":0.23154821295150246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075033581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.833877,0.002263441,0.14547513,0.00059877196,0.00028549528,0.00006256716,0.00020080464,0.00067469507,0.016561983],"genre_scores_gemma":[0.9764608,0.0004931847,0.020590639,0.00009013232,0.00012555986,0.000020158746,0.00016055937,0.00044216678,0.0016166926],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990971,0.00031014773,0.00003315705,0.00020286303,0.00023753988,0.00011933643],"domain_scores_gemma":[0.98660034,0.0096972035,0.00068843906,0.0012703214,0.0010889516,0.0006547279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012375531,0.00060208177,0.00092726003,0.00080863317,0.0008177396,0.001683865,0.0007062383,0.0009194858,0.004052517],"category_scores_gemma":[0.022609508,0.00056634966,0.00052758504,0.0008147555,0.00095858396,0.0022038491,0.0012679049,0.0007856745,0.00088446104],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046639876,0.0003385469,0.007913443,0.00046210943,0.00022060655,0.0003902817,0.0007344122,0.03062932,0.71073085,0.011527243,0.0030645176,0.22932456],"study_design_scores_gemma":[0.00036204085,0.0018081425,0.12221156,0.00011888032,0.000713617,0.0014963676,0.0007800531,0.5514406,0.25106466,0.06320074,0.006617772,0.00018560655],"about_ca_topic_score_codex":0.001736635,"about_ca_topic_score_gemma":0.0014586707,"teacher_disagreement_score":0.004052517,"about_ca_system_score_codex":0.00035489586,"about_ca_system_score_gemma":0.000439181,"threshold_uncertainty_score":0.013557017},"labels":[],"label_agreement":null},{"id":"W2082568765","doi":"10.2113/gscanmin.41.5.1297","title":"Techniques in Archaeological Geology.: By Ervan G. Garrison. Springer-Verlag London Ltd., Sweetapple House, Cattleshall Lane, Godalming GU7 3DJ, U.K. (Natural Science in Archaeology Series), 2003, 304 pages. US$95, hard cover (ISBN 3 540 43822 X).","year":2003,"lang":"en","type":"article","venue":"The Canadian Mineralogist","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Archaeology; Series (stratigraphy); Natural (archaeology); Geology; Natural science; Geography; Paleontology; Philosophy","score_opus":0.011223431501241015,"score_gpt":0.2181710248070248,"score_spread":0.20694759330578377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082568765","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00069541694,0.93745404,0.010108699,0.0069072545,0.007939265,0.000086576365,0.0009907687,0.0008504243,0.03496752],"genre_scores_gemma":[0.008742692,0.7238094,0.01788904,0.004634416,0.004830124,0.00029032663,0.0018639498,0.0012784537,0.23666164],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916494,0.00015381875,0.00009273233,0.00024041538,0.00029304417,0.000055091623],"domain_scores_gemma":[0.9990741,0.00041950072,0.00012381811,0.00008608219,0.0002127781,0.00008364365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011402266,0.0039591063,0.0023114802,0.0052212453,0.0011865268,0.0023797997,0.001320369,0.0019293561,0.057899997],"category_scores_gemma":[0.0022905772,0.0018418018,0.0009947451,0.0065854313,0.0022870698,0.006506202,0.0030997233,0.0035512806,0.059929814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007614334,0.000037672056,0.00025340228,0.0013885366,0.000036365902,0.00013043429,0.0002933673,0.0003720365,0.00070564914,0.003109918,0.60175675,0.3918397],"study_design_scores_gemma":[0.000014921149,0.00002776939,0.0011542279,0.0012428638,0.000018949006,0.0010735121,0.0001893698,0.00036033365,0.0002906481,0.0050377334,0.99056447,0.000025121024],"about_ca_topic_score_codex":0.007598365,"about_ca_topic_score_gemma":0.012665248,"teacher_disagreement_score":0.057899997,"about_ca_system_score_codex":0.0011494517,"about_ca_system_score_gemma":0.0010828907,"threshold_uncertainty_score":0.19369477},"labels":[],"label_agreement":null},{"id":"W2084399632","doi":"10.1179/009346905791072134","title":"A Three-Dimensional Model of a Thule Inuit Whale Bone House","year":2005,"lang":"en","type":"article","venue":"Journal of Field Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Whale; Arctic; Archaeology; Baleen; Prehistory; The arctic; Geology; Geography; Computer science; Oceanography; Ecology; Biology","score_opus":0.014217238809982682,"score_gpt":0.23504489486836297,"score_spread":0.22082765605838028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084399632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48721084,0.00065531617,0.395573,0.0014086501,0.00030712836,0.0004782422,0.00476233,0.0022099698,0.10739457],"genre_scores_gemma":[0.8898943,0.0005168229,0.09092903,0.00008890221,0.0000154886,0.00018831693,0.0013856511,0.00013385291,0.016847657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999081,0.000012105851,0.0000056699064,0.000021147296,0.000038213784,0.00001468089],"domain_scores_gemma":[0.99993134,0.000021380936,0.000006304018,0.000012363544,0.000015419717,0.000013274954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008981918,0.0004047785,0.00029076013,0.00039730172,0.0008197423,0.0013231101,0.00087680755,0.0009618862,0.008457019],"category_scores_gemma":[0.00024759804,0.00029172335,0.0005346824,0.0004750213,0.0008232042,0.0004511676,0.0009910945,0.00030277562,0.0009460137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030276485,0.0001419774,0.0064177774,0.00030408133,0.00006809215,0.0041916547,0.0029564558,0.84118533,0.04680366,0.039368503,0.006068221,0.05219152],"study_design_scores_gemma":[0.0000627883,0.00019858361,0.007820568,0.00008136165,0.00008013685,0.0016117484,0.0014231397,0.93028504,0.006068201,0.0039973487,0.048252422,0.00011867858],"about_ca_topic_score_codex":0.082708284,"about_ca_topic_score_gemma":0.102572724,"teacher_disagreement_score":0.082708284,"about_ca_system_score_codex":0.00065734476,"about_ca_system_score_gemma":0.0014983203,"threshold_uncertainty_score":0.16445374},"labels":[],"label_agreement":null},{"id":"W2103272296","doi":"10.1109/icpr.2000.905502","title":"Generic modeling of 3D objects from single 2D images","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; A priori and a posteriori; Computer vision; Artificial intelligence; Object (grammar); Set (abstract data type); Context (archaeology); Basis (linear algebra); Solid modeling; 3D modeling; 3d model; Context model; Computer graphics (images); Mathematics; Geometry","score_opus":0.03028517846892377,"score_gpt":0.20833469466442156,"score_spread":0.1780495161954978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103272296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015640592,0.00010468425,0.9971226,0.00003528216,0.0000094355555,0.000019064873,0.000068961235,0.00056655763,0.0005094455],"genre_scores_gemma":[0.096949674,0.0012897509,0.89902073,0.00009853378,0.000056487268,0.000096739524,0.00073535886,0.00031889678,0.0014337113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994498,0.00007203009,0.00003058148,0.00016311138,0.00024731283,0.000037107275],"domain_scores_gemma":[0.9993042,0.0001264287,0.00012715023,0.00035334766,0.00006704033,0.00002185087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062585407,0.001165384,0.0013519672,0.001778952,0.00047294277,0.002043218,0.0017791679,0.0014164216,0.0022267872],"category_scores_gemma":[0.0013993358,0.0011462768,0.0022445312,0.0017415804,0.0013732794,0.0024842138,0.0021108035,0.0010637044,0.0014241555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007999843,0.000049313338,0.0016629156,0.000744031,0.00020867253,0.0005496898,0.00049819815,0.4885107,0.048794437,0.10804731,0.0039175367,0.3469372],"study_design_scores_gemma":[0.0000053025174,0.00004581987,0.0007841742,0.00004443005,0.000038009923,0.0006958916,0.000067799956,0.9382282,0.010507476,0.034082253,0.015445252,0.000055477165],"about_ca_topic_score_codex":0.0018053896,"about_ca_topic_score_gemma":0.0033360934,"teacher_disagreement_score":0.0022267872,"about_ca_system_score_codex":0.0007544262,"about_ca_system_score_gemma":0.0006563907,"threshold_uncertainty_score":0.0074493885},"labels":[],"label_agreement":null},{"id":"W2104881418","doi":"10.1109/icpr.1992.201945","title":"A comparison of methods of extracting curvature features","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Curvature; Set (abstract data type); Computer science; Numeral system; Artificial intelligence; Feature extraction; Strengths and weaknesses; Pattern recognition (psychology); Information retrieval; Natural language processing; Data mining; Mathematics; Geometry; Psychology; Programming language","score_opus":0.04628116360155253,"score_gpt":0.41704707706020966,"score_spread":0.3707659134586571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104881418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034953225,0.04354886,0.8869392,0.00056893984,0.0013654965,0.00085265964,0.0015071142,0.0102758575,0.01998867],"genre_scores_gemma":[0.115908265,0.029176224,0.83501714,0.0003560998,0.00035979814,0.0005614383,0.0031432158,0.0018130433,0.013664722],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99372584,0.00071081554,0.00052324904,0.00078356214,0.0039918623,0.00026468988],"domain_scores_gemma":[0.98999864,0.004146881,0.0005017418,0.0013206546,0.0038102197,0.00022198114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004731366,0.0019172408,0.001936431,0.007840239,0.0008591331,0.0021128915,0.002611131,0.0024909133,0.0062749228],"category_scores_gemma":[0.015627796,0.0011878631,0.0021039406,0.0051718117,0.000594018,0.0028852634,0.0015724808,0.0011102754,0.0043465425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006928953,0.00011297643,0.0023184873,0.0021628926,0.00048402435,0.0000995876,0.00025924394,0.0032888774,0.017150233,0.0019794172,0.0054985303,0.96595275],"study_design_scores_gemma":[0.00085628335,0.004749788,0.11056564,0.0037382054,0.0024242878,0.014868462,0.0025200373,0.2603246,0.27600276,0.017659886,0.3046717,0.0016182285],"about_ca_topic_score_codex":0.003078412,"about_ca_topic_score_gemma":0.003856307,"teacher_disagreement_score":0.007840239,"about_ca_system_score_codex":0.0005463098,"about_ca_system_score_gemma":0.0009736369,"threshold_uncertainty_score":0.025022209},"labels":[],"label_agreement":null},{"id":"W2106322137","doi":"","title":"ÉTS-IRSST Common Infrastructure for Research in Acoustics - ICAR","year":2015,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; École de Technologie Supérieure","funders":"","keywords":"Anechoic chamber; Acoustics; Engineering; Physics","score_opus":0.07093499177494447,"score_gpt":0.3342332356875981,"score_spread":0.26329824391265366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106322137","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013420971,0.002921721,0.29670462,0.012859764,0.010445484,0.0015813084,0.03287836,0.09724717,0.5319407],"genre_scores_gemma":[0.08518795,0.0022215585,0.23979382,0.0029331914,0.0022841115,0.0017520742,0.10116479,0.021763321,0.54289913],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98560566,0.0020442856,0.0004893983,0.0021427043,0.007919092,0.001798943],"domain_scores_gemma":[0.9675453,0.0012918046,0.00089948956,0.0064127753,0.018556938,0.005293763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018919151,0.002261935,0.0025866493,0.0037362329,0.0023790742,0.0074143372,0.0042261938,0.0039490117,0.13350415],"category_scores_gemma":[0.0136769675,0.0008540062,0.0014595948,0.0023615013,0.002249512,0.0037151864,0.010909817,0.0039603133,0.16919379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011683544,0.0005422177,0.003196439,0.00039879198,0.00009754647,0.00039458953,0.00038027312,0.004308365,0.033037137,0.03939362,0.7057385,0.21134412],"study_design_scores_gemma":[0.00013774814,0.00027381346,0.003672434,0.00010047677,0.000024445073,0.00026922923,0.00015498622,0.0068614352,0.009557062,0.005089721,0.9737551,0.00010359667],"about_ca_topic_score_codex":0.029473003,"about_ca_topic_score_gemma":0.02329224,"teacher_disagreement_score":0.9952075,"about_ca_system_score_codex":0.0047925212,"about_ca_system_score_gemma":0.023635002,"threshold_uncertainty_score":0.44661587},"labels":[],"label_agreement":null},{"id":"W2109321831","doi":"10.1109/igarss.1990.688658","title":"Recognition Of Lithological Units In Airborne Sar Images Using New Texture Features","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Artificial intelligence; Texture (cosmology); Computer vision; Remote sensing; Geology; Computer science; Synthetic aperture radar; Radar imaging; Image texture; Image (mathematics); Image segmentation; Radar; Telecommunications","score_opus":0.035377883541008945,"score_gpt":0.26801070804837746,"score_spread":0.2326328245073685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109321831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7897175,0.00036582595,0.2046853,0.00012687974,0.00009662005,0.00005280818,0.0005364491,0.00063614355,0.0037825056],"genre_scores_gemma":[0.8993901,0.000411734,0.09754694,0.00004144181,0.00008204438,0.000025311088,0.00054733176,0.000071109476,0.001883998],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994135,0.000003333296,0.000003981899,0.000013870175,0.00002308846,0.0000143745165],"domain_scores_gemma":[0.99981827,0.00003817317,0.00003753504,0.000023626206,0.00005519698,0.000027206694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007016797,0.00026998218,0.00025617442,0.001380974,0.00015024056,0.0005800853,0.0002106371,0.00029138062,0.0011773076],"category_scores_gemma":[0.00031814934,0.00020342659,0.0002885393,0.0009585457,0.00026140382,0.00045845928,0.00023919078,0.00027829377,0.00044199824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004324753,0.000106826395,0.021528447,0.00021270743,0.00005074135,0.00048051876,0.0001707892,0.007571707,0.6216683,0.00093203643,0.00095129287,0.34589407],"study_design_scores_gemma":[0.00014859888,0.00046524766,0.26950434,0.000060319497,0.0003963377,0.003462817,0.0007736168,0.39459106,0.31688598,0.0026820763,0.010947534,0.00008209587],"about_ca_topic_score_codex":0.0012097245,"about_ca_topic_score_gemma":0.0024008215,"teacher_disagreement_score":0.001380974,"about_ca_system_score_codex":0.00011490871,"about_ca_system_score_gemma":0.00018182473,"threshold_uncertainty_score":0.003938496},"labels":[],"label_agreement":null},{"id":"W2110060477","doi":"10.1119/1.19457","title":"Curve fits in the presence of random and systematic error","year":2000,"lang":"en","type":"article","venue":"American Journal of Physics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autocovariance; Random error; Systematic error; Residual; Physics; Statistics; Statistical error; Function (biology); Statistical physics; Error analysis; Curve fitting; Applied mathematics; Algorithm; Mathematics; Fourier transform; Quantum mechanics","score_opus":0.008660299186847398,"score_gpt":0.24018012269001682,"score_spread":0.2315198235031694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110060477","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09648648,0.00031594635,0.8847118,0.00029587152,0.0001593169,0.00022741186,0.001417661,0.011627991,0.004757486],"genre_scores_gemma":[0.57423794,0.0006706104,0.39698318,0.00036852492,0.000053152602,0.0007312583,0.0051710224,0.011927657,0.0098567195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99403834,0.0012500243,0.00045317676,0.0013780553,0.002460098,0.00042033484],"domain_scores_gemma":[0.9818441,0.0074928016,0.0010230439,0.004536536,0.0048456145,0.00025777982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006549989,0.001581135,0.0012386233,0.003247167,0.00074914866,0.0015912146,0.0020573568,0.0021425793,0.0060181026],"category_scores_gemma":[0.05062963,0.0007448764,0.00095571735,0.0039863572,0.0006499763,0.0033147456,0.0017808015,0.0025581415,0.0037614072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017028953,0.0005916187,0.01412036,0.0012047683,0.00094103004,0.0006709144,0.0018942255,0.4797831,0.1391363,0.029943982,0.016222326,0.3137886],"study_design_scores_gemma":[0.00006066183,0.00016442846,0.007717238,0.0000751262,0.00013522059,0.00033884647,0.00018509028,0.8597695,0.10291802,0.01545742,0.012881348,0.00029714123],"about_ca_topic_score_codex":0.0055489857,"about_ca_topic_score_gemma":0.005185399,"teacher_disagreement_score":0.006549989,"about_ca_system_score_codex":0.001237285,"about_ca_system_score_gemma":0.0017671585,"threshold_uncertainty_score":0.034640014},"labels":[],"label_agreement":null},{"id":"W2112083594","doi":"10.1109/icassp.2009.4959853","title":"Document reconstruction using dynamic programming","year":2009,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Dynamic programming; Computer science; Algorithm; Data mining; Artificial intelligence","score_opus":0.009125124816395484,"score_gpt":0.26024866956492776,"score_spread":0.25112354474853227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112083594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033383411,0.00008039323,0.9953406,0.000028921339,0.000007733668,0.000022942659,0.000017027309,0.00039614568,0.000767843],"genre_scores_gemma":[0.06936684,0.00021158902,0.9275874,0.000038534585,0.0000212366,0.00009767448,0.0001811243,0.000247675,0.0022479373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899906,0.00017994347,0.00006018919,0.00025252157,0.00044114736,0.000067210734],"domain_scores_gemma":[0.99907196,0.00041688737,0.00008738867,0.00020327623,0.00019002675,0.000030380945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008690796,0.00064125995,0.0011625256,0.0014389888,0.00044616286,0.0016003302,0.0014751042,0.0006913346,0.0034231073],"category_scores_gemma":[0.0025586064,0.0005414299,0.0011520112,0.0014632285,0.0006575133,0.0015715746,0.0012997332,0.0010411672,0.0009787146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014132605,0.000087999826,0.00082484185,0.00020816142,0.00008500521,0.00014207268,0.0001470314,0.20066592,0.015833067,0.019248132,0.0019399227,0.7606765],"study_design_scores_gemma":[0.000017507553,0.00008305745,0.0002667457,0.000020818274,0.000023746596,0.0003047776,0.000059441812,0.96716124,0.014688368,0.011338823,0.006014903,0.000020683328],"about_ca_topic_score_codex":0.0019150414,"about_ca_topic_score_gemma":0.0018355813,"teacher_disagreement_score":0.0034231073,"about_ca_system_score_codex":0.000511313,"about_ca_system_score_gemma":0.0006862852,"threshold_uncertainty_score":0.011451364},"labels":[],"label_agreement":null},{"id":"W2113561748","doi":"10.1109/tvcg.2010.62","title":"Shape: A 3D Modeling Tool for Astrophysics","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; A priori and a posteriori; Graphics; Computer graphics; Object (grammar); Object-oriented programming; 3D modeling; Data modeling; Computer graphics (images); Data mining; Artificial intelligence; Programming language; Software engineering","score_opus":0.015229372230685725,"score_gpt":0.2615362609358107,"score_spread":0.24630688870512502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113561748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009903564,0.0001078817,0.9648181,0.00014580227,0.000072890114,0.000049981587,0.0012251559,0.030609319,0.001980475],"genre_scores_gemma":[0.05142384,0.000984892,0.9154842,0.00038481152,0.00009673542,0.0006416634,0.006649442,0.018484253,0.005850209],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933845,0.00008838764,0.000046500583,0.000081506536,0.00039750175,0.00004758698],"domain_scores_gemma":[0.9991934,0.00033516512,0.000060060862,0.00019007032,0.00014186927,0.00007950006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083577447,0.0018776004,0.0010224101,0.0018720485,0.0008451065,0.0023697747,0.0033784132,0.0018531008,0.022980582],"category_scores_gemma":[0.0027466803,0.0013800182,0.0023641346,0.0013686273,0.00089750055,0.0020026965,0.004641954,0.002519819,0.008084276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033628338,0.0001422103,0.0029000873,0.0011940692,0.00026959326,0.0011166212,0.00110818,0.17536701,0.038502086,0.07087754,0.17098035,0.53720593],"study_design_scores_gemma":[0.00010956268,0.0000625002,0.000767323,0.00018943827,0.0000693758,0.0011030706,0.000095083546,0.6135089,0.024033835,0.03794906,0.3219179,0.00019391181],"about_ca_topic_score_codex":0.002521652,"about_ca_topic_score_gemma":0.0029084298,"teacher_disagreement_score":0.022980582,"about_ca_system_score_codex":0.0004462794,"about_ca_system_score_gemma":0.0008990146,"threshold_uncertainty_score":0.07687765},"labels":[],"label_agreement":null},{"id":"W2118235702","doi":"10.1109/gmai.2006.1","title":"3D Object Reconstruction Using Geometric Computing","year":2006,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Exploit; Computer science; Visualization; Surface reconstruction; Process (computing); Feature (linguistics); Geometric shape; Artificial intelligence; Scientific visualization; Object (grammar); Lattice (music); Reverse engineering; Computer vision; Theoretical computer science; Computer graphics (images); Surface (topology); Geometry; Mathematics","score_opus":0.012941520978961079,"score_gpt":0.23149717830954827,"score_spread":0.21855565733058718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118235702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007376337,0.000060234346,0.9909491,0.00007409304,0.00000939486,0.000014984851,0.000037921563,0.0008592645,0.0006187179],"genre_scores_gemma":[0.15069632,0.00016957667,0.8476584,0.000049448558,0.000015360403,0.000044382294,0.0002497915,0.00016362024,0.00095309236],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994997,0.00010999864,0.000026548076,0.00010494202,0.00022396557,0.00003478279],"domain_scores_gemma":[0.99929094,0.00024657318,0.000054196153,0.0002578585,0.00012374771,0.000026590518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050731347,0.0005843026,0.0007126887,0.002029448,0.000405068,0.0015642107,0.0009948598,0.00080450706,0.002086386],"category_scores_gemma":[0.0020925833,0.000531707,0.001050507,0.001376825,0.0009983191,0.0014065566,0.0015308959,0.0006789879,0.00082295935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013416058,0.000055197295,0.0015314885,0.00012562661,0.00007758927,0.00023368586,0.00022793729,0.37184376,0.021499522,0.030822035,0.002964559,0.57048446],"study_design_scores_gemma":[0.0000073606025,0.000019085543,0.000299281,0.000008014393,0.0000072822136,0.00014273454,0.000050939983,0.97174203,0.0053350604,0.019454146,0.0029215296,0.000012501918],"about_ca_topic_score_codex":0.0023105314,"about_ca_topic_score_gemma":0.0023335414,"teacher_disagreement_score":0.0023105314,"about_ca_system_score_codex":0.0005364348,"about_ca_system_score_gemma":0.00066415704,"threshold_uncertainty_score":0.0069795847},"labels":[],"label_agreement":null},{"id":"W2129821487","doi":"10.1109/icpr.1992.201788","title":"Automatic evaluation of skeleton shapes","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Skeletonization; Matching (statistics); Computer science; Skeleton (computer programming); Artificial intelligence; Quality (philosophy); Data mining; Engineering drawing; Information retrieval; Pattern recognition (psychology); Mathematics; Engineering; Statistics","score_opus":0.02470345467257652,"score_gpt":0.2776042922912268,"score_spread":0.2529008376186503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129821487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06353899,0.0006187388,0.92080945,0.00009573769,0.00008097381,0.00027639838,0.0007531832,0.008758364,0.005068116],"genre_scores_gemma":[0.27136412,0.0004984811,0.71840835,0.00004613629,0.00003204395,0.00017611438,0.0032886264,0.001832426,0.0043537044],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958269,0.0007128199,0.00031920715,0.0007326031,0.0021177519,0.00029068522],"domain_scores_gemma":[0.9907099,0.0023529558,0.00076703186,0.0016741425,0.0042230533,0.00027286969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034872452,0.0014675006,0.0015120814,0.008821798,0.0009457272,0.0026485766,0.00160657,0.0014506025,0.011293493],"category_scores_gemma":[0.014821605,0.00065508764,0.0010212506,0.0031728863,0.0009454754,0.002398355,0.0021331375,0.00080615655,0.0050331256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005138991,0.00011252642,0.0049149073,0.00038884513,0.00007724562,0.00016405382,0.00020837031,0.021046806,0.17126043,0.006595169,0.0038345885,0.79088324],"study_design_scores_gemma":[0.00006887089,0.00048210923,0.021831106,0.00013109331,0.00010017894,0.0015478819,0.00038360874,0.58134717,0.36394268,0.011124531,0.01887771,0.00016306379],"about_ca_topic_score_codex":0.0011978352,"about_ca_topic_score_gemma":0.0017073058,"teacher_disagreement_score":0.011293493,"about_ca_system_score_codex":0.00065221515,"about_ca_system_score_gemma":0.0010258445,"threshold_uncertainty_score":0.037780523},"labels":[],"label_agreement":null},{"id":"W2130433121","doi":"10.1109/isic.1990.128624","title":"Intelligent control: a new decade for pulp and paper processes","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Intelligent control; Pulp (tooth); Computer science; Control (management); Intelligent decision support system; Process control; Intelligent agent; Artificial intelligence; Process (computing); Operating system","score_opus":0.021747048912637575,"score_gpt":0.23876111097626448,"score_spread":0.21701406206362692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130433121","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004399112,0.7141438,0.10791185,0.058973864,0.008906112,0.00004322187,0.000079520614,0.00059999526,0.10494255],"genre_scores_gemma":[0.20314229,0.5892111,0.07505954,0.021372529,0.023137722,0.00020553789,0.00022820996,0.00041371828,0.08722933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854904,0.00042648104,0.00009045362,0.00020253859,0.00058026705,0.0001511043],"domain_scores_gemma":[0.99807787,0.0010692881,0.00011137887,0.00021233699,0.0003476526,0.00018149921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026601055,0.0010920485,0.0008705574,0.0015533105,0.00102041,0.0052043344,0.001330512,0.0038431496,0.0077409423],"category_scores_gemma":[0.0031606625,0.0003192946,0.00066249946,0.0012238859,0.006002779,0.008579221,0.0019354479,0.0040614624,0.0014607309],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011001528,0.000063999054,0.00020977939,0.00078563025,0.000032583535,0.00010972063,0.0004947683,0.0022955781,0.0013504768,0.66505677,0.045817915,0.28367275],"study_design_scores_gemma":[0.000021312933,0.000088891335,0.00026776103,0.00050397683,0.000020284122,0.0001905278,0.0002690828,0.0043944605,0.000594698,0.22826147,0.76535,0.000037494618],"about_ca_topic_score_codex":0.001643861,"about_ca_topic_score_gemma":0.0012404858,"teacher_disagreement_score":0.0077409423,"about_ca_system_score_codex":0.0025548271,"about_ca_system_score_gemma":0.0016648498,"threshold_uncertainty_score":0.025896013},"labels":[],"label_agreement":null},{"id":"W2131239890","doi":"10.1007/978-3-319-20125-2_15","title":"Art Forgery Detection via Craquelure Pattern Matching","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Matching (statistics); Pattern matching; Artificial intelligence; Pattern recognition (psychology); Computer vision; Mathematics","score_opus":0.015019745686800522,"score_gpt":0.23373820763123285,"score_spread":0.2187184619444323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131239890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060417987,0.0013275234,0.9248776,0.00014444541,0.00023038987,0.00014108371,0.00018119552,0.0027614753,0.009918418],"genre_scores_gemma":[0.33160248,0.0011866692,0.6433881,0.00017051425,0.00012294314,0.00007284369,0.00066130375,0.00032731713,0.022467801],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991535,0.00006298528,0.00003881677,0.00019423568,0.0004412269,0.00010923486],"domain_scores_gemma":[0.99929154,0.00010152457,0.00007050378,0.00027041015,0.00023685627,0.000029196635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005255751,0.0009213967,0.0010500872,0.0028261542,0.000575433,0.0013073363,0.0016601353,0.001393718,0.0057080695],"category_scores_gemma":[0.0014137351,0.00051304244,0.0010083162,0.0017803438,0.00056524255,0.0014679065,0.0013837335,0.0007069107,0.004235525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038576903,0.000097191434,0.0012342819,0.0001654771,0.00006942826,0.00030463206,0.00007126726,0.0060276506,0.13264664,0.0037271997,0.0046247873,0.8506457],"study_design_scores_gemma":[0.000047243993,0.00044799346,0.0074300896,0.00007221899,0.00014682599,0.0051132357,0.00013649555,0.5937475,0.36205375,0.0053780708,0.025328897,0.00009770381],"about_ca_topic_score_codex":0.001080326,"about_ca_topic_score_gemma":0.0019533164,"teacher_disagreement_score":0.0057080695,"about_ca_system_score_codex":0.00029414357,"about_ca_system_score_gemma":0.00054178614,"threshold_uncertainty_score":0.01909542},"labels":[],"label_agreement":null},{"id":"W2136989946","doi":"10.1111/cgf.12309","title":"Recurring part arrangements in shape collections","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Similarity (geometry); Segmentation; Key (lock); Ground truth; Artificial intelligence; Shape analysis (program analysis); Image (mathematics); Pattern recognition (psychology); Data mining; Static analysis","score_opus":0.011330401149754223,"score_gpt":0.21995691251142524,"score_spread":0.208626511361671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136989946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29308414,0.0008924104,0.6937638,0.00019337416,0.000043693995,0.00029716478,0.00088813005,0.0068382155,0.003999039],"genre_scores_gemma":[0.67125064,0.0003486243,0.32237986,0.00010971043,0.000044470053,0.00012479347,0.0026654145,0.0011984556,0.0018780885],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967759,0.0004175779,0.00020606886,0.001195958,0.0010759457,0.000328554],"domain_scores_gemma":[0.9948737,0.0016537528,0.0009656536,0.0015620684,0.00070011016,0.00024473036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016638911,0.0009608434,0.0017086482,0.008444094,0.0013667237,0.0038600874,0.0021503393,0.001721654,0.0027546657],"category_scores_gemma":[0.0060590496,0.0011421128,0.0017964869,0.006598934,0.002565262,0.0029116382,0.0034372706,0.0011247552,0.0014883087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009469833,0.0002569934,0.0635026,0.0007952751,0.000714288,0.0021691066,0.0034200002,0.15390828,0.1155164,0.022188066,0.0071461396,0.62943584],"study_design_scores_gemma":[0.000036111254,0.00027388742,0.044050105,0.00014010789,0.0002873405,0.0030338424,0.0017590176,0.8286258,0.0470704,0.059133206,0.015444284,0.00014597928],"about_ca_topic_score_codex":0.004399447,"about_ca_topic_score_gemma":0.007055048,"teacher_disagreement_score":0.008444094,"about_ca_system_score_codex":0.0011594478,"about_ca_system_score_gemma":0.0009399251,"threshold_uncertainty_score":0.009215236},"labels":[],"label_agreement":null},{"id":"W2139756426","doi":"10.1109/iros.1992.594518","title":"A New Boundary-based Shape Recognition Technique","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Boundary (topology); Artificial intelligence; Pattern recognition (psychology); Computer vision; Mathematics; Mathematical analysis","score_opus":0.014245729406380516,"score_gpt":0.23653125408357226,"score_spread":0.22228552467719173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139756426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069538783,0.00031270494,0.9890598,0.00006798336,0.00012247419,0.000036355326,0.000061570674,0.0011653936,0.0022198285],"genre_scores_gemma":[0.075730674,0.00030609543,0.91964316,0.00012276316,0.00006893985,0.000059049984,0.0003171481,0.00019879772,0.0035533793],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992442,0.000072584815,0.000053312735,0.00016539323,0.00041304092,0.000051450068],"domain_scores_gemma":[0.9992151,0.00014439777,0.00008632685,0.00029483394,0.00020857864,0.00005068572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039204423,0.0004622549,0.0008037721,0.0014735963,0.00038401617,0.001170466,0.001324198,0.00080697704,0.0041208677],"category_scores_gemma":[0.0016207033,0.00039248247,0.00065214926,0.0012467817,0.0007457365,0.0028433867,0.001420704,0.0010547221,0.002953906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016360762,0.000044360757,0.00042395527,0.00023272807,0.000021502932,0.00013841146,0.00014975427,0.0061773024,0.26797318,0.023734858,0.0022476264,0.6986926],"study_design_scores_gemma":[0.000098050776,0.0005098437,0.0023390064,0.00012484966,0.00008561623,0.0042515653,0.00020232688,0.39254504,0.4476891,0.026351267,0.12557937,0.00022394092],"about_ca_topic_score_codex":0.00047139922,"about_ca_topic_score_gemma":0.00036175727,"teacher_disagreement_score":0.0041208677,"about_ca_system_score_codex":0.00034486782,"about_ca_system_score_gemma":0.000493986,"threshold_uncertainty_score":0.01378566},"labels":[],"label_agreement":null},{"id":"W2139939604","doi":"10.1109/dspws.1996.555501","title":"2D shape analysis base on perceptual hierarchy","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Hierarchy; Perception; Computer science; Partition (number theory); Representation (politics); Set (abstract data type); Boundary (topology); Artificial intelligence; Base (topology); Pattern recognition (psychology); Scheme (mathematics); Theoretical computer science; Mathematics; Programming language","score_opus":0.024080082014016266,"score_gpt":0.22957772368092166,"score_spread":0.2054976416669054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139939604","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020192664,0.00029896948,0.9743644,0.00007703431,0.000020234756,0.00004398648,0.00007880594,0.00072452705,0.004199386],"genre_scores_gemma":[0.3307338,0.0005682112,0.6653287,0.000075213495,0.000037745715,0.00009999811,0.00030249328,0.0002040592,0.0026498167],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997702,0.000027585786,0.000010813262,0.00006749278,0.00008881798,0.000035071273],"domain_scores_gemma":[0.99974555,0.00006615069,0.000026990072,0.000064974745,0.00006504183,0.000031266783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596618,0.000414698,0.00046010825,0.0012672631,0.0004486972,0.0013208878,0.0007411703,0.0003240399,0.003352067],"category_scores_gemma":[0.00077855884,0.0002972579,0.00057370384,0.00076746824,0.0010827375,0.0023494074,0.0012718241,0.00054385467,0.0009936198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002612346,0.00005356517,0.0012329215,0.00028042903,0.000056692217,0.00024750468,0.0009233733,0.057206545,0.2128543,0.19864972,0.0033599506,0.52487373],"study_design_scores_gemma":[0.000040946383,0.00015685937,0.0028416624,0.000059886635,0.000044792574,0.00029919256,0.00021813333,0.7531668,0.03126351,0.19777748,0.014058048,0.00007271371],"about_ca_topic_score_codex":0.0024124542,"about_ca_topic_score_gemma":0.0021998074,"teacher_disagreement_score":0.003352067,"about_ca_system_score_codex":0.0004929164,"about_ca_system_score_gemma":0.00041893302,"threshold_uncertainty_score":0.011213839},"labels":[],"label_agreement":null},{"id":"W2145878279","doi":"10.2118/2009-180","title":"Lithological Determination from Logs","year":2009,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Computer science","score_opus":0.017945829512950668,"score_gpt":0.2423331313937099,"score_spread":0.22438730188075923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145878279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7601159,0.00047688492,0.17909628,0.000054487602,0.00007487767,0.0004269114,0.023795791,0.007045977,0.02891282],"genre_scores_gemma":[0.9154307,0.00029657318,0.06624101,0.000019553345,0.000008538201,0.00015831769,0.009343853,0.0002623029,0.008239143],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99982136,0.000011732666,0.000013993154,0.000027500459,0.000109161505,0.000016299948],"domain_scores_gemma":[0.99936193,0.00011761554,0.00009007255,0.000058844995,0.00033890255,0.000032635497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019151164,0.0004465835,0.00018282956,0.0019020406,0.0001841445,0.00070040463,0.00029116235,0.0001718802,0.005975156],"category_scores_gemma":[0.0010321937,0.00017648394,0.00021763197,0.0012015713,0.00016152562,0.0002750784,0.00025629927,0.00017409341,0.002403572],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005409997,0.00013279039,0.3779774,0.0007123776,0.00009312646,0.000561392,0.00050900504,0.10637115,0.10470705,0.0019921588,0.004349667,0.40205282],"study_design_scores_gemma":[0.000033658576,0.00030958554,0.5312862,0.00018309391,0.00005732685,0.0003523722,0.0010128494,0.29798368,0.1354379,0.0022572458,0.030948475,0.00013765892],"about_ca_topic_score_codex":0.013457699,"about_ca_topic_score_gemma":0.02887348,"teacher_disagreement_score":0.013457699,"about_ca_system_score_codex":0.00035384874,"about_ca_system_score_gemma":0.0004944611,"threshold_uncertainty_score":0.02675873},"labels":[],"label_agreement":null},{"id":"W2146669277","doi":"10.1109/tai.2003.1250205","title":"Learning refinements on curve-strokes","year":2004,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Animation; Artificial intelligence; Focus (optics); Set (abstract data type); Robot; Property (philosophy); Key (lock); Learning curve; Curve fitting; Path (computing); Computer vision; Machine learning; Computer graphics (images)","score_opus":0.011143156790410886,"score_gpt":0.23675315661505322,"score_spread":0.22560999982464233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146669277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07201341,0.00029065795,0.9222327,0.00017768107,0.000045226625,0.000104621795,0.0001604535,0.0024903235,0.002484982],"genre_scores_gemma":[0.65095586,0.00036059823,0.3412522,0.00016284038,0.00005947148,0.00010936382,0.000811995,0.00047055306,0.005817211],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904543,0.00014797466,0.00005909592,0.00040533885,0.00025101073,0.00009115724],"domain_scores_gemma":[0.99657875,0.0014392136,0.00028315306,0.00087747944,0.00063993933,0.00018146282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014241203,0.00079677964,0.0012096836,0.0014105735,0.0005523473,0.0011048528,0.0017111461,0.0013666456,0.004167847],"category_scores_gemma":[0.009030054,0.0008250165,0.0011863862,0.0010926743,0.0010380183,0.0027753343,0.0015934585,0.0013981715,0.0011014867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033172668,0.00008917163,0.004460115,0.00017389914,0.00007924897,0.00017499867,0.00038091,0.33966804,0.017749012,0.016066667,0.0034637959,0.61736244],"study_design_scores_gemma":[0.000014193475,0.000049808987,0.00040111676,0.000013979051,0.000010447353,0.00004046805,0.00003152295,0.9843323,0.0039587617,0.009793858,0.0013451044,0.000008382636],"about_ca_topic_score_codex":0.0062612067,"about_ca_topic_score_gemma":0.008971356,"teacher_disagreement_score":0.0062612067,"about_ca_system_score_codex":0.0009308113,"about_ca_system_score_gemma":0.0006826512,"threshold_uncertainty_score":0.013942838},"labels":[],"label_agreement":null},{"id":"W2149684740","doi":"10.1016/j.csda.2005.09.010","title":"Automatic dimensionality selection from the scree plot via the use of profile likelihood","year":2005,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":390,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimensionality reduction; Plot (graphics); Heuristic; Computer science; Simple (philosophy); Dimension (graph theory); Curse of dimensionality; Artificial intelligence; Selection (genetic algorithm); Likelihood function; Mathematics; Algorithm; Statistics; Estimation theory","score_opus":0.04932169699503142,"score_gpt":0.28506370484169663,"score_spread":0.2357420078466652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149684740","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008286545,0.000094936055,0.98784477,0.00013095966,0.000027351205,0.00006765203,0.00019480448,0.002965459,0.0003874996],"genre_scores_gemma":[0.09413823,0.00017282099,0.9013134,0.000099264325,0.000041590083,0.0003248305,0.0013220535,0.0019563034,0.0006315248],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942321,0.0032556427,0.00037738317,0.00091514527,0.0009611576,0.00025843858],"domain_scores_gemma":[0.9792366,0.0139735015,0.0009521447,0.0028183486,0.0025378226,0.0004815403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007991192,0.0023654723,0.0031315978,0.004554691,0.0016011503,0.0046583414,0.0018506179,0.00132737,0.0064789504],"category_scores_gemma":[0.054811064,0.0011543592,0.0022335919,0.0026971188,0.0010013689,0.003907714,0.0038550543,0.0035876571,0.0051059793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010443836,0.0004697793,0.012216769,0.0008130175,0.00047477195,0.0005546275,0.0012617613,0.035041682,0.04397263,0.03493342,0.02024108,0.8489761],"study_design_scores_gemma":[0.00020303518,0.00018721288,0.0070331455,0.00011518934,0.00013732348,0.00071958883,0.00035383902,0.86970973,0.024096003,0.08882599,0.008333076,0.00028586193],"about_ca_topic_score_codex":0.0009248428,"about_ca_topic_score_gemma":0.0013433702,"teacher_disagreement_score":0.007991192,"about_ca_system_score_codex":0.000428256,"about_ca_system_score_gemma":0.0021915794,"threshold_uncertainty_score":0.042261958},"labels":[],"label_agreement":null},{"id":"W2149724635","doi":"10.1109/icpr.1994.576286","title":"Vision knowledge vectorization: converting raster images into vector form","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Vectorization (mathematics); Raster graphics; Computer science; Process (computing); Space (punctuation); Line (geometry); Artificial intelligence; Domain (mathematical analysis); Computer vision; Vector space; Computer graphics (images); Mathematics; Geometry; Programming language","score_opus":0.011252985766787519,"score_gpt":0.24329983156879076,"score_spread":0.23204684580200324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149724635","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004958625,0.0001675784,0.9894107,0.00009757465,0.00004197258,0.00008812764,0.00023573027,0.0025580898,0.0024415113],"genre_scores_gemma":[0.119907446,0.0011757249,0.87065667,0.00010243492,0.00004341398,0.00016629016,0.0011965176,0.0004033282,0.006348224],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969137,0.000035370762,0.000025091675,0.000084600135,0.00012610771,0.00003749865],"domain_scores_gemma":[0.9996588,0.000080167636,0.000029180752,0.0000785335,0.00014113063,0.000012145985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003644309,0.0006756326,0.0005067755,0.002004283,0.0002684611,0.00205994,0.0007251187,0.0004965651,0.009827809],"category_scores_gemma":[0.0012004675,0.00036716124,0.00057597156,0.0019551802,0.0005276582,0.0020151907,0.000862029,0.0006541814,0.0031349668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007869678,0.000042397933,0.0002718258,0.00023443355,0.00003537625,0.00006844067,0.00013634449,0.013980309,0.028024115,0.013825685,0.005757061,0.93754524],"study_design_scores_gemma":[0.00009096524,0.00036572007,0.004954877,0.0001904141,0.00016308663,0.0011042568,0.0011255307,0.5809774,0.20953794,0.09502882,0.10629363,0.00016734052],"about_ca_topic_score_codex":0.0032999683,"about_ca_topic_score_gemma":0.0024201572,"teacher_disagreement_score":0.009827809,"about_ca_system_score_codex":0.00036072778,"about_ca_system_score_gemma":0.00072040025,"threshold_uncertainty_score":0.032877326},"labels":[],"label_agreement":null},{"id":"W2154962044","doi":"10.1109/tsmcb.2010.2042955","title":"Face Transformation With Harmonic Models by the Finite-Volume Method With Delaunay Triangulation","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Delaunay triangulation; Transformation (genetics); Triangulation; Harmonic; Constrained Delaunay triangulation; Face (sociological concept); Finite volume method; Pitteway triangulation; Computer science; Mathematics; Applied mathematics; Algorithm; Geometry; Physics; Sociology; Acoustics; Mechanics; Social science","score_opus":0.014022752041561984,"score_gpt":0.22598124739165504,"score_spread":0.21195849535009306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154962044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011151074,0.000038687842,0.9978531,0.000016996557,0.000013836089,0.000019075365,0.000013515628,0.00013420613,0.00079536653],"genre_scores_gemma":[0.0659514,0.0001786571,0.93096,0.00003687645,0.00003069681,0.00016902352,0.0001599207,0.0002220476,0.0022913166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993674,0.000109020526,0.000022900113,0.00010582465,0.00035896353,0.00003588963],"domain_scores_gemma":[0.9996772,0.00014155041,0.000025956208,0.000060728667,0.00008115202,0.0000134528345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005322803,0.0005822051,0.00075648836,0.0010242211,0.00047442105,0.0007809909,0.0015604285,0.00076694036,0.0034739594],"category_scores_gemma":[0.0014266119,0.0005078321,0.0011827056,0.0007416366,0.00061063626,0.001060612,0.0013504667,0.0011152884,0.0013112937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004419526,0.00003822739,0.0006151625,0.00021771852,0.000046627443,0.00009966683,0.00036901725,0.6150318,0.014575543,0.061769158,0.0031710123,0.3040219],"study_design_scores_gemma":[0.0000053872877,0.000015217043,0.00006821562,0.000008952038,0.0000052406103,0.000054267017,0.000027542996,0.98317105,0.0021130037,0.008344341,0.0061746803,0.000012105733],"about_ca_topic_score_codex":0.004364543,"about_ca_topic_score_gemma":0.00298922,"teacher_disagreement_score":0.004364543,"about_ca_system_score_codex":0.00064344576,"about_ca_system_score_gemma":0.00086344784,"threshold_uncertainty_score":0.011621594},"labels":[],"label_agreement":null},{"id":"W2156161431","doi":"10.16995/dscn.248","title":"Statistical Analysis of Digital Paleographic Data: What Can It Tell Us?","year":2005,"lang":"en","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science","score_opus":0.033074024694159654,"score_gpt":0.2851820833666904,"score_spread":0.2521080586725307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156161431","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013569738,0.25856864,0.051384766,0.6522624,0.01532294,0.000079342346,0.0011935122,0.00035977483,0.0072588134],"genre_scores_gemma":[0.29823136,0.38182798,0.08989247,0.16294439,0.054445136,0.0006449734,0.001488701,0.00074465823,0.009780347],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9815616,0.011331433,0.0023115538,0.00089213834,0.003613655,0.00028959016],"domain_scores_gemma":[0.5874929,0.3163487,0.014871288,0.025338937,0.050579052,0.0053691105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06601702,0.0006295303,0.0031148202,0.0037223839,0.0014194618,0.0047410848,0.003316575,0.004082684,0.0045696762],"category_scores_gemma":[0.32785973,0.00079360814,0.002361463,0.00560542,0.010047791,0.008097456,0.0024330518,0.0059786835,0.0016290288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006566443,0.00027025503,0.039286613,0.011027761,0.0015961935,0.00048670455,0.0015599338,0.0017750966,0.0004680188,0.049197733,0.16321869,0.73045635],"study_design_scores_gemma":[0.00021828903,0.00064994907,0.055116665,0.032537263,0.0015328575,0.0019367011,0.0091394,0.010495115,0.0019985095,0.50509185,0.38072628,0.000557108],"about_ca_topic_score_codex":0.008512574,"about_ca_topic_score_gemma":0.017340537,"teacher_disagreement_score":0.06601702,"about_ca_system_score_codex":0.002825665,"about_ca_system_score_gemma":0.007156379,"threshold_uncertainty_score":0.34913552},"labels":[],"label_agreement":null},{"id":"W2156336268","doi":"10.1109/bibm.2008.20","title":"Images Based System for Surface Matching in Macromolecular Screening","year":2008,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Centre National de la Recherche Scientifique; Università degli Studi di Milano","keywords":"Matching (statistics); Representation (politics); Computer science; Context (archaeology); Surface (topology); In silico; Pattern matching; Artificial intelligence; Theoretical computer science; Biological system; Mathematics; Biology; Geometry","score_opus":0.014989207940731811,"score_gpt":0.2285298656982485,"score_spread":0.2135406577575167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156336268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011112482,0.00024629978,0.97672415,0.00012869194,0.00008290399,0.00021120811,0.00012356382,0.008749851,0.0026208467],"genre_scores_gemma":[0.17247409,0.0002795597,0.81997824,0.00025088622,0.000064473235,0.00048323677,0.0004436261,0.00042898557,0.005596879],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992879,0.0001444846,0.000046702753,0.000140105,0.0002926236,0.00008822434],"domain_scores_gemma":[0.9994265,0.00020350571,0.00003406573,0.000120364035,0.00017496622,0.000040625906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009004248,0.00070816284,0.001228222,0.0016666648,0.0006108231,0.0017274908,0.0022282072,0.0020327508,0.009096064],"category_scores_gemma":[0.0022148495,0.00042485484,0.0006368631,0.0011264912,0.0006607046,0.0012812183,0.0014230737,0.000805616,0.0035964926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097264023,0.0003185491,0.001236772,0.00038557404,0.00011081263,0.00049927185,0.00024467323,0.040270127,0.21717575,0.03298014,0.0106620835,0.6951436],"study_design_scores_gemma":[0.00009113188,0.00027862695,0.000874853,0.00004068295,0.00007254312,0.00050590426,0.00006174435,0.77065647,0.18951344,0.014894296,0.02293228,0.00007797465],"about_ca_topic_score_codex":0.0010509974,"about_ca_topic_score_gemma":0.0007090086,"teacher_disagreement_score":0.009096064,"about_ca_system_score_codex":0.00081694004,"about_ca_system_score_gemma":0.00059319346,"threshold_uncertainty_score":0.030429363},"labels":[],"label_agreement":null},{"id":"W2160423508","doi":"10.1109/icsmc.1995.538462","title":"Extracting structure-tokens of cephalograms","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Process (computing); Representation (politics); Artificial intelligence; Perception; Edge detection; Computer vision; Pattern recognition (psychology); Image (mathematics); Image processing","score_opus":0.015649494694751725,"score_gpt":0.20645779546098547,"score_spread":0.19080830076623376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160423508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007870047,0.00018218589,0.9886072,0.000089391084,0.000037565143,0.00014412461,0.00026401045,0.0021832723,0.0006221823],"genre_scores_gemma":[0.026362566,0.0002119036,0.97161376,0.00002333178,0.000022963879,0.000087419074,0.0005598461,0.00016045895,0.00095774315],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994449,0.00006562187,0.00008370024,0.0001457599,0.00018796147,0.000071994575],"domain_scores_gemma":[0.99931693,0.0001897647,0.000118040385,0.00019250983,0.00013163485,0.000051168183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069819344,0.00085268484,0.0008557518,0.003987937,0.00078259077,0.002325926,0.0012979407,0.001252211,0.0039739795],"category_scores_gemma":[0.002601309,0.00068313145,0.0010449666,0.0023515834,0.0010188508,0.0023056967,0.0016048019,0.0010395958,0.003940766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035647166,0.000051912713,0.001464532,0.00032096266,0.00006389838,0.0004868827,0.00027051257,0.011249098,0.0973321,0.023878412,0.004519264,0.8600059],"study_design_scores_gemma":[0.00019136228,0.00048176307,0.007931031,0.00022551148,0.00021611949,0.005432863,0.00059262704,0.603188,0.22543554,0.06742428,0.08855851,0.00032238307],"about_ca_topic_score_codex":0.0019288512,"about_ca_topic_score_gemma":0.0024475092,"teacher_disagreement_score":0.003987937,"about_ca_system_score_codex":0.00063328986,"about_ca_system_score_gemma":0.0012569543,"threshold_uncertainty_score":0.013294339},"labels":[],"label_agreement":null},{"id":"W2162377461","doi":"10.1109/have.2003.1244721","title":"Neural network architecture for 3D object representation","year":2004,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Morphing; Object (grammar); Representation (politics); Artificial intelligence; Artificial neural network; Set (abstract data type); Feedforward neural network; Computer vision; Architecture; Cognitive neuroscience of visual object recognition; Object model; Transformation (genetics)","score_opus":0.013996674467742823,"score_gpt":0.26066977971747557,"score_spread":0.24667310524973274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162377461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042130337,0.0008405052,0.9903814,0.00019031364,0.000063434345,0.000016475859,0.00008794095,0.00092766376,0.003279137],"genre_scores_gemma":[0.36410767,0.0031567086,0.61742204,0.00030984843,0.000117949865,0.000260928,0.00077985943,0.00012884547,0.013716108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986064,0.000027064685,0.000008626617,0.000029150646,0.00006116304,0.000013347043],"domain_scores_gemma":[0.99989843,0.00002983572,0.000008576134,0.000016811442,0.00004109934,0.0000051952034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030044417,0.00036713548,0.00033258303,0.00036828162,0.00021169794,0.000649645,0.0008388641,0.0009829379,0.003229335],"category_scores_gemma":[0.00070378196,0.00022850538,0.00040464,0.00074554357,0.00033539505,0.0008359891,0.0005303905,0.0006764586,0.0012724047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008235308,0.000026140211,0.00040480247,0.00014793572,0.00005787547,0.00010346327,0.00005257644,0.64782363,0.017949626,0.040946364,0.0041032615,0.288302],"study_design_scores_gemma":[0.0000038834414,0.000016535307,0.00013666762,0.000012162549,0.000009531937,0.000031995616,0.000003878001,0.98429847,0.0019844556,0.009537235,0.003957591,0.0000075479093],"about_ca_topic_score_codex":0.005225884,"about_ca_topic_score_gemma":0.005106166,"teacher_disagreement_score":0.005225884,"about_ca_system_score_codex":0.00063107384,"about_ca_system_score_gemma":0.00046079626,"threshold_uncertainty_score":0.010803223},"labels":[],"label_agreement":null},{"id":"W2164629576","doi":"10.1109/ijcnn.2006.246749","title":"Synthetic Biometrics: A Survey","year":2006,"lang":"en","type":"article","venue":"The 2006 IEEE International Joint Conference on Neural Network Proceedings","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biometrics; Computer science; Replicate; Variety (cybernetics); Biometric data; Artificial intelligence; Data mining; Machine learning; Mathematics","score_opus":0.050110178718847175,"score_gpt":0.2626810110835333,"score_spread":0.21257083236468613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164629576","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0089547755,0.72561544,0.2096222,0.0021572635,0.0015245259,0.00017645126,0.000536286,0.0007127539,0.050700337],"genre_scores_gemma":[0.121180326,0.7093244,0.14062557,0.0014549899,0.0027916206,0.00037054982,0.0018160304,0.00038281435,0.022053752],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997592,0.00052639405,0.00020971622,0.0003856604,0.0011956367,0.00009067242],"domain_scores_gemma":[0.99699533,0.0016401131,0.00020603207,0.00044521264,0.0006110173,0.00010224599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020934588,0.0011437977,0.001479766,0.004656438,0.00064121955,0.0026798039,0.0016862152,0.0019161571,0.0075461087],"category_scores_gemma":[0.005256397,0.0006884614,0.00097520364,0.004409703,0.0011958048,0.0040102666,0.0015923505,0.0012793002,0.0042988183],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011587413,0.00009741198,0.0017051077,0.0028618455,0.00007918314,0.00020497922,0.00016002668,0.0073951813,0.003939375,0.040628724,0.014078507,0.9287338],"study_design_scores_gemma":[0.000024963205,0.00045964282,0.0033179703,0.0019743782,0.0000861829,0.007596663,0.00043750743,0.04613805,0.009343516,0.062240373,0.86818784,0.00019293133],"about_ca_topic_score_codex":0.0008589743,"about_ca_topic_score_gemma":0.00048458984,"teacher_disagreement_score":0.0075461087,"about_ca_system_score_codex":0.00082260114,"about_ca_system_score_gemma":0.0007913547,"threshold_uncertainty_score":0.025244236},"labels":[],"label_agreement":null},{"id":"W2165729538","doi":"10.1109/icip.1994.413251","title":"Perceptual tracking of edge features","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Perception; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Computer science; Process (computing); Computer vision; Tracking (education); Visual perception; Pattern recognition (psychology); Psychology; Neuroscience","score_opus":0.022702577319623118,"score_gpt":0.22597483617926417,"score_spread":0.20327225885964106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165729538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061547207,0.0002817693,0.98873365,0.00008674118,0.00008445302,0.00005590421,0.00006084988,0.00053183374,0.0040101456],"genre_scores_gemma":[0.129283,0.0015593759,0.85666776,0.00029304347,0.00014225255,0.00012555624,0.00035709958,0.0002901977,0.011281699],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970895,0.00002667351,0.000018054843,0.00010069809,0.000116974916,0.000028607137],"domain_scores_gemma":[0.9994318,0.00015374277,0.000052981297,0.00013750614,0.00018113616,0.000042805998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050519744,0.0006581666,0.00058807887,0.001478965,0.00049144117,0.0015095882,0.0010548437,0.0013964628,0.0039696014],"category_scores_gemma":[0.0016545999,0.00058948965,0.0007945297,0.0012253147,0.00062775257,0.0021048386,0.0009867032,0.00083594414,0.0034630403],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038283985,0.0001418348,0.00094277895,0.0003859818,0.000114242444,0.00028104134,0.0003062358,0.01198478,0.20159453,0.031868473,0.0046423,0.747355],"study_design_scores_gemma":[0.00014805059,0.0012419398,0.009851171,0.00013964897,0.0003765452,0.0026312799,0.00023390102,0.4977055,0.34374312,0.06940265,0.07423102,0.0002951332],"about_ca_topic_score_codex":0.0014676173,"about_ca_topic_score_gemma":0.0022824968,"teacher_disagreement_score":0.0039696014,"about_ca_system_score_codex":0.0003810317,"about_ca_system_score_gemma":0.00038139932,"threshold_uncertainty_score":0.013279676},"labels":[],"label_agreement":null},{"id":"W2166727092","doi":"10.1109/crv.2013.54","title":"Robust Solvers for Square Jigsaw Puzzles","year":2013,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Jigsaw; Robustness (evolution); Computer science; Solver; Pairwise comparison; Artificial intelligence; Algorithm; Theoretical computer science; Mathematics; Programming language","score_opus":0.025054343635314457,"score_gpt":0.21422411663619545,"score_spread":0.189169773000881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166727092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018687539,0.000121235586,0.977461,0.00011221498,0.000026031474,0.00005626483,0.00006200688,0.001122361,0.0023514978],"genre_scores_gemma":[0.14730512,0.00008519755,0.8496365,0.00006705318,0.000026648344,0.00011012457,0.00021956538,0.00049171585,0.0020581034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988613,0.00022442825,0.00009630922,0.00024436685,0.00050437165,0.00006914291],"domain_scores_gemma":[0.99747145,0.001498809,0.00027789784,0.00035187212,0.0003123503,0.00008767097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012426103,0.0012530461,0.0010751309,0.0007971666,0.0005728539,0.0011300881,0.0015831725,0.0015890608,0.0046586157],"category_scores_gemma":[0.0086427685,0.0007054806,0.0009261907,0.00078075426,0.0010878427,0.0018067567,0.0026044769,0.0013673368,0.00087142875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022983858,0.00008782372,0.0012707796,0.0003415169,0.00011344312,0.0003254162,0.000312355,0.7009,0.020699598,0.0641926,0.0048022815,0.20672439],"study_design_scores_gemma":[0.000030855364,0.00003070709,0.00009076614,0.000008387666,0.000007379358,0.00007700879,0.000036082383,0.979278,0.004462352,0.014025047,0.0019438183,0.0000095506275],"about_ca_topic_score_codex":0.001328943,"about_ca_topic_score_gemma":0.0016382773,"teacher_disagreement_score":0.0046586157,"about_ca_system_score_codex":0.00049891905,"about_ca_system_score_gemma":0.00081517716,"threshold_uncertainty_score":0.015584588},"labels":[],"label_agreement":null},{"id":"W2169476448","doi":"10.1109/icpr.1990.119319","title":"Harmonic models of shape transformations in digital images and patterns","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laplace transform; Discontinuity (linguistics); Harmonic; Partial differential equation; Computer science; Artificial intelligence; Process (computing); Transformation (genetics); Laplace's equation; Image (mathematics); Algorithm; Harmonic analysis; Computer vision; Pattern recognition (psychology); Mathematics; Mathematical analysis; Physics; Acoustics","score_opus":0.018848052885446904,"score_gpt":0.20905639231504597,"score_spread":0.19020833942959905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169476448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0084939,0.0010483261,0.9617621,0.00042384976,0.00019143123,0.000046990775,0.00014302139,0.00030782074,0.02758264],"genre_scores_gemma":[0.5553132,0.005500026,0.3078693,0.0005920194,0.0006807541,0.00028223082,0.0007021064,0.0005682817,0.12849203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967504,0.00004465138,0.000013551313,0.00006830863,0.00016286042,0.000035512716],"domain_scores_gemma":[0.999718,0.00008307727,0.000039456227,0.000072471994,0.00006268383,0.000024336667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031802227,0.0005430489,0.00040332734,0.00089402427,0.00045782822,0.0015790375,0.0009821679,0.00085923297,0.0061960635],"category_scores_gemma":[0.001231553,0.0003285943,0.00072545634,0.0007298336,0.001305018,0.0021291655,0.00086892187,0.00091049366,0.0018764071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020389307,0.00001728068,0.00017663852,0.00006836956,0.000012744526,0.00012253925,0.0001902499,0.060017623,0.0063107647,0.89035964,0.0039486615,0.038754966],"study_design_scores_gemma":[0.000010060595,0.000044700773,0.00029418673,0.000022934162,0.000012131621,0.00036966064,0.00006964163,0.520447,0.0034281265,0.4460135,0.029256232,0.000031771862],"about_ca_topic_score_codex":0.0012460224,"about_ca_topic_score_gemma":0.00093838957,"teacher_disagreement_score":0.0061960635,"about_ca_system_score_codex":0.00070411206,"about_ca_system_score_gemma":0.0003440216,"threshold_uncertainty_score":0.020727873},"labels":[],"label_agreement":null},{"id":"W2177221723","doi":"10.1017/s0033822200045240","title":"Personal Recollections of a Good Experiment","year":2010,"lang":"en","type":"article","venue":"Radiocarbon","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Radiocarbon dating; History; Archaeology","score_opus":0.006015196138224748,"score_gpt":0.2225687391337914,"score_spread":0.21655354299556667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177221723","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011212555,0.027860884,0.03311916,0.4768616,0.11207602,0.0003366542,0.0029555643,0.002715408,0.3328621],"genre_scores_gemma":[0.13240287,0.012258656,0.01721829,0.24763337,0.032800198,0.00113823,0.0015229712,0.0065810336,0.5484444],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9844785,0.00814778,0.0004671324,0.00179022,0.004466206,0.00065023673],"domain_scores_gemma":[0.96223867,0.019698443,0.0015948724,0.0071281036,0.0071180398,0.0022218677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018094756,0.0014976735,0.00085526437,0.0012619747,0.006671585,0.006701441,0.0020283049,0.004198628,0.036739204],"category_scores_gemma":[0.057649467,0.00065458403,0.0007376296,0.0011853008,0.01216785,0.007631268,0.0052002333,0.014271464,0.01659507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018115345,0.000047136975,0.00019050519,0.0002986667,0.00002738743,0.00018851589,0.015742142,0.00008464152,0.0014031595,0.05958144,0.9018848,0.020370372],"study_design_scores_gemma":[0.0000056282292,0.000036083293,0.0001560011,0.00010249689,0.0000056709655,0.0001820614,0.002168343,0.000032647386,0.0004718217,0.0059037334,0.99090683,0.000028647619],"about_ca_topic_score_codex":0.0010456528,"about_ca_topic_score_gemma":0.0019875653,"teacher_disagreement_score":0.036739204,"about_ca_system_score_codex":0.0022245042,"about_ca_system_score_gemma":0.0015239756,"threshold_uncertainty_score":0.1229049},"labels":[],"label_agreement":null},{"id":"W2187273170","doi":"10.21553/rev-jec.49","title":"A Comparative Survey on 3D Models Retrieval Methods","year":2013,"lang":"en","type":"article","venue":"REV Journal on Electronics and Communications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Object (grammar); Similarity (geometry); Matching (statistics); Variation (astronomy); Artificial intelligence; Computer vision; Pattern recognition (psychology); Shape analysis (program analysis); Image (mathematics); Mathematics; Statistics","score_opus":0.08432365226250382,"score_gpt":0.36995362849820473,"score_spread":0.2856299762357009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187273170","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00972941,0.56006515,0.41197267,0.0009431497,0.0011019231,0.00023661321,0.0007390839,0.0017921082,0.013419982],"genre_scores_gemma":[0.08284844,0.5659538,0.32988805,0.0011864856,0.0021495966,0.00037379295,0.0044246013,0.000793175,0.012382077],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953981,0.00062340416,0.0005772732,0.0009077171,0.0023038774,0.00018958743],"domain_scores_gemma":[0.9956857,0.002031509,0.00022837202,0.00053274445,0.0014359184,0.00008578419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030452628,0.0017750511,0.0027266263,0.013176376,0.00083051383,0.0037023232,0.003162285,0.0030060788,0.0063356785],"category_scores_gemma":[0.007539484,0.0009926178,0.0025660465,0.01729999,0.00089569966,0.0051309145,0.0014341829,0.0010577424,0.0051667774],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011421873,0.00007674692,0.00065004855,0.002847069,0.00012613597,0.00006621047,0.000114338174,0.002478032,0.0027960374,0.0038269106,0.008147143,0.9787572],"study_design_scores_gemma":[0.00011483659,0.0013387791,0.016311092,0.0043809554,0.0009806382,0.0069428924,0.001678925,0.14787765,0.03266373,0.028706012,0.75833637,0.0006681481],"about_ca_topic_score_codex":0.004249045,"about_ca_topic_score_gemma":0.0023633128,"teacher_disagreement_score":0.013176376,"about_ca_system_score_codex":0.0010925959,"about_ca_system_score_gemma":0.0013251089,"threshold_uncertainty_score":0.021194935},"labels":[],"label_agreement":null},{"id":"W2191015454","doi":"","title":"BoneSplit - A 3D Texture Painting Tool for Interactive Bone Separation in CT Images","year":2015,"lang":"en","type":"article","venue":"Digital Library (University of West Bohemia)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Natural Sciences and Engineering Research Council of Canada; Generalitat de Catalunya; Ministerio de Economía y Competitividad; Fundamental Research Funds for the Central Universities; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Alberta Innovates - Technology Futures","keywords":"Computer science; Painting; Texture (cosmology); Computer vision; Computer graphics (images); Artificial intelligence; Image texture; Image segmentation; Image (mathematics); Art; Visual arts","score_opus":0.00948074620593367,"score_gpt":0.20569064434645537,"score_spread":0.1962098981405217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191015454","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006972161,0.00023035136,0.9602595,0.00012179482,0.000057546447,0.00013506462,0.00042556645,0.027944975,0.003852999],"genre_scores_gemma":[0.08818377,0.0005142545,0.891402,0.0002602447,0.00007971811,0.0004361118,0.0013722815,0.010006208,0.0077454057],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936455,0.000060300285,0.000026644058,0.00007810196,0.00040426422,0.00006618125],"domain_scores_gemma":[0.9994641,0.00028958698,0.000041023864,0.000094375355,0.000051969026,0.00005902165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055968104,0.0013631807,0.00063890516,0.0015995061,0.000577644,0.0015697358,0.0021836201,0.0011318172,0.026174828],"category_scores_gemma":[0.0019179444,0.0009796834,0.0011947704,0.00059474545,0.00069646223,0.0010474344,0.002392555,0.0012820496,0.0034325272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056806195,0.00017327142,0.0010537795,0.0006171531,0.00014373132,0.0013573363,0.00076707423,0.042439714,0.20169811,0.011904069,0.042971678,0.69630593],"study_design_scores_gemma":[0.000359997,0.00026511477,0.0028527267,0.00019737105,0.00007412292,0.0042390414,0.00016261471,0.5114212,0.27519414,0.0138203595,0.19108012,0.0003331488],"about_ca_topic_score_codex":0.0013322034,"about_ca_topic_score_gemma":0.0026130949,"teacher_disagreement_score":0.026174828,"about_ca_system_score_codex":0.00037480134,"about_ca_system_score_gemma":0.000661369,"threshold_uncertainty_score":0.087563455},"labels":[],"label_agreement":null},{"id":"W2235127922","doi":"10.6084/m9.figshare.1186820.v1","title":"[Woodlot Dataset 4] Comparing the DBH of adult maples to nearby maple saplings","year":2014,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maple; Forestry; Geography; Biology; Botany","score_opus":0.028852326165104285,"score_gpt":0.2508548333208347,"score_spread":0.22200250715573042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235127922","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015416055,0.00016930432,0.00020003562,0.000051602656,0.000051112926,0.000015270163,0.9960192,0.0012674571,0.0006843247],"genre_scores_gemma":[0.0026782847,0.00007052946,0.0007359242,0.000038368078,0.000016509712,0.00006341701,0.9957848,0.00011446119,0.0004975752],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99938273,0.00009208306,0.000067560366,0.00024704402,0.00011489764,0.00009571326],"domain_scores_gemma":[0.9992287,0.00018083514,0.000081802595,0.00018869645,0.00024964698,0.00007029861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061374647,0.002180629,0.0013306348,0.002784527,0.00057349965,0.001464416,0.0017094397,0.001234842,0.038184244],"category_scores_gemma":[0.0035680484,0.00035305638,0.0016343389,0.0030755815,0.00016334302,0.00083939993,0.0009983615,0.00076731725,0.04750251],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002877064,0.00008802972,0.009625577,0.0012699785,0.00019485597,0.00009234202,0.00007340939,0.0010647514,0.00056149403,0.00023812582,0.97307056,0.013433098],"study_design_scores_gemma":[0.0006791291,0.00019155166,0.114729986,0.0006604926,0.00022843064,0.00034414453,0.0005009373,0.005674336,0.0012098913,0.0019903802,0.8736119,0.00017880394],"about_ca_topic_score_codex":0.02729674,"about_ca_topic_score_gemma":0.058916084,"teacher_disagreement_score":0.038184244,"about_ca_system_score_codex":0.0005388401,"about_ca_system_score_gemma":0.00063282263,"threshold_uncertainty_score":0.12773907},"labels":[],"label_agreement":null},{"id":"W2257551185","doi":"10.6084/m9.figshare.826213.v1","title":"Data from \"Millennial stocks and fluxes of large woody debris in lakes of the North American taiga\"","year":2013,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taiga; Debris; Coarse woody debris; Physical geography; Geography; Environmental science; Oceanography; Geology; Forestry; Ecology; Habitat","score_opus":0.023758378755526093,"score_gpt":0.24616401919491068,"score_spread":0.2224056404393846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257551185","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028197423,0.00003794148,0.000036042413,0.000031848474,0.000007914908,0.000010721336,0.99642426,0.00009136763,0.0005402406],"genre_scores_gemma":[0.0073815775,0.00008077696,0.00030919944,0.00003289194,0.00000765787,0.00009820169,0.99086565,0.000032218366,0.0011918359],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996847,0.000016302443,0.000036621816,0.00007248209,0.00011326483,0.00007675834],"domain_scores_gemma":[0.9980039,0.00015068443,0.00029054825,0.00012360742,0.0012219904,0.00020932755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034505382,0.0006791102,0.00060472067,0.002623288,0.0007263304,0.00097251515,0.0009315206,0.00039126462,0.02484048],"category_scores_gemma":[0.00188699,0.00034767843,0.00062837277,0.007538863,0.000150959,0.0005065748,0.00085102255,0.00048357446,0.007471212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016214627,0.00005047158,0.07694641,0.0012909626,0.00019639861,0.000094151255,0.000495736,0.0009158735,0.0006835577,0.0004562074,0.9050805,0.013627535],"study_design_scores_gemma":[0.0002012051,0.00001902957,0.5038603,0.0005392442,0.00010479009,0.00005821499,0.0007738288,0.001328425,0.0006307771,0.00026645255,0.49214938,0.00006830575],"about_ca_topic_score_codex":0.81692547,"about_ca_topic_score_gemma":0.8940672,"teacher_disagreement_score":0.81692547,"about_ca_system_score_codex":0.0040550698,"about_ca_system_score_gemma":0.0053903447,"threshold_uncertainty_score":0.3683054},"labels":[],"label_agreement":null},{"id":"W2263200963","doi":"10.4000/acost.431","title":"An Analysis of Greek Terracotta Figurines at the Museum of Anthropology, University of British Columbia","year":2014,"lang":"fr","type":"article","venue":"Les Carnets de l ACoSt","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Royal British Columbia Museum","funders":"","keywords":"Terracotta; Archaeology; Provenance; Anthropology; Conjunction (astronomy); History; Art; Visual arts; Sociology; Geology","score_opus":0.010700595014277885,"score_gpt":0.22582479968689836,"score_spread":0.21512420467262047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263200963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97001654,0.0011351319,0.00076207955,0.0002522561,0.000041330284,0.00013507539,0.0019373279,0.000030187517,0.02569012],"genre_scores_gemma":[0.97626173,0.00092533295,0.0043338393,0.0001059823,0.000019182342,0.0000669707,0.0018794574,0.000092656875,0.016314859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992853,0.00010471518,0.0000300506,0.00011530332,0.00033633944,0.00012840316],"domain_scores_gemma":[0.9979638,0.00032277574,0.00021916551,0.00016187661,0.0011956238,0.00013686412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062720093,0.0002725979,0.00025095316,0.0067036347,0.0035092116,0.0014407254,0.00061466993,0.00041659496,0.0055993055],"category_scores_gemma":[0.0026021048,0.00026383784,0.00014757129,0.007216166,0.002385004,0.0003156445,0.0013871534,0.00045308095,0.00096451043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046380344,0.00007380065,0.35956118,0.0010081319,0.00009414469,0.00962523,0.316093,0.0004693422,0.04407819,0.0038854438,0.024263503,0.24038427],"study_design_scores_gemma":[0.0000022636466,0.000025173225,0.88876957,0.00019859297,0.000016849906,0.0015779601,0.06037203,0.00011965278,0.0013972328,0.000119148,0.047373876,0.000027737411],"about_ca_topic_score_codex":0.49207413,"about_ca_topic_score_gemma":0.87968165,"teacher_disagreement_score":0.49207413,"about_ca_system_score_codex":0.0034276717,"about_ca_system_score_gemma":0.0028340977,"threshold_uncertainty_score":0.9784199},"labels":[],"label_agreement":null},{"id":"W2264432553","doi":"10.6084/m9.figshare.1187062.v1","title":"Field training lab- woodlot dataset 3","year":2014,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Field (mathematics); Field training; Computer science; Artificial intelligence; Environmental science; Forestry; Geography; Mathematics; Engineering; Operations management; Meteorology","score_opus":0.04528679530025714,"score_gpt":0.2607056294917456,"score_spread":0.21541883419148844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264432553","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009810289,0.00016282141,0.001139847,0.00024469048,0.00015461972,0.0001688502,0.9792956,0.004091121,0.0049322033],"genre_scores_gemma":[0.008271376,0.000058976188,0.003321558,0.00012950155,0.000022206272,0.0003285211,0.98487574,0.00014916145,0.0028429995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933356,0.00015001527,0.00005623336,0.0002116285,0.00013332574,0.00011517361],"domain_scores_gemma":[0.9987696,0.00027151487,0.00007269563,0.00034122568,0.00041354945,0.00013145038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078547874,0.001279583,0.00089216325,0.0013107636,0.0006115926,0.00083119463,0.001890125,0.0011337294,0.03851564],"category_scores_gemma":[0.002871497,0.00031081343,0.0008698489,0.0016148592,0.00026358516,0.0009025902,0.0008781705,0.00091415807,0.042694602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029198456,0.00036957258,0.00882573,0.0005450523,0.00005216744,0.000110907524,0.0001097606,0.0014667477,0.0006039028,0.00043053538,0.96171963,0.025474105],"study_design_scores_gemma":[0.00052335346,0.00031524815,0.053561665,0.00037510548,0.000059112837,0.00022560019,0.00097367965,0.012908266,0.0020244273,0.0020984758,0.92682534,0.00010960819],"about_ca_topic_score_codex":0.0183501,"about_ca_topic_score_gemma":0.065459155,"teacher_disagreement_score":0.03851564,"about_ca_system_score_codex":0.00073576,"about_ca_system_score_gemma":0.0008509398,"threshold_uncertainty_score":0.1288476},"labels":[],"label_agreement":null},{"id":"W2278350153","doi":"10.1007/3-540-31801-1_128","title":"Automated Unstructured Mesh Generation for Objects in Direct Contact","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"","keywords":"Computer science; Computer graphics (images)","score_opus":0.014450811256237931,"score_gpt":0.23189784368984762,"score_spread":0.2174470324336097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278350153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019818193,0.00016777893,0.99252665,0.00003535393,0.000043382854,0.00003475633,0.00007411325,0.0012586397,0.0038775948],"genre_scores_gemma":[0.04949776,0.00035224727,0.9389308,0.000039587252,0.000025849098,0.00007577501,0.00054962264,0.00091106095,0.009617327],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996081,0.00003543439,0.000014442885,0.00005469465,0.00026533226,0.000021983322],"domain_scores_gemma":[0.9995534,0.00019342153,0.000016598482,0.00012861277,0.000096515105,0.000011536159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032120434,0.00075579045,0.0008194919,0.0007220763,0.00042958098,0.0008902136,0.0016663587,0.0009463807,0.0065225544],"category_scores_gemma":[0.0011156035,0.000655507,0.0007345176,0.00063926936,0.00049589906,0.0010087355,0.0012055052,0.0009999784,0.0026562486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006714359,0.00005118709,0.0003731708,0.00030787959,0.000038764196,0.00022505832,0.0003081191,0.16735385,0.044722266,0.037419185,0.022754982,0.72637844],"study_design_scores_gemma":[0.000012326723,0.000029313524,0.00020508615,0.000031652315,0.000013290921,0.000430686,0.00004774191,0.91877633,0.021069711,0.030029763,0.029331684,0.000022294302],"about_ca_topic_score_codex":0.0013220601,"about_ca_topic_score_gemma":0.0023945405,"teacher_disagreement_score":0.0065225544,"about_ca_system_score_codex":0.0002818064,"about_ca_system_score_gemma":0.0004954129,"threshold_uncertainty_score":0.021820128},"labels":[],"label_agreement":null},{"id":"W2284354266","doi":"","title":"Spatial pattern analysis of robbery and spousal assault in Vancouver between 1989 and 2000 utilizing Geographic Information Systems","year":2004,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Geography; Cartography; Criminology; Transport engineering; Psychology; Engineering","score_opus":0.006224158070469031,"score_gpt":0.19554418974145793,"score_spread":0.1893200316709889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284354266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703634,0.00011129723,0.000054631455,0.000025681842,0.000001968657,0.000015915468,0.001715921,0.000006428352,0.0010317651],"genre_scores_gemma":[0.9959912,0.00027251337,0.00021191225,0.0000065611766,0.0000020575665,0.000019439754,0.0025803903,0.000002524409,0.000913574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956375,0.000048070942,0.000049631897,0.00006373165,0.0001857491,0.00008899073],"domain_scores_gemma":[0.9985606,0.00012312665,0.00043599063,0.0000505015,0.000663856,0.00016587778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024603197,0.00017458262,0.00024430174,0.004415881,0.000826907,0.00094619225,0.00048642597,0.00019432633,0.000976115],"category_scores_gemma":[0.0016957347,0.00020748527,0.00018005015,0.006947778,0.00037133426,0.00019141269,0.0008585713,0.0002452371,0.00016748448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040192575,0.0000126216355,0.99098283,0.000038075275,0.000030150428,0.0001882674,0.0013151163,0.0002869659,0.00031669223,0.000060738603,0.00038035083,0.006348001],"study_design_scores_gemma":[4.5845266e-7,0.000006193699,0.9975908,0.000008031701,0.0000035749115,0.0000432813,0.0017954953,0.00014773103,0.000039811843,0.000003934841,0.00035831414,0.000002411416],"about_ca_topic_score_codex":0.84352267,"about_ca_topic_score_gemma":0.9376341,"teacher_disagreement_score":0.15647733,"about_ca_system_score_codex":0.0032410736,"about_ca_system_score_gemma":0.0019670236,"threshold_uncertainty_score":0.3147977},"labels":[],"label_agreement":null},{"id":"W2286296042","doi":"","title":"Génération d'un maillage pour éléments finis à partir de fichiers stéréolithographie (STL) : une interface indépendante des formats de CAO","year":2002,"lang":"fr","type":"article","venue":"Revue internationale de CFAO et d'informatique graphique","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science","score_opus":0.0314354091622652,"score_gpt":0.2688711354712203,"score_spread":0.23743572630895513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286296042","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30698058,0.00034836697,0.6667798,0.0002768357,0.00024989137,0.00014226926,0.0003166818,0.0074989223,0.01740663],"genre_scores_gemma":[0.4961153,0.00024341731,0.47129306,0.00014399446,0.000071165596,0.00014059136,0.00048617186,0.0013391074,0.03016724],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997578,0.0000250381,0.000014201988,0.00004470604,0.00012885885,0.000029468742],"domain_scores_gemma":[0.999481,0.00020982059,0.000055131757,0.00012594079,0.00009231265,0.000035725378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041340693,0.0005098629,0.00041324916,0.00061583804,0.0004406136,0.0009033766,0.00043990582,0.0009111011,0.008225052],"category_scores_gemma":[0.00069877954,0.00046006727,0.00038131262,0.00027829217,0.0004495965,0.00083507196,0.00059040904,0.0006024879,0.002276635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002975915,0.00009021335,0.00047379432,0.00012635716,0.000010888995,0.00031619353,0.0004889051,0.005618665,0.8727168,0.014762283,0.0015998555,0.1034985],"study_design_scores_gemma":[0.000049993072,0.00020135971,0.0007876465,0.000017600038,0.000012632709,0.00031625506,0.000077727025,0.03695301,0.94016004,0.0016413864,0.01974552,0.000036898666],"about_ca_topic_score_codex":0.00043799612,"about_ca_topic_score_gemma":0.0008600627,"teacher_disagreement_score":0.008225052,"about_ca_system_score_codex":0.00042885944,"about_ca_system_score_gemma":0.00035459537,"threshold_uncertainty_score":0.02751553},"labels":[],"label_agreement":null},{"id":"W2287793126","doi":"10.14288/1.0098263","title":"A computer analysis of the flow of water and nutrients in agricultural soils as affected by subsurface drainage","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Drainage; Soil water; Nutrient; Environmental science; Agriculture; Hydrology (agriculture); Watertable control; Water flow; Soil science; Water resource management; Geology; Geotechnical engineering; Ecology; Biology","score_opus":0.002294869857248103,"score_gpt":0.14970136174034507,"score_spread":0.14740649188309696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287793126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89425004,0.000066480425,0.09860661,0.000054714255,0.000009370375,0.00008464004,0.0009302608,0.0021595245,0.0038383873],"genre_scores_gemma":[0.97978663,0.000078949706,0.017713265,0.00000855041,0.0000032068867,0.000104259336,0.00071468,0.000052618325,0.0015379236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999373,0.000011216266,0.0000031535717,0.000018737228,0.000020259467,0.000009409852],"domain_scores_gemma":[0.9997317,0.00014508974,0.000015825579,0.000026540216,0.00006735542,0.000013433007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011580211,0.0003747665,0.00033290658,0.00040470168,0.00029865067,0.0003854976,0.0003532882,0.00021584546,0.0013980371],"category_scores_gemma":[0.0005883791,0.0001458513,0.0002324857,0.0004860911,0.0002302989,0.0003402444,0.00013607202,0.00018985802,0.00012654865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013338614,0.00007511749,0.013692859,0.000041903382,0.000030184003,0.00010363119,0.000097233074,0.9438321,0.013096038,0.0014702501,0.00064407557,0.026783284],"study_design_scores_gemma":[0.000010341339,0.000027430437,0.0038683286,0.0000016932497,0.000008078998,0.000017923527,0.000012682695,0.9932399,0.0019461912,0.00028376127,0.0005794085,0.0000041942],"about_ca_topic_score_codex":0.039639495,"about_ca_topic_score_gemma":0.0172197,"teacher_disagreement_score":0.039639495,"about_ca_system_score_codex":0.0010057243,"about_ca_system_score_gemma":0.0008783278,"threshold_uncertainty_score":0.07881755},"labels":[],"label_agreement":null},{"id":"W2289492132","doi":"10.5555/2888619.2888865","title":"Machine learning-based metamodels for sawing simulation","year":2015,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Exploit; Machine learning; Kernel (algebra); Artificial intelligence; Decision tree; Regression; Ridge; Tree (set theory); Kernel method; Support vector machine; Mathematics; Statistics","score_opus":0.09275486051425094,"score_gpt":0.31990013738291817,"score_spread":0.22714527686866723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289492132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03578746,0.00008466976,0.95987535,0.0001964441,0.000031258365,0.000087842745,0.00038102426,0.0016839764,0.0018719282],"genre_scores_gemma":[0.66656315,0.00013781994,0.32968318,0.00013557059,0.000027265443,0.00041425947,0.001191205,0.00040992646,0.0014376207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936813,0.00024628226,0.000046672754,0.00009950503,0.000189874,0.00004951648],"domain_scores_gemma":[0.9967623,0.0018190078,0.00029237213,0.0005556704,0.0004423284,0.00012822209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576143,0.0006788701,0.0008115994,0.00082963466,0.00043999555,0.00086331007,0.0015486003,0.0013430453,0.0029702191],"category_scores_gemma":[0.006146234,0.0004372,0.0011739664,0.00055375346,0.0007267967,0.001167935,0.00089189544,0.0013527664,0.0004752523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011265711,0.000016449689,0.0002638306,0.00000983147,0.000005244196,0.000009403191,0.000007020314,0.99380094,0.00039399273,0.002735098,0.000086154956,0.0026608643],"study_design_scores_gemma":[0.0000015056688,0.0000045423617,0.000020046866,0.0000012056544,4.836917e-7,0.000001934929,9.0537077e-7,0.99821496,0.00025049972,0.001389605,0.000112972084,0.0000013901488],"about_ca_topic_score_codex":0.0034294068,"about_ca_topic_score_gemma":0.0028607652,"teacher_disagreement_score":0.0034294068,"about_ca_system_score_codex":0.001382297,"about_ca_system_score_gemma":0.000990247,"threshold_uncertainty_score":0.010029256},"labels":[],"label_agreement":null},{"id":"W2301939757","doi":"10.14288/1.0091973","title":"Towards a landform geodatabase : the automatic identification of landforms","year":2009,"lang":"en","type":"article","venue":"Open Collections","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landform; Identification (biology); Spatial database; Geology; Geography; Remote sensing; Cartography; Spatial analysis; Ecology","score_opus":0.013842729311513388,"score_gpt":0.2682357614466594,"score_spread":0.254393032135146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301939757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028054511,0.0011444937,0.8222442,0.0022262405,0.00038087682,0.0013303686,0.08291468,0.04801661,0.013687944],"genre_scores_gemma":[0.05392811,0.0012635926,0.7265271,0.0004395417,0.00008645133,0.000986277,0.20788212,0.0019447607,0.0069420724],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99701524,0.00038319055,0.00045489773,0.0006139132,0.0014096772,0.00012303394],"domain_scores_gemma":[0.990686,0.0007126696,0.00057526224,0.0027325163,0.0047198725,0.00057370873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057174,0.0009401735,0.0013471832,0.007977105,0.0011821487,0.0040337746,0.003701403,0.001744105,0.008139578],"category_scores_gemma":[0.011015503,0.00094217557,0.000912442,0.008806991,0.00094005273,0.008382047,0.004083995,0.0025284607,0.011720302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002584143,0.0005050997,0.019415483,0.000924677,0.000114478775,0.00028333176,0.0009390101,0.011494784,0.013058685,0.023889128,0.15368462,0.77543235],"study_design_scores_gemma":[0.00018106136,0.00031106485,0.055088304,0.0012544161,0.00015374865,0.0005920081,0.0019867287,0.18035308,0.0366098,0.05323072,0.6699139,0.00032522928],"about_ca_topic_score_codex":0.01669836,"about_ca_topic_score_gemma":0.014513942,"teacher_disagreement_score":0.01669836,"about_ca_system_score_codex":0.0018577725,"about_ca_system_score_gemma":0.0033521373,"threshold_uncertainty_score":0.03320235},"labels":[],"label_agreement":null},{"id":"W2315689429","doi":"10.4133/sageep2013-070.1","title":"MAPPING LATERAL CHANGES IN CONDUCTANCE OF A THIN SHEET BY INVERTING TIME DOMAIN INDUCTIVE ELECTROMAGNETIC DATA","year":2013,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Conductance; Inversion (geology); Inductive method; Time domain; Geology; Electromagnetic field; Transmitter; Geometry; Mechanics; Mathematical analysis; Computer science; Physics; Mathematics; Telecommunications; Channel (broadcasting); Condensed matter physics","score_opus":0.005221475767089658,"score_gpt":0.16779882716421896,"score_spread":0.1625773513971293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315689429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67551273,0.00006218759,0.31871694,0.00009587328,0.000018616021,0.0000500801,0.00057488703,0.0012336446,0.003735131],"genre_scores_gemma":[0.9343053,0.000111554116,0.06393763,0.000033200762,0.0000048380384,0.000028872571,0.0004573705,0.00009298385,0.0010282896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99991906,0.000011484473,0.000004430565,0.000024409837,0.000029134198,0.000011535713],"domain_scores_gemma":[0.99976724,0.000075874676,0.000036307712,0.000054151293,0.00005470581,0.000011689748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019513567,0.000471257,0.00030552133,0.0006255762,0.00017388222,0.000734252,0.00045117535,0.00032930556,0.0012273688],"category_scores_gemma":[0.0009499781,0.00033600442,0.00042142125,0.0006431426,0.0003617664,0.0007170475,0.00034631914,0.00035288712,0.00035587262],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019033207,0.00014426165,0.029014489,0.000216927,0.00009275725,0.0004376418,0.00048732667,0.45445365,0.41915908,0.002221561,0.0008328178,0.09274919],"study_design_scores_gemma":[0.000012185785,0.00007940849,0.017803498,0.00001746264,0.000040501574,0.00021925513,0.00017835262,0.93100303,0.046491418,0.0029221878,0.0011835955,0.000049132697],"about_ca_topic_score_codex":0.0040216357,"about_ca_topic_score_gemma":0.006813086,"teacher_disagreement_score":0.0040216357,"about_ca_system_score_codex":0.00035027295,"about_ca_system_score_gemma":0.0004702205,"threshold_uncertainty_score":0.0079965},"labels":[],"label_agreement":null},{"id":"W2322407734","doi":"10.1190/ice2015-2208933","title":"Characterization of the Aquistore Project Site, Saskatchewan, Canada","year":2015,"lang":"en","type":"article","venue":"International Conference and Exhibition, Melbourne, Australia 13-16 September 2015","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; University of Alberta","funders":"","keywords":"Computer science","score_opus":0.042846330411054144,"score_gpt":0.27941297332207093,"score_spread":0.23656664291101678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322407734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87969834,0.0002484242,0.0035096032,0.0005154843,0.000033769957,0.0007418625,0.038102243,0.00023559146,0.0769148],"genre_scores_gemma":[0.92394376,0.00037493694,0.006394675,0.00032615403,0.000006494555,0.00040505492,0.022405138,0.00012784697,0.04601599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993131,0.000021959342,0.000017870943,0.00012936314,0.00037193354,0.0001458063],"domain_scores_gemma":[0.9987393,0.00003859353,0.000043648743,0.00004339051,0.0010219844,0.000112995855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036804576,0.0004891551,0.00030700403,0.0018816817,0.003085921,0.0011393923,0.0012528654,0.00037059726,0.008232951],"category_scores_gemma":[0.0006311553,0.0003067881,0.00020072378,0.004123324,0.00076806016,0.00046859847,0.0007985313,0.0005866007,0.0015687302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005855269,0.0005057368,0.7542241,0.00024556773,0.0001503597,0.002050081,0.003943258,0.01451681,0.040008917,0.0046975086,0.042709675,0.1363624],"study_design_scores_gemma":[0.00007894016,0.0001726787,0.9099035,0.000108658525,0.000035787587,0.00028736683,0.010206351,0.010638863,0.008417936,0.00051022775,0.05950054,0.00013903483],"about_ca_topic_score_codex":0.9789276,"about_ca_topic_score_gemma":0.9958883,"teacher_disagreement_score":0.021072388,"about_ca_system_score_codex":0.013564134,"about_ca_system_score_gemma":0.028793158,"threshold_uncertainty_score":0.09841514},"labels":[],"label_agreement":null},{"id":"W2325451053","doi":"10.1515/opar-2015-0011","title":"Curating Archaeological Knowledgein the Digital Continuum: from Practiceto Infrastructure","year":2015,"lang":"en","type":"article","venue":"Open Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"European Commission","keywords":"Archaeology; Material culture; Archaeological theory; Conceptualization; Digital curation; Reflexivity; Ontology; Interpretation (philosophy); Sociology; Conflict archaeology; Sociotechnical system; History; Computer science; Prehistoric archaeology; Epistemology; Anthropology; Knowledge management; World Wide Web","score_opus":0.03335490020591987,"score_gpt":0.29634636356817107,"score_spread":0.2629914633622512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325451053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29541606,0.011822608,0.36490467,0.102295056,0.0007590748,0.0011203579,0.00015439771,0.00071854255,0.22280927],"genre_scores_gemma":[0.9566694,0.0017582914,0.035737127,0.0010234801,0.00009268908,0.0004430372,0.00003606473,0.000110802765,0.0041291607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9716242,0.022375941,0.00066657306,0.0018668458,0.002358931,0.0011075061],"domain_scores_gemma":[0.94952846,0.03504279,0.0019589888,0.009929452,0.0020431245,0.0014972149],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.030106505,0.00048602253,0.0008503534,0.0026605674,0.00871776,0.020480666,0.0037471096,0.0040008463,0.007063023],"category_scores_gemma":[0.026272949,0.00059978873,0.00050395174,0.0034344217,0.07099365,0.023283746,0.026633272,0.004804029,0.0009705561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099339544,0.00046602194,0.0039430466,0.00082619337,0.00002597169,0.00051582133,0.16733374,0.0014420381,0.0012838015,0.7365875,0.003621156,0.08385546],"study_design_scores_gemma":[0.00007456002,0.00021505493,0.0021957725,0.0020808128,0.000026283135,0.00043105782,0.21135901,0.0022796902,0.0028392693,0.5782074,0.20023425,0.000056947592],"about_ca_topic_score_codex":0.0017936766,"about_ca_topic_score_gemma":0.0022932626,"teacher_disagreement_score":0.9795193,"about_ca_system_score_codex":0.0086103035,"about_ca_system_score_gemma":0.014552849,"threshold_uncertainty_score":0.15922028},"labels":[],"label_agreement":null},{"id":"W2326193812","doi":"10.1071/aseg2003ab184","title":"What if your Inversion has no Numerical Target?","year":2003,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Domtar (Canada)","funders":"","keywords":"Inversion (geology); Computer science; Uniqueness; Visualization; Algorithm; Computation; Numerical analysis; Theoretical computer science; Data mining; Mathematical optimization; Mathematics; Geology; Mathematical analysis","score_opus":0.02034104948221266,"score_gpt":0.24686734648696174,"score_spread":0.22652629700474908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326193812","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033708774,0.0010018437,0.8023634,0.036335167,0.0034414188,0.0002716538,0.00069771014,0.011084446,0.1110957],"genre_scores_gemma":[0.46475694,0.0012593219,0.4577808,0.008643941,0.0018025745,0.00040265697,0.0007462736,0.0033387472,0.061268862],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997101,0.001019627,0.00017666948,0.00043368794,0.0010511541,0.00021787285],"domain_scores_gemma":[0.9931098,0.0031627803,0.00054011866,0.00080412853,0.001919424,0.00046379174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006080403,0.00069028523,0.000754621,0.0009839827,0.0010937919,0.004163333,0.0010331459,0.0027813523,0.019394329],"category_scores_gemma":[0.029236022,0.00031033464,0.00049130514,0.00061016355,0.0015821906,0.0040068934,0.0017955755,0.0015654668,0.012666063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011907122,0.00026589533,0.017289167,0.0005659584,0.000119843164,0.0012849763,0.0038837332,0.0054749963,0.016401252,0.101912074,0.13847089,0.71314055],"study_design_scores_gemma":[0.00018945342,0.0004792726,0.0054935045,0.0008027454,0.00015370526,0.0029252344,0.005099917,0.1647381,0.043278314,0.29456198,0.48183247,0.0004451878],"about_ca_topic_score_codex":0.0011647319,"about_ca_topic_score_gemma":0.0018450911,"teacher_disagreement_score":0.019394329,"about_ca_system_score_codex":0.00058728183,"about_ca_system_score_gemma":0.00095358933,"threshold_uncertainty_score":0.06488055},"labels":[],"label_agreement":null},{"id":"W2339645764","doi":"","title":"Applications of Archaeological GIS","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Ethnology; Archaeology; Library science; Humanities; Geography; History; Cartography; Art; Computer science","score_opus":0.008904658562441345,"score_gpt":0.22305519900489362,"score_spread":0.21415054044245227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339645764","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015977208,0.020021362,0.2467786,0.020357653,0.0024457867,0.0005735545,0.0029649334,0.0029191612,0.68796164],"genre_scores_gemma":[0.36741853,0.043740198,0.4744583,0.0037839517,0.002156872,0.00078933366,0.0034369673,0.0011275525,0.10308833],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99235266,0.0037867364,0.00057449605,0.00070403,0.0022024126,0.00037966098],"domain_scores_gemma":[0.99083966,0.00430129,0.00048636663,0.0020536252,0.001993124,0.0003259395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057288287,0.001071245,0.00057445816,0.007359023,0.0024408775,0.009824682,0.0022207482,0.001837967,0.022148322],"category_scores_gemma":[0.014081431,0.0006730619,0.00079712976,0.011583187,0.0033477736,0.005015122,0.0073449984,0.0016271562,0.004821123],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000824828,0.00006358053,0.0067980345,0.0011333445,0.00009254566,0.0010057518,0.0075190966,0.005536182,0.0016007643,0.45941877,0.05411877,0.46263066],"study_design_scores_gemma":[0.000009580748,0.00002167708,0.0014590214,0.0005363236,0.000022319522,0.00074641354,0.004022713,0.00218397,0.0009581805,0.06386078,0.9261471,0.000031882333],"about_ca_topic_score_codex":0.008414064,"about_ca_topic_score_gemma":0.009997374,"teacher_disagreement_score":0.022148322,"about_ca_system_score_codex":0.0033229555,"about_ca_system_score_gemma":0.004506174,"threshold_uncertainty_score":0.07409346},"labels":[],"label_agreement":null},{"id":"W2348097582","doi":"","title":"Matching contour of 3-D objects based on B-splines curve representation","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Curvature; Mathematics; Matching (statistics); Invariant (physics); Torsion of a curve; Algorithm; Torsion (gastropod); Transformation (genetics); Rotation (mathematics); Artificial intelligence; Pattern recognition (psychology); Geometry; Computer science; Principal curvature; Mean curvature","score_opus":0.015972763156843782,"score_gpt":0.274287777940486,"score_spread":0.2583150147836422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348097582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012092248,0.00016229153,0.9860826,0.000049871294,0.000021139118,0.00004508552,0.00006781454,0.00070357,0.00077523343],"genre_scores_gemma":[0.21146624,0.00048474496,0.78444046,0.000044455704,0.000027573655,0.000107233565,0.0006193225,0.00028352742,0.0025264164],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923563,0.00010609452,0.00003978431,0.0001253928,0.0004497325,0.000043336706],"domain_scores_gemma":[0.99951255,0.00009916764,0.000063649495,0.00014452246,0.00014704454,0.00003311013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335712,0.0005320652,0.0008226019,0.0029553557,0.00044792113,0.0011636029,0.0011827874,0.0011786922,0.0030251357],"category_scores_gemma":[0.002209259,0.00040863402,0.0009415635,0.002626485,0.00063040055,0.0017173183,0.00080058846,0.00064885756,0.0014906037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000299028,0.00009417489,0.0029757598,0.00034972484,0.00011248923,0.00031576992,0.00033931682,0.090696804,0.103838034,0.030197805,0.0038335256,0.7669476],"study_design_scores_gemma":[0.000034055658,0.00015761494,0.0037158038,0.000051148712,0.00004643227,0.00087856496,0.00015606983,0.8996987,0.05496745,0.024139142,0.01608676,0.000068241054],"about_ca_topic_score_codex":0.0026167824,"about_ca_topic_score_gemma":0.0013681621,"teacher_disagreement_score":0.0030251357,"about_ca_system_score_codex":0.0005731827,"about_ca_system_score_gemma":0.000817796,"threshold_uncertainty_score":0.010120094},"labels":[],"label_agreement":null},{"id":"W2360223645","doi":"","title":"Texture Feature Extraction Methods of Micrograph Image","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Texture (cosmology); Feature (linguistics); Image (mathematics); Computer vision; Image texture; Pattern recognition (psychology); Feature extraction; Texture filtering; Image processing","score_opus":0.005904916639806267,"score_gpt":0.31469376326221105,"score_spread":0.3087888466224048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360223645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028986717,0.00078067934,0.9641249,0.00014378861,0.00009227614,0.00011577388,0.00031913863,0.0019244154,0.0035122733],"genre_scores_gemma":[0.28836247,0.0017672405,0.7000086,0.00008359304,0.00015625713,0.00021550307,0.0010262092,0.00049401907,0.007886087],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996667,0.000022443375,0.000020700349,0.00006983977,0.00017616637,0.00004413199],"domain_scores_gemma":[0.999584,0.00009724038,0.000049888637,0.000050333176,0.000199684,0.000018813713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033789952,0.00048372918,0.000535982,0.0028106181,0.00032356355,0.0010624673,0.0005141726,0.0003885364,0.0037094532],"category_scores_gemma":[0.0011437574,0.00026697275,0.0005576419,0.001796958,0.00035794682,0.0010711775,0.00035721864,0.0004907339,0.0013946401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001660005,0.000041304793,0.0013674011,0.00036380108,0.000029541623,0.0001443287,0.00015093327,0.002381927,0.22573738,0.0026825701,0.0031972923,0.7637375],"study_design_scores_gemma":[0.00008911991,0.0002892151,0.035723515,0.00010325026,0.00022899164,0.002895858,0.0005325358,0.36337423,0.5311383,0.0074978755,0.05796654,0.00016056738],"about_ca_topic_score_codex":0.0012985695,"about_ca_topic_score_gemma":0.0014697787,"teacher_disagreement_score":0.0037094532,"about_ca_system_score_codex":0.00033559065,"about_ca_system_score_gemma":0.0003341492,"threshold_uncertainty_score":0.012409389},"labels":[],"label_agreement":null},{"id":"W2360562718","doi":"","title":"Research on An Improved Modified Surface Matching","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Iterative closest point; Computer science; Matching (statistics); Point set registration; Blossom algorithm; Algorithm; Surface (topology); Point (geometry); Artificial intelligence; Point cloud; Mathematics; Geometry","score_opus":0.02741911551573265,"score_gpt":0.33248640953055136,"score_spread":0.3050672940148187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360562718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006157052,0.0008745395,0.9884193,0.00016018782,0.0002008441,0.00006532566,0.000043686876,0.000978312,0.0031006949],"genre_scores_gemma":[0.093715176,0.0012640374,0.89422417,0.00020753927,0.00019461087,0.00013025544,0.00040683136,0.00033809477,0.009519368],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972957,0.0003385326,0.00012599904,0.00056958955,0.0015595,0.00011066207],"domain_scores_gemma":[0.99843985,0.00026722893,0.00007799235,0.0002811067,0.00089196843,0.000041884276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014763578,0.00091249374,0.0014171697,0.0024840673,0.00051179744,0.0012835334,0.0025252781,0.0018135321,0.0050560893],"category_scores_gemma":[0.00347268,0.0005883331,0.0015955445,0.0033808465,0.0007255427,0.0029466264,0.0013142382,0.0010987896,0.00212583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001768027,0.000082518454,0.0010197364,0.0003740949,0.00015601683,0.00017217129,0.00015821973,0.032227337,0.064017124,0.03486863,0.006317887,0.86042947],"study_design_scores_gemma":[0.000074231066,0.00038809818,0.0025128732,0.00005073249,0.00017612122,0.0016195283,0.000095898744,0.7957812,0.0850656,0.01703866,0.097070135,0.00012693185],"about_ca_topic_score_codex":0.0019329984,"about_ca_topic_score_gemma":0.000862206,"teacher_disagreement_score":0.0050560893,"about_ca_system_score_codex":0.0007100455,"about_ca_system_score_gemma":0.00080931117,"threshold_uncertainty_score":0.016914308},"labels":[],"label_agreement":null},{"id":"W2363066417","doi":"","title":"Application and Development of Fractal Theory in the Field of Material Science","year":2000,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Fractal; Fractal dimension; Fractal dimension on networks; Field (mathematics); Field theory (psychology); Fractal derivative; Fractal analysis; Statistical physics; Mathematics; Materials science; Physics; Mathematical analysis; Pure mathematics","score_opus":0.004569007355515794,"score_gpt":0.239489272023587,"score_spread":0.2349202646680712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363066417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023932941,0.1835848,0.70514476,0.005326149,0.0036671425,0.00015675739,0.00028134455,0.00052031135,0.07738587],"genre_scores_gemma":[0.39956513,0.17322294,0.40354636,0.0016681645,0.0038199672,0.00031360477,0.00040953452,0.000162353,0.01729196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999057,0.0002482727,0.00008485857,0.00017841374,0.00036289723,0.00006852254],"domain_scores_gemma":[0.99825174,0.00092328986,0.00010629606,0.00018277111,0.00047242086,0.000063507454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013929151,0.0006592627,0.001094969,0.002723357,0.0011033871,0.0020484836,0.0007402079,0.0014001102,0.002068721],"category_scores_gemma":[0.003230675,0.00048249177,0.0011714944,0.0021897887,0.0029736822,0.003173808,0.0014211114,0.0026114387,0.0008396315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003411994,0.000024700508,0.00076568325,0.0009094423,0.000055457127,0.00032810797,0.0005518464,0.009231387,0.006886866,0.847466,0.0050928704,0.12865363],"study_design_scores_gemma":[0.000016583763,0.00012226918,0.0014995949,0.00043464568,0.000043692064,0.0017096634,0.00022202503,0.02901255,0.006283044,0.7542966,0.20622747,0.00013188692],"about_ca_topic_score_codex":0.00089983165,"about_ca_topic_score_gemma":0.0004574622,"teacher_disagreement_score":0.002723357,"about_ca_system_score_codex":0.0013829542,"about_ca_system_score_gemma":0.0009826331,"threshold_uncertainty_score":0.010034025},"labels":[],"label_agreement":null},{"id":"W237761274","doi":"","title":"CanSIS Regional Soils Data in Vector Format","year":2000,"lang":"en","type":"article","venue":"NASA Technical Reports Server (NASA)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Raster graphics; Data set; Table (database); Set (abstract data type); Raster data; Data file; Projection (relational algebra); Computer science; Remote sensing; Geography; Database; Computer graphics (images); Programming language","score_opus":0.030478086184703428,"score_gpt":0.2747630746637379,"score_spread":0.24428498847903446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W237761274","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00077279727,0.000032643253,0.00044196568,0.000049201826,0.000032065374,0.00006500881,0.98890567,0.0015847881,0.008115879],"genre_scores_gemma":[0.002728997,0.00008565842,0.0017502955,0.000026943493,0.0000060804696,0.00009798418,0.9891237,0.00034086235,0.0058393944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998546,0.000056275865,0.00011601011,0.00016390359,0.0008703281,0.00024750145],"domain_scores_gemma":[0.9933496,0.00021569412,0.0001844854,0.00064361154,0.0052838866,0.0003227729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080331735,0.0013730451,0.0010221442,0.00802128,0.0012246362,0.0029130108,0.002425648,0.0006264258,0.10546828],"category_scores_gemma":[0.0038440644,0.00066233217,0.0005152647,0.020685807,0.0003750517,0.0011379003,0.0013211463,0.0010481597,0.07204074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013514936,0.000038962677,0.0032943415,0.00027290324,0.000032087934,0.000059155158,0.000108912085,0.0011111073,0.0006737809,0.002322634,0.97305465,0.018896395],"study_design_scores_gemma":[0.00009344611,0.000009383168,0.010348309,0.00009313312,0.000026328018,0.000048181962,0.00026668143,0.0013650593,0.002110663,0.0011310923,0.9844432,0.000064510015],"about_ca_topic_score_codex":0.88422954,"about_ca_topic_score_gemma":0.87301254,"teacher_disagreement_score":0.11577046,"about_ca_system_score_codex":0.009006743,"about_ca_system_score_gemma":0.0216128,"threshold_uncertainty_score":0.35282654},"labels":[],"label_agreement":null},{"id":"W2388069962","doi":"","title":"The Influence of Varnish and Paper Performance on Watermark Effect","year":2008,"lang":"en","type":"article","venue":"Journal of Beijing Institute of Graphic Communication","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Watermark; Varnish; Transmittance; Computer science; Materials science; Engineering drawing; Engineering; Artificial intelligence; Composite material; Optoelectronics; Embedding","score_opus":0.006874685343110234,"score_gpt":0.2114533816958885,"score_spread":0.20457869635277828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388069962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888045,0.002814598,0.0051543983,0.00007098493,0.00009920157,0.000018417628,0.0000643658,0.00014823115,0.002825242],"genre_scores_gemma":[0.9966084,0.0007939998,0.0010888913,0.00003350524,0.0000206471,0.000006261176,0.00004856719,0.000058475038,0.001341269],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99925226,0.0001088703,0.000055838373,0.000119199016,0.0003433179,0.00012045248],"domain_scores_gemma":[0.99659026,0.0018800383,0.0004935573,0.00026054904,0.00061309227,0.00016254114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072667276,0.0004972537,0.0003338515,0.00051943754,0.00026099937,0.00082398107,0.0003772065,0.00064879545,0.0033117349],"category_scores_gemma":[0.004074284,0.0003167351,0.0003354977,0.00041891486,0.0005395614,0.0012735904,0.0005246331,0.00041073732,0.0008131764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089478836,0.00004824375,0.0018154822,0.00017410709,0.000024025669,0.00024235046,0.00018042017,0.0016020566,0.9847172,0.0001872407,0.000088157656,0.0100258],"study_design_scores_gemma":[0.000016167663,0.0008646779,0.0056480765,0.000014550405,0.000057460715,0.00019212645,0.00014038586,0.002733428,0.98936635,0.00011441091,0.00082789053,0.000024417775],"about_ca_topic_score_codex":0.0003450783,"about_ca_topic_score_gemma":0.0003068267,"teacher_disagreement_score":0.0033117349,"about_ca_system_score_codex":0.00020008898,"about_ca_system_score_gemma":0.00013648617,"threshold_uncertainty_score":0.0110788345},"labels":[],"label_agreement":null},{"id":"W2391800167","doi":"","title":"The 3D Reconstruction of Recovering Surface Texture from Free Multiple Views","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Silhouette; Computer vision; Texture mapping; Artificial intelligence; Projection (relational algebra); Perspective (graphical); Texture (cosmology); 3D reconstruction; Projective texture mapping; Displacement mapping; Surface (topology); Computer graphics (images); Image (mathematics); Image texture; Algorithm; Image processing; Mathematics; Geometry","score_opus":0.00916176722642845,"score_gpt":0.22133576196930832,"score_spread":0.21217399474287987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391800167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008602769,0.000081720806,0.9903868,0.00003015621,0.00002254365,0.000014835475,0.00004145957,0.0004215514,0.0003981571],"genre_scores_gemma":[0.109615676,0.00023629687,0.8887031,0.000024440846,0.000027703403,0.00002884167,0.00011937256,0.00014196394,0.0011026239],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962676,0.000049881255,0.000011778697,0.000065971544,0.00021918888,0.000026391803],"domain_scores_gemma":[0.9996563,0.00007570032,0.00004019199,0.00011986827,0.00008909323,0.000018844918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033580378,0.00050378987,0.00059862854,0.0009563587,0.00023285595,0.0006602939,0.0006018993,0.00060764776,0.0014617085],"category_scores_gemma":[0.0010868696,0.00042596986,0.0006517867,0.0006101159,0.00037542195,0.00072233507,0.00062828354,0.0006983016,0.0007273004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019304776,0.000035939767,0.0011504808,0.00026272153,0.00006410465,0.00027241526,0.00018155476,0.033724666,0.36640742,0.008305947,0.002202441,0.5871992],"study_design_scores_gemma":[0.000034212226,0.0001510348,0.0029951402,0.000023451441,0.000043855613,0.0021312814,0.00008842871,0.7563811,0.22321126,0.004272114,0.010590917,0.00007716362],"about_ca_topic_score_codex":0.0012080353,"about_ca_topic_score_gemma":0.0014500135,"teacher_disagreement_score":0.0014617085,"about_ca_system_score_codex":0.00019191067,"about_ca_system_score_gemma":0.0004248591,"threshold_uncertainty_score":0.0048899055},"labels":[],"label_agreement":null},{"id":"W2393134430","doi":"","title":"Digitizing Of Engineering Curves And Application Base On Image Processing Technology","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Interpolation (computer graphics); Image (mathematics); Image processing; Image scaling; Base (topology); Curve fitting; Computer graphics (images); Computer vision; Artificial intelligence; Engineering drawing; Mathematics","score_opus":0.005392834152934504,"score_gpt":0.20716437469773902,"score_spread":0.2017715405448045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393134430","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013689252,0.0024243407,0.9599754,0.00022708866,0.00012244897,0.00018502436,0.0004733964,0.003071111,0.019831901],"genre_scores_gemma":[0.121320195,0.0073051266,0.8533762,0.00016014297,0.00024816865,0.00022349253,0.0016853691,0.000773497,0.014907832],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898404,0.000096609176,0.0000801233,0.00021786419,0.00055779505,0.00006353023],"domain_scores_gemma":[0.9989869,0.00023215532,0.000056386958,0.0003097842,0.00037913444,0.000035658373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005886924,0.0008576575,0.00060525024,0.0051483596,0.00056848896,0.0018178619,0.0010274912,0.00064167165,0.00922495],"category_scores_gemma":[0.0018768214,0.0004775606,0.0007160573,0.0056911204,0.0008944137,0.0022366205,0.001051947,0.0009812999,0.003721608],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080417994,0.000030786836,0.0016013073,0.00040846557,0.000025490976,0.00016578178,0.00033744512,0.006523049,0.0525963,0.017025927,0.0065610847,0.914644],"study_design_scores_gemma":[0.00006490276,0.0004158606,0.01719667,0.00047088318,0.00022509777,0.004804023,0.0008346481,0.15228218,0.34047523,0.0519338,0.4309362,0.0003605174],"about_ca_topic_score_codex":0.002061878,"about_ca_topic_score_gemma":0.0016461281,"teacher_disagreement_score":0.00922495,"about_ca_system_score_codex":0.00045521368,"about_ca_system_score_gemma":0.0009584479,"threshold_uncertainty_score":0.030860543},"labels":[],"label_agreement":null},{"id":"W2402665237","doi":"10.3233/978-1-61499-438-1-51","title":"Voids and material constitution across physical granularities","year":2014,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Constitution; Political science; Law","score_opus":0.019649674819080313,"score_gpt":0.26291917009249055,"score_spread":0.24326949527341024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402665237","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07882407,0.01819345,0.3929439,0.0060986844,0.001088399,0.00012430653,0.00036332893,0.00088483305,0.5014791],"genre_scores_gemma":[0.82993233,0.008146665,0.10714181,0.0006755636,0.00051782833,0.00020639002,0.00031172374,0.00041803127,0.052649647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991592,0.00017723383,0.00006215278,0.00018519291,0.00031600107,0.00010021335],"domain_scores_gemma":[0.9984126,0.00075620686,0.00015360532,0.00046767056,0.00011814655,0.000091664566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012305253,0.00029013623,0.000475589,0.001665342,0.001615862,0.0048679924,0.0009865533,0.0012761081,0.0040911636],"category_scores_gemma":[0.0032613163,0.00049046706,0.0005779215,0.0013144221,0.011032264,0.009733774,0.004256624,0.0022206393,0.00067582837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072500097,0.0000037140833,0.00011568828,0.000045773602,0.0000030426768,0.00006699503,0.00038373607,0.00088209397,0.000606076,0.9896864,0.00057084375,0.007628396],"study_design_scores_gemma":[0.000005068516,0.000008014828,0.0005663319,0.00007576381,0.0000082687975,0.00016552789,0.00026374278,0.0023793103,0.0008350476,0.9495267,0.046150297,0.00001594836],"about_ca_topic_score_codex":0.0012617162,"about_ca_topic_score_gemma":0.0013217309,"teacher_disagreement_score":0.0048679924,"about_ca_system_score_codex":0.0012828447,"about_ca_system_score_gemma":0.00089419,"threshold_uncertainty_score":0.013686359},"labels":[],"label_agreement":null},{"id":"W2436554271","doi":"","title":"Multislice computed tomography of two 2000-year-old skeletons in a soil matrix from Angkor, Cambodia.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Computed tomography; Multislice computed tomography; Tomography; Nuclear medicine; Radiology","score_opus":0.009421930964384172,"score_gpt":0.22036172229531512,"score_spread":0.21093979133093094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2436554271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911049,0.0005578482,0.0009285371,0.0007954235,0.000042112868,0.00014279014,0.0017181485,0.000025808566,0.0046845167],"genre_scores_gemma":[0.9955071,0.00064134446,0.0011835492,0.00023299619,0.000045364708,0.000018412955,0.00066330394,0.00001651109,0.0016914107],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.9997794,0.000014539247,0.000028258217,0.000049504368,0.000047089372,0.00008124156],"domain_scores_gemma":[0.9996505,0.000060972052,0.00005287305,0.00003098302,0.00009062838,0.00011399099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031104227,0.0009129268,0.0005205319,0.0041767545,0.0013486153,0.0006698859,0.001046595,0.0029312465,0.00383693],"category_scores_gemma":[0.000853403,0.0010700154,0.0005214382,0.0012542468,0.001091042,0.0005681176,0.0010846618,0.0011131798,0.0010473646],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012377449,0.00065365084,0.3662916,0.0003865724,0.00022955779,0.5410014,0.0056656776,0.001467052,0.06472345,0.00043073783,0.0017249219,0.016187645],"study_design_scores_gemma":[0.00002932804,0.00029339804,0.80233073,0.000121747435,0.00010584321,0.18772087,0.004022437,0.00086456316,0.0019341386,0.00012833928,0.0024135658,0.000034945355],"about_ca_topic_score_codex":0.06613465,"about_ca_topic_score_gemma":0.10915684,"teacher_disagreement_score":0.06613465,"about_ca_system_score_codex":0.0014927755,"about_ca_system_score_gemma":0.0010282408,"threshold_uncertainty_score":0.13149935},"labels":[],"label_agreement":null},{"id":"W2469086643","doi":"10.3233/978-1-58603-964-6-426","title":"An Efficient Virtual Dissection Tool to Create Generic Models for Anatomical Atlases","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Dissection (medical); Data science; Human–computer interaction; Anatomy; Medicine","score_opus":0.0303103056639768,"score_gpt":0.3388976521402591,"score_spread":0.3085873464762823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469086643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012189581,0.000039841954,0.9935516,0.000030830903,0.000022471775,0.000067902256,0.0002379218,0.004171145,0.000659328],"genre_scores_gemma":[0.016883947,0.0001673326,0.9782642,0.000052398864,0.000013530002,0.00028551396,0.00081682904,0.0022655337,0.001250809],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986104,0.00022004955,0.0001504821,0.00019990315,0.00072453695,0.00009463465],"domain_scores_gemma":[0.9982343,0.000722937,0.00012263158,0.00057730754,0.00021645277,0.00012632803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021519526,0.0015579803,0.0010938909,0.002237079,0.00066967175,0.0021595221,0.0028863626,0.0011512772,0.013248169],"category_scores_gemma":[0.003917688,0.0018521589,0.0024493225,0.0010603114,0.0008739142,0.0018365434,0.004016402,0.001946986,0.004143419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002541474,0.00013327137,0.0021262716,0.000875634,0.0002760236,0.0012299644,0.001121875,0.12272643,0.0844645,0.05811127,0.04331796,0.68536264],"study_design_scores_gemma":[0.00018879582,0.00032066897,0.002937315,0.00030608982,0.00019163074,0.0059329225,0.00024827183,0.5379558,0.08582765,0.054046247,0.31155056,0.00049407204],"about_ca_topic_score_codex":0.0011141988,"about_ca_topic_score_gemma":0.0021963187,"teacher_disagreement_score":0.013248169,"about_ca_system_score_codex":0.00056242844,"about_ca_system_score_gemma":0.0013186667,"threshold_uncertainty_score":0.04431957},"labels":[],"label_agreement":null},{"id":"W2473055205","doi":"10.14288/1.0100348","title":"The organization of microcore technology in the Canadian southern interior plateau","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Plateau (mathematics); Geography; Geology; Mathematics","score_opus":0.006535904812375267,"score_gpt":0.14710405959657366,"score_spread":0.1405681547841984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473055205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803403,0.00032425157,0.00082909886,0.00018617697,0.0000018640719,0.000045401743,0.0001597544,0.000018369696,0.018094925],"genre_scores_gemma":[0.9958276,0.00017423245,0.001255494,0.000021367214,8.449285e-7,0.00001908795,0.00010468029,0.000006050973,0.0025906214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990258,0.00010402816,0.000025909329,0.00017322434,0.0002992717,0.00037164972],"domain_scores_gemma":[0.998445,0.00023406831,0.00025468745,0.00012326713,0.00066554226,0.0002774704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043231674,0.00022982642,0.00021858276,0.0029875138,0.005344701,0.0045622187,0.0011254761,0.00050672336,0.0019397462],"category_scores_gemma":[0.0018622945,0.00028024463,0.00021316622,0.0046236506,0.005280795,0.000741378,0.0014208596,0.0003778648,0.00016712157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021507393,0.00010491036,0.77399236,0.00018689688,0.000043939206,0.0020092523,0.07977222,0.0060753087,0.010640633,0.032287467,0.0013752298,0.09329677],"study_design_scores_gemma":[0.0000103645925,0.00006638393,0.91850674,0.00009747323,0.000021661246,0.00035458506,0.05620338,0.0039637275,0.0006686698,0.0024680893,0.017595613,0.000043214484],"about_ca_topic_score_codex":0.9607753,"about_ca_topic_score_gemma":0.98623705,"teacher_disagreement_score":0.039224684,"about_ca_system_score_codex":0.034719847,"about_ca_system_score_gemma":0.031901322,"threshold_uncertainty_score":0.25191128},"labels":[],"label_agreement":null},{"id":"W2490497482","doi":"10.2136/sssabookser5.5.c8","title":"Digital Image Analysis of Soil Micromorphology","year":2008,"lang":"en","type":"book-chapter","venue":"Soil Science Society of America book series","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Digital image analysis; Image (mathematics); Geology; Computer science; Computer vision","score_opus":0.007523737079007835,"score_gpt":0.21301343463311362,"score_spread":0.2054896975541058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490497482","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0081068985,0.012176427,0.9334554,0.0005675545,0.00054930453,0.000095042,0.0008845918,0.0024110833,0.041753802],"genre_scores_gemma":[0.078185506,0.021132164,0.7559268,0.00044136881,0.0003640524,0.00013955998,0.0016628706,0.00086362846,0.14128399],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988055,0.0000074512964,0.0000051906386,0.000021543858,0.00007848802,0.000006801546],"domain_scores_gemma":[0.99983025,0.000048082158,0.000009456271,0.00002576103,0.00008042691,0.000006036392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015305805,0.00037169308,0.0003823123,0.0012634372,0.00017057,0.0009832222,0.00060227315,0.0003381641,0.013307656],"category_scores_gemma":[0.00039309732,0.0003157456,0.0003785031,0.0012622067,0.00029485588,0.0005966807,0.00034755416,0.0004570917,0.004508577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021677133,0.000020531073,0.0003621642,0.00042954204,0.000020470074,0.000048488004,0.000060689305,0.0037988645,0.05545059,0.008516053,0.026012259,0.9052587],"study_design_scores_gemma":[0.000013787751,0.00007578759,0.011527279,0.00024861883,0.00011509671,0.0015215459,0.00021803223,0.14608425,0.16482326,0.031155374,0.6441409,0.00007604708],"about_ca_topic_score_codex":0.0016361682,"about_ca_topic_score_gemma":0.0035629324,"teacher_disagreement_score":0.013307656,"about_ca_system_score_codex":0.00037621285,"about_ca_system_score_gemma":0.0004133248,"threshold_uncertainty_score":0.04451859},"labels":[],"label_agreement":null},{"id":"W2510010316","doi":"","title":"1 - Filtrage des signaux à échantillonnage non uniforme","year":2001,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.02994304507835176,"score_gpt":0.24152654462840628,"score_spread":0.2115834995500545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510010316","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42311347,0.0005661987,0.5526848,0.0010328528,0.00043012123,0.00009401106,0.00038970407,0.0017252638,0.019963544],"genre_scores_gemma":[0.8963182,0.0005675481,0.07290518,0.0001888079,0.00014007614,0.00009189914,0.00041216594,0.00034938392,0.02902676],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990608,0.00017635048,0.000047942398,0.00017124682,0.0004029656,0.00014066686],"domain_scores_gemma":[0.9971253,0.0015021453,0.0002640558,0.00029734412,0.00053649035,0.0002747632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008017699,0.0012131406,0.00087679666,0.0013984712,0.00087793026,0.0028367958,0.00048766696,0.0020059892,0.007402047],"category_scores_gemma":[0.004970983,0.000320583,0.00068991625,0.0007473742,0.0014948851,0.001381385,0.0013055097,0.0018790765,0.0012957995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004273797,0.00057048444,0.015715672,0.00059681473,0.0002975168,0.0102924155,0.0010249021,0.13496962,0.37063187,0.20766653,0.0068319207,0.24712858],"study_design_scores_gemma":[0.00025859245,0.00083566,0.016828213,0.00013184467,0.00011436569,0.0064295107,0.0003974365,0.6719201,0.24466787,0.04540342,0.012787816,0.00022515356],"about_ca_topic_score_codex":0.0038618443,"about_ca_topic_score_gemma":0.003004036,"teacher_disagreement_score":0.007402047,"about_ca_system_score_codex":0.0016267867,"about_ca_system_score_gemma":0.0007191011,"threshold_uncertainty_score":0.024762273},"labels":[],"label_agreement":null},{"id":"W2521754996","doi":"10.1017/s0068246216000258","title":"POMPEII: PORTA NOLA NECROPOLIS PROJECT (COMUNE DI POMPEI, PROVINCIA DI NAPOLI, REGIONE CAMPANIA)","year":2016,"lang":"it","type":"article","venue":"Papers of the British School at Rome","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arthur B. McDonald-Canadian Astroparticle Physics Research Institute","funders":"","keywords":"Art; Humanities","score_opus":0.010296288302197401,"score_gpt":0.2178337041818148,"score_spread":0.2075374158796174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521754996","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08020175,0.023733422,0.023296403,0.033017557,0.0040625036,0.002371246,0.31951687,0.0071060997,0.50669414],"genre_scores_gemma":[0.29152325,0.011336532,0.0782994,0.0028905785,0.0010607343,0.0029915262,0.1813516,0.00433334,0.42621306],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995555,0.000100253674,0.000013425553,0.000116093404,0.00010893035,0.00010568569],"domain_scores_gemma":[0.9989743,0.00016990822,0.00008772154,0.0001223187,0.00029632717,0.00034945653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013174854,0.001109417,0.00054387643,0.0023738805,0.00092871976,0.0025835766,0.0009856175,0.0005809773,0.094478],"category_scores_gemma":[0.0019801324,0.00034074447,0.00036131078,0.0017118427,0.0004731773,0.0010713715,0.0022569816,0.0008131597,0.018951306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012887085,0.00018548928,0.015136539,0.0015777388,0.00013274804,0.0013027888,0.0021736177,0.00093717774,0.0038363063,0.034102503,0.6549345,0.28439188],"study_design_scores_gemma":[0.00012960496,0.00005693883,0.03245221,0.0003970044,0.000027657667,0.00046091524,0.0009591129,0.00049499585,0.0012225664,0.0038201811,0.959966,0.000012817695],"about_ca_topic_score_codex":0.02817064,"about_ca_topic_score_gemma":0.030154446,"teacher_disagreement_score":0.094478,"about_ca_system_score_codex":0.0026773303,"about_ca_system_score_gemma":0.005793843,"threshold_uncertainty_score":0.31606042},"labels":[],"label_agreement":null},{"id":"W2529021752","doi":"10.1177/1469605316668451","title":"Sharing deep history as digital knowledge: An ontology of the Sq’éwlets website project","year":2016,"lang":"en","type":"article","venue":"Journal of Social Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Assembly of First Nations; University of British Columbia; Canadian Heritage; Simon Fraser University","funders":"","keywords":"Ontology; Indigenous; World Wide Web; Sociology; Relation (database); History; Computer science; Epistemology; Philosophy","score_opus":0.01837635139033018,"score_gpt":0.2694850430732087,"score_spread":0.2511086916828785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529021752","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113777764,0.0035812194,0.19091958,0.019876888,0.00047058638,0.00033720347,0.00040419798,0.0003233485,0.6703092],"genre_scores_gemma":[0.89012676,0.0026043695,0.059222538,0.0012777979,0.00016419044,0.00035001215,0.00037190403,0.00030374684,0.045578677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99415004,0.0033658543,0.00028625823,0.0005155386,0.0011154957,0.0005668451],"domain_scores_gemma":[0.99496824,0.00212638,0.00027070267,0.0010626593,0.0006217702,0.00095033325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005766216,0.00035682705,0.00033387888,0.0038744758,0.010238474,0.0161388,0.0018417571,0.0030360492,0.0032117867],"category_scores_gemma":[0.0046572336,0.00055682583,0.0006228096,0.0043969806,0.04773523,0.0182619,0.0090761045,0.002857625,0.00043081352],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006562131,0.000020903273,0.00066252775,0.000034561555,0.000003861587,0.000193213,0.060930878,0.00021636496,0.00019603923,0.92789453,0.001280904,0.008559633],"study_design_scores_gemma":[0.000013557738,0.000020827378,0.0016102863,0.00027692944,0.000016375776,0.0007877411,0.0767365,0.0018242063,0.0004424845,0.44272384,0.47549847,0.000048836846],"about_ca_topic_score_codex":0.079056546,"about_ca_topic_score_gemma":0.06188436,"teacher_disagreement_score":0.079056546,"about_ca_system_score_codex":0.011367699,"about_ca_system_score_gemma":0.015398894,"threshold_uncertainty_score":0.15719283},"labels":[],"label_agreement":null},{"id":"W2531708430","doi":"","title":"A Statistical Analysis of Paleo-Climatic Data","year":2015,"lang":"en","type":"article","venue":"URSCA Proceedings","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Geology; Statistical analysis; Statistics; Mathematics","score_opus":0.0689896326037744,"score_gpt":0.30587705669248244,"score_spread":0.23688742408870805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531708430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36401457,0.0007314926,0.61772317,0.0007354215,0.00019997531,0.0002364258,0.007819718,0.003648522,0.004890606],"genre_scores_gemma":[0.83562934,0.00033796555,0.15581585,0.00006627224,0.00015174209,0.00020098093,0.0058615236,0.00046091044,0.0014754164],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971142,0.001225499,0.0002346551,0.0004188569,0.0008612642,0.00014554278],"domain_scores_gemma":[0.98933536,0.0060579455,0.00074218615,0.0015766582,0.002077563,0.00021028085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062219054,0.00045717516,0.00048471877,0.0049793534,0.00069089036,0.0015542442,0.00056656427,0.0002955198,0.0033227752],"category_scores_gemma":[0.016274514,0.00027492477,0.0013582432,0.005643586,0.0006058337,0.0008587779,0.0007872866,0.0005709512,0.0007783226],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079054467,0.00030282314,0.2818718,0.00034436642,0.0015675537,0.0005008901,0.00044560456,0.034178372,0.02762223,0.018917138,0.010533305,0.62292546],"study_design_scores_gemma":[0.000061007264,0.00076108,0.57885486,0.0000898699,0.0006626171,0.0008921505,0.0009415065,0.35950613,0.0147757605,0.022044236,0.021263616,0.00014714133],"about_ca_topic_score_codex":0.0043508345,"about_ca_topic_score_gemma":0.005144307,"teacher_disagreement_score":0.0062219054,"about_ca_system_score_codex":0.00050316,"about_ca_system_score_gemma":0.0014698382,"threshold_uncertainty_score":0.032904983},"labels":[],"label_agreement":null},{"id":"W2557877670","doi":"","title":"16th International Conference on Pattern Recognition (ICPR 2002), Quebec, August","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Operations research; Library science; Mathematics","score_opus":0.05195294185529989,"score_gpt":0.24503893077602704,"score_spread":0.19308598892072715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557877670","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03414944,0.04808532,0.33805174,0.01519732,0.028429303,0.00076695596,0.016069656,0.026112352,0.49313784],"genre_scores_gemma":[0.031455282,0.008910378,0.053979542,0.0006761045,0.00042318317,0.000111406596,0.010484138,0.0014593019,0.8925007],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936825,0.00006777628,0.000029171046,0.00010489,0.0002971621,0.00013277054],"domain_scores_gemma":[0.99881965,0.000048422247,0.000013896538,0.0001450842,0.0008894938,0.000083466904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013921612,0.0015324228,0.0013274843,0.001711177,0.0017702769,0.0033523412,0.0018016916,0.0012345267,0.13551523],"category_scores_gemma":[0.0014648492,0.00054344843,0.0007339686,0.0021225812,0.00083799136,0.0014009925,0.001049821,0.0011200006,0.05251762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016341358,0.00009407063,0.001725181,0.00013587935,0.0000442907,0.00014318117,0.000096096766,0.0013932762,0.0047437754,0.0041013393,0.5980994,0.38926008],"study_design_scores_gemma":[0.000028245722,0.000053558248,0.0058676866,0.000094178366,0.00006276211,0.0003504113,0.00024882692,0.014595815,0.0051567703,0.0023228729,0.971179,0.000039996652],"about_ca_topic_score_codex":0.58384377,"about_ca_topic_score_gemma":0.72623426,"teacher_disagreement_score":0.41615623,"about_ca_system_score_codex":0.004616723,"about_ca_system_score_gemma":0.008977407,"threshold_uncertainty_score":0.8372141},"labels":[],"label_agreement":null},{"id":"W2560708275","doi":"10.18733/c31g6g","title":"If I Had a Hammer: Wall Mural (Proofs)","year":2016,"lang":"en","type":"article","venue":"Cultural and Pedagogical Inquiry","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mural; Mathematical proof; Hammer; Calculus (dental); Geology; Mathematics; Geometry; Art; Engineering; Art history; Structural engineering; Painting","score_opus":0.40467829241706055,"score_gpt":0.4096194899517831,"score_spread":0.004941197534722552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560708275","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06584247,0.0017406022,0.0064933687,0.04881895,0.008116344,0.00023035087,0.0010058973,0.001149585,0.8666025],"genre_scores_gemma":[0.41111445,0.0009236497,0.0073097865,0.003982248,0.0006795148,0.000100338504,0.0005028853,0.0009635244,0.57442355],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979838,0.0005401561,0.000031488507,0.00013716347,0.0006715002,0.0006358406],"domain_scores_gemma":[0.99563843,0.0009908656,0.00016696652,0.00029327246,0.0011932007,0.0017173006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016103182,0.0010124033,0.0003016269,0.001399905,0.02383545,0.0074202907,0.0015334855,0.0032341671,0.048682425],"category_scores_gemma":[0.010983845,0.0003842291,0.0004602572,0.0008456442,0.00746949,0.0024940358,0.004054656,0.005703711,0.00633085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017472479,0.000060616767,0.0012032244,0.00013870263,0.0000140337,0.002643218,0.15643317,0.0002334513,0.0017024764,0.09445231,0.69921356,0.04373044],"study_design_scores_gemma":[0.00000768099,0.00001803239,0.0012188103,0.00012170907,0.000006714593,0.00046276092,0.05169346,0.000065240856,0.00063604204,0.0015119647,0.9442237,0.000033747434],"about_ca_topic_score_codex":0.47456482,"about_ca_topic_score_gemma":0.7986284,"teacher_disagreement_score":0.47456482,"about_ca_system_score_codex":0.017971024,"about_ca_system_score_gemma":0.013039593,"threshold_uncertainty_score":0.94360507},"labels":[],"label_agreement":null},{"id":"W2572446038","doi":"10.5281/zenodo.2552119","title":"Integrating Archaeological Datasets: the ARIADNE Portal.","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Archaeology; Computer science; Geology; Geography","score_opus":0.027092260166064818,"score_gpt":0.24011652367114233,"score_spread":0.21302426350507753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572446038","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030411486,0.0050061354,0.30273962,0.002417351,0.0010667932,0.0010652277,0.3449354,0.19944838,0.112909555],"genre_scores_gemma":[0.116250455,0.0025853636,0.24693397,0.000768622,0.00027788867,0.0010064206,0.59559095,0.010849149,0.025737192],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809057,0.00045732988,0.00022756035,0.00040274553,0.0006711027,0.00015064808],"domain_scores_gemma":[0.99610883,0.0008934141,0.00023048045,0.0017941477,0.00050096854,0.0004721108],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004335471,0.00086861395,0.0010762202,0.004541272,0.0007962476,0.005264659,0.0019005574,0.0014384168,0.025936686],"category_scores_gemma":[0.0065011363,0.0007015356,0.00079190196,0.005897073,0.00062492606,0.00565611,0.006992185,0.0016885583,0.016619084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002401016,0.0007445757,0.015902849,0.0036573433,0.00050534523,0.0018673879,0.0031288061,0.0050254217,0.017869111,0.06199218,0.49714452,0.3897614],"study_design_scores_gemma":[0.00009985812,0.000041444568,0.0045269923,0.00026259755,0.000047301444,0.0005988974,0.0006606621,0.0044052266,0.0031850715,0.01125859,0.9748439,0.000069467715],"about_ca_topic_score_codex":0.0033864153,"about_ca_topic_score_gemma":0.0037854952,"teacher_disagreement_score":0.99809945,"about_ca_system_score_codex":0.0005793784,"about_ca_system_score_gemma":0.002024362,"threshold_uncertainty_score":0.0867669},"labels":[],"label_agreement":null},{"id":"W2576101864","doi":"10.5281/zenodo.2552123","title":"Integrating Heterogeneous Coin Datasets in the Context of Archaeological Research.","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Context (archaeology); Computer science; Archaeology; Data science; Geography","score_opus":0.08569194403265883,"score_gpt":0.29509825173349286,"score_spread":0.20940630770083402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576101864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25084963,0.016706344,0.59598887,0.004979673,0.0013997926,0.0013126886,0.065213576,0.006247273,0.057302184],"genre_scores_gemma":[0.45300847,0.005793756,0.44133174,0.00053043454,0.00027751317,0.00077885296,0.09140962,0.0008917737,0.005977818],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941614,0.0022359458,0.00080886314,0.00094322127,0.0015866605,0.00026393557],"domain_scores_gemma":[0.9916432,0.0027989282,0.00063462515,0.002990727,0.0015924658,0.0003402039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006675277,0.0006160009,0.0010275338,0.016083311,0.0014911793,0.0067725056,0.001321712,0.0016969993,0.0028111448],"category_scores_gemma":[0.014420787,0.00041409384,0.0010636385,0.022578638,0.0010171288,0.0059190206,0.0062473128,0.0007947705,0.0013593134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011812467,0.00047389878,0.09343387,0.008807555,0.0015612597,0.006730724,0.013028874,0.021213124,0.050176732,0.12362355,0.035416912,0.64435214],"study_design_scores_gemma":[0.000070768685,0.00017979364,0.071832195,0.0025190318,0.00088983646,0.0043387953,0.029740978,0.04563697,0.039805,0.15591611,0.6487608,0.0003096614],"about_ca_topic_score_codex":0.0040388466,"about_ca_topic_score_gemma":0.009453881,"teacher_disagreement_score":0.016083311,"about_ca_system_score_codex":0.0012209069,"about_ca_system_score_gemma":0.0025973162,"threshold_uncertainty_score":0.03530264},"labels":[],"label_agreement":null},{"id":"W2583146987","doi":"","title":"Modulation of Sound by Sound… in Rocks?!","year":2016,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Los Alamos National Laboratory; National Nuclear Security Administration; U.S. Department of Energy","keywords":"Sound (geography); Modulation (music); Acoustics; Computer science; Physics","score_opus":0.01042188934630496,"score_gpt":0.2321599171709532,"score_spread":0.22173802782464824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583146987","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35946196,0.034169074,0.0450881,0.027247239,0.009291733,0.000058573616,0.00086830155,0.0022429216,0.5215721],"genre_scores_gemma":[0.8713499,0.0077369916,0.006874765,0.0013520179,0.00096225855,0.000025006166,0.00030480078,0.00026874855,0.111125514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999354,0.000010131853,0.0000025511722,0.000011545126,0.000027628574,0.000012781141],"domain_scores_gemma":[0.99991,0.000029185523,0.000010848179,0.000014876882,0.000020629188,0.000014457777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010481909,0.0001248949,0.00017887373,0.00029165242,0.0006517451,0.001288615,0.00028762277,0.00060299743,0.018974388],"category_scores_gemma":[0.000645748,0.00017792099,0.0001327549,0.0004299474,0.00075573684,0.0015001356,0.0005346536,0.00057674473,0.00391177],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010833774,0.0000562676,0.004960667,0.0016463904,0.000078886755,0.0015696324,0.0031558238,0.0039359904,0.17275676,0.13506925,0.2198511,0.4558359],"study_design_scores_gemma":[0.00014525857,0.00039086997,0.01884924,0.0007037277,0.00014474057,0.0033296237,0.006508957,0.014871513,0.08400832,0.12626195,0.74464303,0.00014268736],"about_ca_topic_score_codex":0.0013430179,"about_ca_topic_score_gemma":0.0018922602,"teacher_disagreement_score":0.018974388,"about_ca_system_score_codex":0.00027877468,"about_ca_system_score_gemma":0.00015173903,"threshold_uncertainty_score":0.06347567},"labels":[],"label_agreement":null},{"id":"W2591895184","doi":"10.1061/jtepbs.0000054","title":"Threshold Radius of a Ballasted CWR Curved Track: Curve Classification","year":2017,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Track (disk drive); RADIUS; Structural engineering; Engineering; Computer science; Mechanical engineering","score_opus":0.026562204736178555,"score_gpt":0.24471207735892642,"score_spread":0.21814987262274788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591895184","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.198841,0.0063731326,0.6803837,0.00044255354,0.00031499166,0.0006190501,0.0011537265,0.0035135418,0.10835827],"genre_scores_gemma":[0.8451264,0.0026593572,0.13388446,0.00008945828,0.00010009635,0.00023406472,0.0012407993,0.00042214867,0.01624309],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974955,0.00020881864,0.00035295743,0.00058801536,0.0011237662,0.00023097018],"domain_scores_gemma":[0.9970886,0.00043286275,0.00077398214,0.00033696435,0.0012203001,0.00014718625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085195317,0.00071334315,0.0005230869,0.0055879666,0.0009475166,0.00395651,0.0015749572,0.0013697696,0.004155342],"category_scores_gemma":[0.0038314243,0.00038226202,0.00071783306,0.0043735844,0.0019746856,0.0027195727,0.0010136666,0.0007431478,0.002112578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052431313,0.0001179812,0.042741172,0.002079396,0.000061005157,0.0010887233,0.002656816,0.075334534,0.055991843,0.1965883,0.012729302,0.6100866],"study_design_scores_gemma":[0.00006474605,0.0014640859,0.10036377,0.001147925,0.00023330608,0.008677627,0.0042354167,0.39283437,0.10339765,0.07197067,0.31484792,0.00076248514],"about_ca_topic_score_codex":0.0066078953,"about_ca_topic_score_gemma":0.004107393,"teacher_disagreement_score":0.0066078953,"about_ca_system_score_codex":0.0018449875,"about_ca_system_score_gemma":0.001219205,"threshold_uncertainty_score":0.013900995},"labels":[],"label_agreement":null},{"id":"W2594202358","doi":"10.1016/j.geoderma.2017.02.013","title":"Multifractal analysis of 3D images of tillage soil","year":2017,"lang":"en","type":"article","venue":"Geoderma","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Multifractal system; Tillage; Mathematics; Box counting; Geology; Fractal; Fractal dimension; Fractal analysis; Mathematical analysis","score_opus":0.011611288404738435,"score_gpt":0.2599297396354157,"score_spread":0.24831845123067728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594202358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7595976,0.000765646,0.23342553,0.00022887142,0.000040166284,0.000060304734,0.0014602649,0.0013876134,0.003033886],"genre_scores_gemma":[0.90896994,0.0004886352,0.08857322,0.0000237085,0.000029071985,0.000020544723,0.00071915507,0.00013859975,0.0010372439],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998871,0.000010670343,0.0000046648543,0.00001927916,0.00005372454,0.000024483754],"domain_scores_gemma":[0.9997255,0.000073407005,0.00004376065,0.00003427555,0.000104859275,0.000018217257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016811793,0.00026796677,0.00016928269,0.00273038,0.00018419334,0.00050092925,0.0001988605,0.00029516616,0.0018776075],"category_scores_gemma":[0.0005449581,0.00017649269,0.0003249215,0.001153403,0.00015875077,0.00036104923,0.00021385349,0.0002802727,0.00034846072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037558557,0.00013233813,0.011966479,0.00035745683,0.00008644707,0.0004333855,0.0005157158,0.045965668,0.6126615,0.002216993,0.002074324,0.32321408],"study_design_scores_gemma":[0.000019301766,0.000091589085,0.17402521,0.000039567014,0.0000902031,0.00109158,0.00039480266,0.7027995,0.11277916,0.0018765113,0.0067090113,0.00008359945],"about_ca_topic_score_codex":0.004261321,"about_ca_topic_score_gemma":0.0066487137,"teacher_disagreement_score":0.004261321,"about_ca_system_score_codex":0.00030740147,"about_ca_system_score_gemma":0.00034892693,"threshold_uncertainty_score":0.008473039},"labels":[],"label_agreement":null},{"id":"W2599676327","doi":"10.1017/aap.2017.2","title":"The Potential and Pitfalls of Large Multi-Source Collections","year":2017,"lang":"en","type":"article","venue":"Advances in Archaeological Practice","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Pottery; Archaeology; TRACE (psycholinguistics); Sample (material); Excavation; Provenance; History; Artifact (error); Computer science; Geology","score_opus":0.012015706708626235,"score_gpt":0.323312765787645,"score_spread":0.3112970590790188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599676327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43150264,0.016376842,0.38302353,0.04352816,0.0060817124,0.00643424,0.012056154,0.0024192615,0.098577544],"genre_scores_gemma":[0.6026779,0.004525775,0.35792974,0.0077365106,0.002058294,0.007647526,0.004205736,0.002164462,0.011054065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.8091246,0.10601525,0.013942717,0.01364115,0.054596,0.0026802854],"domain_scores_gemma":[0.57870173,0.2353203,0.03091847,0.08596586,0.06630966,0.002783943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.16072685,0.0014810122,0.0021099239,0.010506735,0.008074402,0.010121135,0.0060487343,0.0021996065,0.009517208],"category_scores_gemma":[0.29866484,0.0020548208,0.0014466005,0.018205747,0.009031167,0.00995661,0.012968213,0.0031147373,0.0029665725],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020679645,0.00075618725,0.19384931,0.0074676652,0.0021398861,0.004096199,0.09922398,0.0061206063,0.015432452,0.07306487,0.07144259,0.52433825],"study_design_scores_gemma":[0.00028150078,0.00060537027,0.22859387,0.01019602,0.00094158715,0.0067904084,0.10143531,0.009722177,0.019639425,0.13658579,0.48446375,0.000744719],"about_ca_topic_score_codex":0.009083291,"about_ca_topic_score_gemma":0.023966525,"teacher_disagreement_score":0.16072685,"about_ca_system_score_codex":0.003358538,"about_ca_system_score_gemma":0.005698524,"threshold_uncertainty_score":0.8500149},"labels":[],"label_agreement":null},{"id":"W2604043882","doi":"10.1038/nmeth.4239","title":"Tabular data","year":2017,"lang":"la","type":"article","venue":"Nature Methods","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Population; Computer science; Computational biology; Biology; Geography; Medicine","score_opus":0.10385044924237831,"score_gpt":0.5050060873720317,"score_spread":0.4011556381296534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604043882","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019642776,0.0003937527,0.010818127,0.0008026226,0.00085554505,0.00022414715,0.9234616,0.012065407,0.0494146],"genre_scores_gemma":[0.017166946,0.0008425491,0.023926891,0.00089256564,0.0002459338,0.0008564488,0.8945561,0.004690268,0.05682223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869907,0.00020703292,0.0001659943,0.0002839155,0.0004763917,0.00016771331],"domain_scores_gemma":[0.992826,0.002274483,0.00039449648,0.0020932585,0.0020844925,0.00032739967],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010801536,0.0012845986,0.0008491311,0.0045087994,0.0006563112,0.0033116778,0.0013801963,0.0011963852,0.49536827],"category_scores_gemma":[0.015328103,0.00048307993,0.0009020125,0.0074230162,0.00042826252,0.0024346933,0.0017309315,0.0012344221,0.37415177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036875,0.00009442535,0.0009029806,0.000663378,0.000018924335,0.00005354151,0.000062010746,0.0010454939,0.00097116234,0.0071627223,0.9087764,0.079880215],"study_design_scores_gemma":[0.000093717696,0.000040295257,0.0008121904,0.00021086805,0.000011804324,0.000077803394,0.00012692466,0.0019175299,0.0016393346,0.012266661,0.9827679,0.000034948614],"about_ca_topic_score_codex":0.004068213,"about_ca_topic_score_gemma":0.0035408393,"teacher_disagreement_score":0.49536827,"about_ca_system_score_codex":0.0009616219,"about_ca_system_score_gemma":0.001990112,"threshold_uncertainty_score":0.71979594},"labels":[],"label_agreement":null},{"id":"W2607500757","doi":"10.24916/iansa.2015.1.1","title":"De-constructing Terracotta Female Figurines: a Chalcolithic Case-study","year":2015,"lang":"en","type":"article","venue":"Interdisciplinaria Archaeologica - Natural Sciences in Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; Univerzita Karlova v Praze","keywords":"Terracotta; Section (typography); Archaeology; Prehistory; Geology; Geography; Art; Computer science","score_opus":0.047073622148837445,"score_gpt":0.3415302490072483,"score_spread":0.2944566268584109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607500757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886318,0.0010797941,0.0014159671,0.00020046662,0.00003090358,0.00006338523,0.00010646275,0.00001308032,0.008458191],"genre_scores_gemma":[0.9898694,0.00085118826,0.0030324536,0.000093544986,0.000025421288,0.000022611866,0.00011404283,0.000016775739,0.0059745335],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.99966526,0.00007587317,0.000022023547,0.000093969145,0.0000746095,0.00006831487],"domain_scores_gemma":[0.9996828,0.0000987209,0.00007287996,0.00006996675,0.000029039089,0.00004650011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029082553,0.0006650894,0.00027646666,0.0017255807,0.0016226092,0.00085514376,0.0009953186,0.0015728298,0.004228868],"category_scores_gemma":[0.0016341226,0.0003585653,0.0002986578,0.00091527577,0.0023943412,0.00047033254,0.0009443626,0.0006366091,0.0006644983],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003057839,0.00032093422,0.13041234,0.00083802844,0.000072397546,0.66008687,0.09069854,0.0016675416,0.01790893,0.007283637,0.0022733598,0.088131584],"study_design_scores_gemma":[0.00000659039,0.00024379865,0.07246167,0.00022557152,0.000045599845,0.85491335,0.028711515,0.00043105203,0.0046267062,0.0008095063,0.03747583,0.000048861017],"about_ca_topic_score_codex":0.0070811645,"about_ca_topic_score_gemma":0.02432959,"teacher_disagreement_score":0.0070811645,"about_ca_system_score_codex":0.0010140564,"about_ca_system_score_gemma":0.00059687323,"threshold_uncertainty_score":0.014146924},"labels":[],"label_agreement":null},{"id":"W2612017324","doi":"10.3390/s17051076","title":"A Study of Pattern Prediction in the Monitoring Data of Earthen Ruins with the Internet of Things","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Key Science and Technology Program of Shaanxi Province; Education Department of Shaanxi Province; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Rammed earth; Pruning; Sequence (biology); Air temperature; Computer science; Tree (set theory); Geotechnical engineering; Geology; Mathematics; Atmospheric sciences","score_opus":0.04735966214753661,"score_gpt":0.2814200424860028,"score_spread":0.23406038033846616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612017324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8349232,0.001652666,0.15619577,0.00079812645,0.0001305949,0.0001698406,0.0026757608,0.00048324082,0.002970796],"genre_scores_gemma":[0.9437768,0.0007441538,0.051750045,0.00006397079,0.00004282983,0.00007267778,0.002809331,0.000021480582,0.0007186896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885094,0.00018195846,0.00014084842,0.00036804497,0.00036321097,0.00009496206],"domain_scores_gemma":[0.99668175,0.0017450044,0.00054710684,0.0003694782,0.0005642473,0.00009239113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011666107,0.00052075,0.0005227074,0.001956487,0.0004734976,0.00078150834,0.000626213,0.00044719563,0.00038321118],"category_scores_gemma":[0.0054589873,0.00019909863,0.00068432523,0.0028899836,0.00032490946,0.001272158,0.00034818292,0.00055148033,0.00012202648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059187354,0.00041137036,0.46111172,0.0010120024,0.00045587888,0.004788697,0.00096919155,0.12776746,0.019480478,0.0064854315,0.0061267996,0.3707991],"study_design_scores_gemma":[0.000014642081,0.00018958193,0.12585066,0.00007264823,0.00012658241,0.0017019666,0.00069175905,0.8520554,0.00964967,0.004827714,0.0047807703,0.00003853457],"about_ca_topic_score_codex":0.006795388,"about_ca_topic_score_gemma":0.008549669,"teacher_disagreement_score":0.006795388,"about_ca_system_score_codex":0.0004358684,"about_ca_system_score_gemma":0.0005154268,"threshold_uncertainty_score":0.013511658},"labels":[],"label_agreement":null},{"id":"W2614419015","doi":"","title":"Some Comments on Soil Surveying in Canada1","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Geology; Soil science; Hydrology (agriculture); Geography; Forestry; Geotechnical engineering","score_opus":0.010241346241149625,"score_gpt":0.2057991283392402,"score_spread":0.19555778209809058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614419015","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004218113,0.0069903824,0.0006717836,0.9002547,0.063010156,0.00007303733,0.0010456793,0.00014939398,0.023586703],"genre_scores_gemma":[0.019477855,0.007236783,0.0013501032,0.82623607,0.024647595,0.000067221976,0.0005473759,0.00025202194,0.120184995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941479,0.0005364894,0.00045602358,0.0005657057,0.0031405743,0.0011533167],"domain_scores_gemma":[0.9717667,0.0051199687,0.0007812344,0.00040620266,0.018890597,0.003035229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00414584,0.00093838107,0.00063944946,0.0016201,0.009323978,0.004120265,0.0032717213,0.017598461,0.017922925],"category_scores_gemma":[0.024000153,0.0006348998,0.0011379382,0.0031697059,0.0030184458,0.002163522,0.0016702095,0.013198728,0.0041927407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059259164,0.000013951932,0.0017738907,0.00016872077,0.00001140371,0.00061239686,0.0007977874,0.00020053214,0.0006887337,0.00083081896,0.98658586,0.008256686],"study_design_scores_gemma":[0.000010456549,0.000017682498,0.004719798,0.00021083334,0.000013505428,0.00022665261,0.0022751302,0.000097390635,0.00033344448,0.00026619137,0.9917721,0.000056772198],"about_ca_topic_score_codex":0.90378404,"about_ca_topic_score_gemma":0.9371627,"teacher_disagreement_score":0.09621596,"about_ca_system_score_codex":0.026911268,"about_ca_system_score_gemma":0.03098547,"threshold_uncertainty_score":0.19525582},"labels":[],"label_agreement":null},{"id":"W2616932322","doi":"10.16995/dm.49","title":"The advantages and disadvantages of digital reconstruction and Anglo-Saxon manuscripts","year":2013,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Poetry; Prayer; Class (philosophy); Computer science; Art; History; Visual arts; Literature; Philosophy; Artificial intelligence; Theology","score_opus":0.007202977257933055,"score_gpt":0.2151257625400148,"score_spread":0.20792278528208175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616932322","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13693139,0.06616574,0.047791146,0.041149117,0.0030889977,0.00010867646,0.00017576691,0.00041801267,0.70417124],"genre_scores_gemma":[0.79970485,0.033971116,0.054426584,0.004744218,0.0020683699,0.00008466025,0.00009825257,0.0004555231,0.1044465],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954377,0.0020934418,0.00031732745,0.00029960013,0.0016803207,0.00017169905],"domain_scores_gemma":[0.99392456,0.003221218,0.00041196705,0.001638755,0.00059955084,0.00020400074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052495454,0.00034888237,0.00020773726,0.0016061447,0.0032224855,0.00971625,0.0009929012,0.0012440787,0.012438361],"category_scores_gemma":[0.008597792,0.00031788464,0.00033432004,0.0019565271,0.0066583706,0.005114928,0.004766327,0.0015964137,0.0022853874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036748825,0.00005751713,0.003696394,0.0010561525,0.000044172943,0.0014524474,0.021621948,0.00075973786,0.0038089885,0.37490785,0.017880863,0.5743465],"study_design_scores_gemma":[0.0000338823,0.00016492339,0.006047116,0.0012349982,0.000055285527,0.010236318,0.021007853,0.00077364524,0.0044381353,0.06855281,0.88738346,0.00007156212],"about_ca_topic_score_codex":0.0012032756,"about_ca_topic_score_gemma":0.004441821,"teacher_disagreement_score":0.012438361,"about_ca_system_score_codex":0.0011195377,"about_ca_system_score_gemma":0.00086395524,"threshold_uncertainty_score":0.04161042},"labels":[],"label_agreement":null},{"id":"W2616944770","doi":"10.16995/dm.61","title":"Clustering of medieval scripts through computer image analysis: Towards an evaluation protocol","year":2015,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scripting language; Categorization; Metadata; Cluster analysis; Computer science; Taxonomy (biology); Tel aviv; Information retrieval; Natural language processing; Artificial intelligence; Library science; World Wide Web; Programming language","score_opus":0.06378419569642199,"score_gpt":0.34547483018094804,"score_spread":0.281690634484526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616944770","genre_codex":"protocol","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.294016,0.0009047891,0.32828656,0.001170433,0.00035234605,0.3401735,0.013493369,0.002590149,0.019012807],"genre_scores_gemma":[0.25368062,0.00049489917,0.30111316,0.00037395733,0.0001304859,0.4211798,0.018959632,0.00056231464,0.0035050244],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.852102,0.09619451,0.017178852,0.0068979394,0.025721079,0.0019056066],"domain_scores_gemma":[0.75712943,0.083725,0.017515717,0.02757626,0.11027634,0.0037772243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.13297515,0.0018076305,0.0012764223,0.0066367104,0.0030320566,0.0045327414,0.0046119816,0.00290355,0.005019287],"category_scores_gemma":[0.22146367,0.0011025207,0.0015349056,0.0052215895,0.004446374,0.0036242744,0.006245087,0.0015080129,0.0030650264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016852338,0.012916984,0.06996212,0.009455203,0.001008494,0.000811698,0.020932559,0.03519266,0.028255736,0.019563548,0.03939265,0.745656],"study_design_scores_gemma":[0.009294552,0.030614251,0.28117985,0.007031205,0.00198235,0.0014362526,0.036686342,0.2032111,0.16194727,0.033216577,0.23188093,0.0015192935],"about_ca_topic_score_codex":0.0047520213,"about_ca_topic_score_gemma":0.004311432,"teacher_disagreement_score":0.13297515,"about_ca_system_score_codex":0.0065115304,"about_ca_system_score_gemma":0.008473461,"threshold_uncertainty_score":0.7032482},"labels":[],"label_agreement":null},{"id":"W2617918738","doi":"10.16995/dm.25","title":"Image Acquisition &amp; Processing Routines for Damaged Manuscripts","year":2011,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decipherment; Computer science; Artificial intelligence; Optical character recognition; Character (mathematics); Document processing; Computer graphics (images); Image processing; Computer vision; Document image processing; Natural language processing; Pattern recognition (psychology); Information retrieval; Image (mathematics); Image segmentation; Linguistics","score_opus":0.0464016831851975,"score_gpt":0.2606903526211621,"score_spread":0.21428866943596458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617918738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010813801,0.0005834601,0.93346995,0.00019813677,0.00014724823,0.0006984685,0.0021409774,0.046457864,0.0054901093],"genre_scores_gemma":[0.026230546,0.0004698189,0.9542011,0.00025222744,0.00008471151,0.0017091313,0.0029594237,0.0060305283,0.00806245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993393,0.000072554474,0.00009173372,0.00019720565,0.00022688211,0.000072380935],"domain_scores_gemma":[0.9983541,0.0005169525,0.00012956774,0.00038764207,0.0005308544,0.000080934486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010687114,0.0014414095,0.000988441,0.003588131,0.00085540535,0.0014259631,0.0016769847,0.0010035005,0.04559292],"category_scores_gemma":[0.0032585722,0.0008254152,0.0006488857,0.0016956514,0.00048097686,0.0011866457,0.0010732599,0.0013147396,0.029266855],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006625619,0.00012567989,0.0013766866,0.0010605137,0.00006258459,0.00085202395,0.00088281283,0.0020737075,0.27868694,0.0031920308,0.030834787,0.68018967],"study_design_scores_gemma":[0.00017867974,0.0004395213,0.014339514,0.00029317325,0.00015855047,0.0045012855,0.00056096894,0.06826748,0.5407105,0.0077927485,0.36244556,0.00031203966],"about_ca_topic_score_codex":0.00070958585,"about_ca_topic_score_gemma":0.00091649493,"teacher_disagreement_score":0.04559292,"about_ca_system_score_codex":0.00042945813,"about_ca_system_score_gemma":0.0006009074,"threshold_uncertainty_score":0.15252358},"labels":[],"label_agreement":null},{"id":"W2626856863","doi":"","title":"Learning Patch-based Structural Element Models with Hierarchical Palettes","year":2012,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Element (criminal law); Computer science; Artificial intelligence","score_opus":0.012571111780597204,"score_gpt":0.27939830664972476,"score_spread":0.26682719486912754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626856863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040992055,0.0002336715,0.95644426,0.00026298538,0.00002886472,0.000034981917,0.00015108808,0.00062675774,0.001225323],"genre_scores_gemma":[0.6636333,0.00047065664,0.32479155,0.0004229471,0.00012591599,0.0001971547,0.0014945237,0.00038886894,0.008475116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997179,0.00007189814,0.000009417348,0.000099345154,0.00007012419,0.00003134605],"domain_scores_gemma":[0.9992436,0.0003886005,0.00007337694,0.00014764875,0.000091347305,0.000055447334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073464535,0.0006579019,0.0011962673,0.0008356773,0.00024395238,0.0012109107,0.0019442812,0.001773108,0.0022018023],"category_scores_gemma":[0.0021152766,0.00093644025,0.0015658396,0.00065410446,0.001025506,0.002066401,0.0011184238,0.0019377798,0.00097312964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014886864,0.00008713195,0.0013636744,0.000066340246,0.00007877145,0.000060309318,0.00009790858,0.8960083,0.0072816536,0.025212035,0.0027645489,0.06683059],"study_design_scores_gemma":[0.000003268361,0.0000067456062,0.000039452978,0.0000018214673,0.0000017140665,0.0000069749576,0.0000022214651,0.9960367,0.00020698494,0.0035725425,0.00011960237,0.0000020635482],"about_ca_topic_score_codex":0.0025333648,"about_ca_topic_score_gemma":0.004116719,"teacher_disagreement_score":0.0025333648,"about_ca_system_score_codex":0.0007956681,"about_ca_system_score_gemma":0.00043483748,"threshold_uncertainty_score":0.007365763},"labels":[],"label_agreement":null},{"id":"W2661246919","doi":"","title":"Evaluation of a Mobile Platform for Proof-of-concept Autonomous Site Selection and Preparation","year":2010,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proof of concept; Selection (genetic algorithm); Computer science; Engineering; Data science; Systems engineering; Artificial intelligence; Operating system","score_opus":0.005174224835235908,"score_gpt":0.195722766529461,"score_spread":0.19054854169422508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2661246919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80772865,0.0007064722,0.16932754,0.00058101956,0.00053317175,0.0030007765,0.00076494913,0.0035990123,0.013758392],"genre_scores_gemma":[0.8134899,0.00044586085,0.16996709,0.00019450078,0.000036214347,0.0010223781,0.0008006873,0.00020617782,0.013837201],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992619,0.00007364019,0.000021472293,0.000078802426,0.00044893398,0.00011519961],"domain_scores_gemma":[0.9991543,0.0001179251,0.00005994796,0.00009800025,0.00039232898,0.00017753408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001272023,0.00062865455,0.00042566765,0.0005541278,0.00037311652,0.00069326843,0.0012264631,0.000869449,0.0030967025],"category_scores_gemma":[0.0014040653,0.00022307517,0.00027136126,0.00021396343,0.00043787944,0.00068499474,0.0005834317,0.0005069492,0.0011459161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014229915,0.0010771282,0.00459617,0.00087128946,0.00009405956,0.0019510469,0.0007065233,0.021685293,0.7833934,0.004083936,0.006405023,0.17371309],"study_design_scores_gemma":[0.00070051267,0.023589592,0.018349683,0.00020971854,0.00018824181,0.0018864052,0.0010666986,0.106577225,0.7318533,0.0009662789,0.11445624,0.00015615637],"about_ca_topic_score_codex":0.0015559582,"about_ca_topic_score_gemma":0.0018779455,"teacher_disagreement_score":0.0030967025,"about_ca_system_score_codex":0.0004630666,"about_ca_system_score_gemma":0.0009669569,"threshold_uncertainty_score":0.010359466},"labels":[],"label_agreement":null},{"id":"W2720739280","doi":"10.33137/aestimatio.v9i0.26005","title":"Ancient Computers: Part I. Rediscovery","year":2015,"lang":"en","type":"article","venue":"Aestimatio Sources and Studies in the History of Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Geology; Archaeology; History","score_opus":0.09347112705424199,"score_gpt":0.291839848352489,"score_spread":0.198368721298247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2720739280","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02137618,0.5230904,0.010834465,0.023406366,0.0044002356,0.00005886868,0.00034133918,0.00015273468,0.41633925],"genre_scores_gemma":[0.35882697,0.36113286,0.008413307,0.008180644,0.007455294,0.000125011,0.00038740845,0.00039407407,0.25508437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990613,0.0002920209,0.00006358576,0.00019131867,0.00030970387,0.00008215215],"domain_scores_gemma":[0.9975491,0.0013297204,0.0001720844,0.000384205,0.00047757596,0.000087348555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013074023,0.00069122063,0.00036470426,0.003157482,0.0019208695,0.005024999,0.00081644516,0.0017265939,0.012445802],"category_scores_gemma":[0.004261111,0.00047096555,0.000248227,0.0031842312,0.011288569,0.0072850795,0.0021236907,0.002537641,0.0042481455],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001565851,0.00004483582,0.000916199,0.0016838314,0.000024250374,0.00029317237,0.0075480067,0.00039553043,0.0011571087,0.6934217,0.03734713,0.25701168],"study_design_scores_gemma":[0.000009557787,0.00002965939,0.0014420068,0.0007521612,0.000007670924,0.00065270014,0.00095837837,0.0002025866,0.0011046665,0.059367143,0.93545705,0.000016505937],"about_ca_topic_score_codex":0.0021352018,"about_ca_topic_score_gemma":0.0022518977,"teacher_disagreement_score":0.012445802,"about_ca_system_score_codex":0.0031970066,"about_ca_system_score_gemma":0.0012469491,"threshold_uncertainty_score":0.041635394},"labels":[],"label_agreement":null},{"id":"W2737886204","doi":"","title":"Development of a Methodology for the Automatic Construction of Discontinuity Trace Maps Based on Digital Images","year":2000,"lang":"en","type":"article","venue":"4th North American Rock Mechanics Symposium","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"TRACE (psycholinguistics); Computer science; Discontinuity (linguistics); Computer vision; Artificial intelligence; Computer graphics (images); Engineering drawing; Engineering; Mathematics","score_opus":0.015569551263958266,"score_gpt":0.24671551634404937,"score_spread":0.2311459650800911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737886204","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048814245,0.00000952157,0.9989667,0.0000054519433,0.000004848777,0.00001933833,0.000013169938,0.00039585982,0.00009695602],"genre_scores_gemma":[0.012956014,0.000044293065,0.98626375,0.0000089070945,0.000008565975,0.000060001254,0.00010457281,0.00012752831,0.00042637132],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927646,0.00007726435,0.000050088882,0.00013445129,0.00040948778,0.00005231159],"domain_scores_gemma":[0.99832565,0.0005237795,0.00012448282,0.00028545674,0.0006749013,0.00006575787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009223563,0.000889888,0.00090467045,0.0029932286,0.00060075906,0.0021123446,0.0025744971,0.0011476016,0.003869523],"category_scores_gemma":[0.0041763997,0.0009140766,0.0009770343,0.0015930489,0.000773776,0.0014313407,0.001655315,0.0016728546,0.0021543754],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000725136,0.00012886895,0.0009798453,0.00034902492,0.0000960063,0.00024871712,0.00024439732,0.032601792,0.09812389,0.03314536,0.0026701603,0.8313394],"study_design_scores_gemma":[0.000036635298,0.00013959261,0.0011107214,0.000054312986,0.00005893842,0.0006244477,0.00010003587,0.8594962,0.099985495,0.022033261,0.016296329,0.000064046035],"about_ca_topic_score_codex":0.0023430276,"about_ca_topic_score_gemma":0.0024704435,"teacher_disagreement_score":0.003869523,"about_ca_system_score_codex":0.00037827282,"about_ca_system_score_gemma":0.0012590513,"threshold_uncertainty_score":0.012944877},"labels":[],"label_agreement":null},{"id":"W2746272872","doi":"10.5194/isprs-annals-iv-2-w2-303-2017","title":"UNFOLDING LEONARDO DA VINCI’S GLOBE (AD 1504) TO REVEAL ITS HISTORICAL WORLD MAP","year":2017,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Globe; Extant taxon; Engraving; Art; Cartography; Visual arts; Art history; Geography; Biology","score_opus":0.06456422681650911,"score_gpt":0.31913593368963433,"score_spread":0.25457170687312525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746272872","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41981724,0.0018756031,0.03078512,0.0016261376,0.00061485014,0.000092461305,0.002973542,0.0011434283,0.54107165],"genre_scores_gemma":[0.8554392,0.0013071352,0.040009934,0.00014059634,0.00007573466,0.000040750994,0.0023430248,0.00080668926,0.099836834],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99991965,0.0000113341,0.0000016642572,0.000018788935,0.000037049384,0.000011419933],"domain_scores_gemma":[0.99992514,0.000015815302,0.000007737258,0.0000201118,0.000019012763,0.000012112409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013112291,0.00022276209,0.000082491184,0.0012954317,0.000727662,0.001152952,0.00016534711,0.00027502677,0.0079994975],"category_scores_gemma":[0.0005189768,0.00009186512,0.00014214504,0.00092715566,0.00087318337,0.00048866647,0.0009578929,0.00038742277,0.0013985784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021834708,0.00004145035,0.032508906,0.0003924435,0.00007284621,0.007192362,0.052139252,0.013704111,0.042090327,0.12451812,0.102985345,0.6241365],"study_design_scores_gemma":[0.000004164028,0.00004626168,0.04959101,0.00014530511,0.000018441506,0.00146406,0.005301913,0.0024300388,0.004890317,0.0044676634,0.9316039,0.000036927937],"about_ca_topic_score_codex":0.03456108,"about_ca_topic_score_gemma":0.11298336,"teacher_disagreement_score":0.03456108,"about_ca_system_score_codex":0.0010108482,"about_ca_system_score_gemma":0.00064836023,"threshold_uncertainty_score":0.068719804},"labels":[],"label_agreement":null},{"id":"W2750018047","doi":"","title":"Annotation-based enrichment of Digital Objects using open-source frameworks","year":2017,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Open source; Annotation; Computer science; Computational biology; Biology; Artificial intelligence; Programming language; Software","score_opus":0.01903607831923463,"score_gpt":0.26397032447924923,"score_spread":0.2449342461600146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750018047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040318887,0.00018193218,0.95099974,0.00027408687,0.00010075007,0.00026792154,0.0009797033,0.033536248,0.009627714],"genre_scores_gemma":[0.060884103,0.00059688825,0.9019198,0.00030562773,0.000090127556,0.0006643869,0.010301046,0.013644346,0.011593745],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99566984,0.00071936677,0.0004912659,0.00079406495,0.0019404648,0.00038494758],"domain_scores_gemma":[0.99081576,0.0019614138,0.000429988,0.0042122914,0.00209851,0.00048207582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008118912,0.0016176114,0.0011184136,0.007834837,0.0031230634,0.0067479676,0.004409707,0.0018836762,0.0059985323],"category_scores_gemma":[0.013171318,0.0011154781,0.0026858759,0.004987177,0.0027740544,0.008352077,0.012031603,0.0028780156,0.004559374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005304803,0.0005383251,0.0073111495,0.0016325068,0.00024330949,0.002339761,0.008753798,0.021689093,0.05801311,0.29619768,0.07109159,0.5316592],"study_design_scores_gemma":[0.000069427304,0.00006650931,0.0034482572,0.00066135795,0.00012844849,0.00084861263,0.0013661038,0.12767836,0.068299904,0.119013615,0.678083,0.00033645914],"about_ca_topic_score_codex":0.01999005,"about_ca_topic_score_gemma":0.03065236,"teacher_disagreement_score":0.01999005,"about_ca_system_score_codex":0.002962709,"about_ca_system_score_gemma":0.004117611,"threshold_uncertainty_score":0.042937398},"labels":[],"label_agreement":null},{"id":"W2756408763","doi":"10.2514/6.2017-5308","title":"Spacecraft Component Recognition using a Codebook of Texton Images","year":2017,"lang":"en","type":"article","venue":"AIAA SPACE and Astronautics Forum and Exposition","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Neptec Design Group (Canada); Carleton University","funders":"","keywords":"Codebook; Computer science; Component (thermodynamics); Artificial intelligence; Pattern recognition (psychology); Speech recognition; Physics","score_opus":0.01745222654654331,"score_gpt":0.2522090766716704,"score_spread":0.23475685012512712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756408763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065082684,0.00062497804,0.9213709,0.00022843064,0.00045976127,0.00021328576,0.0021100133,0.0035444836,0.0063653784],"genre_scores_gemma":[0.49950036,0.00085951114,0.46755043,0.00024556834,0.00019530253,0.00022838048,0.009320947,0.00045361224,0.021645846],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977607,0.000019164581,0.000011967022,0.000069820635,0.00008377174,0.000039216062],"domain_scores_gemma":[0.9996846,0.00003917061,0.00001802122,0.00007555194,0.00015701765,0.000025659429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018241043,0.00071347435,0.000601103,0.0011675268,0.00045438303,0.0007706731,0.0007565125,0.000721274,0.0048491703],"category_scores_gemma":[0.0010572684,0.00024034684,0.00047681533,0.00165894,0.00027075293,0.0006749327,0.00060347555,0.00070219685,0.0027142225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009661172,0.00017278895,0.0018468632,0.0001874451,0.000054816588,0.0002360549,0.00007966758,0.032809667,0.113188475,0.005921446,0.019291507,0.82524526],"study_design_scores_gemma":[0.00007770243,0.0002454392,0.005587692,0.000049471237,0.00006820133,0.00049270916,0.00015216852,0.8703656,0.09677044,0.0053481394,0.02078578,0.000056712346],"about_ca_topic_score_codex":0.008482476,"about_ca_topic_score_gemma":0.012863372,"teacher_disagreement_score":0.008482476,"about_ca_system_score_codex":0.00042457404,"about_ca_system_score_gemma":0.0010305346,"threshold_uncertainty_score":0.016866207},"labels":[],"label_agreement":null},{"id":"W2757258967","doi":"","title":"Godin Period VI Comparative Pottery Table","year":2011,"lang":"en","type":"dataset","venue":"TSpace","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pottery; Period (music); Table (database); Archaeology; Geography; Art; Computer science; Database; Aesthetics","score_opus":0.04423935737724003,"score_gpt":0.3160696911447173,"score_spread":0.27183033376747723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757258967","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012310063,0.00015701776,0.000082750834,0.00005464965,0.000038822913,0.000016775432,0.9955096,0.00030265242,0.0026067826],"genre_scores_gemma":[0.0012876092,0.000054122655,0.00031521104,0.000020757436,0.0000060211687,0.000037557336,0.9969988,0.00003787841,0.0012420593],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995572,0.000046874033,0.000032336837,0.00014671226,0.00013546905,0.00008139448],"domain_scores_gemma":[0.99945754,0.00008275795,0.00005166631,0.00013530267,0.00019773579,0.0000749036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197058,0.0016442365,0.0009614002,0.002877211,0.0010176925,0.0015248501,0.0019819462,0.0013119421,0.044435117],"category_scores_gemma":[0.0014661856,0.00036964283,0.0008281072,0.0049798777,0.00032636916,0.00082635134,0.001180123,0.0012812427,0.05370227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074747855,0.000039088,0.0015582648,0.00036416468,0.000019594887,0.000050035338,0.0000334267,0.00028600983,0.00024396503,0.0005587076,0.9915507,0.005221303],"study_design_scores_gemma":[0.00007482645,0.000017605727,0.010164413,0.00013443262,0.00001569471,0.000101514845,0.00017879269,0.0005465074,0.0005128976,0.00054885686,0.98768485,0.000019540206],"about_ca_topic_score_codex":0.029069599,"about_ca_topic_score_gemma":0.09051931,"teacher_disagreement_score":0.044435117,"about_ca_system_score_codex":0.001427472,"about_ca_system_score_gemma":0.0013491156,"threshold_uncertainty_score":0.14865029},"labels":[],"label_agreement":null},{"id":"W2760104456","doi":"","title":"Transforming the NPS Digital Experience: Media Outreach to Serve Public Archaeology at Fort Vancouver","year":2016,"lang":"en","type":"article","venue":"Society for Historical Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outreach; Archaeology; Library science; Media studies; History; Political science; Sociology; Computer science; Law","score_opus":0.02015466010639016,"score_gpt":0.23666609604137362,"score_spread":0.21651143593498345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760104456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68407,0.0008531931,0.0018808172,0.028239336,0.0006098476,0.00021203271,0.00024713116,0.00023597325,0.28365168],"genre_scores_gemma":[0.7508278,0.0009740716,0.0025638002,0.0019614978,0.00007480887,0.00009170784,0.00010558478,0.00017346903,0.24322721],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993094,0.00020318324,0.000010807679,0.00005806659,0.00013723662,0.0002812308],"domain_scores_gemma":[0.99764293,0.00026012873,0.0000459394,0.00008434598,0.00044165927,0.001524902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085994106,0.00029871278,0.00018373605,0.000732212,0.026057905,0.006202121,0.001161073,0.0014084184,0.025672467],"category_scores_gemma":[0.0022964957,0.00029552684,0.00010950723,0.00090732053,0.0031707317,0.0014440137,0.0065994463,0.002533449,0.0015728058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002366788,0.0005295747,0.024973959,0.00026207638,0.00001656214,0.006773939,0.5501547,0.00041695373,0.007745305,0.014070044,0.11099991,0.28382024],"study_design_scores_gemma":[0.000010439836,0.00008045878,0.008613458,0.00011416887,0.000007541005,0.00047132923,0.5008576,0.00022933497,0.000653792,0.0011429235,0.48779857,0.000020435938],"about_ca_topic_score_codex":0.58751684,"about_ca_topic_score_gemma":0.93464553,"teacher_disagreement_score":0.58751684,"about_ca_system_score_codex":0.010853869,"about_ca_system_score_gemma":0.034249853,"threshold_uncertainty_score":0.8298247},"labels":[],"label_agreement":null},{"id":"W2766105330","doi":"","title":"Raplot, a Computer Program for Data Processing and Graphical Display for Radioisotopic Sand Tracer Study","year":2017,"lang":"en","type":"book","venue":"US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; Canada Excellence Research Chairs, Government of Canada; National Aeronautics and Space Administration","keywords":"TRACER; Computer science; Computer graphics (images); Hydrology (agriculture); Geology; Physics; Geotechnical engineering; Nuclear physics","score_opus":0.1007900921860839,"score_gpt":0.36323437740259035,"score_spread":0.2624442852165064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766105330","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026767931,0.0018072982,0.5773196,0.00037844086,0.0006520411,0.0011939066,0.028057195,0.15574193,0.23217271],"genre_scores_gemma":[0.010528482,0.002608676,0.3545671,0.00066505634,0.00031814867,0.00240158,0.04554446,0.03837541,0.54499114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961615,0.00004339776,0.00002446363,0.000091786096,0.0002049923,0.000019242052],"domain_scores_gemma":[0.99912375,0.00031002203,0.000031797517,0.00013070271,0.00035862217,0.000045066117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005664166,0.001249153,0.00087801565,0.0016980576,0.00039302613,0.0013251941,0.0013536033,0.00045829915,0.20472589],"category_scores_gemma":[0.0016698694,0.00067719776,0.0003770244,0.0017672721,0.00022054727,0.001962118,0.000673298,0.0012426742,0.1405464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015376463,0.00004764251,0.00024884002,0.00044636073,0.000015001449,0.00014231622,0.00008109459,0.0010737128,0.00832452,0.006337226,0.71997565,0.26315388],"study_design_scores_gemma":[0.00004754413,0.000048570288,0.00077309716,0.00009217452,0.00001751832,0.00037664396,0.000016246637,0.007211203,0.008172595,0.0020961436,0.98111993,0.000028379665],"about_ca_topic_score_codex":0.0012490014,"about_ca_topic_score_gemma":0.0018989868,"teacher_disagreement_score":0.20472589,"about_ca_system_score_codex":0.00051126763,"about_ca_system_score_gemma":0.0007178461,"threshold_uncertainty_score":0.6848763},"labels":[],"label_agreement":null},{"id":"W2778282648","doi":"10.29173/comp32","title":"Identification of a Palaeoindian occupation in compressed stratigraphy: A case study from Ahai Mneh (FiPp-33)","year":2017,"lang":"en","type":"article","venue":"COMPASS","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Projectile point; Stratigraphy; Archaeology; Identification (biology); Geology; Point (geometry); Geography; Assemblage (archaeology); Paleontology; History; Physical geography; Ecology","score_opus":0.026363095955960137,"score_gpt":0.3041853488538588,"score_spread":0.27782225289789864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778282648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979006,0.00006773337,0.00029629166,0.00007857681,0.000002647401,0.000025926045,0.000061164355,0.0000041427306,0.0015629368],"genre_scores_gemma":[0.9967417,0.00016085141,0.0012013966,0.000041112096,0.00000503599,0.0000074570908,0.000090746216,0.0000071966538,0.0017445494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997247,0.00004790495,0.000013946454,0.000043523625,0.00009739347,0.00007253098],"domain_scores_gemma":[0.9996437,0.0000995958,0.00006514452,0.00004345623,0.00007025178,0.00007771686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003683743,0.0003259811,0.00017103335,0.001665579,0.0025269804,0.0009777904,0.00080260274,0.00077524653,0.0013231328],"category_scores_gemma":[0.0010361006,0.00036995203,0.00014316374,0.002352577,0.001846939,0.00036875345,0.0010505815,0.00066200434,0.00024402543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019232549,0.0003691373,0.55798894,0.00020003322,0.00004812752,0.10914408,0.25071526,0.00068762695,0.01672056,0.0015842511,0.0012789696,0.061070632],"study_design_scores_gemma":[0.000008442293,0.00019021292,0.75478214,0.00008928756,0.000054975797,0.029956287,0.19887213,0.001016677,0.0034573183,0.00034475283,0.011190121,0.000037681755],"about_ca_topic_score_codex":0.21144176,"about_ca_topic_score_gemma":0.63510656,"teacher_disagreement_score":0.21144176,"about_ca_system_score_codex":0.0019254056,"about_ca_system_score_gemma":0.0013480535,"threshold_uncertainty_score":0.42042208},"labels":[],"label_agreement":null},{"id":"W2782923377","doi":"10.21857/94kl4cxpqm","title":"A morphology of medieval notations in the Optical neume recognition project","year":2017,"lang":"en","type":"article","venue":"Arti musices","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Morphology (biology); Notation; Computer science; Linguistics; Geology; Philosophy; Paleontology","score_opus":0.05887246042132768,"score_gpt":0.3099089630525254,"score_spread":0.2510365026311977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782923377","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21930267,0.002372163,0.08837401,0.0021913662,0.00051128626,0.00010788864,0.00020739771,0.00048772874,0.68644553],"genre_scores_gemma":[0.8717242,0.0007911866,0.039507568,0.00021239584,0.00011748959,0.00006098384,0.00013535896,0.00032473763,0.08712611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992893,0.00026010114,0.000047736445,0.00011818738,0.00021965509,0.0000649708],"domain_scores_gemma":[0.9991322,0.00030210847,0.00010741122,0.00017794663,0.00020185659,0.00007845232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089857785,0.00033378435,0.00011446601,0.0015523148,0.0026069393,0.0054253507,0.00053784513,0.00074240455,0.006462608],"category_scores_gemma":[0.0036246255,0.00019535219,0.00020127036,0.0010698604,0.006248583,0.004340867,0.0022548726,0.0010356806,0.0012452009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011522277,0.000019446772,0.002280941,0.00010635226,0.000005784122,0.00070442096,0.04438555,0.00050966075,0.0067341626,0.8125156,0.004019218,0.12860355],"study_design_scores_gemma":[0.000014757586,0.00012531955,0.013058393,0.00040402176,0.00002005786,0.0035331764,0.03007119,0.0028391872,0.010886779,0.092031986,0.8469283,0.00008682138],"about_ca_topic_score_codex":0.0027756786,"about_ca_topic_score_gemma":0.0056758467,"teacher_disagreement_score":0.006462608,"about_ca_system_score_codex":0.0016932745,"about_ca_system_score_gemma":0.0010497606,"threshold_uncertainty_score":0.021619558},"labels":[],"label_agreement":null},{"id":"W2796305572","doi":"10.2307/1504672","title":"Preserving Battlefield Terrain: Technologies for Earthworks Management","year":2000,"lang":"en","type":"article","venue":"APT Bulletin","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earthworks; Battlefield; Terrain; Engineering; Geology; Computer science; Construction engineering; Geography; Geotechnical engineering; History; Cartography; Ancient history","score_opus":0.0065248819312909555,"score_gpt":0.20866512095658973,"score_spread":0.2021402390252988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796305572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015059589,0.14296846,0.5066299,0.024727184,0.0029494427,0.00021438803,0.0007112286,0.008311625,0.29842824],"genre_scores_gemma":[0.168042,0.18021064,0.4136193,0.0032765316,0.0020500706,0.0001669571,0.0012733305,0.0008338181,0.23052742],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997366,0.000035680096,0.000013682113,0.00002489433,0.00016923947,0.00001981277],"domain_scores_gemma":[0.9997137,0.000082149534,0.000019534307,0.000034340974,0.000113180446,0.000036964047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043509025,0.0005087575,0.00019978378,0.0011432628,0.0005718163,0.002288463,0.0005892228,0.0010647918,0.010920118],"category_scores_gemma":[0.00085772615,0.00028179836,0.00015749241,0.0013801543,0.00072003994,0.0036198688,0.0008295145,0.0007339389,0.0047768564],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043908425,0.00003586884,0.0005819504,0.00036429756,0.000009439962,0.00012309574,0.00044939507,0.0008258254,0.011078864,0.025522279,0.14854427,0.8124208],"study_design_scores_gemma":[0.000015906842,0.000057918074,0.0023009172,0.00027075573,0.00002444737,0.00080957485,0.0006331632,0.004948263,0.011667538,0.019384036,0.9598601,0.000027458751],"about_ca_topic_score_codex":0.0025144683,"about_ca_topic_score_gemma":0.008291806,"teacher_disagreement_score":0.010920118,"about_ca_system_score_codex":0.0004057652,"about_ca_system_score_gemma":0.00038818136,"threshold_uncertainty_score":0.03653139},"labels":[],"label_agreement":null},{"id":"W2802479589","doi":"10.7939/r31834f2h","title":"Archaeogeophysics and Statistical Analysis at the Buffalo Lake Metis Wintering Site (FdPe-1)","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; Geography; Statistical analysis; Archaeology; Physical geography; Statistics; Mathematics; Computer science; Database","score_opus":0.005880440134235503,"score_gpt":0.18402455253202568,"score_spread":0.17814411239779018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802479589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597836,0.000055857694,0.00050721643,0.000051120187,0.0000015937753,0.000030290888,0.0007969159,0.000013681601,0.002565074],"genre_scores_gemma":[0.9927799,0.00010186322,0.0022181051,0.000020016781,0.0000032249852,0.000039233026,0.0012627967,0.000014498843,0.0035603435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994123,0.000089857625,0.000018188432,0.00007216125,0.00028317145,0.00012433117],"domain_scores_gemma":[0.99886644,0.00032939756,0.0002025732,0.00006801848,0.00039714063,0.00013646219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006817754,0.00016483518,0.00018737157,0.0020888916,0.0014893104,0.0011641036,0.00049942534,0.00017710666,0.002371314],"category_scores_gemma":[0.0021951767,0.00014481679,0.00012650991,0.005661543,0.00090851565,0.00014350131,0.0006334037,0.00028837816,0.00020559297],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105758605,0.000037237554,0.9406376,0.00003713322,0.000022963915,0.0004243193,0.012542185,0.0007129684,0.002289555,0.0006618312,0.0013227032,0.041205723],"study_design_scores_gemma":[0.000001726141,0.00001815528,0.986008,0.0000090075255,0.000005892999,0.000060633774,0.011310744,0.0004051308,0.00026559472,0.00005805215,0.001851512,0.0000055336377],"about_ca_topic_score_codex":0.79856366,"about_ca_topic_score_gemma":0.940192,"teacher_disagreement_score":0.20143634,"about_ca_system_score_codex":0.004561082,"about_ca_system_score_gemma":0.0043316847,"threshold_uncertainty_score":0.40524524},"labels":[],"label_agreement":null},{"id":"W2806350601","doi":"10.30576/2414-2050.2018.04.7","title":"Landmarks Identification Using Three Dimensional Volume Rendering and Multi-Planar Reconstruction: Is it Comparable?","year":2018,"lang":"en","type":"article","venue":"Global Journal of Oral Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volume rendering; Planar; Rendering (computer graphics); Computer graphics (images); Computer science; Computer vision; Artificial intelligence; Volume (thermodynamics); Physics","score_opus":0.04589162220577735,"score_gpt":0.3110988033858559,"score_spread":0.2652071811800785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806350601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09915432,0.025156034,0.8249891,0.011838464,0.0045603015,0.00041759812,0.0012480547,0.0039852145,0.028650913],"genre_scores_gemma":[0.4700878,0.016411765,0.4995513,0.0012639555,0.0014439845,0.00022096458,0.0012751033,0.0023571218,0.007388023],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.993536,0.0023709803,0.000411233,0.00089589023,0.0023748907,0.0004109974],"domain_scores_gemma":[0.9823997,0.007217054,0.001292106,0.0054779137,0.0032459032,0.0003673864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008464099,0.0013479461,0.0024797006,0.0030730697,0.00078312785,0.009074397,0.00382573,0.0036661446,0.014600824],"category_scores_gemma":[0.05494177,0.001216114,0.0015359093,0.002717552,0.0021340998,0.009864269,0.0027200824,0.002940259,0.004230665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016478489,0.00021897831,0.01400596,0.0014416083,0.00056320697,0.0004986947,0.000997571,0.013531484,0.015772019,0.025867872,0.008361618,0.91709316],"study_design_scores_gemma":[0.0006714454,0.0028291536,0.066306,0.0040398953,0.0028865677,0.020361388,0.008426653,0.41375434,0.08432334,0.23905706,0.15587649,0.0014677413],"about_ca_topic_score_codex":0.00556335,"about_ca_topic_score_gemma":0.0052805776,"teacher_disagreement_score":0.014600824,"about_ca_system_score_codex":0.0007099112,"about_ca_system_score_gemma":0.0020984376,"threshold_uncertainty_score":0.048844576},"labels":[],"label_agreement":null},{"id":"W2884065021","doi":"10.1080/00758914.2018.1492784","title":"Computational research on the Ancient Near East (CRANE): large-scale data integration and analysis in Near Eastern archaeology","year":2018,"lang":"en","type":"article","venue":"Levant","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Archaeology; Scale (ratio); Middle East; History; Geography; Ancient history; Cartography","score_opus":0.07623087251603461,"score_gpt":0.3446874637173949,"score_spread":0.2684565912013603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884065021","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.373453,0.09335014,0.41621688,0.077480435,0.007522266,0.0001297686,0.0047365255,0.0022836835,0.024827324],"genre_scores_gemma":[0.5317522,0.057576176,0.38197625,0.0019374364,0.0041905697,0.00011759895,0.0052995337,0.0010376662,0.016112572],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932694,0.0002379621,0.00005816149,0.00014907286,0.00018573007,0.00004223647],"domain_scores_gemma":[0.9964761,0.002440961,0.00013655535,0.0003443773,0.0004524426,0.0001494671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022080326,0.00033609796,0.00069231965,0.0014676878,0.0011755717,0.0046275146,0.0010630904,0.00068363885,0.0021262658],"category_scores_gemma":[0.005806836,0.00036892624,0.00050598587,0.0054786694,0.002330598,0.0024093667,0.0019397083,0.0012936526,0.00036554591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012400959,0.00008205786,0.02799118,0.00130789,0.00030874918,0.0004052777,0.0036869878,0.045512415,0.0044723907,0.06475628,0.16634278,0.6850101],"study_design_scores_gemma":[0.000029389428,0.000073492876,0.08495874,0.0007049441,0.00015572886,0.0006632307,0.008608207,0.25989443,0.0052301544,0.18213697,0.45741615,0.00012857247],"about_ca_topic_score_codex":0.020625861,"about_ca_topic_score_gemma":0.05929383,"teacher_disagreement_score":0.020625861,"about_ca_system_score_codex":0.000822589,"about_ca_system_score_gemma":0.0022633302,"threshold_uncertainty_score":0.04101163},"labels":[],"label_agreement":null},{"id":"W2892248265","doi":"10.1016/j.scitotenv.2018.09.065","title":"Corrigendum to “Identifying localized and scale-specific multivariate controls of soil organic matter variations using multiple wavelet coherence” [Sci. Total Environ. 643 (2018) 548–558]","year":2018,"lang":"en","type":"erratum","venue":"The Science of The Total Environment","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Multivariate statistics; Wavelet; Scale (ratio); Coherence (philosophical gambling strategy); Environmental science; Soil science; Environmental chemistry; Statistics; Mathematics; Artificial intelligence; Chemistry; Computer science; Cartography; Geography","score_opus":0.02089312742863424,"score_gpt":0.2213930495378182,"score_spread":0.20049992210918394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892248265","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000096846634,0.0016672916,0.0009424413,0.028176503,0.96451336,0.000031263207,0.0009378323,0.00035257183,0.0032819135],"genre_scores_gemma":[0.008650526,0.016372051,0.007017539,0.10779641,0.41909152,0.0003463269,0.006846573,0.0020373552,0.4318418],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950045,0.0005809626,0.000809559,0.0008261113,0.002351869,0.00042710223],"domain_scores_gemma":[0.9767111,0.00374576,0.000974445,0.0016953876,0.016017318,0.0008560188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036442534,0.0028548897,0.0029465088,0.0051717605,0.0042257844,0.0032929857,0.004752285,0.0071920957,0.08393995],"category_scores_gemma":[0.039007194,0.0014817254,0.002936254,0.003494952,0.002610516,0.0026895008,0.0033917765,0.007904112,0.049602866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017190021,0.000009276425,0.000038156355,0.000110704925,0.0000104947385,0.00011425187,0.000012145803,0.00005063199,0.00008703876,0.0003633993,0.994639,0.004547691],"study_design_scores_gemma":[0.000029905614,0.00003169646,0.0011039346,0.000241509,0.000044230903,0.00022939,0.000043866778,0.00033421165,0.0006929324,0.0015764895,0.995618,0.000053866206],"about_ca_topic_score_codex":0.035962794,"about_ca_topic_score_gemma":0.051324286,"teacher_disagreement_score":0.08393995,"about_ca_system_score_codex":0.0042977347,"about_ca_system_score_gemma":0.004847061,"threshold_uncertainty_score":0.28080708},"labels":[],"label_agreement":null},{"id":"W2901274979","doi":"10.4095/224133","title":"Comparison of in situ LAI retrieval of two instruments of four mature agricultural crops","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"In situ; Agriculture; Agroforestry; Agricultural experiment station; Environmental science; Geography; Agronomy; Biology; Archaeology","score_opus":0.04064053969040575,"score_gpt":0.33747786558954557,"score_spread":0.2968373258991398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901274979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99462825,0.00012750893,0.0035136442,0.000016086336,0.000009881586,0.000016046113,0.0004305327,0.00013279621,0.0011253175],"genre_scores_gemma":[0.9912922,0.00008065675,0.006977561,0.000025062282,0.000007485651,0.00001867146,0.0011544415,0.00004078276,0.00040321317],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997576,0.000027727598,0.000015472404,0.00008865625,0.00007124722,0.000039307513],"domain_scores_gemma":[0.99952364,0.00013189897,0.000060269747,0.000052828742,0.00020175375,0.00002958804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006340155,0.00041357093,0.0003005361,0.0008669858,0.0002317264,0.0005575438,0.00040849287,0.00049082114,0.00045496426],"category_scores_gemma":[0.0006877515,0.00019987866,0.00025816957,0.00086626905,0.00015367079,0.00076424284,0.00019941706,0.00019032002,0.00027495204],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033270114,0.00045346082,0.19971295,0.00035488183,0.00021668889,0.00022432658,0.0010526652,0.0083106505,0.67411554,0.0002680698,0.0010341277,0.110929675],"study_design_scores_gemma":[0.0001443715,0.0006687535,0.77888834,0.00003507769,0.00019859924,0.00033831716,0.0008177915,0.04056617,0.17488977,0.000212365,0.0031827951,0.000057553225],"about_ca_topic_score_codex":0.00270647,"about_ca_topic_score_gemma":0.006496983,"teacher_disagreement_score":0.00270647,"about_ca_system_score_codex":0.0003191607,"about_ca_system_score_gemma":0.00017996313,"threshold_uncertainty_score":0.0053814054},"labels":[],"label_agreement":null},{"id":"W2902132986","doi":"10.1145/3272127.3275061","title":"Construction and fabrication of reversible shape transforms","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China-Yunnan Joint Fund; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Boundary (topology); Computer science; Construct (python library); Hinge; Algorithm; Geometric shape; Geometry; Computer vision; Artificial intelligence; Mathematics; Mathematical analysis; Physics; Classical mechanics","score_opus":0.015207381737824913,"score_gpt":0.23929780141589935,"score_spread":0.22409041967807444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902132986","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078495406,0.00014501206,0.90683264,0.00009490173,0.00007947309,0.00007403624,0.000119365934,0.000811866,0.013347365],"genre_scores_gemma":[0.51865107,0.00025429996,0.47407842,0.00010932821,0.00003193439,0.00015099715,0.0003305342,0.0003805191,0.006012883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994804,0.000054078635,0.000025821737,0.00012284066,0.00024444232,0.00007235989],"domain_scores_gemma":[0.99953103,0.00014379043,0.000055978515,0.00018803109,0.000050823546,0.000030316683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040270167,0.0005089826,0.00045092643,0.0006307945,0.00042043632,0.00094776705,0.0009111302,0.00063744636,0.0035838955],"category_scores_gemma":[0.0015468784,0.0005176786,0.0007776045,0.000464625,0.0010109431,0.0013157161,0.0014808938,0.0011708578,0.0011740827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015492334,0.00009318059,0.001218395,0.00025316107,0.000041319072,0.0008138653,0.00048134508,0.14337711,0.32159242,0.34896973,0.0025755668,0.18042903],"study_design_scores_gemma":[0.000054482844,0.00030937273,0.000561669,0.000046524114,0.000024149149,0.0013213297,0.00015069975,0.5060955,0.35711616,0.09814856,0.036078416,0.00009307907],"about_ca_topic_score_codex":0.00015283536,"about_ca_topic_score_gemma":0.00025716968,"teacher_disagreement_score":0.0035838955,"about_ca_system_score_codex":0.000341965,"about_ca_system_score_gemma":0.0003289077,"threshold_uncertainty_score":0.011989355},"labels":[],"label_agreement":null},{"id":"W2907156998","doi":"10.1201/9781351075367-10","title":"Morphological Analysis of Unknown Samples","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.033017870526636225,"score_gpt":0.2482303256137853,"score_spread":0.2152124550871491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907156998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.676507,0.0015009913,0.3018003,0.0002888771,0.00022829777,0.00020604146,0.0008974272,0.0006116754,0.017959325],"genre_scores_gemma":[0.7782098,0.0009487055,0.20371327,0.00007143105,0.00004180515,0.000085130065,0.0008792893,0.00019378793,0.015856797],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996755,0.000020049049,0.00001609925,0.00010722792,0.00014851175,0.000032619973],"domain_scores_gemma":[0.9996301,0.00008132826,0.000033802582,0.000103110884,0.00013403829,0.00001759008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034753862,0.00016649124,0.000278964,0.0010961869,0.00039739662,0.00072917354,0.00037897952,0.0003873345,0.0023757832],"category_scores_gemma":[0.00080608745,0.00017991525,0.0003083507,0.000779752,0.0006859184,0.0004484043,0.00029273945,0.00034475393,0.0006662733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032975056,0.000061352905,0.0034472016,0.00030375292,0.000023354945,0.00078653323,0.00046022405,0.0041922443,0.83531123,0.0049268366,0.0007260126,0.14943148],"study_design_scores_gemma":[0.000025118456,0.00034764124,0.085881636,0.000059672006,0.00008159199,0.0048589585,0.0010394946,0.06865311,0.7782676,0.004923681,0.055786725,0.000074740616],"about_ca_topic_score_codex":0.00073289615,"about_ca_topic_score_gemma":0.0012163317,"teacher_disagreement_score":0.0023757832,"about_ca_system_score_codex":0.00030940466,"about_ca_system_score_gemma":0.00024609437,"threshold_uncertainty_score":0.007947803},"labels":[],"label_agreement":null},{"id":"W2909805609","doi":"10.4095/212174","title":"Aeromagnetic Survey Program of the Geological Survey of Canada, 2000-2001","year":2001,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Geological survey; Geology; Archaeology; Geography; Paleontology","score_opus":0.053416597372347725,"score_gpt":0.2804279067271973,"score_spread":0.2270113093548496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909805609","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012852137,0.0008655508,0.0024471665,0.0024819185,0.00041262983,0.0010525885,0.9255632,0.0007186393,0.05360622],"genre_scores_gemma":[0.033940148,0.0029617397,0.013327638,0.00072832115,0.000086092994,0.0010106078,0.78561085,0.00026612426,0.16206843],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.997031,0.000110297275,0.000096656,0.00020011398,0.0021653294,0.00039661623],"domain_scores_gemma":[0.98393905,0.00020304273,0.0003371061,0.00036166477,0.014618239,0.00054093526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020054632,0.0009860181,0.00084782625,0.0037243813,0.0025951085,0.0019737694,0.0018184044,0.00047519727,0.015410046],"category_scores_gemma":[0.0071207206,0.00080835854,0.00035407464,0.008899865,0.00046951187,0.0007630283,0.0010358006,0.0014753317,0.009291463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015751783,0.000110324414,0.023696152,0.00024258469,0.000036226436,0.00008329209,0.00027972553,0.0011204558,0.00030368293,0.0032082866,0.92758185,0.043179907],"study_design_scores_gemma":[0.00013550463,0.000037010857,0.23684663,0.00016114546,0.000043201468,0.000069252164,0.0006726065,0.002133411,0.0008688533,0.0005108081,0.7584699,0.000051690597],"about_ca_topic_score_codex":0.9908756,"about_ca_topic_score_gemma":0.9961241,"teacher_disagreement_score":0.033436786,"about_ca_system_score_codex":0.033436786,"about_ca_system_score_gemma":0.10544413,"threshold_uncertainty_score":0.24260205},"labels":[],"label_agreement":null},{"id":"W2910198668","doi":"10.4095/211185","title":"Aeromagnetic Survey Program of the Geological Survey of Canada, 1998-2000","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geological survey; Geology; Survey research; Aeromagnetic survey; Survey data collection; Business; Paleontology; Statistics; Mathematics; Physics","score_opus":0.03463274734566349,"score_gpt":0.26241324949555006,"score_spread":0.22778050214988657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910198668","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01806226,0.0012637954,0.0030791275,0.0029550462,0.0004864533,0.00094614015,0.89469016,0.0007353903,0.07778159],"genre_scores_gemma":[0.05319094,0.0036999471,0.019614683,0.00090429053,0.0001074458,0.0010245537,0.68581814,0.0003264854,0.23531348],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980704,0.000080573445,0.00006185279,0.00016884353,0.0013537414,0.00026457923],"domain_scores_gemma":[0.99035573,0.00012580305,0.0001945119,0.0002215679,0.00871422,0.0003881063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014249044,0.00087262073,0.0007252939,0.00408461,0.0023616797,0.0017752117,0.0017034116,0.00042869305,0.014535067],"category_scores_gemma":[0.004509754,0.0005947406,0.00030206057,0.008144215,0.00047378882,0.0006432968,0.0010508542,0.0011914127,0.007822256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023270841,0.000125008,0.031984627,0.00030573164,0.000050135535,0.00015505638,0.00043419568,0.0010618427,0.00068258913,0.003992894,0.8930828,0.067892484],"study_design_scores_gemma":[0.00011187773,0.00003481622,0.1927996,0.00013739518,0.000037882284,0.00009235235,0.00073469157,0.0018118402,0.00089830457,0.0004647385,0.8028359,0.000040599647],"about_ca_topic_score_codex":0.9896408,"about_ca_topic_score_gemma":0.99578345,"teacher_disagreement_score":0.03184069,"about_ca_system_score_codex":0.03184069,"about_ca_system_score_gemma":0.10216331,"threshold_uncertainty_score":0.23102146},"labels":[],"label_agreement":null},{"id":"W2912402120","doi":"10.3233/ao-190205","title":"Water features and their parts","year":2019,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada; National Science Foundation","keywords":"Computer science","score_opus":0.00504949012061233,"score_gpt":0.19432277604373813,"score_spread":0.18927328592312578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912402120","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10025759,0.00805363,0.6445409,0.0065226904,0.00082041754,0.0002784792,0.0025408554,0.0007286673,0.23625667],"genre_scores_gemma":[0.7481621,0.0049912534,0.20919135,0.0012763035,0.00036201996,0.000352074,0.0027215711,0.00034532393,0.032598004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987041,0.00025677655,0.00014450171,0.0003208287,0.00042916846,0.00014457406],"domain_scores_gemma":[0.99879164,0.00039022643,0.0001260906,0.0002930976,0.0003204657,0.000078433644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011311306,0.00038427397,0.00037662892,0.0023248806,0.0014023655,0.0037309618,0.0008217882,0.0010642583,0.0046492345],"category_scores_gemma":[0.0033134145,0.00036471503,0.00064507045,0.0021976766,0.0049993754,0.009809067,0.0024704705,0.0010783395,0.0006825354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001751949,0.000010211312,0.00078333734,0.000081462276,0.000011689409,0.000119746364,0.0014119726,0.0007648944,0.00086297543,0.959843,0.0021662503,0.03392698],"study_design_scores_gemma":[0.000008680391,0.000020780644,0.002133059,0.00014884159,0.00002841927,0.00038636848,0.0017148252,0.0037921662,0.001064008,0.7181754,0.2724996,0.00002775141],"about_ca_topic_score_codex":0.0066083707,"about_ca_topic_score_gemma":0.003561326,"teacher_disagreement_score":0.0066083707,"about_ca_system_score_codex":0.001300086,"about_ca_system_score_gemma":0.0012132216,"threshold_uncertainty_score":0.015553176},"labels":[],"label_agreement":null},{"id":"W2914340465","doi":"10.20944/preprints201902.0160.v1","title":"Topological Assessment of Unidentified Moving Objects","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Morphing; Reciprocal; Manifold (fluid mechanics); Topology (electrical circuits); Euclidean geometry; Computer science; Artificial intelligence; Physics; Theoretical physics; Mathematics; Geometry; Engineering; Combinatorics","score_opus":0.10319394786739239,"score_gpt":0.36760418120612265,"score_spread":0.26441023333873026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914340465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3775847,0.00057219545,0.6101138,0.00020057274,0.00011006665,0.00013151023,0.0004850821,0.0006341889,0.010167815],"genre_scores_gemma":[0.86041415,0.0004050813,0.13584632,0.000031681066,0.000054996057,0.000075389384,0.0006880447,0.000101151396,0.002383205],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994917,0.00009234912,0.000033456556,0.00013903655,0.00017951873,0.00006380538],"domain_scores_gemma":[0.9985098,0.00026240296,0.00030524802,0.0002880787,0.00046236446,0.00017218411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061404955,0.00059660967,0.0005402209,0.004290073,0.0007013394,0.001988073,0.0007849872,0.00093989953,0.0020080982],"category_scores_gemma":[0.003914822,0.0003482689,0.00036966434,0.0014626747,0.0011108557,0.002137787,0.0019738344,0.0006193904,0.00064513594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011731371,0.00015083035,0.047373276,0.0010041754,0.00020354633,0.0031347177,0.0034485417,0.17346436,0.16829099,0.1727866,0.0043114335,0.42465836],"study_design_scores_gemma":[0.000035315246,0.0005472678,0.051247016,0.00016252529,0.0001934744,0.0024902797,0.0039944975,0.7541828,0.08354712,0.074725516,0.028548354,0.000325886],"about_ca_topic_score_codex":0.0008904278,"about_ca_topic_score_gemma":0.00085476576,"teacher_disagreement_score":0.004290073,"about_ca_system_score_codex":0.0003949676,"about_ca_system_score_gemma":0.00036091128,"threshold_uncertainty_score":0.006717801},"labels":[],"label_agreement":null},{"id":"W2944153573","doi":"10.5194/isprs-archives-xlii-2-w11-1145-2019","title":"TUTANKHAMEN’S TWO TOMBS: REPLICA CREATION AND THE PRESERVATION OF OUR CULTURAL HERITAGE IN THE DIGITAL AGE","year":2019,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cultural heritage; Replica; Archaeology; Digitization; History; Painting; Computer science; Art history; Telecommunications","score_opus":0.014219564321805097,"score_gpt":0.2607929841172657,"score_spread":0.2465734197954606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944153573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49576545,0.01301585,0.005934978,0.0079827765,0.0011981436,0.00012706986,0.00017536474,0.0001346448,0.47566584],"genre_scores_gemma":[0.94263345,0.0023421375,0.0031724542,0.0003168528,0.000055919256,0.000028600527,0.00006438999,0.00007747681,0.05130867],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916685,0.00031731048,0.000023181557,0.00010954762,0.00025088427,0.00013220949],"domain_scores_gemma":[0.9992718,0.00022977625,0.00006296296,0.00018555288,0.00010442756,0.00014541965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010623286,0.00028600587,0.00019302039,0.0010249043,0.0071152546,0.0076200133,0.0007686331,0.0009264607,0.012057101],"category_scores_gemma":[0.0022637998,0.00021436694,0.00017394108,0.0016458773,0.00868785,0.0039430107,0.0040321006,0.0010828567,0.00080470176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032679542,0.00005709785,0.0065424186,0.0004840005,0.000020953066,0.005248143,0.43361813,0.0005916005,0.0034390942,0.3876066,0.020181075,0.14188413],"study_design_scores_gemma":[0.000012776192,0.00010936684,0.00678177,0.00038911623,0.000018331097,0.0033264405,0.2160373,0.0003160958,0.0019972983,0.012463363,0.7585056,0.000042629814],"about_ca_topic_score_codex":0.023546528,"about_ca_topic_score_gemma":0.09220831,"teacher_disagreement_score":0.023546528,"about_ca_system_score_codex":0.004687554,"about_ca_system_score_gemma":0.0028494124,"threshold_uncertainty_score":0.046818912},"labels":[],"label_agreement":null},{"id":"W2948576690","doi":"10.1130/abs/2019cd-329239","title":"IMPLICATIONS FOR LOWER JURASSIC ISLAND ARC MAGMATISM FROM IGNEOUS CLASTS IN THE LOWER CRETACEOUS CONGLOMERATE, NE YUKON-KOYUKUK BASIN, ALASKA","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Magmatism; Conglomerate; Geology; Cretaceous; Clastic rock; Igneous rock; Back-arc basin; Structural basin; Geochemistry; Arc (geometry); Paleontology; Petrology; Subduction; Tectonics","score_opus":0.012289280934242388,"score_gpt":0.2391811990694022,"score_spread":0.2268919181351598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948576690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539256,0.00046864944,0.00009844282,0.0002946554,0.00001556564,0.000005756086,0.0002162404,0.000012117286,0.0034960408],"genre_scores_gemma":[0.99934965,0.00014443649,0.00007344536,0.00004670301,0.000007305023,0.0000026597218,0.00010212313,0.0000037018287,0.00026990802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980575,0.000026144242,0.00003189025,0.000053889034,0.00002815647,0.00005411662],"domain_scores_gemma":[0.999556,0.00006993833,0.000108299166,0.000021665946,0.00015612475,0.00008797601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040814,0.0003567211,0.00040158784,0.0024705164,0.002828258,0.001818336,0.000707494,0.00065291545,0.00392603],"category_scores_gemma":[0.0014389134,0.00023031955,0.00031860798,0.0025934193,0.0014249085,0.0009475839,0.0012290318,0.00047768353,0.00029448676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018552583,0.000043753105,0.97895324,0.00012508874,0.00006688554,0.0007363086,0.0037641462,0.00083873636,0.0044761556,0.0003625757,0.00026082198,0.01018677],"study_design_scores_gemma":[0.0000052267633,0.000012408124,0.99403846,0.000024808098,0.000028885626,0.00011918771,0.004687129,0.0002689684,0.00017772878,0.00013893796,0.0004934446,0.000004795694],"about_ca_topic_score_codex":0.35485658,"about_ca_topic_score_gemma":0.4779143,"teacher_disagreement_score":0.35485658,"about_ca_system_score_codex":0.002446513,"about_ca_system_score_gemma":0.00239079,"threshold_uncertainty_score":0.70558214},"labels":[],"label_agreement":null},{"id":"W2959048304","doi":"10.1088/1742-6596/1237/3/032052","title":"Research on the character recognition of Tibetan ancient document based on CNN","year":2019,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Treasure; Character (mathematics); Politics; Artificial intelligence; Character recognition; History; Computer science; Archaeology; Political science; Mathematics","score_opus":0.06367190531748526,"score_gpt":0.30361733731288715,"score_spread":0.2399454319954019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959048304","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43803048,0.019420922,0.5080632,0.0011166201,0.0009620499,0.00021933918,0.0007983017,0.0029999404,0.028389081],"genre_scores_gemma":[0.85417825,0.011256161,0.10882982,0.00036719194,0.00026802867,0.000081100414,0.0017581648,0.00011330924,0.02314796],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997259,0.000020019012,0.000021827136,0.000076203374,0.00010430537,0.00005182474],"domain_scores_gemma":[0.99980897,0.000028363243,0.000016575197,0.00002343339,0.00010347759,0.000019246334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982091,0.0005350923,0.00046263222,0.0008617756,0.00029253773,0.0006109177,0.00065402314,0.0004350859,0.0016640408],"category_scores_gemma":[0.0005633614,0.00021308433,0.0005326533,0.0011350726,0.0002316776,0.0014491541,0.0002721149,0.0004442402,0.00038638097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024938834,0.00012286057,0.007521412,0.00047349744,0.00018365397,0.00041991172,0.00015950428,0.024884874,0.1090248,0.0036110093,0.0058797724,0.84746933],"study_design_scores_gemma":[0.00003400018,0.00027784897,0.015631102,0.000069743415,0.00026003132,0.0009243773,0.00020258717,0.83796585,0.12429513,0.0017527634,0.018526772,0.000059844857],"about_ca_topic_score_codex":0.011309669,"about_ca_topic_score_gemma":0.008108904,"teacher_disagreement_score":0.011309669,"about_ca_system_score_codex":0.00049404934,"about_ca_system_score_gemma":0.0005594362,"threshold_uncertainty_score":0.0224877},"labels":[],"label_agreement":null},{"id":"W2966109089","doi":"10.18280/rcma.290208","title":"A 1D Compression Model for Loess Based on Disturbed State Concept","year":2019,"lang":"fr","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Undergraduate Education","keywords":"Loess; Compression (physics); State (computer science); Geology; Geotechnical engineering; Environmental science; Computer science; Soil science; Geomorphology; Materials science; Algorithm","score_opus":0.06848326674680204,"score_gpt":0.2989327890959263,"score_spread":0.23044952234912425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966109089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19378932,0.0014716898,0.7854888,0.0003645414,0.00010472318,0.00015264271,0.00042095428,0.00039163366,0.017815594],"genre_scores_gemma":[0.96303934,0.0011171188,0.024023544,0.000102544516,0.000030040035,0.00020880472,0.0002990077,0.00007826004,0.0111013865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986315,0.000017601229,0.0000075643343,0.000040681112,0.000051094845,0.000019853505],"domain_scores_gemma":[0.99982256,0.000061441904,0.000029703235,0.000022253635,0.000052231124,0.000011844113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002395612,0.0005210718,0.00039583378,0.0007551605,0.0002658194,0.0006495837,0.0009264669,0.00090816565,0.0019437836],"category_scores_gemma":[0.00053102226,0.00023683907,0.0005275933,0.0005146445,0.0008648562,0.00135378,0.00043757312,0.0005694754,0.00032896886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089013934,0.00006872615,0.0015407897,0.00017201056,0.00001860464,0.00041472143,0.0002477706,0.88074464,0.05165948,0.04917516,0.00073732575,0.015131742],"study_design_scores_gemma":[0.000002391714,0.000015913809,0.00021884711,0.0000034140119,0.000003679807,0.000042058175,0.000010466012,0.99544924,0.0018421343,0.0018166619,0.0005872122,0.000007925939],"about_ca_topic_score_codex":0.004167305,"about_ca_topic_score_gemma":0.001876241,"teacher_disagreement_score":0.004167305,"about_ca_system_score_codex":0.0006323451,"about_ca_system_score_gemma":0.00044138753,"threshold_uncertainty_score":0.0082861185},"labels":[],"label_agreement":null},{"id":"W2966397442","doi":"","title":"Land Property and Juridical Research at the Department of Geomatics Sciences","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geomatics; Geography; Cadastre; Property (philosophy); Surveyor; Land registration; Cartography; Regional science; Archaeology; Land tenure; Agriculture","score_opus":0.03557024389132709,"score_gpt":0.3021927498151364,"score_spread":0.2666225059238093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966397442","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1328578,0.022703625,0.009470968,0.22639564,0.0090091,0.00020544576,0.016601184,0.0004570028,0.5822993],"genre_scores_gemma":[0.36582193,0.020836018,0.0073252963,0.0036653962,0.0024565104,0.00008111596,0.0036869117,0.00027249305,0.59585434],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908936,0.00025023424,0.000046006135,0.00017323204,0.00029702112,0.00014415299],"domain_scores_gemma":[0.99707687,0.00080657494,0.0003035018,0.0001902672,0.00089316326,0.00072973745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016159752,0.00024687295,0.0003794927,0.002161817,0.0021736007,0.003266041,0.00062713336,0.00058249594,0.05563506],"category_scores_gemma":[0.0036380463,0.00013919194,0.00013481294,0.0042297654,0.0015609085,0.002103515,0.0015136992,0.0010117587,0.005713571],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018156585,0.0002646203,0.056163963,0.00031883948,0.000038172373,0.00043128076,0.0035086628,0.0009926494,0.0020751415,0.22393495,0.2965654,0.41552463],"study_design_scores_gemma":[0.000010355778,0.000072680064,0.026255712,0.00016521655,0.000012017678,0.00009265679,0.0033213885,0.0008772213,0.0017933155,0.033081654,0.9342922,0.00002557259],"about_ca_topic_score_codex":0.011428145,"about_ca_topic_score_gemma":0.026935996,"teacher_disagreement_score":0.05563506,"about_ca_system_score_codex":0.0026529813,"about_ca_system_score_gemma":0.0051665963,"threshold_uncertainty_score":0.18611783},"labels":[],"label_agreement":null},{"id":"W2969390439","doi":"","title":"Trends and variability in Temperature profiles taken from Lauder, New Zealand","year":2019,"lang":"en","type":"dissertation","venue":"Utrecht University Repository (Utrecht University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Climatology; Environmental science; Geology","score_opus":0.004282991191368344,"score_gpt":0.17492710300005873,"score_spread":0.17064411180869038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969390439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942794,0.00006753136,0.0002621921,0.000031144147,0.0000055600103,0.000017752762,0.003480365,0.000030234514,0.0018259144],"genre_scores_gemma":[0.99424994,0.00016460505,0.00053936563,0.000014499446,0.0000048191264,0.000034636283,0.0037817466,0.000010079472,0.0012002703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997737,0.000011064621,0.000018369148,0.000071905095,0.000084011386,0.000041020292],"domain_scores_gemma":[0.99949074,0.000043751792,0.00017489804,0.000031280106,0.0002070469,0.00005222266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018675602,0.0002701333,0.00023918692,0.0007002495,0.0003088267,0.000491533,0.00033385787,0.00020499947,0.0009809658],"category_scores_gemma":[0.0007592027,0.00016774709,0.00020966589,0.0011217383,0.0002428387,0.00031435944,0.00034156113,0.00027858713,0.00032113117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035005057,0.000059767684,0.9236905,0.00015186467,0.00016929649,0.00045765622,0.003056655,0.0015100517,0.043983076,0.000111861016,0.0021653392,0.0242939],"study_design_scores_gemma":[0.0000020000732,0.0000196618,0.99805474,0.0000033498472,0.000008285821,0.000042646934,0.0002407006,0.0003639906,0.0005367531,0.0000033248248,0.0007195477,0.0000049942723],"about_ca_topic_score_codex":0.44341564,"about_ca_topic_score_gemma":0.56492406,"teacher_disagreement_score":0.44341564,"about_ca_system_score_codex":0.0014770313,"about_ca_system_score_gemma":0.00064245553,"threshold_uncertainty_score":0.88166934},"labels":[],"label_agreement":null},{"id":"W297006095","doi":"10.1017/cbo9780511807459","title":"Geographical Information Systems in Archaeology","year":2006,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":708,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Metadata; Computer science; Context (archaeology); Reading (process); Geographic information system; Data science; Spatial analysis; Exploratory analysis; Interpolation (computer graphics); Archaeology; Geography; World Wide Web; Cartography; Remote sensing; Artificial intelligence","score_opus":0.007221940427207537,"score_gpt":0.1732965002851181,"score_spread":0.16607455985791056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W297006095","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015619063,0.36672392,0.039201044,0.036499914,0.006493882,0.00015574433,0.00092638604,0.0008789419,0.54755837],"genre_scores_gemma":[0.07283339,0.46437338,0.0663088,0.013914618,0.008710337,0.0006690742,0.0030063365,0.0010783332,0.3691058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965731,0.001743495,0.00028073718,0.00029612618,0.00094287377,0.00016362187],"domain_scores_gemma":[0.9961144,0.0027744155,0.0001599062,0.0003826107,0.00042986724,0.00013878905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022818204,0.0011033498,0.0013049459,0.0033104834,0.0017159341,0.012720157,0.0012240263,0.003075415,0.024458995],"category_scores_gemma":[0.005705272,0.0006758671,0.00048586456,0.012079365,0.0062128813,0.010980675,0.0039863954,0.0040122326,0.010106622],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007116868,0.00001286061,0.00020441021,0.00072826387,0.000018650915,0.00015013131,0.0025813212,0.00070929696,0.00009837967,0.64947355,0.21590708,0.130109],"study_design_scores_gemma":[0.0000026609628,0.000007111638,0.00024575146,0.00063344405,0.0000040758587,0.00017598462,0.0007272781,0.00027840893,0.00003670023,0.12078359,0.8770969,0.000008231703],"about_ca_topic_score_codex":0.0045685917,"about_ca_topic_score_gemma":0.0038091575,"teacher_disagreement_score":0.024458995,"about_ca_system_score_codex":0.0040944093,"about_ca_system_score_gemma":0.0039301175,"threshold_uncertainty_score":0.08182353},"labels":[],"label_agreement":null},{"id":"W2971967504","doi":"","title":"Application of DenseNet in Camera Model Identification and Post-processing Detection","year":2019,"lang":"en","type":"article","venue":"Computer Vision and Pattern Recognition","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Windsor","funders":"","keywords":"Computer science; Identification (biology); Computer vision; Artificial intelligence; Computer graphics (images)","score_opus":0.010427033767648624,"score_gpt":0.23804725854731512,"score_spread":0.2276202247796665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971967504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02068156,0.00033118844,0.975316,0.00009243347,0.000058421556,0.000041797022,0.00017997716,0.0015375694,0.0017609973],"genre_scores_gemma":[0.41901162,0.0005765984,0.57351476,0.00015799406,0.00007845298,0.0000835271,0.0011834998,0.00021305605,0.005180438],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952626,0.00008092247,0.000022449552,0.00013074264,0.00017784965,0.000061776416],"domain_scores_gemma":[0.99943143,0.00015137461,0.00004899818,0.0001469827,0.00019896962,0.00002227448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006233363,0.0009247568,0.000732643,0.0017010795,0.0005536241,0.0008980779,0.0008735445,0.00075414,0.002565894],"category_scores_gemma":[0.0014057866,0.0005364415,0.0004764766,0.0013562165,0.00045814802,0.00126667,0.0011199457,0.00041525226,0.0010773143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020952166,0.00017828264,0.004112333,0.00019412028,0.000116945586,0.00026521206,0.00012202564,0.13816285,0.04275294,0.0107751,0.004050138,0.79906046],"study_design_scores_gemma":[0.000007056922,0.00005569502,0.0015379341,0.000012067717,0.000025082369,0.0002466687,0.00004055448,0.96856177,0.019467046,0.006306636,0.003727063,0.000012432942],"about_ca_topic_score_codex":0.008523556,"about_ca_topic_score_gemma":0.01032004,"teacher_disagreement_score":0.008523556,"about_ca_system_score_codex":0.0005267353,"about_ca_system_score_gemma":0.0010245148,"threshold_uncertainty_score":0.016947865},"labels":[],"label_agreement":null},{"id":"W2972403926","doi":"","title":"Patterning Holocene lake dynamics and detecting early Prehistoric human impacts: targets of an improved integration of multivariate ecological indicators thanks to the data mining approach.","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Holocene; Multivariate statistics; Prehistory; Ecology; Computer science; Environmental science; Earth science; Geology; Geography; Oceanography; Archaeology; Machine learning; Biology","score_opus":0.024751157802038626,"score_gpt":0.25246055142819385,"score_spread":0.22770939362615522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972403926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76953465,0.0027391592,0.21007931,0.001138257,0.00012410345,0.000113789276,0.008885805,0.0009635005,0.006421435],"genre_scores_gemma":[0.9306231,0.0010736169,0.06273204,0.000058966154,0.000090026755,0.00006884827,0.0038907328,0.000101612575,0.0013610331],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997017,0.00010548293,0.000028524737,0.00008729386,0.00004299289,0.000034060555],"domain_scores_gemma":[0.9984555,0.0005719191,0.00035823745,0.00017208478,0.0003140741,0.00012810252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076679717,0.00061180047,0.00046751826,0.0033604538,0.00028913055,0.0015461007,0.00043864394,0.0004954625,0.0017921482],"category_scores_gemma":[0.0030599993,0.00020968907,0.0003537958,0.0030061158,0.00025291342,0.0009414442,0.00090442435,0.00038694163,0.0004109784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025661394,0.00022856849,0.5856845,0.00037624227,0.00028356022,0.00016688288,0.0004634685,0.01581066,0.014757643,0.0013629971,0.0036475104,0.37696144],"study_design_scores_gemma":[0.000015410213,0.000097007505,0.8573532,0.00010916661,0.00014780709,0.00020588476,0.0010232335,0.12298993,0.006102585,0.0064173355,0.005485783,0.00005253084],"about_ca_topic_score_codex":0.0057526757,"about_ca_topic_score_gemma":0.010888375,"teacher_disagreement_score":0.0057526757,"about_ca_system_score_codex":0.00028260148,"about_ca_system_score_gemma":0.0005509468,"threshold_uncertainty_score":0.01143837},"labels":[],"label_agreement":null},{"id":"W2975529812","doi":"10.5220/0008985100690074","title":"Fast Fourier Transform based Force Histogram Computation for 3D Raster Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Histogram; Computer science; Computation; Fourier transform; Raster graphics; Raster data; Artificial intelligence; Computer vision; Computer graphics (images); Fast Fourier transform; Algorithm; Mathematics; Image (mathematics)","score_opus":0.05192342325004875,"score_gpt":0.2753419298425343,"score_spread":0.22341850659248555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975529812","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028185805,0.000105653024,0.9663431,0.0001024411,0.000040606003,0.00007494973,0.0004455826,0.0023240875,0.0023777408],"genre_scores_gemma":[0.22888526,0.00034089957,0.7656988,0.00005696688,0.000035355053,0.00016304197,0.0013892701,0.00040951412,0.0030209431],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974614,0.000018232267,0.00001203856,0.000027670538,0.00016864817,0.00002727542],"domain_scores_gemma":[0.9994092,0.0002194842,0.000061094564,0.00008402763,0.00020305338,0.000023163486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002750771,0.00033837097,0.00037322412,0.0014753374,0.00036889635,0.0007939284,0.0006879508,0.00040542727,0.008032196],"category_scores_gemma":[0.0018636982,0.00022380013,0.00037592513,0.0014117406,0.00025820403,0.0012632405,0.0005256785,0.00046795144,0.0017436285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024707292,0.00013550246,0.0039470005,0.00033624674,0.00005522967,0.00030980402,0.00030741098,0.069063775,0.121339284,0.020727618,0.009108004,0.77442306],"study_design_scores_gemma":[0.000022319551,0.000074374315,0.004170368,0.000025463438,0.000014432178,0.00058926654,0.00017552706,0.9070084,0.06963849,0.008134379,0.010082811,0.00006418674],"about_ca_topic_score_codex":0.0036195198,"about_ca_topic_score_gemma":0.0034103293,"teacher_disagreement_score":0.008032196,"about_ca_system_score_codex":0.0004058004,"about_ca_system_score_gemma":0.0007572403,"threshold_uncertainty_score":0.02687037},"labels":[],"label_agreement":null},{"id":"W2979312627","doi":"10.26721/spafajournal.v3i0.627","title":"Preliminary Report: Archaeology Education in Southeast Asia","year":2019,"lang":"en","type":"article","venue":"SPAFA Journal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Peking University; Wuhan University; National Tsing Hua University; Waseda University; Murdoch University; Griffith University; Yale University; University of New South Wales; University College Dublin; La Trobe University; National Taiwan University; Michigan State University; Sichuan University; Newcastle University; Sun Yat-sen University; Cardiff University; University of Leeds; Xiamen University; University of Missouri; Northwestern University; Durham University; Lanzhou University; Banaras Hindu University; University of Leicester; Lomonosov Moscow State University; University of Delhi; Tsinghua University; Trent University; College of Engineering, Michigan State University; Università degli Studi di Padova; Princeton University","keywords":"Southeast asia; Archaeology; Geography; Training (meteorology); History; Ethnology","score_opus":0.005677139450872903,"score_gpt":0.24471230999343008,"score_spread":0.23903517054255718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979312627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9095036,0.0010203626,0.0010683094,0.004916307,0.00045713232,0.001561553,0.026188547,0.00016717658,0.05511708],"genre_scores_gemma":[0.889993,0.003571164,0.0063412264,0.002885102,0.00036875953,0.0035256662,0.02285815,0.00008558913,0.07037129],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990289,0.00023416991,0.000119570475,0.000080722006,0.00025519147,0.00028144912],"domain_scores_gemma":[0.98944676,0.0019124346,0.00079077895,0.0003509047,0.0053603724,0.0021386878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002533866,0.00028992523,0.00022237819,0.0019850924,0.0013966392,0.0013769764,0.00040665912,0.00048390165,0.01864018],"category_scores_gemma":[0.0058517857,0.0002536802,0.00021598587,0.0028137488,0.0002517296,0.0009092461,0.0011785042,0.00075503497,0.003265639],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005597659,0.0018435215,0.7013504,0.0022793259,0.000038006317,0.0011744057,0.048009496,0.00035766012,0.00388504,0.00095382583,0.06400713,0.17554148],"study_design_scores_gemma":[0.000024817631,0.0008240324,0.8547183,0.0003802642,0.000021362575,0.00016968703,0.058693103,0.00014018346,0.0011721515,0.000115912444,0.083721265,0.000018913868],"about_ca_topic_score_codex":0.043284874,"about_ca_topic_score_gemma":0.06964583,"teacher_disagreement_score":0.043284874,"about_ca_system_score_codex":0.0016466163,"about_ca_system_score_gemma":0.0077347807,"threshold_uncertainty_score":0.08606583},"labels":[],"label_agreement":null},{"id":"W2981320385","doi":"10.4095/295723","title":"GIS dataset of geology, Ware (94F), British Columbia","year":2015,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Archaeology; Geography; Cartography; Mining engineering; Physical geography","score_opus":0.03450921188300446,"score_gpt":0.281866784922333,"score_spread":0.24735757303932857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981320385","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019992327,0.000049835027,0.0001929397,0.000056383094,0.000010931925,0.000026952162,0.990166,0.0003417214,0.007156025],"genre_scores_gemma":[0.006859008,0.00015127799,0.001106927,0.00003824097,0.000003837499,0.00012747415,0.9799825,0.00015943876,0.011571353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996251,0.000016908065,0.00003713414,0.00008927553,0.00014701734,0.000084483916],"domain_scores_gemma":[0.99816895,0.000078853576,0.00007824114,0.00014769602,0.0013621553,0.00016399397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000272388,0.0007256707,0.0006305468,0.004008983,0.0013009005,0.0019287538,0.0012831771,0.00034811356,0.064954236],"category_scores_gemma":[0.0019140764,0.00043286392,0.0002926178,0.013387439,0.00025383796,0.0006303957,0.0007567786,0.0008380233,0.031272203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045004024,0.00002107165,0.0056977565,0.0001943628,0.000018271105,0.00006202601,0.00010016596,0.0004495249,0.00018826201,0.0008449432,0.98032445,0.012054198],"study_design_scores_gemma":[0.00006428388,0.0000069508937,0.057866026,0.00024620685,0.00002521771,0.000058326525,0.0006467479,0.002023915,0.00056947314,0.0006416081,0.93780106,0.000050156523],"about_ca_topic_score_codex":0.942897,"about_ca_topic_score_gemma":0.969728,"teacher_disagreement_score":0.064954236,"about_ca_system_score_codex":0.007527016,"about_ca_system_score_gemma":0.013044453,"threshold_uncertainty_score":0.21729356},"labels":[],"label_agreement":null},{"id":"W2981430460","doi":"10.4095/222463","title":"Residual total magnetic field, Deschambault Lake aeromagnetic survey, Saskatchewan, Seager Wheeler Lake 63 L/05, Saskatchewan","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Geology; Aeromagnetic survey; Magnetic survey; Remote sensing; Paleontology; Magnetic field; Magnetic anomaly; Mathematics; Physics; Algorithm","score_opus":0.017286978502687032,"score_gpt":0.2468973834993344,"score_spread":0.22961040499664737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981430460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7900451,0.0006347998,0.0020621116,0.0006687026,0.00007461001,0.0003873218,0.1377704,0.00047102466,0.06788603],"genre_scores_gemma":[0.7735703,0.0011126176,0.00963304,0.0003546394,0.00003065971,0.00041453872,0.059740126,0.00016499666,0.1549791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996239,0.000025887139,0.000023310125,0.00007970531,0.00018624189,0.0000608586],"domain_scores_gemma":[0.9989343,0.000077199154,0.00006740967,0.00008036802,0.00072044216,0.00012022506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046171475,0.0005876009,0.00036727675,0.003173627,0.0023977081,0.0009393821,0.0013175588,0.00042055675,0.009462722],"category_scores_gemma":[0.00092284154,0.00041080176,0.00025855727,0.0045757424,0.000463358,0.0005271625,0.00078269595,0.00046766805,0.0027666523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075641845,0.00027846816,0.778936,0.00033145005,0.0003396177,0.0019320537,0.002793711,0.0059291613,0.017298687,0.0018571875,0.078701556,0.11084569],"study_design_scores_gemma":[0.000072151175,0.000043686512,0.95858115,0.000072497285,0.00006133069,0.00015801088,0.0019410795,0.0023476658,0.0035938371,0.0003337567,0.03274548,0.000049297658],"about_ca_topic_score_codex":0.964916,"about_ca_topic_score_gemma":0.9916585,"teacher_disagreement_score":0.03508401,"about_ca_system_score_codex":0.008547309,"about_ca_system_score_gemma":0.01877394,"threshold_uncertainty_score":0.0705812},"labels":[],"label_agreement":null},{"id":"W2981472066","doi":"10.4095/220546","title":"Geophysical series - NTS 64 L - Wollaston Lake, Saskatchewan","year":2005,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Geology; Geophysics; Paleontology","score_opus":0.015171119358783697,"score_gpt":0.25350407299528627,"score_spread":0.23833295363650256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981472066","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16760394,0.0012523957,0.017713243,0.0024734186,0.0008434409,0.0009625427,0.16713934,0.005049285,0.6369624],"genre_scores_gemma":[0.110925905,0.0011551753,0.014149003,0.00024749027,0.000038484366,0.0003472041,0.043741494,0.0009659208,0.8284292],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995165,0.000035611807,0.00002076941,0.00013449487,0.00020276631,0.000089838024],"domain_scores_gemma":[0.99869746,0.00015935564,0.000053780448,0.00021158962,0.00074351655,0.00013436865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048042543,0.001231027,0.0005906772,0.0018815465,0.0024077513,0.0014966099,0.0015552116,0.00069046253,0.18961051],"category_scores_gemma":[0.0013385759,0.00053768954,0.00039712942,0.0040896446,0.0006242543,0.0012123891,0.001319712,0.001047404,0.05367384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016546017,0.00049267267,0.056695603,0.00056128163,0.00017482052,0.0017243887,0.0008937376,0.01342221,0.031929493,0.006090987,0.51301855,0.37334177],"study_design_scores_gemma":[0.0004243953,0.00029183913,0.21487579,0.00037553057,0.00016421618,0.0006620491,0.0027831274,0.019669376,0.03363259,0.004683912,0.7222355,0.00020166695],"about_ca_topic_score_codex":0.6153071,"about_ca_topic_score_gemma":0.87139195,"teacher_disagreement_score":0.3846929,"about_ca_system_score_codex":0.0044074156,"about_ca_system_score_gemma":0.012820212,"threshold_uncertainty_score":0.77391684},"labels":[],"label_agreement":null},{"id":"W2981529806","doi":"10.4095/220556","title":"Geophysical series - NTS 64 L/09 - Sava Lake, Saskatchewan","year":2005,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Geology; Hydrology (agriculture); Earth science; Geophysics; Paleontology; Geotechnical engineering","score_opus":0.01724794838496258,"score_gpt":0.2562684508392501,"score_spread":0.23902050245428752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981529806","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18493848,0.00094138994,0.014340815,0.0031952774,0.00086669176,0.0009983733,0.3472351,0.0048684673,0.44261545],"genre_scores_gemma":[0.19424324,0.0011605193,0.015838401,0.00040832552,0.00006123002,0.00045147823,0.10502696,0.0010644731,0.6817454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967647,0.000022454877,0.000014939055,0.00007493508,0.00015259882,0.000058646554],"domain_scores_gemma":[0.99865806,0.00012970563,0.00006330637,0.00019943892,0.0008154225,0.00013408148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004311853,0.000870783,0.00056508364,0.0017897929,0.0019767277,0.001241866,0.0014500446,0.0006166224,0.10924993],"category_scores_gemma":[0.0012422884,0.00044737896,0.00033251135,0.0039934027,0.00056922383,0.0011082223,0.00093379855,0.00093091367,0.02693819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016494205,0.00051736773,0.07894957,0.00049275876,0.000163254,0.0011557817,0.0006899819,0.014531765,0.026975943,0.00513185,0.6446974,0.22504489],"study_design_scores_gemma":[0.00061317714,0.0002662945,0.35396895,0.00035393352,0.00014226678,0.0005324486,0.0024217134,0.024643967,0.031557776,0.005765155,0.5795447,0.00018957916],"about_ca_topic_score_codex":0.7324949,"about_ca_topic_score_gemma":0.90755117,"teacher_disagreement_score":0.2675051,"about_ca_system_score_codex":0.0048630103,"about_ca_system_score_gemma":0.013304056,"threshold_uncertainty_score":0.538161},"labels":[],"label_agreement":null},{"id":"W2981579228","doi":"10.4095/223268","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Klinkit Lake 104 O/11, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Aeromagnetic survey; Geology; River valley; Columbia university; Archaeology; Hydrology (agriculture); Field (mathematics); Oceanography; Magnetic field; Geography; Geotechnical engineering; Media studies","score_opus":0.013533663144309642,"score_gpt":0.23316368679220387,"score_spread":0.21963002364789422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981579228","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3703885,0.0034959852,0.0020615105,0.00271769,0.00027542358,0.0007864857,0.39078987,0.0010593627,0.22842512],"genre_scores_gemma":[0.3447804,0.00308013,0.0061121783,0.0005136582,0.00006285089,0.0003378127,0.08446097,0.0003533659,0.5602986],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99941194,0.00003734301,0.000029768722,0.00008538954,0.00031491596,0.00012065616],"domain_scores_gemma":[0.9981571,0.00009146116,0.00006894844,0.00005494611,0.0014569687,0.00017059612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040739655,0.00057037495,0.00047038525,0.0034765485,0.0038573674,0.0011173945,0.0015524627,0.000551159,0.023634963],"category_scores_gemma":[0.0014850504,0.00041809003,0.0002459825,0.00536438,0.00048824114,0.00047703646,0.00069278694,0.0008337513,0.00556459],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003895807,0.00025677716,0.31099018,0.00077810284,0.00015850931,0.0012358682,0.0018485548,0.0036233764,0.003229793,0.0020156757,0.49800846,0.17746516],"study_design_scores_gemma":[0.0000656003,0.000029461156,0.853381,0.00023340003,0.000058691563,0.00021773293,0.0031339475,0.0022734294,0.0015448037,0.00026789552,0.13872455,0.00006948187],"about_ca_topic_score_codex":0.99370545,"about_ca_topic_score_gemma":0.9982822,"teacher_disagreement_score":0.023634963,"about_ca_system_score_codex":0.013693033,"about_ca_system_score_gemma":0.026687626,"threshold_uncertainty_score":0.09935039},"labels":[],"label_agreement":null},{"id":"W2981609043","doi":"10.4095/211419","title":"Aeromagnetic residual total field survey, Buffalo, Ontario-New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Geology; Field survey; Archaeology; Geography; Geodesy; Mathematics; Seismology; Algorithm","score_opus":0.04187437268825985,"score_gpt":0.2582982119760857,"score_spread":0.21642383928782585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981609043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44618994,0.0024990726,0.010660958,0.0016040875,0.00035473704,0.0012361967,0.23713335,0.0021064058,0.29821536],"genre_scores_gemma":[0.4219997,0.003215832,0.01762367,0.00022007545,0.00022887968,0.00056632847,0.07463952,0.0005500795,0.48095593],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997038,0.000013788077,0.0000060306224,0.000061723724,0.0001697583,0.000044835342],"domain_scores_gemma":[0.9993272,0.00004040974,0.00003123439,0.000033676843,0.00047686545,0.00009064392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029153485,0.0004386973,0.0005709822,0.0021120955,0.0021382438,0.000509842,0.0006898209,0.00022805744,0.021039223],"category_scores_gemma":[0.00055471994,0.00019690773,0.00016088801,0.0020524275,0.00043059792,0.00050658884,0.0004896377,0.0004052451,0.003417518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012829821,0.00052622304,0.23178746,0.00073459157,0.00023057673,0.0008023174,0.0015652191,0.0065626847,0.06342882,0.0062636626,0.42521498,0.26160046],"study_design_scores_gemma":[0.00012269858,0.00011299956,0.686924,0.000047936905,0.00008646493,0.00015337294,0.00067050563,0.0035192005,0.008420361,0.0005012224,0.2993994,0.000041937743],"about_ca_topic_score_codex":0.8092505,"about_ca_topic_score_gemma":0.920059,"teacher_disagreement_score":0.19074953,"about_ca_system_score_codex":0.004320846,"about_ca_system_score_gemma":0.00991468,"threshold_uncertainty_score":0.38374573},"labels":[],"label_agreement":null},{"id":"W2981645671","doi":"10.4095/211417","title":"Aeromagnetic residual total field survey, Simcoe, Ontario-New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Geology; Aeromagnetic survey; Field survey; Archaeology; Hydrology (agriculture); Geography; Seismology; Mathematics; Geotechnical engineering; Algorithm; Physics","score_opus":0.043831926001016416,"score_gpt":0.2618190534540475,"score_spread":0.21798712745303106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981645671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36801103,0.0031890576,0.010160089,0.0019762625,0.0003146672,0.0010028601,0.24588902,0.002534924,0.3669221],"genre_scores_gemma":[0.37730488,0.002777241,0.017240368,0.0002529419,0.0000938572,0.0002819424,0.06190898,0.00064528803,0.5394945],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997197,0.000012847056,0.000005493127,0.00005228989,0.00016273664,0.000046926296],"domain_scores_gemma":[0.9992061,0.000035057972,0.0000372608,0.000047402955,0.00057950255,0.000094637566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031769442,0.0005517035,0.000450006,0.0021763346,0.002216608,0.00055832136,0.0005898654,0.00026146614,0.0218348],"category_scores_gemma":[0.0006244965,0.00023386431,0.00020280569,0.0023929668,0.00042511147,0.0005014108,0.00041065435,0.00040285548,0.0046299268],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014235069,0.0002531316,0.19082104,0.0008905267,0.00019257706,0.00092678756,0.0014281798,0.0067467713,0.05379924,0.005444112,0.49950576,0.23856835],"study_design_scores_gemma":[0.00012232971,0.00011101948,0.5999205,0.00007899082,0.000077911376,0.00021081552,0.0008292398,0.004534636,0.0109989615,0.0006354358,0.38243526,0.000044938304],"about_ca_topic_score_codex":0.89702374,"about_ca_topic_score_gemma":0.9670049,"teacher_disagreement_score":0.10297626,"about_ca_system_score_codex":0.0057943566,"about_ca_system_score_gemma":0.013487938,"threshold_uncertainty_score":0.20716536},"labels":[],"label_agreement":null},{"id":"W2981680856","doi":"10.4095/288934","title":"Residual total magnetic field, aeromagnetic survey of the Nisling River area, part of NTS 115 G/13, Yukon","year":2011,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Residual; Geology; Archaeology; Geography; Magnetic field; Physics; Mathematics","score_opus":0.05034302253756369,"score_gpt":0.2508395441585991,"score_spread":0.20049652162103543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981680856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907397,0.00006423464,0.00041488392,0.000022537537,0.0000058828628,0.000028062652,0.004158219,0.00006542445,0.004500955],"genre_scores_gemma":[0.99039173,0.00006480631,0.00095536996,0.000010094028,0.0000039678234,0.000022476743,0.0045600436,0.000016795335,0.003974728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998981,0.0000074993914,0.0000062875974,0.000021514175,0.000046631103,0.000019983658],"domain_scores_gemma":[0.999889,0.0000069683465,0.000012903385,0.000009976612,0.000058491103,0.00002265615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008412799,0.00022181871,0.00029451877,0.00095148076,0.0007555561,0.00033216097,0.00041684604,0.00032580216,0.0012926863],"category_scores_gemma":[0.00018381875,0.00012363697,0.00018299489,0.001107559,0.0002934867,0.00018457731,0.00025833354,0.00016497073,0.00042668448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011348412,0.0003279445,0.7828531,0.00046735565,0.00029489334,0.0032779009,0.0036084442,0.016765922,0.12565553,0.0010263431,0.0069437018,0.057643946],"study_design_scores_gemma":[0.000049643128,0.00008831532,0.9858096,0.000011756177,0.000050912597,0.00022180458,0.00095670886,0.0033668475,0.003816248,0.000059176407,0.005555354,0.0000135499495],"about_ca_topic_score_codex":0.338669,"about_ca_topic_score_gemma":0.5224538,"teacher_disagreement_score":0.661331,"about_ca_system_score_codex":0.0008195494,"about_ca_system_score_gemma":0.0024112035,"threshold_uncertainty_score":0.67339545},"labels":[],"label_agreement":null},{"id":"W2981712295","doi":"10.4095/222770","title":"Compilation of soil and till geochemical metadata for Canada - an update","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Metadata; Database; Environmental science; Computer science; Geology; World Wide Web","score_opus":0.02148554694588568,"score_gpt":0.25981114438787095,"score_spread":0.23832559744198528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981712295","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046408586,0.006406752,0.0099225035,0.0024537113,0.00082967186,0.00083507056,0.9349348,0.007648498,0.032328077],"genre_scores_gemma":[0.0061413185,0.011253528,0.03338652,0.0005559882,0.000093801806,0.0004445306,0.9213486,0.0019946203,0.024781168],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938929,0.00020221766,0.0007417455,0.00059104123,0.0038681428,0.00070394896],"domain_scores_gemma":[0.9320076,0.0015903271,0.0017065031,0.002996769,0.0584953,0.0032034367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005885093,0.002243074,0.0017396723,0.04795488,0.006626244,0.009246711,0.005279926,0.0011508595,0.028092926],"category_scores_gemma":[0.01825485,0.0015415421,0.0012074773,0.089140326,0.0016078156,0.006412188,0.0050154044,0.0022716876,0.021289427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011792401,0.000062953055,0.0075194994,0.002072913,0.000056946294,0.00018001239,0.0007578132,0.0008217626,0.0012149062,0.004530811,0.7650987,0.21756579],"study_design_scores_gemma":[0.000012434202,0.0000049748833,0.009650675,0.0007102449,0.000027831446,0.0000707256,0.00034879122,0.00026534355,0.00054542045,0.0004339514,0.9878612,0.00006842798],"about_ca_topic_score_codex":0.98501587,"about_ca_topic_score_gemma":0.9842829,"teacher_disagreement_score":0.06507808,"about_ca_system_score_codex":0.06507808,"about_ca_system_score_gemma":0.22927088,"threshold_uncertainty_score":0.47217673},"labels":[],"label_agreement":null},{"id":"W2981771488","doi":"10.4095/223258","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Ed Asp Lake 104 O/01, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Residual; River valley; Geology; Archaeology; Columbia university; Hydrology (agriculture); Geography; Magnetic field; Geotechnical engineering; Media studies; Mathematics; Physics; Sociology","score_opus":0.012386986544613785,"score_gpt":0.23204693384667308,"score_spread":0.2196599473020593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981771488","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053531345,0.019112425,0.0036742438,0.004223664,0.0010953632,0.00047498208,0.51527125,0.0019194453,0.40069726],"genre_scores_gemma":[0.041683692,0.009266773,0.004070957,0.00029057512,0.0000802457,0.00012861303,0.07480899,0.00042025614,0.86924994],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99952376,0.000028753735,0.000026701167,0.000074535725,0.00026030958,0.00008587932],"domain_scores_gemma":[0.99838245,0.00008521896,0.000058124147,0.00006355576,0.0012897295,0.00012087063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040364446,0.0009554474,0.0005679246,0.0036323315,0.002746786,0.0014573393,0.0015342166,0.0005972972,0.056817785],"category_scores_gemma":[0.0016317399,0.00065213564,0.00033085883,0.007756079,0.00044073,0.0006453662,0.0006590117,0.0010115076,0.016919188],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012256947,0.000046708974,0.021923471,0.00035336334,0.000029748757,0.00015359382,0.00022280418,0.0011909539,0.0006456295,0.00084457966,0.8405974,0.1338692],"study_design_scores_gemma":[0.000054845048,0.00002953149,0.25662372,0.00049734925,0.00007637375,0.00019458523,0.0015261304,0.0026824262,0.0017624559,0.0004738095,0.7360016,0.00007716981],"about_ca_topic_score_codex":0.9876187,"about_ca_topic_score_gemma":0.9964798,"teacher_disagreement_score":0.056817785,"about_ca_system_score_codex":0.011329563,"about_ca_system_score_gemma":0.024621272,"threshold_uncertainty_score":0.19007444},"labels":[],"label_agreement":null},{"id":"W2981792733","doi":"10.4095/222273","title":"Residual total magnetic field, Wuskwatim Lake aeromagnetic survey, Manitoba, Nelson House 63 O/15, Manitoba","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Residual; Geology; Archaeology; Geochemistry; Geography; Magnetic field; Mathematics; Physics","score_opus":0.02560959902791235,"score_gpt":0.24406740969126745,"score_spread":0.2184578106633551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981792733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46724898,0.001344335,0.0032784725,0.0016791133,0.00023800746,0.0010876344,0.34887987,0.0012415502,0.17500208],"genre_scores_gemma":[0.36054865,0.0022469265,0.01593662,0.00048067942,0.00008405905,0.00077659404,0.14874372,0.00052702863,0.4706557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996846,0.000025598643,0.000013914901,0.00007637396,0.00014508692,0.000054489483],"domain_scores_gemma":[0.99901664,0.000050259383,0.00005288833,0.000051601615,0.0007037017,0.00012488266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004725086,0.0007534921,0.00030328726,0.0026190097,0.0025049283,0.0006694946,0.0015447093,0.00035096638,0.022655828],"category_scores_gemma":[0.0010787515,0.00054556335,0.0002256049,0.0039065895,0.00035228877,0.00047788504,0.00061845256,0.0005723523,0.007290993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006521242,0.0004648793,0.5075783,0.0006398312,0.00018659836,0.0011591775,0.0033636205,0.003572325,0.015725337,0.0018599031,0.3004037,0.1643942],"study_design_scores_gemma":[0.000080382575,0.00010357041,0.87807256,0.0001029775,0.000079240126,0.0001817882,0.0026070236,0.0016768897,0.004043542,0.00024968502,0.11276752,0.000034850047],"about_ca_topic_score_codex":0.93601424,"about_ca_topic_score_gemma":0.97987604,"teacher_disagreement_score":0.063985765,"about_ca_system_score_codex":0.0051881326,"about_ca_system_score_gemma":0.012939137,"threshold_uncertainty_score":0.12872511},"labels":[],"label_agreement":null},{"id":"W2981827309","doi":"10.4095/223265","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Maria Lake 104 O/08, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Geology; Residual; Columbia university; Archaeology; River valley; Hydrology (agriculture); Geography; Magnetic field; Geotechnical engineering; Media studies; Mathematics; Sociology; Physics","score_opus":0.01288077179245457,"score_gpt":0.23036854899650117,"score_spread":0.2174877772040466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981827309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4524448,0.0034589218,0.0017737568,0.0029662286,0.00025317853,0.0007041468,0.33155394,0.000934907,0.20591006],"genre_scores_gemma":[0.4173722,0.003082614,0.005609953,0.00056222745,0.00005770087,0.00032669914,0.07418919,0.0003153936,0.498484],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994671,0.00003373585,0.00002931262,0.00008005547,0.00027775284,0.00011210825],"domain_scores_gemma":[0.99809915,0.00009089736,0.00007148523,0.000053575714,0.001520942,0.00016393058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038636016,0.0005234947,0.00044777364,0.0032078335,0.0038396227,0.001130275,0.0015212115,0.0005452865,0.020347897],"category_scores_gemma":[0.0015210711,0.00040307248,0.00022961656,0.005315837,0.00047955566,0.00047063123,0.0006745353,0.0008192019,0.0045111133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003711745,0.0002531289,0.3765745,0.0007442466,0.00017499248,0.0012534058,0.0021475267,0.0035372705,0.0032051376,0.0018512855,0.4405607,0.1693266],"study_design_scores_gemma":[0.000056509383,0.000023872148,0.8826294,0.00022029429,0.000055805773,0.0001957683,0.0032598334,0.001981508,0.0012945556,0.00021138956,0.11000992,0.00006101562],"about_ca_topic_score_codex":0.99494725,"about_ca_topic_score_gemma":0.99870455,"teacher_disagreement_score":0.020347897,"about_ca_system_score_codex":0.014402147,"about_ca_system_score_gemma":0.026811497,"threshold_uncertainty_score":0.104495406},"labels":[],"label_agreement":null},{"id":"W2981836942","doi":"10.4095/215829","title":"Compilation of soil and till geochemical metadata for Canada","year":2004,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Metadata; Geology; Archaeology; Geochemistry; Earth science; Geography; World Wide Web; Computer science","score_opus":0.024398937707079228,"score_gpt":0.2575931115145076,"score_spread":0.23319417380742835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981836942","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04312303,0.00048902316,0.016602656,0.0003345325,0.00008926283,0.0006558629,0.9139552,0.007318582,0.017431872],"genre_scores_gemma":[0.05868125,0.001158474,0.073261224,0.000112814836,0.000024366713,0.0005198675,0.8422362,0.0011934369,0.022812385],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988028,0.000020340321,0.00007499579,0.00014412099,0.0007645905,0.00019305023],"domain_scores_gemma":[0.98950166,0.00020361927,0.00030233673,0.00053088425,0.008758631,0.00070295256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087597343,0.0011999238,0.00085987383,0.013867482,0.0035298113,0.001960786,0.0019694413,0.00043268385,0.008288101],"category_scores_gemma":[0.0029890395,0.00075431546,0.0006830019,0.020330692,0.00057161663,0.0008619648,0.0011407487,0.00078312226,0.0047501856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066986383,0.00037182693,0.06349391,0.0013876486,0.00018403407,0.00063923217,0.00154284,0.015009419,0.025173303,0.008107456,0.5009063,0.38251415],"study_design_scores_gemma":[0.00011858614,0.00006259751,0.15578817,0.00034470324,0.00019761859,0.00027261733,0.0013093846,0.013563813,0.033284493,0.0012947475,0.7935339,0.00022931943],"about_ca_topic_score_codex":0.99051535,"about_ca_topic_score_gemma":0.99169683,"teacher_disagreement_score":0.024628634,"about_ca_system_score_codex":0.024628634,"about_ca_system_score_gemma":0.14630847,"threshold_uncertainty_score":0.17869407},"labels":[],"label_agreement":null},{"id":"W2981939723","doi":"10.4095/288036","title":"Summary of a workshop on light-weight coring techniques and equipment used by Northern Canada Division, Geological Survey of Canada","year":2011,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Coring; Division (mathematics); Geological survey; Geography; Archaeology; Physical geography; Library science; Engineering; Geology; Computer science; Paleontology; Mechanical engineering; Mathematics; Arithmetic","score_opus":0.030834491958235212,"score_gpt":0.24189076254164268,"score_spread":0.21105627058340748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981939723","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013349697,0.02586849,0.024271159,0.041157894,0.06791927,0.007363756,0.1790844,0.004100827,0.63688457],"genre_scores_gemma":[0.014015419,0.012427286,0.010507495,0.0019095136,0.0029121246,0.000784173,0.054377586,0.0012070179,0.9018594],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965803,0.00011245809,0.00011207843,0.00027179497,0.00249454,0.00042878833],"domain_scores_gemma":[0.98553,0.00026609102,0.00013547263,0.00026332855,0.012044785,0.0017603543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045435554,0.0014194613,0.0006178113,0.0052624624,0.0037636436,0.0041149855,0.0021902942,0.0011438396,0.0992899],"category_scores_gemma":[0.004122596,0.000740909,0.0007546692,0.0054826536,0.00079054106,0.0011597986,0.001526417,0.0019822498,0.039769012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036647216,0.000048301215,0.00034834864,0.0001670173,0.000004166846,0.000084289844,0.00019953394,0.00019836386,0.0010938141,0.0005168389,0.9640794,0.0332233],"study_design_scores_gemma":[0.0000069604407,0.00002034332,0.003277061,0.000097578304,0.0000050249055,0.0000364377,0.00032014746,0.000050058523,0.00044267334,0.00014976131,0.9955765,0.000017453747],"about_ca_topic_score_codex":0.75489634,"about_ca_topic_score_gemma":0.86637807,"teacher_disagreement_score":0.24510366,"about_ca_system_score_codex":0.01865406,"about_ca_system_score_gemma":0.05927791,"threshold_uncertainty_score":0.4930942},"labels":[],"label_agreement":null},{"id":"W2981974311","doi":"10.4095/288752","title":"Till sampling and analytical protocols for GEM Projects: from field to archive","year":2011,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sampling (signal processing); Field (mathematics); Computer science; Environmental science; Mathematics; Telecommunications","score_opus":0.1638427827880168,"score_gpt":0.3820174082093964,"score_spread":0.21817462542137958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981974311","genre_codex":"methods","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12056574,0.00055149995,0.71272725,0.0011953573,0.00060319755,0.008786857,0.066968076,0.030760258,0.057841796],"genre_scores_gemma":[0.047173757,0.00030641773,0.8663013,0.000335242,0.000101033314,0.008137455,0.050636254,0.0049723755,0.022036182],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941088,0.0010456854,0.000685315,0.0009693623,0.0025345334,0.0006563476],"domain_scores_gemma":[0.9868614,0.0009016363,0.0006321543,0.0049537863,0.005782255,0.00086876546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011249932,0.0007753352,0.0006888591,0.0047945688,0.0033420792,0.0021345872,0.0025180492,0.0012731374,0.014761906],"category_scores_gemma":[0.016696341,0.00098641,0.00067210424,0.00430327,0.0010780159,0.0018086039,0.0031865945,0.0020362495,0.0123751275],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021711423,0.0007327057,0.05887779,0.0007643737,0.0001612406,0.00059993454,0.005301288,0.011212751,0.20925255,0.015154948,0.22881709,0.46695408],"study_design_scores_gemma":[0.00025931737,0.0006780254,0.060480535,0.00029776627,0.00019721618,0.001028234,0.0017494987,0.016658755,0.24837342,0.009395016,0.6606836,0.00019864188],"about_ca_topic_score_codex":0.009454059,"about_ca_topic_score_gemma":0.023495499,"teacher_disagreement_score":0.014761906,"about_ca_system_score_codex":0.0015652723,"about_ca_system_score_gemma":0.006039244,"threshold_uncertainty_score":0.059496045},"labels":[],"label_agreement":null},{"id":"W2981986472","doi":"10.4095/220530","title":"Geophysical series - NTS 64 E/05 - Combe Lake, Saskatchewan","year":2005,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Geology; Geophysics; Paleontology","score_opus":0.017466628615755368,"score_gpt":0.25843791707854796,"score_spread":0.2409712884627926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981986472","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15036823,0.0011241417,0.01505639,0.0036975446,0.0011668003,0.0011393774,0.29176757,0.004711563,0.53096837],"genre_scores_gemma":[0.12249367,0.0012997082,0.0129177375,0.00041593378,0.000062632076,0.00040754053,0.06763257,0.0008973629,0.7938729],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99962497,0.000024570067,0.00001755493,0.00009478402,0.00016610272,0.000072076255],"domain_scores_gemma":[0.9982767,0.00021034868,0.00007527005,0.0002910912,0.0009683626,0.0001782411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047035294,0.001049528,0.00064316957,0.0021572278,0.002350172,0.001512998,0.0016427493,0.00077343616,0.16111176],"category_scores_gemma":[0.0015103071,0.0005291944,0.00041132898,0.004620404,0.000688892,0.0012449168,0.0011010797,0.0012748574,0.039102543],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016319358,0.000573603,0.061490312,0.0005759436,0.00019919573,0.0014162875,0.0006587102,0.012765879,0.027028644,0.006446563,0.61304355,0.27416953],"study_design_scores_gemma":[0.0005945579,0.00028218236,0.29286098,0.00037055826,0.00014818908,0.00056280545,0.0020949834,0.018573944,0.028907029,0.006092838,0.6493207,0.00019127139],"about_ca_topic_score_codex":0.706269,"about_ca_topic_score_gemma":0.90672904,"teacher_disagreement_score":0.29373097,"about_ca_system_score_codex":0.005208192,"about_ca_system_score_gemma":0.014492603,"threshold_uncertainty_score":0.59092164},"labels":[],"label_agreement":null},{"id":"W2982004838","doi":"10.4095/223260","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Nazcha Creek 104 O/03, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; River valley; Residual; Geology; Archaeology; Hydrology (agriculture); Geography; Geotechnical engineering; Magnetic field; Mathematics","score_opus":0.015097160764765532,"score_gpt":0.23670380628389284,"score_spread":0.22160664551912732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982004838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41676143,0.0027641954,0.0021191232,0.0025290127,0.00024949323,0.00074053294,0.35902297,0.0010838928,0.21472935],"genre_scores_gemma":[0.40408432,0.0027444365,0.0069180997,0.00056629704,0.000061008417,0.0003401605,0.09254034,0.00035954994,0.49238583],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994661,0.000032057156,0.000025627656,0.0000811952,0.0002889936,0.00010595557],"domain_scores_gemma":[0.99812764,0.00008705872,0.00006927344,0.000056062698,0.0014937185,0.00016627993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003882502,0.000497858,0.00044303367,0.0031562678,0.003739113,0.0010257219,0.0015237893,0.000530508,0.019975703],"category_scores_gemma":[0.0013831583,0.00037519351,0.00021621973,0.005028094,0.0004721203,0.00044136375,0.0006247137,0.0007574413,0.004981539],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033928562,0.00025659165,0.38044763,0.00057394546,0.00014080304,0.0010391913,0.0017123885,0.0038575397,0.003227186,0.0018288755,0.45250133,0.15407526],"study_design_scores_gemma":[0.00005991847,0.000024595181,0.8783717,0.00018489521,0.000051133524,0.00018243812,0.0029616174,0.0024146514,0.0014142448,0.0002495575,0.11402626,0.000058952293],"about_ca_topic_score_codex":0.99396604,"about_ca_topic_score_gemma":0.9984132,"teacher_disagreement_score":0.019975703,"about_ca_system_score_codex":0.013230415,"about_ca_system_score_gemma":0.026043046,"threshold_uncertainty_score":0.09599382},"labels":[],"label_agreement":null},{"id":"W2982033348","doi":"10.4095/211416","title":"Aeromagnetic residual total field survey, Oswego, New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Field survey; Archaeology; Geology; Geodesy; Geography; Mathematics; Cartography; Algorithm","score_opus":0.04513458834386727,"score_gpt":0.27325100996538454,"score_spread":0.22811642162151727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982033348","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51833117,0.0063179415,0.018823845,0.0013046192,0.00066961756,0.0005173856,0.22988097,0.0017468259,0.22240773],"genre_scores_gemma":[0.46874008,0.010435995,0.027860416,0.00017106402,0.0003063444,0.00054889463,0.095692515,0.0007860698,0.39545864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999877,0.00000898206,0.000005073591,0.000039210445,0.000052268402,0.000017366076],"domain_scores_gemma":[0.9997813,0.00002401434,0.000019091567,0.000029570952,0.00011090033,0.000035040837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002309478,0.0006217986,0.00044670695,0.0023607172,0.0007788345,0.00043145215,0.0005580112,0.0002064532,0.015274276],"category_scores_gemma":[0.00039358626,0.00023893938,0.00016105855,0.0020728805,0.00030801166,0.0007889246,0.00047372855,0.0003838763,0.003676468],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017716888,0.0004571002,0.148747,0.0011519631,0.00026517294,0.0015803657,0.0013182363,0.011879606,0.114329614,0.008651697,0.32879645,0.38105115],"study_design_scores_gemma":[0.00007814201,0.00013030172,0.46876943,0.00008141905,0.00010822788,0.0003678332,0.0005412401,0.0051861447,0.014869239,0.0010263716,0.5088005,0.0000411706],"about_ca_topic_score_codex":0.13246481,"about_ca_topic_score_gemma":0.2431887,"teacher_disagreement_score":0.13246481,"about_ca_system_score_codex":0.0010016508,"about_ca_system_score_gemma":0.0020283128,"threshold_uncertainty_score":0.26338756},"labels":[],"label_agreement":null},{"id":"W2982055038","doi":"10.4095/220068","title":"DEM Extraction from High Resolution Imagery","year":2003,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Computer science; High resolution; Resolution (logic); Artificial intelligence; Remote sensing; Computer vision; Geology; Chromatography; Chemistry","score_opus":0.02674551852875313,"score_gpt":0.27822622382737533,"score_spread":0.2514807052986222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982055038","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16560684,0.0010775015,0.5969935,0.00028102798,0.0003246693,0.0021206136,0.17323431,0.02651742,0.03384418],"genre_scores_gemma":[0.36277288,0.0012885293,0.4740468,0.00008157039,0.000061293686,0.0008668193,0.15159391,0.0007791979,0.008509015],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999826,0.000016512007,0.00001863265,0.000038779155,0.00007433093,0.000025803238],"domain_scores_gemma":[0.9996861,0.000035038134,0.000024017116,0.00006948165,0.00017232515,0.000013009341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024429453,0.00091915036,0.00049748487,0.0033306822,0.00021447713,0.0006708346,0.00055033906,0.00047090452,0.0064825546],"category_scores_gemma":[0.00093556585,0.00035074409,0.0007388904,0.0032250844,0.00011697655,0.0005837879,0.0005225029,0.0005345853,0.0048722215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037384898,0.00021042475,0.009898906,0.0016834326,0.00017985715,0.0014548722,0.00034120717,0.15784524,0.0790988,0.0053713764,0.061279558,0.68226254],"study_design_scores_gemma":[0.0001840419,0.0002230663,0.08458416,0.00029372922,0.00027184666,0.0012468655,0.00072692934,0.6303508,0.0877008,0.009589196,0.18459806,0.00023050101],"about_ca_topic_score_codex":0.0044694217,"about_ca_topic_score_gemma":0.0045920783,"teacher_disagreement_score":0.0064825546,"about_ca_system_score_codex":0.00030102045,"about_ca_system_score_gemma":0.00051757134,"threshold_uncertainty_score":0.021686256},"labels":[],"label_agreement":null},{"id":"W2982058381","doi":"10.4095/211415","title":"Aeromagnetic residual total field survey, Rochester, New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Geology; Archaeology; Geography; Computer science; Mathematics; Algorithm","score_opus":0.050488017607761414,"score_gpt":0.27474566582628884,"score_spread":0.22425764821852742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982058381","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3552427,0.005566108,0.024854843,0.0024074567,0.0008048946,0.00079145934,0.23879577,0.0041377773,0.36739895],"genre_scores_gemma":[0.35699916,0.0076335245,0.036683865,0.00027347758,0.0004946489,0.0005791635,0.10571463,0.0009807876,0.49064088],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9998553,0.000013605298,0.000003791894,0.00004600239,0.00006228725,0.000018899103],"domain_scores_gemma":[0.99968624,0.000027126369,0.000023852566,0.00003436991,0.00017884838,0.000049536397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003107429,0.0007663022,0.00045428038,0.0019493818,0.0007594835,0.0003521214,0.0005063914,0.00022457154,0.012424487],"category_scores_gemma":[0.00033203466,0.00023086787,0.00015170054,0.0011701667,0.00022698773,0.00043771687,0.00043205798,0.00035299765,0.0042774654],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001003991,0.00044654062,0.079188846,0.0006216094,0.0001851053,0.0010165967,0.0004167714,0.006689061,0.09092779,0.007492272,0.59903497,0.21297638],"study_design_scores_gemma":[0.000119010976,0.00020620614,0.46039394,0.00006920499,0.000116699746,0.00045272542,0.00023384944,0.00769744,0.015831757,0.0006774561,0.5141486,0.0000531942],"about_ca_topic_score_codex":0.119937785,"about_ca_topic_score_gemma":0.21253371,"teacher_disagreement_score":0.119937785,"about_ca_system_score_codex":0.00077072525,"about_ca_system_score_gemma":0.0020211383,"threshold_uncertainty_score":0.23847932},"labels":[],"label_agreement":null},{"id":"W2982074442","doi":"10.4095/223262","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Hyland Lake 104 O/05, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Aeromagnetic survey; Geology; River valley; Archaeology; Field (mathematics); Hydrology (agriculture); Oceanography; Geography; Magnetic field; Geotechnical engineering; Mathematics; Physics","score_opus":0.01286180272837502,"score_gpt":0.23064791896032524,"score_spread":0.2177861162319502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982074442","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40228173,0.003495304,0.002044484,0.0026908135,0.00027739728,0.00079377,0.37665898,0.0010226397,0.21073489],"genre_scores_gemma":[0.37221068,0.0030903192,0.0061394777,0.00051909656,0.000065035805,0.0003451227,0.09018718,0.00034036298,0.52710277],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994512,0.00003645967,0.000031811247,0.00008273233,0.00028174216,0.00011602108],"domain_scores_gemma":[0.99800855,0.00009867236,0.00007900665,0.000060526032,0.0015690195,0.00018423035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000408998,0.0005557315,0.0004521878,0.0033390853,0.0036428443,0.0011144886,0.0014643052,0.0004935191,0.023376847],"category_scores_gemma":[0.0015352827,0.00040383288,0.00023883254,0.005609151,0.00048845063,0.00049498526,0.0006705438,0.0007959381,0.00517735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003748297,0.0002463463,0.34051666,0.00071680604,0.00016719091,0.0010457094,0.0018263463,0.0035376702,0.0028186967,0.0019217258,0.47492695,0.1719011],"study_design_scores_gemma":[0.00006102292,0.000024468052,0.87260896,0.00020984565,0.00005470498,0.00016945122,0.0028932502,0.002144786,0.0012627753,0.00021337174,0.120297454,0.000059824484],"about_ca_topic_score_codex":0.99448895,"about_ca_topic_score_gemma":0.99845576,"teacher_disagreement_score":0.023376847,"about_ca_system_score_codex":0.014158968,"about_ca_system_score_gemma":0.027634924,"threshold_uncertainty_score":0.10273093},"labels":[],"label_agreement":null},{"id":"W2982083364","doi":"10.4095/223263","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Tahoots Creek 104 O/06, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Aeromagnetic survey; Geology; River valley; Archaeology; Hydrology (agriculture); Columbia university; Oceanography; Geotechnical engineering; Geography; Magnetic field; Media studies","score_opus":0.01508962489135498,"score_gpt":0.23737924399409263,"score_spread":0.22228961910273765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982083364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40176326,0.0026064937,0.0021307955,0.0025402205,0.000269051,0.0007428995,0.3675283,0.0011380018,0.22128096],"genre_scores_gemma":[0.36697194,0.0025451852,0.0065945503,0.000520508,0.000063473475,0.00030354562,0.08647269,0.00037362042,0.53615445],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99944216,0.000032669384,0.00002608145,0.00008441707,0.00030370257,0.000110994624],"domain_scores_gemma":[0.99798644,0.000092296876,0.000072479335,0.000059392314,0.0016077844,0.00018171742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039806674,0.0005329453,0.00045894657,0.0031696847,0.0040006675,0.0010595613,0.0015328526,0.00054058374,0.022417054],"category_scores_gemma":[0.0014146522,0.0003891265,0.0002203856,0.004913715,0.0004743024,0.00045274507,0.00063699327,0.0008189108,0.0056175343],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003688588,0.00028388973,0.34304762,0.00060359377,0.00013854484,0.0011160965,0.0017844111,0.004046496,0.0034011893,0.0018446704,0.48128778,0.1620769],"study_design_scores_gemma":[0.00006672966,0.000030277864,0.8617585,0.00020445601,0.00005349636,0.00020342035,0.0031362376,0.0026213056,0.001634827,0.00025941696,0.12996645,0.00006489866],"about_ca_topic_score_codex":0.99378717,"about_ca_topic_score_gemma":0.9983354,"teacher_disagreement_score":0.022417054,"about_ca_system_score_codex":0.012888852,"about_ca_system_score_gemma":0.026718985,"threshold_uncertainty_score":0.093515575},"labels":[],"label_agreement":null},{"id":"W2982085502","doi":"10.4095/222243","title":"Residual total magnetic field, Wuskwatim Lake aeromagnetic survey, Manitoba, Muhigan Lake 63 J/10, Manitoba","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Residual; Aeromagnetic survey; Field survey; Archaeology; Hydrology (agriculture); Physical geography; Seismology; Geography; Geotechnical engineering; Magnetic field; Mathematics; Physics","score_opus":0.024164145818839435,"score_gpt":0.24504375268876988,"score_spread":0.22087960686993044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982085502","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89954567,0.00050161855,0.0011171205,0.00041152627,0.000048054975,0.0003598937,0.056502014,0.00035763878,0.04115637],"genre_scores_gemma":[0.8174821,0.0010352173,0.009817267,0.00027644692,0.00003414838,0.00047091086,0.052221455,0.00016463349,0.11849791],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998115,0.000013849369,0.000009740782,0.000043776352,0.00008057003,0.000040623458],"domain_scores_gemma":[0.9995265,0.000020837986,0.000037711205,0.00002257214,0.00031985817,0.00007263468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029929145,0.0005231136,0.00027900125,0.002014508,0.0022460115,0.0005876295,0.001059036,0.0003122176,0.006173809],"category_scores_gemma":[0.00054177816,0.00038885413,0.00020294031,0.0029119914,0.0003704966,0.00034882833,0.00057195994,0.00038338988,0.001806423],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000533927,0.000258696,0.8597257,0.00041709925,0.00019794224,0.0013916979,0.004440883,0.002289487,0.020973042,0.00086304476,0.040505353,0.068403184],"study_design_scores_gemma":[0.00003421593,0.000051196403,0.97444624,0.000036564143,0.00005893496,0.00010994246,0.001992576,0.00073235936,0.0020216645,0.0000688651,0.02043244,0.000015072686],"about_ca_topic_score_codex":0.9186907,"about_ca_topic_score_gemma":0.97749376,"teacher_disagreement_score":0.08130932,"about_ca_system_score_codex":0.004322188,"about_ca_system_score_gemma":0.009993043,"threshold_uncertainty_score":0.1635763},"labels":[],"label_agreement":null},{"id":"W2982107219","doi":"10.4095/293951","title":"Portable XRF spectrometry of surficial sediment samples in the region of East Arm, Great Slave Lake, Northwest Territories, Canada","year":2014,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Sediment; Archaeology; Oceanography; Geochemistry; Physical geography; Geography; Paleontology","score_opus":0.02383633293091504,"score_gpt":0.22927489188530364,"score_spread":0.20543855895438862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982107219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98853195,0.00025735935,0.0006426637,0.000055326203,0.000005879306,0.00006198357,0.003950663,0.000034603305,0.006459529],"genre_scores_gemma":[0.9789641,0.000535003,0.0030317954,0.00006879323,0.0000047381313,0.00004150954,0.0023381202,0.00002290508,0.014992983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973017,0.000007099359,0.000013230478,0.000049089915,0.00015226132,0.000048093258],"domain_scores_gemma":[0.99970704,0.000010152422,0.000019630015,0.0000062333124,0.00022820946,0.000028704811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753487,0.00021419939,0.00022315451,0.0014315601,0.0021867997,0.00079377065,0.00054708595,0.00029273806,0.0012427346],"category_scores_gemma":[0.00030177445,0.00016201136,0.00013741988,0.0021798841,0.00038228097,0.00018905812,0.0003188052,0.00017740598,0.00026908072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044217915,0.00014144012,0.74555904,0.00029507032,0.000128326,0.0015064562,0.00540953,0.0015921943,0.18632708,0.0004918043,0.0051091714,0.0529977],"study_design_scores_gemma":[0.0000091359425,0.000028747754,0.9864253,0.000018888024,0.000018718585,0.00016275395,0.0018437365,0.00052225444,0.0069107683,0.000021176676,0.0040304777,0.000008134996],"about_ca_topic_score_codex":0.96687436,"about_ca_topic_score_gemma":0.9878749,"teacher_disagreement_score":0.03312564,"about_ca_system_score_codex":0.003639936,"about_ca_system_score_gemma":0.0060134977,"threshold_uncertainty_score":0.06664139},"labels":[],"label_agreement":null},{"id":"W2982130890","doi":"10.4095/223259","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Tuya Lake 104 O/02, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Geology; Residual; Columbia university; River valley; Archaeology; Field (mathematics); Oceanography; Hydrology (agriculture); Geography; Magnetic field; Geotechnical engineering; Media studies","score_opus":0.013395906559055138,"score_gpt":0.23298917266272642,"score_spread":0.21959326610367128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982130890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42657918,0.0034564212,0.0019307707,0.0028761146,0.0002732832,0.00079282024,0.35877368,0.0010733503,0.20424438],"genre_scores_gemma":[0.40491706,0.0031415815,0.0058959173,0.0005463677,0.00006565232,0.0003563803,0.0840827,0.0003483815,0.50064594],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994398,0.000036342437,0.0000309336,0.00008307134,0.0002882123,0.00012156169],"domain_scores_gemma":[0.9979012,0.000102103375,0.00007851566,0.000058587702,0.0016715912,0.00018798841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040572515,0.0005646855,0.00045989582,0.0034929165,0.0040137363,0.0011495042,0.0015130083,0.0005555795,0.02237155],"category_scores_gemma":[0.0016460245,0.00042737715,0.00024451542,0.0058392524,0.0005122757,0.0004982798,0.0006961816,0.0008289887,0.0048326105],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003811545,0.00025119472,0.3643297,0.00072714966,0.00016994432,0.0011675814,0.0020448668,0.003849796,0.0030199476,0.0017305035,0.4537588,0.16856943],"study_design_scores_gemma":[0.00006325416,0.000025374242,0.8807546,0.00022089119,0.000057357876,0.00018713853,0.0031431771,0.002211861,0.0013497001,0.00020769081,0.11171492,0.00006398105],"about_ca_topic_score_codex":0.99511707,"about_ca_topic_score_gemma":0.99864155,"teacher_disagreement_score":0.02237155,"about_ca_system_score_codex":0.015445148,"about_ca_system_score_gemma":0.028845664,"threshold_uncertainty_score":0.11206293},"labels":[],"label_agreement":null},{"id":"W2982149053","doi":"10.4095/223272","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Plate Lake 104 O/15, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Aeromagnetic survey; Geology; Archaeology; River valley; Columbia university; Hydrology (agriculture); Oceanography; Seismology; Geography; Magnetic field; Geotechnical engineering; Media studies; Mathematics","score_opus":0.013574857711268862,"score_gpt":0.2313997925439555,"score_spread":0.21782493483268664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982149053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48063564,0.0031823714,0.001869803,0.0020938942,0.00019867631,0.00068442343,0.32561854,0.00088553404,0.18483113],"genre_scores_gemma":[0.512787,0.002881927,0.005946674,0.0005141813,0.0000533879,0.00030791137,0.08542152,0.00031426927,0.39177316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944323,0.00003304683,0.000030904073,0.00008376661,0.00029975155,0.00010934879],"domain_scores_gemma":[0.9981608,0.00008245359,0.00007645721,0.000054331707,0.0014571742,0.0001687793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040083248,0.00053292577,0.00045843635,0.003678198,0.0035904078,0.0010912368,0.0014895791,0.0005055303,0.016790355],"category_scores_gemma":[0.0014164709,0.00039516584,0.00023377848,0.006097299,0.0005220382,0.00045558222,0.0006579477,0.0007322636,0.0039703194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004026253,0.0002462495,0.4422993,0.00083188585,0.00019525303,0.0012191153,0.002350667,0.004534929,0.004046397,0.002128657,0.36933178,0.17241311],"study_design_scores_gemma":[0.000054840795,0.000022285514,0.9052885,0.00019275758,0.00005495503,0.00017377648,0.0026362913,0.0019138042,0.0014486879,0.00019723612,0.08796006,0.000056878212],"about_ca_topic_score_codex":0.9958014,"about_ca_topic_score_gemma":0.99886596,"teacher_disagreement_score":0.016790355,"about_ca_system_score_codex":0.015508925,"about_ca_system_score_gemma":0.02889683,"threshold_uncertainty_score":0.11252564},"labels":[],"label_agreement":null},{"id":"W2982174709","doi":"10.4095/211420","title":"Aeromagnetic residual total field survey, Attica, New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Geology; Field survey; Geodesy; Seismology; Mathematics; Algorithm","score_opus":0.05362208912686598,"score_gpt":0.282281334631715,"score_spread":0.22865924550484903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982174709","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31948033,0.007883602,0.034088828,0.003031894,0.0010871042,0.00079216686,0.2239016,0.005468676,0.4042657],"genre_scores_gemma":[0.3254675,0.008533027,0.039229427,0.00028229292,0.00042804398,0.00056791387,0.08888216,0.0009676415,0.53564197],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998282,0.000012559892,0.000004314228,0.000054092136,0.000078804085,0.000022008659],"domain_scores_gemma":[0.99945074,0.00006016451,0.000028006274,0.00008066011,0.00031256862,0.000067923014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033701077,0.000746195,0.0005794813,0.0024040958,0.0012713489,0.00048464644,0.00072361936,0.00035107642,0.019378321],"category_scores_gemma":[0.0005580088,0.00029724883,0.0001864555,0.0020473336,0.0003362018,0.00085666234,0.00047295654,0.00065649487,0.0055753523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012054848,0.00043933766,0.059823543,0.0006689924,0.0001637014,0.0010476136,0.00059362216,0.0066796895,0.08386692,0.0071770973,0.5310838,0.3072502],"study_design_scores_gemma":[0.00013351797,0.00019608789,0.36626455,0.000089793815,0.00012943066,0.0005678928,0.00044810583,0.009900156,0.022748811,0.0015157419,0.59794086,0.000065015505],"about_ca_topic_score_codex":0.15767336,"about_ca_topic_score_gemma":0.27542582,"teacher_disagreement_score":0.15767336,"about_ca_system_score_codex":0.0011172855,"about_ca_system_score_gemma":0.0028348458,"threshold_uncertainty_score":0.3135112},"labels":[],"label_agreement":null},{"id":"W2982202222","doi":"10.4095/223261","title":"Residual total magnetic field, Jennings River aeromagnetic survey, British Columbia, Chismaina Lake 104 O/04, British Columbia","year":2007,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Geology; Residual; River valley; Hydrology (agriculture); Archaeology; Oceanography; Geography; Geotechnical engineering; Magnetic field; Mathematics","score_opus":0.012273660879091357,"score_gpt":0.22882945973500213,"score_spread":0.21655579885591078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982202222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43439406,0.0030450348,0.0018065319,0.0026207692,0.00024319772,0.00074961234,0.35109484,0.00097498036,0.20507096],"genre_scores_gemma":[0.39721537,0.0028901207,0.0058629266,0.00050332525,0.000060305807,0.00034616166,0.08249889,0.00031809357,0.5103048],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.999476,0.000032332086,0.000028189466,0.000077367156,0.00027684716,0.000109214074],"domain_scores_gemma":[0.9980782,0.00009195199,0.00007462139,0.000055481098,0.001524148,0.00017557388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037898222,0.0005295794,0.00043316075,0.0034750835,0.0038008092,0.001080659,0.0014814015,0.00053707743,0.02167949],"category_scores_gemma":[0.0014743458,0.0004082867,0.00023361872,0.005611779,0.00049955363,0.00046442906,0.0006642621,0.00078951946,0.004807457],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036817245,0.00025004905,0.3857467,0.00068961864,0.0001621199,0.0011792084,0.0020500787,0.0036666556,0.003137516,0.0017809607,0.43801048,0.16295847],"study_design_scores_gemma":[0.000056380388,0.00002400061,0.88444483,0.00019054457,0.0000535633,0.00017668534,0.0030646268,0.0020290997,0.0013477672,0.00020935891,0.10834431,0.000058780668],"about_ca_topic_score_codex":0.9945675,"about_ca_topic_score_gemma":0.9985232,"teacher_disagreement_score":0.02167949,"about_ca_system_score_codex":0.014376774,"about_ca_system_score_gemma":0.026441632,"threshold_uncertainty_score":0.10431129},"labels":[],"label_agreement":null},{"id":"W2982208904","doi":"10.4095/211412","title":"Aeromagnetic residual total field survey, Toronto, Ontario-New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Field survey; Geology; Geography; Seismology; Mathematics; Algorithm","score_opus":0.03811139862568127,"score_gpt":0.26333766003139647,"score_spread":0.2252262614057152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982208904","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2796157,0.0045452877,0.007715395,0.0019689626,0.00044202682,0.0007175173,0.43405956,0.0017465451,0.26918915],"genre_scores_gemma":[0.40089896,0.005165732,0.013376654,0.0002056222,0.00015314376,0.00024899252,0.10626197,0.0004582448,0.47323072],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997204,0.000011864562,0.000007029481,0.000044380213,0.000160908,0.000055386776],"domain_scores_gemma":[0.99937564,0.00002211057,0.00003550242,0.000036524358,0.00044280099,0.000087442495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024003308,0.0006269538,0.00044225558,0.0021047175,0.001785863,0.0006134368,0.00054737675,0.00023106408,0.01971597],"category_scores_gemma":[0.0005029701,0.00022716398,0.00020869417,0.003234327,0.00038611237,0.00037406746,0.00040566176,0.0003744544,0.0036767705],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009893563,0.00017483156,0.1753021,0.0011795522,0.00020487655,0.00081381213,0.0013722313,0.0069521205,0.028519547,0.00588572,0.61002755,0.16857822],"study_design_scores_gemma":[0.000076549244,0.000071667964,0.6610649,0.00007314481,0.00008141556,0.00014431989,0.00072614296,0.0028044991,0.0053754314,0.00040330598,0.32914004,0.000038538758],"about_ca_topic_score_codex":0.95549905,"about_ca_topic_score_gemma":0.9846635,"teacher_disagreement_score":0.044500947,"about_ca_system_score_codex":0.008099559,"about_ca_system_score_gemma":0.018917771,"threshold_uncertainty_score":0.089526},"labels":[],"label_agreement":null},{"id":"W3006944825","doi":"10.1201/9781351173926-1","title":"Canadian Rockies Transect","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transect; Geology; Geography; Oceanography","score_opus":0.012193603853430717,"score_gpt":0.1815165783211588,"score_spread":0.1693229744677281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006944825","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005947845,0.0074062413,0.0026424192,0.0018097481,0.0010931392,0.00029506188,0.143622,0.00086048123,0.83632296],"genre_scores_gemma":[0.018282637,0.0061517847,0.009531621,0.000634143,0.00008999716,0.00020243066,0.06581906,0.0006794644,0.8986089],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99951863,0.000014786745,0.000015385376,0.000083714556,0.00028262314,0.00008489358],"domain_scores_gemma":[0.9990963,0.000023629034,0.000023686567,0.000035948287,0.000739334,0.00008111307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031573296,0.00088732166,0.00040118833,0.005015355,0.004907217,0.0019358819,0.0011382668,0.00039886372,0.15117949],"category_scores_gemma":[0.00070837245,0.00040866208,0.0003272684,0.007726419,0.0005523681,0.00079415843,0.00076000474,0.0012759684,0.04188272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027410604,0.0000080959635,0.0017468955,0.0001564677,0.000008555381,0.000100652316,0.00081741926,0.000116805844,0.000608342,0.006692232,0.89146245,0.09825466],"study_design_scores_gemma":[0.0000015286626,0.0000020550851,0.00470659,0.00003351228,0.0000029971004,0.000054126653,0.0002188278,0.000022949003,0.00010103207,0.00011724274,0.99473226,0.000006874335],"about_ca_topic_score_codex":0.9785686,"about_ca_topic_score_gemma":0.996473,"teacher_disagreement_score":0.15117949,"about_ca_system_score_codex":0.013919209,"about_ca_system_score_gemma":0.024029983,"threshold_uncertainty_score":0.50574577},"labels":[],"label_agreement":null},{"id":"W3013782026","doi":"","title":"基于Bayes-MeTiS网格划分的3D几何重构 (3D Geometric Reconstruction Based on Bayes-MeTiS Mesh Partition).","year":2018,"lang":"en","type":"article","venue":"&#35745;&#31639;&#26426;&#31185;&#23398;","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; Bayes' theorem; Partition (number theory); Computer science; Artificial intelligence; Mathematics; Combinatorics; Bayesian probability; World Wide Web","score_opus":0.01067225617562672,"score_gpt":0.23084823888987271,"score_spread":0.220175982714246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013782026","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004378865,0.00029858842,0.991245,0.00012668787,0.00007644348,0.00004881514,0.00019183902,0.0004390234,0.0031948301],"genre_scores_gemma":[0.21305946,0.0008663623,0.7733777,0.00023877042,0.0001558416,0.0002326943,0.0017775118,0.0005039584,0.009787715],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990632,0.00014187013,0.000042205633,0.00019162727,0.00048472386,0.000076454264],"domain_scores_gemma":[0.99931216,0.00022164658,0.00006558449,0.0001310649,0.00022210808,0.000047423535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010929815,0.0006491932,0.0010613484,0.001463728,0.000822603,0.0017810287,0.0014506191,0.001422403,0.0051172627],"category_scores_gemma":[0.0035707585,0.00083682715,0.0013394342,0.0010434904,0.0010979578,0.00160308,0.0019182422,0.0014703905,0.0024242233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000532274,0.0000790604,0.00464381,0.0006051525,0.00018926652,0.00032163216,0.00054169196,0.18842067,0.01903175,0.23631881,0.015687995,0.53362787],"study_design_scores_gemma":[0.000028246082,0.000056509114,0.0007886619,0.00006247036,0.00004166188,0.00043249366,0.00009829148,0.91804576,0.0052409726,0.06375164,0.011410632,0.000042661417],"about_ca_topic_score_codex":0.0060846894,"about_ca_topic_score_gemma":0.0056822444,"teacher_disagreement_score":0.0060846894,"about_ca_system_score_codex":0.00091000233,"about_ca_system_score_gemma":0.0010641818,"threshold_uncertainty_score":0.01711899},"labels":[],"label_agreement":null},{"id":"W3015609973","doi":"","title":"Eastern Denali Fault Slip Rate and Paleoseismic History, Kluane Lake Area, Yukon Territory, Canada","year":2008,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Geology; Slip (aerodynamics); Fault (geology); Geography; Seismology; Engineering","score_opus":0.018136013249403306,"score_gpt":0.19813151877945478,"score_spread":0.17999550553005148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015609973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487984,0.00036787632,0.00005520445,0.0001238235,0.0000030484277,0.000010441618,0.0014595076,0.0000073774736,0.0030927935],"genre_scores_gemma":[0.9960796,0.00028206306,0.00012825897,0.000016735741,0.0000011366213,0.0000060772823,0.00090976123,0.00000396166,0.002572307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987054,0.000012349877,0.000010522417,0.00002259594,0.000027654512,0.000056380024],"domain_scores_gemma":[0.9996326,0.00002922906,0.000045653735,0.000012505353,0.00021679112,0.00006324052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018836986,0.00013250828,0.00018696128,0.001334819,0.001589707,0.0008224428,0.0004336896,0.00018793895,0.002366475],"category_scores_gemma":[0.00060122105,0.00012636138,0.00016296639,0.003026426,0.0004985162,0.00034991512,0.0005088429,0.00021817318,0.00019996904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014842274,0.000026607206,0.9800655,0.000057170844,0.00008430292,0.0002622741,0.0022775817,0.00062712695,0.0010252123,0.00086072664,0.0013989939,0.013166204],"study_design_scores_gemma":[0.000003509773,0.0000047056874,0.99653876,0.000013302191,0.000010204778,0.000045685072,0.001991507,0.00018756029,0.0000656703,0.000040370916,0.001094914,0.0000038459666],"about_ca_topic_score_codex":0.9789043,"about_ca_topic_score_gemma":0.995154,"teacher_disagreement_score":0.021095693,"about_ca_system_score_codex":0.0075854748,"about_ca_system_score_gemma":0.00897871,"threshold_uncertainty_score":0.055036783},"labels":[],"label_agreement":null},{"id":"W3017112335","doi":"","title":"Acoustics Week in Canada 2019 - Post Conference Report: Final Report","year":2019,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Acoustics; Engineering; Geology; Environmental science; Physics","score_opus":0.012290698807762764,"score_gpt":0.2035263165727005,"score_spread":0.19123561776493775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017112335","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030000651,0.0068037976,0.0051317126,0.14033295,0.16565432,0.0020762456,0.083280794,0.0044776644,0.56224185],"genre_scores_gemma":[0.018757934,0.0009476491,0.00081206596,0.002386723,0.0019136128,0.0001275939,0.0090707615,0.000326803,0.9656569],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958176,0.00008796811,0.000059714606,0.0001626543,0.0028697874,0.0010022691],"domain_scores_gemma":[0.98953676,0.00018958584,0.000105951396,0.00022578187,0.007545028,0.002396903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003071888,0.0011741499,0.000868779,0.0017673924,0.00648425,0.0073945955,0.0015051027,0.0039028765,0.1726919],"category_scores_gemma":[0.0031194107,0.00054424384,0.0009650922,0.0014127635,0.0012093323,0.0010137493,0.0028089923,0.004003108,0.055473484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014270375,0.00005420248,0.001395178,0.00006505383,0.000011830281,0.00010790095,0.00008615044,0.00012187744,0.0010011736,0.0005798876,0.9850718,0.011362243],"study_design_scores_gemma":[0.00003288592,0.000069160706,0.016785335,0.00007048397,0.000013063489,0.00003928857,0.0007185365,0.00023785868,0.0014474596,0.0002816521,0.9802601,0.000044153952],"about_ca_topic_score_codex":0.7930166,"about_ca_topic_score_gemma":0.9277527,"teacher_disagreement_score":0.20698339,"about_ca_system_score_codex":0.012375955,"about_ca_system_score_gemma":0.07160689,"threshold_uncertainty_score":0.57771194},"labels":[],"label_agreement":null},{"id":"W3021166220","doi":"","title":"A hands-on tutorial on deep learning for object and pattern recognition.","year":2019,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Artificial intelligence; Cognitive neuroscience of visual object recognition; Deep learning; Object (grammar); Human–computer interaction; Computer vision; Pattern recognition (psychology)","score_opus":0.07559175931056976,"score_gpt":0.3681778617329426,"score_spread":0.2925861024223728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021166220","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017458219,0.15228683,0.77098525,0.0065028705,0.012763197,0.00019036951,0.0025087446,0.004082743,0.048934195],"genre_scores_gemma":[0.032926943,0.18513636,0.47546414,0.010955632,0.021452162,0.0006975155,0.010376478,0.004351367,0.25863943],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999326,0.000111884714,0.00006519452,0.00017021556,0.00027159622,0.000055199376],"domain_scores_gemma":[0.99878687,0.00058471365,0.000044179265,0.000116687836,0.0002874771,0.00018012844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013697866,0.0026970047,0.0013683686,0.001841233,0.00033812798,0.0014593098,0.0015778659,0.001378616,0.03809832],"category_scores_gemma":[0.002857353,0.0012442233,0.0013500012,0.0023181844,0.00096341845,0.003093066,0.0021607936,0.0044517787,0.024375405],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011286952,0.00023826487,0.0004382903,0.0012517357,0.00016863202,0.0002221809,0.00009191774,0.0065306495,0.0057889586,0.022946084,0.43296984,0.52924055],"study_design_scores_gemma":[0.000042570566,0.00024100023,0.0019609248,0.00079268584,0.000060437953,0.0010565713,0.000058210924,0.020173479,0.0042035137,0.10415005,0.8671552,0.000105440355],"about_ca_topic_score_codex":0.0020966518,"about_ca_topic_score_gemma":0.0042709853,"teacher_disagreement_score":0.03809832,"about_ca_system_score_codex":0.00089855853,"about_ca_system_score_gemma":0.0007784327,"threshold_uncertainty_score":0.12745154},"labels":[],"label_agreement":null},{"id":"W3022757306","doi":"10.3968/11562","title":"English and American Literature Teaching in Colleges and Universities in the New Media Age","year":2020,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Construct (python library); Mathematics education; Order (exchange); College English; Sociology; Computer science; Psychology; Business","score_opus":0.008723638978486206,"score_gpt":0.25557836795330835,"score_spread":0.24685472897482214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022757306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57361054,0.02158185,0.006374869,0.14685062,0.005378024,0.00012470417,0.00006813325,0.00030317277,0.2457081],"genre_scores_gemma":[0.9249577,0.007073786,0.004641052,0.013236201,0.0013832132,0.000057364203,0.000040674247,0.00011768417,0.04849225],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99565876,0.0016602232,0.00014644266,0.00038609243,0.0013191686,0.00082940416],"domain_scores_gemma":[0.9853849,0.0022650927,0.0010980266,0.0004149936,0.0022780788,0.008558934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004973916,0.00019823464,0.00021932994,0.0020082223,0.01067675,0.0079761045,0.0008733518,0.0014366925,0.014871024],"category_scores_gemma":[0.01243726,0.00023041751,0.0002593095,0.0022258647,0.004615757,0.007702073,0.0062309485,0.0022710608,0.0019646876],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018911094,0.0009408701,0.06628683,0.0005703412,0.00002639664,0.0013514099,0.1566214,0.0001693286,0.006429852,0.08387819,0.072379865,0.61115646],"study_design_scores_gemma":[0.000049871353,0.00029755515,0.0968974,0.00057795236,0.000038066104,0.0011512625,0.30368787,0.00044696103,0.0022557455,0.030354135,0.5640978,0.00014525528],"about_ca_topic_score_codex":0.0063843327,"about_ca_topic_score_gemma":0.028690085,"teacher_disagreement_score":0.014871024,"about_ca_system_score_codex":0.0038682513,"about_ca_system_score_gemma":0.011201008,"threshold_uncertainty_score":0.04974854},"labels":[],"label_agreement":null},{"id":"W3023056526","doi":"10.1504/ijica.2020.10029126","title":"MeTis meshing-based Bayes 3D ship model geometry reconstruction","year":2020,"lang":"en","type":"article","venue":"International Journal of Innovative Computing and Applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Bayes' theorem; Node (physics); 3D reconstruction; Artificial intelligence; Bayesian probability","score_opus":0.022460832036003835,"score_gpt":0.287960577162114,"score_spread":0.26549974512611013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023056526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011432878,0.000068821064,0.9861314,0.00006542204,0.000029795585,0.00003241166,0.000053158536,0.00046772085,0.0017184039],"genre_scores_gemma":[0.29688135,0.00023284655,0.6968504,0.00012771648,0.000038130023,0.00013571786,0.00066928635,0.00021010291,0.004854455],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993998,0.000052709627,0.000029335815,0.000074846714,0.00041139912,0.0000320002],"domain_scores_gemma":[0.99968827,0.00008067228,0.00003405997,0.000075377626,0.00010707141,0.000014659351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032903408,0.000390567,0.00054902636,0.0007740348,0.00036367693,0.0006277969,0.00090678944,0.0006053004,0.0023429405],"category_scores_gemma":[0.0016074391,0.0003028186,0.0006530359,0.0007296917,0.0004021071,0.0010648135,0.00078622956,0.00061077945,0.0005822689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026387975,0.00005105877,0.0034642122,0.00015803917,0.00004723488,0.00023823866,0.00024905888,0.367614,0.04303563,0.025023812,0.0038116605,0.55604315],"study_design_scores_gemma":[0.000009929257,0.000026428748,0.00034272208,0.0000065546756,0.0000068397467,0.00022721112,0.000020165404,0.9861065,0.009342511,0.0020180258,0.0018811978,0.000011931313],"about_ca_topic_score_codex":0.0047359173,"about_ca_topic_score_gemma":0.004279488,"teacher_disagreement_score":0.0047359173,"about_ca_system_score_codex":0.00052892085,"about_ca_system_score_gemma":0.00084076513,"threshold_uncertainty_score":0.009416699},"labels":[],"label_agreement":null},{"id":"W3032090376","doi":"10.1016/j.eswa.2020.113559","title":"Advancement of the search process for digital heritage by utilizing artificial intelligence algorithms","year":2020,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"A Thinking Ape (Canada)","funders":"","keywords":"Big data; Computer science; Process (computing); Cultural heritage; Data science; Artificial intelligence; Algorithm; Data mining; Archaeology","score_opus":0.04532716793122469,"score_gpt":0.3037497666552349,"score_spread":0.2584225987240102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032090376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035249725,0.0034353025,0.94260526,0.0006061013,0.00012710391,0.00011469626,0.00017224057,0.00080360373,0.016885938],"genre_scores_gemma":[0.29627603,0.0048171706,0.69127965,0.00013681292,0.00013959117,0.0000748415,0.0005639735,0.00011726382,0.0065946598],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995894,0.00008604236,0.000030748888,0.00008032384,0.00017880138,0.000034638633],"domain_scores_gemma":[0.999448,0.00020194214,0.000065878776,0.00010210368,0.00014942288,0.00003266328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000728654,0.00059537386,0.0007116436,0.0031556033,0.00072027807,0.0024205775,0.00093011797,0.00093716907,0.0045078965],"category_scores_gemma":[0.0019412568,0.00024691602,0.0008119355,0.002057495,0.00068936613,0.002266344,0.0011732599,0.0007774049,0.0013596747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013630919,0.00019078107,0.0037567955,0.0009272862,0.00009531582,0.00014509416,0.0003467528,0.066652454,0.02453533,0.06597927,0.004723784,0.8325108],"study_design_scores_gemma":[0.000049204555,0.00021431451,0.0037245832,0.00025519915,0.00016127029,0.0005472676,0.0006432634,0.83684456,0.029726978,0.082427375,0.04533013,0.00007577742],"about_ca_topic_score_codex":0.0037561096,"about_ca_topic_score_gemma":0.0033439065,"teacher_disagreement_score":0.0045078965,"about_ca_system_score_codex":0.00052588724,"about_ca_system_score_gemma":0.0016466288,"threshold_uncertainty_score":0.015080452},"labels":[],"label_agreement":null},{"id":"W3034885612","doi":"","title":"Extraction automatique de structures 3D complexes - Application à la segmentation de l’oreille interne à partir de volumes numériques","year":2018,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Computer science","score_opus":0.012548610406637298,"score_gpt":0.2639022472158312,"score_spread":0.2513536368091939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034885612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047165766,0.0006570544,0.9434262,0.00031592842,0.00010542649,0.00014923445,0.00036765277,0.0048617604,0.0029510166],"genre_scores_gemma":[0.17870894,0.0005925962,0.8111739,0.00009230225,0.0000849593,0.00012909016,0.0007613324,0.0016843702,0.0067725736],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990268,0.00010709775,0.000047898862,0.000314383,0.0003754655,0.00012835929],"domain_scores_gemma":[0.99874544,0.0006329562,0.00009188035,0.00015205436,0.00031380058,0.00006371204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010027599,0.0021745781,0.0013639149,0.0039732717,0.0010363839,0.0047656572,0.0010482386,0.0032518576,0.007612588],"category_scores_gemma":[0.0026784318,0.0011562571,0.0019161919,0.0021389734,0.001268037,0.0013238254,0.001218509,0.0017190613,0.0035536285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054870197,0.00012793395,0.003191416,0.00054626004,0.00015363381,0.000712454,0.0007683764,0.04306546,0.3462092,0.008536099,0.0037704527,0.59237],"study_design_scores_gemma":[0.00010244332,0.00017111126,0.013200045,0.00012001547,0.00013047848,0.0018308597,0.00047000457,0.64478606,0.29571497,0.0065537943,0.03681433,0.000105854604],"about_ca_topic_score_codex":0.009521438,"about_ca_topic_score_gemma":0.009023362,"teacher_disagreement_score":0.009521438,"about_ca_system_score_codex":0.0011612147,"about_ca_system_score_gemma":0.0014629958,"threshold_uncertainty_score":0.02546662},"labels":[],"label_agreement":null},{"id":"W3035773419","doi":"","title":"A New Workflow For LiDAR Scanning For Change Detection In Tunnels And Caverns","year":2012,"lang":"en","type":"article","venue":"46th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Workflow; Lidar; Remote sensing; Geology; Change detection; Computer science; Database","score_opus":0.022989313264671782,"score_gpt":0.24646899645505532,"score_spread":0.22347968319038353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035773419","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008915901,0.000170863,0.9252298,0.0002654145,0.00013324755,0.0004811525,0.004296589,0.056204543,0.004302531],"genre_scores_gemma":[0.044267997,0.00020594698,0.94192535,0.00014503811,0.00003576106,0.0003687174,0.0065160124,0.0021968256,0.0043384233],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998697,0.00009539097,0.00016451787,0.0003685662,0.000551248,0.00012332306],"domain_scores_gemma":[0.9979723,0.0002392874,0.00006830651,0.0006461025,0.0008494788,0.00022459813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015944547,0.0012233538,0.00089985837,0.0032447262,0.0013969084,0.0027473413,0.0018122274,0.0011856225,0.008547919],"category_scores_gemma":[0.0026660324,0.0009614721,0.0012507436,0.0014063517,0.0005404936,0.0014004043,0.0026854274,0.0010916793,0.005434283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036009992,0.00017835741,0.008425716,0.00047937004,0.00012949547,0.0009971478,0.00094164687,0.010142198,0.11762235,0.0067217513,0.054855518,0.7991464],"study_design_scores_gemma":[0.00028905712,0.00023977098,0.023975624,0.00045835017,0.00014907922,0.004161456,0.0012551652,0.34996122,0.22132386,0.020891603,0.3767107,0.00058405544],"about_ca_topic_score_codex":0.012646686,"about_ca_topic_score_gemma":0.022626273,"teacher_disagreement_score":0.012646686,"about_ca_system_score_codex":0.0006451941,"about_ca_system_score_gemma":0.0027920748,"threshold_uncertainty_score":0.028595686},"labels":[],"label_agreement":null},{"id":"W3035799365","doi":"10.1017/aaq.2020.39","title":"Sampled to Death? The Rise and Fall of Probability Sampling in Archaeology","year":2020,"lang":"en","type":"article","venue":"American Antiquity","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sampling (signal processing); Archaeology; Sample (material); Stratified sampling; Cluster sampling; Sampling design; Probability sampling; History; Sample size determination; Geography; Sociology; Statistics; Demography; Computer science; Mathematics","score_opus":0.04016041002470239,"score_gpt":0.2902649024255461,"score_spread":0.2501044924008437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035799365","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011948203,0.22008474,0.14991629,0.58650947,0.012201927,0.0002903133,0.0001919539,0.00022040968,0.018636793],"genre_scores_gemma":[0.37158176,0.17976728,0.15925461,0.23640805,0.041659642,0.0025445933,0.00023309463,0.00090057217,0.0076504257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.786834,0.1700659,0.008832331,0.01638138,0.016302904,0.001583527],"domain_scores_gemma":[0.48618,0.46590576,0.010343303,0.018960554,0.015477719,0.0031326378],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.29346213,0.0009435432,0.0030685046,0.0044589806,0.0056178067,0.010071139,0.0049180817,0.010957014,0.0050863647],"category_scores_gemma":[0.43511283,0.0016727757,0.0012003542,0.0053526894,0.09953119,0.03816203,0.008137966,0.02305615,0.00123405],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002782848,0.00006276405,0.00541522,0.0014940177,0.00009422026,0.0001803607,0.019936418,0.0006010375,0.00014485992,0.7458252,0.03018777,0.19577983],"study_design_scores_gemma":[0.000109928355,0.00026023923,0.0038708458,0.0062335883,0.000055160228,0.00059737405,0.008615121,0.0024044039,0.00051838055,0.7686997,0.20847388,0.00016125369],"about_ca_topic_score_codex":0.009763893,"about_ca_topic_score_gemma":0.0069046984,"teacher_disagreement_score":0.70653784,"about_ca_system_score_codex":0.012493151,"about_ca_system_score_gemma":0.008349652,"threshold_uncertainty_score":0.871287},"labels":[],"label_agreement":null},{"id":"W3038587691","doi":"10.1016/j.patcog.2020.107535","title":"Self-supervised deep reconstruction of mixed strip-shredded text documents","year":2020,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Amazon Web Services; Nvidia","keywords":"Computer science; Artificial intelligence; Compatibility (geochemistry); Annotation; Pixel; Pattern recognition (psychology); Data mining; Machine learning; Information retrieval","score_opus":0.020806349212448456,"score_gpt":0.22289581024809607,"score_spread":0.20208946103564762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038587691","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3629285,0.0018624283,0.61703515,0.00070778944,0.00037182885,0.00011111398,0.0038464456,0.008479739,0.0046569253],"genre_scores_gemma":[0.7947428,0.0007319464,0.18125199,0.00020920736,0.00016063952,0.00007176513,0.00697159,0.00055583956,0.015304227],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974316,0.000035017918,0.000014242783,0.000077296005,0.00007902601,0.000051228537],"domain_scores_gemma":[0.9993808,0.0001549051,0.00006899373,0.0001424897,0.00021069241,0.00004206336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035858806,0.00083594176,0.000588712,0.0011446254,0.0002156706,0.00089875166,0.000800413,0.00091694074,0.0027706297],"category_scores_gemma":[0.0011143384,0.00039101293,0.0007645098,0.0009432134,0.00042568488,0.00085420354,0.0007005779,0.0009328866,0.0025727921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017327691,0.00035100826,0.0038129848,0.00046077956,0.0002184079,0.0007488568,0.00021535753,0.20218559,0.1617145,0.0032673683,0.021071214,0.60422117],"study_design_scores_gemma":[0.000011689446,0.000063113104,0.0011912812,0.000016768648,0.000023518533,0.00017437027,0.000050121263,0.97189045,0.02367494,0.0010622062,0.0018294206,0.000012058611],"about_ca_topic_score_codex":0.002810629,"about_ca_topic_score_gemma":0.0053911093,"teacher_disagreement_score":0.002810629,"about_ca_system_score_codex":0.0003432843,"about_ca_system_score_gemma":0.0005079933,"threshold_uncertainty_score":0.009268701},"labels":[],"label_agreement":null},{"id":"W3040027883","doi":"10.1111/cgf.14075","title":"Integer‐Grid Sketch Simplification and Vectorization","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Vectorization (mathematics); Sketch; Bitmap; Grid; Computer science; Integer (computer science); Computer graphics (images); Vector graphics; Octree; Line (geometry); Feature (linguistics); Regular grid; Segmentation; Artificial intelligence; Algorithm; Geometry; Mathematics; Graphics; Parallel computing","score_opus":0.012733274735164501,"score_gpt":0.2093883165841645,"score_spread":0.196655041849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040027883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012283585,0.00008930926,0.981989,0.00007680071,0.000041010328,0.00006171276,0.00014462396,0.0028220362,0.002492018],"genre_scores_gemma":[0.25950846,0.00044151454,0.7289603,0.00008677006,0.000055340868,0.00011163917,0.0013601707,0.001412963,0.00806283],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992668,0.00008410624,0.0000492882,0.00019735635,0.00031156687,0.000090842324],"domain_scores_gemma":[0.99904555,0.00020545896,0.000078273035,0.00039355134,0.00023549357,0.000041780946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045472212,0.0010911672,0.00106502,0.0020552452,0.0003483546,0.0024617666,0.0013206959,0.0005593405,0.012072248],"category_scores_gemma":[0.0021938684,0.00055041484,0.00078524154,0.002003807,0.0007081304,0.002075253,0.0013546847,0.0013272889,0.0037497035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013590914,0.000052601223,0.00091642985,0.00021648553,0.000052875326,0.00017274932,0.00024981718,0.1347816,0.05579111,0.035175215,0.008150453,0.76430476],"study_design_scores_gemma":[0.000018322444,0.000053568274,0.00061017676,0.000021601782,0.00001713223,0.00020297941,0.000111576046,0.9306895,0.031724516,0.015654309,0.020866921,0.00002937391],"about_ca_topic_score_codex":0.0025616747,"about_ca_topic_score_gemma":0.0029843992,"teacher_disagreement_score":0.012072248,"about_ca_system_score_codex":0.00057392835,"about_ca_system_score_gemma":0.0005882347,"threshold_uncertainty_score":0.040385664},"labels":[],"label_agreement":null},{"id":"W3040129302","doi":"10.48550/arxiv.2007.00779","title":"Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Nvidia","keywords":"Computer science; Compatibility (geochemistry); Annotation; Artificial intelligence; Pixel; Compromise; Data mining; Pattern recognition (psychology); Machine learning; Information retrieval; Engineering","score_opus":0.03899997254555114,"score_gpt":0.1794932138815432,"score_spread":0.14049324133599206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040129302","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20816733,0.001022885,0.7775317,0.00041900284,0.00015451032,0.00010636925,0.0012962938,0.008373394,0.002928655],"genre_scores_gemma":[0.6246794,0.0004722133,0.36025017,0.00020290901,0.00008098689,0.000061008286,0.0047454843,0.000532091,0.008975712],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995122,0.00008963054,0.000028795444,0.00017059021,0.00013200002,0.000066757144],"domain_scores_gemma":[0.9988115,0.0003198742,0.00013594318,0.00038046623,0.00029251003,0.000059667633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075115205,0.0010028429,0.00080711703,0.0013651255,0.00024756382,0.0013717551,0.001155424,0.0012357815,0.001433047],"category_scores_gemma":[0.0022019793,0.00046869117,0.0008896378,0.0010777136,0.0005873344,0.0012495862,0.00077412004,0.0012515689,0.0021018581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009363593,0.00026007995,0.0039357324,0.00040478987,0.00023231586,0.00078511244,0.0002536722,0.27609086,0.08026892,0.0022595073,0.014456615,0.6201161],"study_design_scores_gemma":[0.000013910963,0.000043185177,0.0007041617,0.000015242172,0.000014107018,0.00016789838,0.0000632638,0.972057,0.024074055,0.0014064785,0.0014296426,0.000011042186],"about_ca_topic_score_codex":0.0024085166,"about_ca_topic_score_gemma":0.0045608347,"teacher_disagreement_score":0.0024085166,"about_ca_system_score_codex":0.00045385837,"about_ca_system_score_gemma":0.00058945594,"threshold_uncertainty_score":0.0047940016},"labels":[],"label_agreement":null},{"id":"W3040770432","doi":"","title":"A hydrologically explicit, spatially exact, classification of landforms for Canada at 1:500,000 scale.","year":2016,"lang":"en","type":"article","venue":"EGUGA","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Landform; Scale (ratio); Geology; Geography; Physical geography; Geomorphology; Cartography","score_opus":0.013308417180445559,"score_gpt":0.21411045611545493,"score_spread":0.20080203893500936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040770432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77333546,0.0009694841,0.05475938,0.0014058067,0.00010936167,0.00045175428,0.14007929,0.007332944,0.021556515],"genre_scores_gemma":[0.8551316,0.00042674673,0.08120008,0.000112633476,0.000013770646,0.00010180866,0.053742792,0.00040215682,0.0088683665],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998252,0.000008301271,0.0000063865973,0.000034068304,0.00007448557,0.000051527524],"domain_scores_gemma":[0.99953806,0.000019311656,0.000022340575,0.000044414202,0.0003178337,0.00005811656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002057954,0.00036356496,0.00024074246,0.0015328396,0.0011294612,0.0008854264,0.0008607587,0.0003792766,0.0038614005],"category_scores_gemma":[0.0010457669,0.00029195345,0.00039325567,0.002404049,0.00032786425,0.0005295688,0.0007250189,0.00050542643,0.0010878977],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000509097,0.00056479604,0.25066623,0.0003013721,0.00023230503,0.000359272,0.00076333975,0.11126059,0.020801008,0.006505926,0.105904385,0.50213176],"study_design_scores_gemma":[0.00013195905,0.000040717736,0.59224135,0.00010537059,0.000112511276,0.00014323431,0.001517728,0.3397329,0.008061731,0.0024508801,0.055334967,0.00012669446],"about_ca_topic_score_codex":0.9835871,"about_ca_topic_score_gemma":0.9914585,"teacher_disagreement_score":0.016412914,"about_ca_system_score_codex":0.0056183445,"about_ca_system_score_gemma":0.015323519,"threshold_uncertainty_score":0.040764153},"labels":[],"label_agreement":null},{"id":"W3047818613","doi":"10.1007/978-3-030-55190-2_57","title":"Solving Jigsaw Puzzles Using Variational Autoencoders","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Jigsaw; Computer science; Artificial intelligence; Image (mathematics); Simplicity; Transfer of learning; Machine learning; Range (aeronautics); Pattern recognition (psychology); Mathematics; Engineering","score_opus":0.024276878110261912,"score_gpt":0.2606900988102562,"score_spread":0.23641322069999426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047818613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014655304,0.00054919533,0.9767214,0.00031911794,0.00010188919,0.000028105113,0.00004372823,0.00025360085,0.007327635],"genre_scores_gemma":[0.42912915,0.00082279334,0.5432043,0.00036915523,0.00017872096,0.00026598078,0.00030418488,0.00061401457,0.02511164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998635,0.000040594008,0.000008447291,0.00003470475,0.0000334481,0.00001921846],"domain_scores_gemma":[0.9992211,0.00060910103,0.00004046453,0.000053955766,0.000043299144,0.000031938445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005375174,0.0009373758,0.0012104097,0.00039650055,0.0005256264,0.00095733727,0.0013639124,0.0022155251,0.0041118795],"category_scores_gemma":[0.0021202324,0.0011138682,0.0008820296,0.00048938225,0.0013577912,0.0014753691,0.0018314988,0.0021172522,0.0005467409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027199212,0.00002275917,0.0001996671,0.00007278713,0.000053589156,0.000042324158,0.00007519618,0.9107083,0.0011404373,0.056274164,0.001749421,0.029634189],"study_design_scores_gemma":[0.0000030073363,0.000005326923,0.000020769883,0.000005265756,0.0000025540462,0.000005895242,0.0000059832782,0.98069453,0.00010748584,0.01875157,0.0003945745,0.0000030713422],"about_ca_topic_score_codex":0.0057126144,"about_ca_topic_score_gemma":0.008377173,"teacher_disagreement_score":0.0057126144,"about_ca_system_score_codex":0.00068030437,"about_ca_system_score_gemma":0.00073644053,"threshold_uncertainty_score":0.0137556195},"labels":[],"label_agreement":null},{"id":"W3048456101","doi":"10.1145/3386569.3392468","title":"C-Space tunnel discovery for puzzle path planning","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Heuristics; Motion planning; Path (computing); Planner; Computer science; Motion (physics); Space (punctuation); Configuration space; Artificial intelligence; Tree (set theory); Variety (cybernetics); Any-angle path planning; Computer vision; Algorithm; Robot; Mathematics; Physics; Combinatorics","score_opus":0.03530218092673359,"score_gpt":0.26001967109568663,"score_spread":0.22471749016895304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048456101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022910453,0.00037090588,0.96883744,0.00022855402,0.00004107467,0.00015805708,0.00018777496,0.0027096372,0.0045561763],"genre_scores_gemma":[0.29652548,0.0003327097,0.69916695,0.00011385476,0.000019872603,0.00023911148,0.00072423276,0.0004207925,0.0024570513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936837,0.00014275943,0.000034478697,0.0001803014,0.00019648731,0.00007768997],"domain_scores_gemma":[0.9986552,0.00055572024,0.00013873602,0.0003664198,0.00017466438,0.00010931134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006979666,0.0012213726,0.0009819214,0.001424787,0.001040723,0.0010120687,0.0018379864,0.0016777689,0.004944482],"category_scores_gemma":[0.004625909,0.0006968845,0.0010451549,0.0012766673,0.0014105956,0.0023767506,0.0030188162,0.002081347,0.0010678143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002716403,0.00019270633,0.0020293614,0.00031762605,0.00006307162,0.0003020751,0.00054676906,0.6256296,0.008343596,0.054594953,0.008423568,0.29928505],"study_design_scores_gemma":[0.000024790668,0.00007629876,0.00022122882,0.000026937028,0.000009649652,0.000102398284,0.00009463631,0.96815723,0.0019624468,0.025210135,0.0040953048,0.000018884151],"about_ca_topic_score_codex":0.008190222,"about_ca_topic_score_gemma":0.0116573945,"teacher_disagreement_score":0.008190222,"about_ca_system_score_codex":0.00094596425,"about_ca_system_score_gemma":0.0021799754,"threshold_uncertainty_score":0.016540885},"labels":[],"label_agreement":null},{"id":"W3083364047","doi":"10.20380/gi2020.35","title":"Fine Feature Reconstruction in Point Clouds by Adversarial Domain Translation","year":2020,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Translation (biology); Point cloud; Adversarial system; Feature (linguistics); Computer science; Artificial intelligence; Point (geometry); Domain (mathematical analysis); Computer vision; Pattern recognition (psychology); Mathematics; Geometry; Linguistics","score_opus":0.01940688153973725,"score_gpt":0.22933200488335323,"score_spread":0.209925123343616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083364047","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032041315,0.00011163857,0.96566784,0.00016848081,0.00002850653,0.000026461666,0.00010187924,0.00065768434,0.0011961779],"genre_scores_gemma":[0.8055225,0.00022995721,0.18988408,0.00021068801,0.00005700548,0.000110942536,0.00057209656,0.00017345157,0.0032393462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996871,0.00009230501,0.00001145533,0.000073474715,0.00009672605,0.000038922408],"domain_scores_gemma":[0.9992907,0.00036921815,0.000068206544,0.00015950474,0.000079786114,0.000032463413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068474177,0.000715046,0.00067574787,0.0004207334,0.00023463953,0.0006315744,0.00093391025,0.0008994679,0.0013721236],"category_scores_gemma":[0.0023904014,0.0005276426,0.0007762963,0.00051176664,0.0009157935,0.00087782537,0.0012355644,0.0013403894,0.0004555829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004136964,0.000010610851,0.00037447657,0.000017876662,0.00001259469,0.00005671453,0.000018924187,0.9762772,0.0021317224,0.004065407,0.00069200154,0.016301159],"study_design_scores_gemma":[0.0000023635932,0.000005314962,0.000045947294,0.0000020258149,8.777247e-7,0.000008937666,0.00000239213,0.99783427,0.0004164942,0.0015498237,0.00013016716,0.000001474187],"about_ca_topic_score_codex":0.0061719744,"about_ca_topic_score_gemma":0.0053058844,"teacher_disagreement_score":0.0061719744,"about_ca_system_score_codex":0.0007806047,"about_ca_system_score_gemma":0.0004958478,"threshold_uncertainty_score":0.0122721195},"labels":[],"label_agreement":null},{"id":"W3085214876","doi":"10.14733/cadaps.2021.443-467","title":"Feature-Based Model Difference Identification for Aerospace Sheet Metal Parts","year":2020,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Aerospace; Identification (biology); Feature (linguistics); Sheet metal; Computer science; Engineering; Engineering drawing; Aerospace engineering; Mechanical engineering","score_opus":0.04176868117188623,"score_gpt":0.2537619408730779,"score_spread":0.21199325970119168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085214876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039779007,0.0001745846,0.9578526,0.00007222303,0.000038738028,0.000039879033,0.000056874243,0.0007423232,0.0012437224],"genre_scores_gemma":[0.8748598,0.00012456802,0.12048042,0.000055083856,0.000014686527,0.00008079301,0.00025724643,0.000078098295,0.004049328],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999843,0.00002363718,0.000009962767,0.000043983622,0.000059809277,0.000019477971],"domain_scores_gemma":[0.99971074,0.00014080213,0.000031066465,0.000036202284,0.00007263297,0.000008557695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003788717,0.00029461086,0.0005629108,0.00054088834,0.00024698785,0.00045053885,0.0005074455,0.0005780796,0.0027187115],"category_scores_gemma":[0.0011742443,0.0002618558,0.00064375834,0.00035620763,0.00018914936,0.00044307043,0.00043287157,0.0004894485,0.0006558154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003926529,0.00014000965,0.001916155,0.00017278055,0.00008547687,0.00014418576,0.0001352195,0.45446435,0.03886686,0.0044669486,0.001997646,0.49721766],"study_design_scores_gemma":[0.0000038975354,0.000034192974,0.00060608145,0.0000027944573,0.0000057889806,0.00002746327,0.000008158012,0.9964765,0.0019441309,0.00043789612,0.0004488775,0.0000043208693],"about_ca_topic_score_codex":0.0036259175,"about_ca_topic_score_gemma":0.0031992153,"teacher_disagreement_score":0.0036259175,"about_ca_system_score_codex":0.00031857184,"about_ca_system_score_gemma":0.00042933223,"threshold_uncertainty_score":0.009095013},"labels":[],"label_agreement":null},{"id":"W3089766067","doi":"10.1007/978-3-030-61056-2_1","title":"Composition of Transformations in the Registration of Sets of Points or Oriented Points","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Outlier; Robustness (evolution); Expectation–maximization algorithm; Computer science; Algorithm; Orientation (vector space); Point set registration; Context (archaeology); Maximization; Point (geometry); Mathematics; Artificial intelligence; Mathematical optimization; Maximum likelihood; Statistics; Geometry","score_opus":0.01692331473134778,"score_gpt":0.250738252580868,"score_spread":0.23381493784952023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089766067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023422843,0.00054576265,0.94930923,0.00012440301,0.00025537773,0.00011816662,0.00009350692,0.00083272613,0.025297955],"genre_scores_gemma":[0.16505688,0.0011670871,0.7844766,0.00015820812,0.00015417727,0.00017999862,0.0005320523,0.00091479736,0.047360253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986059,0.00029014354,0.0000811469,0.0004233986,0.00049784075,0.0001015491],"domain_scores_gemma":[0.9993309,0.00023335352,0.00007982707,0.00013890603,0.00015033153,0.000066686305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011471119,0.00051090546,0.0006657623,0.0012511159,0.0008434304,0.0022823405,0.00097492855,0.00078041916,0.0070007415],"category_scores_gemma":[0.00215473,0.0005472017,0.00104514,0.0011687858,0.002025448,0.002723691,0.0023352948,0.0015772607,0.0038775655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003327024,0.00013002918,0.000840757,0.0003832227,0.00006202609,0.00059892365,0.0010478109,0.010537388,0.047379963,0.5632491,0.0046551456,0.3707829],"study_design_scores_gemma":[0.00006991828,0.00046623658,0.0018212836,0.00019294916,0.00014541208,0.0023375456,0.0010159201,0.11836313,0.080801755,0.6550007,0.13969904,0.00008621512],"about_ca_topic_score_codex":0.0007977848,"about_ca_topic_score_gemma":0.00092544704,"teacher_disagreement_score":0.0070007415,"about_ca_system_score_codex":0.00036560238,"about_ca_system_score_gemma":0.00054107374,"threshold_uncertainty_score":0.023419797},"labels":[],"label_agreement":null},{"id":"W30949131","doi":"10.3389/fendo.2019.00164","title":"WWW-VL indexes of web resource for historic preservation","year":2007,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Digital preservation; World Wide Web; Computer science; Business","score_opus":0.01121206152869575,"score_gpt":0.23970060009794092,"score_spread":0.22848853856924517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30949131","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00092366716,0.0036891412,0.0018136997,0.001193692,0.0011156822,0.00028923154,0.12982696,0.0077360347,0.8534119],"genre_scores_gemma":[0.017290903,0.0103552295,0.010493003,0.0023091738,0.0011601526,0.00070367416,0.15556072,0.010764428,0.79136264],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938726,0.00011139244,0.00011272055,0.00009802356,0.00022110502,0.00006949248],"domain_scores_gemma":[0.9974706,0.00081314985,0.00026859881,0.00042008012,0.0006793862,0.0003481424],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008118086,0.00094770076,0.0012081291,0.0051579564,0.0008749628,0.0052501904,0.0015052517,0.0013451333,0.8875823],"category_scores_gemma":[0.0057699056,0.00048197302,0.0005912153,0.0076307515,0.00041625436,0.004615654,0.0032413984,0.001076572,0.72298765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011008851,0.000048506558,0.00055987656,0.0034577374,0.000019087454,0.000108360065,0.00020102227,0.000106030646,0.00036449305,0.0037618722,0.7787003,0.21256262],"study_design_scores_gemma":[0.0000124481985,0.00000898494,0.0005889219,0.0006294117,0.000006569869,0.00007892822,0.0001015864,0.000039631548,0.00013236179,0.0012351125,0.9971566,0.00000944606],"about_ca_topic_score_codex":0.002376927,"about_ca_topic_score_gemma":0.0038124598,"teacher_disagreement_score":0.1124177,"about_ca_system_score_codex":0.00081965484,"about_ca_system_score_gemma":0.0015506579,"threshold_uncertainty_score":0.16035014},"labels":[],"label_agreement":null},{"id":"W3098846330","doi":"","title":"THE TOMB NEXT DOOR: AN UPDATE TO “STATISTICAL ANALYSIS OF AN ARCHEOLOGICAL FIND”","year":2016,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Archaeology; Statistical analysis; Statistical inference; Art; History; Statistics; Mathematics","score_opus":0.019612928323654653,"score_gpt":0.2864016092191377,"score_spread":0.2667886808954831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098846330","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090445095,0.109186925,0.124572754,0.4765968,0.27278572,0.00013913878,0.0018532589,0.003177063,0.010783873],"genre_scores_gemma":[0.010970574,0.076876655,0.12226295,0.3466832,0.41725275,0.0007585403,0.0018108088,0.0050576106,0.01832694],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.96883273,0.012537016,0.0056953696,0.0027231935,0.00956012,0.0006516448],"domain_scores_gemma":[0.7347882,0.18950866,0.009588874,0.018753337,0.043242168,0.0041187853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038314644,0.0020426004,0.0030281588,0.006601476,0.0033714653,0.009546095,0.007518846,0.0115022985,0.0054959403],"category_scores_gemma":[0.22221822,0.0022123712,0.002044522,0.006219099,0.01817583,0.012774952,0.00738202,0.027669918,0.0068798405],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041949206,0.000024196099,0.00044287488,0.00058244297,0.00006992505,0.00015125144,0.0005797214,0.00027920236,0.0002718072,0.021564197,0.89974225,0.07625024],"study_design_scores_gemma":[0.0000071384793,0.00002442884,0.00044736694,0.00056535925,0.000023474444,0.0003697755,0.00011896706,0.0004202389,0.00025262448,0.015183779,0.98252225,0.000064517146],"about_ca_topic_score_codex":0.007399619,"about_ca_topic_score_gemma":0.011598039,"teacher_disagreement_score":0.038314644,"about_ca_system_score_codex":0.003637419,"about_ca_system_score_gemma":0.0077872127,"threshold_uncertainty_score":0.20262963},"labels":[],"label_agreement":null},{"id":"W3116917366","doi":"","title":"Connoly, J. & M. Lake. 2006. Geographical Information Systems in Archaeology. – Cambridge Manuals in Archaeology. Cambridge University Press, United Kingdom","year":2006,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Geographic information system; History; Library science; Geography; Computer science; Cartography","score_opus":0.009161173562954233,"score_gpt":0.2060402842759467,"score_spread":0.19687911071299247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116917366","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007929691,0.82664716,0.015814258,0.06171702,0.009488852,0.00019956012,0.0015839498,0.00047928627,0.08327687],"genre_scores_gemma":[0.026668847,0.7083493,0.05103622,0.014375789,0.005302311,0.00078893866,0.0025280607,0.0013270362,0.18962353],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959293,0.0010767519,0.0006168418,0.00039953567,0.0017949279,0.00018267191],"domain_scores_gemma":[0.9930282,0.0043562506,0.00051846093,0.00049022335,0.0013314601,0.00027533283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004522724,0.0020409955,0.0012023911,0.007713525,0.0021032388,0.005713701,0.002157539,0.0038652741,0.031007906],"category_scores_gemma":[0.010112172,0.0016974725,0.0006743422,0.0093721235,0.0067815413,0.011470468,0.0027831248,0.004491226,0.014679952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020201382,0.0000146442835,0.00030062348,0.0013803516,0.000014048782,0.00013607492,0.0032882649,0.00017288911,0.00022101446,0.039731644,0.68410903,0.27061126],"study_design_scores_gemma":[0.000005762438,0.000009183374,0.0011870558,0.0017935276,0.000005749988,0.00021664011,0.00074988615,0.000057535064,0.00010293216,0.010535585,0.98531926,0.000016921571],"about_ca_topic_score_codex":0.026905188,"about_ca_topic_score_gemma":0.05282699,"teacher_disagreement_score":0.031007906,"about_ca_system_score_codex":0.004970384,"about_ca_system_score_gemma":0.0053149774,"threshold_uncertainty_score":0.10373181},"labels":[],"label_agreement":null},{"id":"W3118738334","doi":"10.24446/4f2i","title":"Reconstructing Burnt Anglo-Saxon Fragments in the Cotton Collection at the British Library","year":2018,"lang":"en","type":"article","venue":"Fragmentology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pontifical Institute of Mediaeval Studies","funders":"","keywords":"Multispectral image; Library science; Archaeology; Geography; History; Computer science; Art; Remote sensing","score_opus":0.010337133156804724,"score_gpt":0.22855205798964934,"score_spread":0.2182149248328446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118738334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.958447,0.0017006155,0.0029552875,0.00129646,0.0000709174,0.00015053684,0.0009044317,0.00013503896,0.03433972],"genre_scores_gemma":[0.9689029,0.001214141,0.008840666,0.00018618186,0.000020406182,0.0000393995,0.000619069,0.00011713285,0.02006006],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999382,0.00013539146,0.000021651604,0.00006546647,0.0002727413,0.00012274741],"domain_scores_gemma":[0.9989492,0.0002868413,0.00013529888,0.00012928765,0.0003165538,0.00018287406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008400781,0.00027581846,0.00019159437,0.0022702126,0.0047643078,0.0032452832,0.0007655734,0.0006056894,0.0060875714],"category_scores_gemma":[0.0023464798,0.00030368078,0.0001692414,0.0033456231,0.0013522807,0.0009722091,0.0017731872,0.0008831325,0.0011585045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017293295,0.0002780029,0.19779696,0.0012375696,0.00013765278,0.08545009,0.20700918,0.005573314,0.049960922,0.0077120024,0.021455588,0.42165947],"study_design_scores_gemma":[0.00003807455,0.00036435935,0.4859919,0.0011131042,0.000098127544,0.021299567,0.26074922,0.0031596627,0.014367024,0.0021997017,0.2104316,0.00018761193],"about_ca_topic_score_codex":0.15630865,"about_ca_topic_score_gemma":0.5625973,"teacher_disagreement_score":0.15630865,"about_ca_system_score_codex":0.0037631607,"about_ca_system_score_gemma":0.0024008385,"threshold_uncertainty_score":0.3107977},"labels":[],"label_agreement":null},{"id":"W3130490649","doi":"10.1017/9789048519590.037","title":"Transparency, Testing and Standards for Archaeological Predictive Modelling","year":2014,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Archaeology; Computer science; Accounting; Business; Geography; Computer security","score_opus":0.02851174686881424,"score_gpt":0.2546625866411389,"score_spread":0.22615083977232464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130490649","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040952135,0.0033008987,0.7699805,0.053069092,0.0022402343,0.0010093893,0.00095243286,0.0023589963,0.12613636],"genre_scores_gemma":[0.55712485,0.0018302407,0.41980505,0.006139063,0.0008151961,0.0017483275,0.0016095431,0.0011561024,0.009771724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7369477,0.1321665,0.034478318,0.012970167,0.07903222,0.004405077],"domain_scores_gemma":[0.4717637,0.2701706,0.034188665,0.1340654,0.08687533,0.0029362869],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1776019,0.0011137389,0.001454029,0.0058179293,0.0047466457,0.019770589,0.0058690817,0.007770875,0.0034522077],"category_scores_gemma":[0.37865078,0.0012432466,0.0024609496,0.0062706806,0.023965716,0.028379887,0.014114794,0.011946658,0.0016998103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012994708,0.00015614838,0.005352721,0.000977732,0.00007546797,0.0003198541,0.010007192,0.0049508777,0.0020120349,0.8492574,0.01174343,0.11501721],"study_design_scores_gemma":[0.000074267235,0.00027681657,0.00639869,0.0039837495,0.00007923444,0.0007480452,0.0061872136,0.013978938,0.0077596093,0.75202984,0.2081796,0.00030404705],"about_ca_topic_score_codex":0.008687292,"about_ca_topic_score_gemma":0.0034505692,"teacher_disagreement_score":0.82239807,"about_ca_system_score_codex":0.008479982,"about_ca_system_score_gemma":0.017403033,"threshold_uncertainty_score":0.9392599},"labels":[],"label_agreement":null},{"id":"W3132009275","doi":"10.5220/0010295704150422","title":"Imaging Reality and Abstraction an Exploration of Natural and Symbolic Patterns","year":2021,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Abstraction; Computer science; Natural (archaeology); Human–computer interaction; Artificial intelligence; Cognitive science; Geology; Epistemology; Psychology","score_opus":0.026988438346995172,"score_gpt":0.2825509521157772,"score_spread":0.25556251376878203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132009275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1061026,0.010155928,0.78698164,0.005051199,0.00014070477,0.000046454632,0.00028156376,0.00051562337,0.09072431],"genre_scores_gemma":[0.7964714,0.0048718713,0.18917912,0.0001963907,0.00011380995,0.00006042153,0.00020333758,0.00013042391,0.008773132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996111,0.00016085544,0.00001605977,0.00008551511,0.00008866033,0.00003780204],"domain_scores_gemma":[0.9993705,0.00033648944,0.00005193736,0.00015165162,0.00005301616,0.000036400343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054918154,0.000437657,0.00039627816,0.0013853295,0.00088910904,0.005094474,0.0009196996,0.00081515237,0.004368241],"category_scores_gemma":[0.0024417834,0.00046243318,0.00064244936,0.001217139,0.0064313067,0.0067971386,0.0020253563,0.0012566288,0.00041358473],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024359868,0.000006384123,0.00034357,0.00010354883,0.000012436441,0.00010495544,0.0014167101,0.0052592503,0.0016697453,0.9682247,0.0006772153,0.022157142],"study_design_scores_gemma":[0.000008622026,0.000018880539,0.0006450242,0.00005120129,0.000012292305,0.00030036469,0.0008933108,0.019795489,0.0009225114,0.9602661,0.017065274,0.000020904334],"about_ca_topic_score_codex":0.0023440889,"about_ca_topic_score_gemma":0.0025724298,"teacher_disagreement_score":0.005094474,"about_ca_system_score_codex":0.0009202816,"about_ca_system_score_gemma":0.00061978283,"threshold_uncertainty_score":0.014613211},"labels":[],"label_agreement":null},{"id":"W3132356962","doi":"10.5220/0010330301130121","title":"Disentangled Rendering Loss for Supervised Material Property Recovery","year":2021,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Rendering (computer graphics); Computer science; Property (philosophy); Artificial intelligence","score_opus":0.017151952394242075,"score_gpt":0.22747914813683448,"score_spread":0.2103271957425924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132356962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014981409,0.0001559426,0.9824248,0.0001562126,0.000030152014,0.000028237191,0.00012145795,0.0008715628,0.0012302463],"genre_scores_gemma":[0.47419754,0.0007536459,0.51248616,0.00025941935,0.00010541788,0.00012905306,0.0011782341,0.0009154895,0.009975049],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993949,0.000099177625,0.000020078814,0.000099911835,0.00032771108,0.00005806857],"domain_scores_gemma":[0.99885106,0.00038456265,0.00012869963,0.00039974385,0.00018524265,0.00005064199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010372713,0.0010654397,0.0009117537,0.00078978203,0.00030410115,0.0012196068,0.0012735655,0.0012822706,0.0030889576],"category_scores_gemma":[0.0033187603,0.00049679,0.0007839963,0.0006360357,0.0008571146,0.0020477136,0.0019659766,0.0022783568,0.0012192734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084084005,0.00032637702,0.0013653038,0.0003126833,0.000116128635,0.00028669403,0.00015478997,0.28243217,0.1133086,0.029249012,0.008652767,0.5629546],"study_design_scores_gemma":[0.000011084717,0.000032703003,0.00029053068,0.000012455527,0.000013646246,0.00011099341,0.000011640127,0.9725864,0.019481935,0.0057840482,0.0016541599,0.000010542588],"about_ca_topic_score_codex":0.0013578882,"about_ca_topic_score_gemma":0.0025574786,"teacher_disagreement_score":0.0030889576,"about_ca_system_score_codex":0.00041541853,"about_ca_system_score_gemma":0.0010666812,"threshold_uncertainty_score":0.010333598},"labels":[],"label_agreement":null},{"id":"W3138907348","doi":"10.21203/rs.3.rs-244364/v1","title":"Unique Chemical Parameters and Microbial Activity Lead to Increased Archaeological Preservation within Vindolanda, UK.","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Bacteroidetes; Proteobacteria; Microbial population biology; Firmicutes; Amplicon sequencing; Ecology; Biology; 16S ribosomal RNA; Bacteria; Paleontology","score_opus":0.05829542128321769,"score_gpt":0.34407856040350304,"score_spread":0.28578313912028536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138907348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825436,0.0003096099,0.00019141298,0.000020762222,0.0000037871516,0.0000047313174,0.0002097286,0.0000049087735,0.0010006432],"genre_scores_gemma":[0.9972747,0.00018378651,0.00066481956,0.000010141329,0.000001653969,0.0000047778503,0.00027057278,0.0000064422384,0.0015830762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998307,0.000019420806,0.000009840719,0.00007254932,0.000034668516,0.00003265006],"domain_scores_gemma":[0.999783,0.000035638564,0.00009939902,0.00001981433,0.000031426935,0.000030696792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016965516,0.0001578978,0.0001494795,0.0005745329,0.00034751787,0.00088033313,0.0002325094,0.00020818796,0.0018925808],"category_scores_gemma":[0.00043716145,0.0002377504,0.00011574803,0.0007580279,0.0006083849,0.00029786443,0.00051591906,0.00015742966,0.00032174253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005742614,0.000029987392,0.78584635,0.00022363223,0.00007598355,0.0012340256,0.0026638855,0.00067121256,0.16402878,0.00025374079,0.000398541,0.04399962],"study_design_scores_gemma":[0.0000018538244,0.00002699145,0.99577624,0.000013705749,0.0000068662694,0.00015665845,0.0007931947,0.00012354765,0.001718673,0.000019048448,0.0013597832,0.0000034126329],"about_ca_topic_score_codex":0.04444744,"about_ca_topic_score_gemma":0.15965669,"teacher_disagreement_score":0.04444744,"about_ca_system_score_codex":0.00060615054,"about_ca_system_score_gemma":0.00032809438,"threshold_uncertainty_score":0.088377476},"labels":[],"label_agreement":null},{"id":"W3142831816","doi":"10.17605/osf.io/h3ec5","title":"Synthetic Animated Mouse (SAM), University of British Columbia, Datasets and 3D-models","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer graphics (images); Computer science; Artificial intelligence","score_opus":0.01170891667945505,"score_gpt":0.1999456642734299,"score_spread":0.18823674759397485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142831816","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043069653,0.0032469626,0.032927208,0.0011921771,0.00047259132,0.00068028044,0.8453952,0.060416743,0.012599234],"genre_scores_gemma":[0.033226855,0.0007895441,0.03006583,0.00013395216,0.000022221318,0.0006312393,0.92757654,0.0021583722,0.0053954204],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991148,0.00013837495,0.000056665995,0.00019290754,0.00039458415,0.00010262668],"domain_scores_gemma":[0.9978967,0.0004016402,0.00008782829,0.0006712258,0.000670996,0.00027163795],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0015369802,0.0024383976,0.0010390333,0.0021937734,0.0013503162,0.0017779117,0.0038106854,0.0016413125,0.010667477],"category_scores_gemma":[0.006125457,0.0010610194,0.0013626212,0.0027331207,0.0009001537,0.0007471887,0.0021489093,0.0023151042,0.010167005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011503771,0.00052954827,0.007964707,0.0014178394,0.00028836986,0.0005707597,0.00025503142,0.055103127,0.0049982443,0.0031571973,0.8621348,0.062430024],"study_design_scores_gemma":[0.0007503247,0.00024277158,0.027942605,0.0009147959,0.0001781694,0.000844296,0.000470765,0.24089602,0.012353627,0.008704782,0.70643026,0.00027166266],"about_ca_topic_score_codex":0.33684254,"about_ca_topic_score_gemma":0.49201664,"teacher_disagreement_score":0.9961893,"about_ca_system_score_codex":0.0024567028,"about_ca_system_score_gemma":0.004194722,"threshold_uncertainty_score":0.6697638},"labels":[],"label_agreement":null},{"id":"W3153849114","doi":"10.30837/bi.2019.2(93).11","title":"A SURVEY OF METHODS OF TEXT-TO-IMAGE TRANSLATION","year":2019,"lang":"en","type":"article","venue":"Bionics of Intelligence","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Compute Canada","funders":"","keywords":"Computer science; Image (mathematics); Image translation; Key (lock); Rank (graph theory); Generative grammar; Translation (biology); Artificial intelligence; Information retrieval; Pattern recognition (psychology); Mathematics","score_opus":0.05777675656469959,"score_gpt":0.36001880006020726,"score_spread":0.30224204349550765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153849114","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003931406,0.019664032,0.9571753,0.0006259007,0.00067010813,0.00021965167,0.00054950087,0.0039143106,0.013249699],"genre_scores_gemma":[0.12911722,0.03227172,0.7789331,0.0011945568,0.0016068933,0.0006401867,0.003495451,0.0027162968,0.050024614],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986609,0.0003184561,0.00012098739,0.00038580364,0.0004416563,0.00007214827],"domain_scores_gemma":[0.9983247,0.00071917486,0.00009992998,0.0005675626,0.00025165224,0.000036912123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010895986,0.0015630443,0.001474751,0.0019565197,0.00054518256,0.0020899156,0.0016174975,0.0015522948,0.013283046],"category_scores_gemma":[0.0045717913,0.0005876009,0.0016788986,0.0023001486,0.0008466552,0.0022851066,0.001317284,0.0014969705,0.010033212],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015157547,0.00009887918,0.00027791952,0.0012758113,0.000104551626,0.00013247304,0.000120579665,0.018037662,0.009499954,0.019954875,0.016916636,0.933429],"study_design_scores_gemma":[0.00011293458,0.00063634873,0.0023144588,0.00073808106,0.00022172299,0.0032635024,0.0003879726,0.56729597,0.07709644,0.08243532,0.26528013,0.00021705047],"about_ca_topic_score_codex":0.0013284645,"about_ca_topic_score_gemma":0.001277921,"teacher_disagreement_score":0.013283046,"about_ca_system_score_codex":0.0006267617,"about_ca_system_score_gemma":0.000697234,"threshold_uncertainty_score":0.044436216},"labels":[],"label_agreement":null},{"id":"W3160488396","doi":"10.18280/ts.380208","title":"Three-Dimensional Target Detection Based on RGB-D Data","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Point cloud; Computer science; RGB color model; Convolutional neural network; Frustum; Computer vision; Detector; Pattern recognition (psychology); Image (mathematics); Mathematics","score_opus":0.02644842770983559,"score_gpt":0.23850512755058267,"score_spread":0.2120566998407471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160488396","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23957345,0.0029792883,0.706124,0.00043190736,0.0005306389,0.00034357343,0.010626482,0.025406936,0.013983753],"genre_scores_gemma":[0.7641359,0.0013696875,0.20647411,0.00030631613,0.000059868264,0.00017644085,0.020679284,0.00048035113,0.006318039],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999166,0.000059803733,0.000026305075,0.00032073996,0.0003103354,0.00011684061],"domain_scores_gemma":[0.9996306,0.000060347233,0.00003194752,0.000107423715,0.00014671897,0.000023011151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035948225,0.0017735815,0.0009660725,0.0017903927,0.00026317633,0.0012615343,0.0011714279,0.0007696241,0.0030428446],"category_scores_gemma":[0.0012513745,0.00048739623,0.0011570635,0.0017257245,0.00036588724,0.0013316954,0.0011611577,0.0008072428,0.0032900025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060226506,0.00031163826,0.011701755,0.00057951035,0.00029214655,0.00045515707,0.00012076414,0.16955017,0.06819738,0.0019085953,0.02234871,0.7239319],"study_design_scores_gemma":[0.000013704011,0.00009775512,0.009011981,0.00004695802,0.000040924053,0.0003447451,0.00006235913,0.940067,0.04072306,0.0012670864,0.008279092,0.000045352004],"about_ca_topic_score_codex":0.015323662,"about_ca_topic_score_gemma":0.015510944,"teacher_disagreement_score":0.015323662,"about_ca_system_score_codex":0.0007012773,"about_ca_system_score_gemma":0.0005694171,"threshold_uncertainty_score":0.03046894},"labels":[],"label_agreement":null},{"id":"W3161751668","doi":"10.1098/rsnr.2020.0068","title":"‘Just put it online’: the Taylor White project as a digitization case study","year":2021,"lang":"en","type":"article","venue":"Notes and Records the Royal Society Journal of the History of Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Digitization; Workflow; Computer science; Field (mathematics); World Wide Web; Metadata; Digital library; Process (computing); White paper; Data collection; Data science; Library science; Multimedia; Sociology; Database; Political science; Telecommunications; Law; Art; Social science","score_opus":0.02857917780917774,"score_gpt":0.27120258920487156,"score_spread":0.24262341139569382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161751668","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45969042,0.001889957,0.027401483,0.046646558,0.00067388196,0.0012286953,0.0006131986,0.00031161192,0.4615441],"genre_scores_gemma":[0.76838166,0.0031000923,0.043444395,0.007070637,0.0002566619,0.0011791246,0.00032033733,0.0006482505,0.17559887],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.988529,0.0076011233,0.00020836147,0.0007076541,0.0020770577,0.0008768072],"domain_scores_gemma":[0.9916739,0.004549116,0.0005054493,0.0011100924,0.0008932335,0.0012681613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008766591,0.00053682365,0.0004020718,0.0018481357,0.02170735,0.0072460636,0.0027370984,0.0040445398,0.009752706],"category_scores_gemma":[0.014453353,0.0006067395,0.00037542195,0.0034662767,0.016770741,0.0069170655,0.007230303,0.003811998,0.0017325578],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000790385,0.00043124286,0.0030958063,0.00026221827,0.000013633094,0.017168595,0.6617874,0.0005859111,0.0016604107,0.19260193,0.06358495,0.058728885],"study_design_scores_gemma":[0.000017617822,0.00011150651,0.0016603246,0.00036838214,0.000013153339,0.0043542036,0.3415544,0.0005261936,0.0018272474,0.011438757,0.6380751,0.000053078988],"about_ca_topic_score_codex":0.06288145,"about_ca_topic_score_gemma":0.17411067,"teacher_disagreement_score":0.06288145,"about_ca_system_score_codex":0.008699402,"about_ca_system_score_gemma":0.011081233,"threshold_uncertainty_score":0.12503088},"labels":[],"label_agreement":null},{"id":"W3170372571","doi":"10.11141/ia.56.6","title":"Re-discovering Archaeological Discoveries. Experiments with reproducing archaeological survey analysis","year":2021,"lang":"en","type":"article","venue":"Internet Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arthur B. McDonald-Canadian Astroparticle Physics Research Institute","funders":"McDonald Institute for Archaeological Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Computer science; Field (mathematics); Data science; Point (geometry); Process (computing); Reading (process); Archaeology; Data mining; Information retrieval; History; Linguistics; Mathematics","score_opus":0.03077719159077683,"score_gpt":0.27993544324642444,"score_spread":0.24915825165564762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170372571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21826257,0.0027025407,0.717158,0.012501142,0.002791785,0.0024902588,0.009173066,0.0086984,0.026222253],"genre_scores_gemma":[0.30057573,0.0007181146,0.68481404,0.0016787226,0.00036513794,0.0019218174,0.0039114566,0.0033508735,0.0026641884],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.8181596,0.12708679,0.014591447,0.020377362,0.018812343,0.00097260857],"domain_scores_gemma":[0.2561113,0.38221467,0.024584373,0.3054983,0.030407751,0.0011837035],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.16559008,0.0014175402,0.0011216956,0.0045397673,0.001978304,0.008295979,0.0055518807,0.003028585,0.0032886486],"category_scores_gemma":[0.5441083,0.0013356018,0.003025579,0.0072395704,0.006363987,0.010823598,0.008027516,0.0040474758,0.0025458618],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023764572,0.0016618263,0.08445926,0.0063415063,0.0030439398,0.0011961891,0.060771782,0.023127131,0.030848762,0.07850174,0.022666896,0.68500453],"study_design_scores_gemma":[0.0010426254,0.003715609,0.07538805,0.0037597802,0.0026962475,0.004302633,0.02613149,0.094861396,0.15458347,0.2197433,0.4123094,0.0014660516],"about_ca_topic_score_codex":0.0035905237,"about_ca_topic_score_gemma":0.0029409595,"teacher_disagreement_score":0.83440995,"about_ca_system_score_codex":0.0023174644,"about_ca_system_score_gemma":0.0027626494,"threshold_uncertainty_score":0.8757345},"labels":[],"label_agreement":null},{"id":"W3170664313","doi":"10.37718/csa.2000.06","title":"Picturing Megaliths in Twentieth- Century Swedish Archaeology","year":2021,"lang":"en","type":"article","venue":"Current Swedish Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Megalith; Archaeology; Vocabulary; Presentation (obstetrics); History; Key (lock); Visual arts; Art; Linguistics; Computer science; Philosophy","score_opus":0.016507662487115892,"score_gpt":0.2704509499673544,"score_spread":0.25394328748023853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170664313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66875887,0.055501547,0.029970996,0.002668167,0.0012330158,0.000086375934,0.0013889709,0.0004508793,0.23994125],"genre_scores_gemma":[0.9193634,0.016523339,0.029779458,0.0002057302,0.0001761124,0.00005080296,0.00053479837,0.0002713671,0.03309499],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9997429,0.0000904399,0.000023960667,0.00003375382,0.00006374733,0.00004517428],"domain_scores_gemma":[0.9994436,0.00029201317,0.00008055844,0.00006264803,0.0000877194,0.000033559372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006367402,0.00043896312,0.00014665164,0.006154768,0.0012413315,0.004501915,0.00034335794,0.00051345804,0.0046698498],"category_scores_gemma":[0.0012041098,0.00033250853,0.00018031937,0.005397536,0.0021350628,0.002029226,0.0014668655,0.00058949104,0.0007372297],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025513078,0.000028664273,0.017283728,0.0017543973,0.00004533494,0.0040618894,0.42624485,0.0015107504,0.01051614,0.13522182,0.021911515,0.3811657],"study_design_scores_gemma":[0.0000067975093,0.00005329723,0.06949623,0.0022174746,0.000055405235,0.0062581236,0.16171727,0.00072211726,0.0034354357,0.011343816,0.74462754,0.00006655359],"about_ca_topic_score_codex":0.005956781,"about_ca_topic_score_gemma":0.031577356,"teacher_disagreement_score":0.006154768,"about_ca_system_score_codex":0.0009500522,"about_ca_system_score_gemma":0.0005839357,"threshold_uncertainty_score":0.015622199},"labels":[],"label_agreement":null},{"id":"W3172591507","doi":"","title":"Unsupervised Part Representation by Flow Capsules","year":2021,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Representation (politics); Flow (mathematics); Artificial intelligence; Mathematics","score_opus":0.03204435531729514,"score_gpt":0.29072273426665507,"score_spread":0.2586783789493599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172591507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062873648,0.0002098629,0.9911078,0.000112745365,0.000061661354,0.000038274753,0.00012357869,0.001320925,0.00073764846],"genre_scores_gemma":[0.2282217,0.000786025,0.75882494,0.0002957147,0.00018496781,0.00019456117,0.0016915185,0.0012729005,0.008527622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940205,0.00013236956,0.000033314172,0.00019388326,0.00015293568,0.00008533195],"domain_scores_gemma":[0.99920744,0.00021018687,0.000071990384,0.00028537662,0.00015761303,0.00006752057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010474289,0.0015007141,0.0016211198,0.0024956283,0.0006682278,0.0021921364,0.0014936258,0.0018631003,0.0057328935],"category_scores_gemma":[0.0020140219,0.0010635615,0.002129987,0.002295651,0.0010489983,0.0024653256,0.0023445385,0.0015033873,0.0023448686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071432383,0.00015220743,0.0009346868,0.00018964158,0.00015412107,0.00019382876,0.000095110736,0.12376332,0.063695595,0.020594247,0.009302019,0.7802109],"study_design_scores_gemma":[0.000020752177,0.00006274998,0.00039970534,0.000017757455,0.000031295487,0.000093316106,0.000017166527,0.96997154,0.015871579,0.009796032,0.003696661,0.000021494105],"about_ca_topic_score_codex":0.003461367,"about_ca_topic_score_gemma":0.0027981754,"teacher_disagreement_score":0.0057328935,"about_ca_system_score_codex":0.0007168821,"about_ca_system_score_gemma":0.0013969649,"threshold_uncertainty_score":0.01917845},"labels":[],"label_agreement":null},{"id":"W3174271645","doi":"","title":"1400 ans d'interactions homme-milieu : évolution des sols sur le Saint-Mont (Remiremont, Vosges)","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"SAINT; Geology; Geomorphology; Geography; Physical geography; Computer science; Computer network","score_opus":0.024771493336259935,"score_gpt":0.23550593781894583,"score_spread":0.21073444448268588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174271645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97429615,0.00071508595,0.00094590953,0.00083163945,0.00010440505,0.00002759402,0.0006399404,0.000056932215,0.02238233],"genre_scores_gemma":[0.9314411,0.0003990739,0.0013532955,0.00022335585,0.00005333595,0.000037741298,0.0005461823,0.00006251252,0.06588338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996835,0.000078371515,0.0000054275665,0.00008226715,0.00006663125,0.0000837977],"domain_scores_gemma":[0.9994653,0.000073258816,0.000043653235,0.000023779392,0.0001595326,0.00023450467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062713603,0.0004036762,0.0003588736,0.0010784777,0.004146496,0.0014115854,0.00051162374,0.0013010777,0.011541448],"category_scores_gemma":[0.000805093,0.00030299652,0.00034143333,0.00079046725,0.0012628477,0.0005651792,0.0014275522,0.0011575569,0.001648326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032215677,0.0010852047,0.47833103,0.000274975,0.00052444404,0.012521024,0.14811593,0.003375987,0.050260153,0.03373472,0.022410447,0.24614464],"study_design_scores_gemma":[0.000044664186,0.00035917206,0.79910165,0.0001919905,0.000060721453,0.0013976528,0.02801938,0.00060792465,0.0021259915,0.0020143192,0.16602303,0.000053469033],"about_ca_topic_score_codex":0.18911336,"about_ca_topic_score_gemma":0.39155513,"teacher_disagreement_score":0.18911336,"about_ca_system_score_codex":0.0031761578,"about_ca_system_score_gemma":0.0015890858,"threshold_uncertainty_score":0.37602526},"labels":[],"label_agreement":null},{"id":"W3175801240","doi":"10.1130/ges02374.1","title":"Precision and accuracy of modal analysis methods for clastic deposits and rocks: A statistical and numerical modeling approach","year":2021,"lang":"en","type":"article","venue":"Geosphere","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Clastic rock; Geology; Point (geometry); Component (thermodynamics); Modal; Line (geometry); Statistics; Mineralogy; Mathematics; Geometry; Paleontology; Physics","score_opus":0.01839163405723,"score_gpt":0.31400425098556173,"score_spread":0.29561261692833174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175801240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10824903,0.00049984147,0.8857715,0.00039238713,0.000035564455,0.00006782247,0.0004297949,0.0021018058,0.0024522454],"genre_scores_gemma":[0.65813375,0.0003217863,0.3399848,0.000052694242,0.000021711308,0.00009644763,0.0004921889,0.00041610145,0.00048051434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951558,0.0011145454,0.00041663565,0.0009370826,0.0021583422,0.00021750254],"domain_scores_gemma":[0.9763658,0.014164242,0.002259997,0.0041453,0.0028966425,0.00016803706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010051538,0.0011920303,0.0010667081,0.0036759006,0.0007738453,0.003772832,0.0021075446,0.0016326444,0.0014085049],"category_scores_gemma":[0.0379445,0.0010649327,0.0013596183,0.0025096163,0.0018943767,0.0027626979,0.0017159351,0.0014743865,0.0004731996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015541218,0.000095390395,0.02679802,0.00020630477,0.00017850341,0.000092048125,0.00047047468,0.8564183,0.014155468,0.011233082,0.00095366663,0.08924327],"study_design_scores_gemma":[0.000005957805,0.000027088037,0.0047194827,0.0000351311,0.000024316945,0.000080432066,0.000059156744,0.9828615,0.007523537,0.0037483554,0.00085762504,0.00005741728],"about_ca_topic_score_codex":0.014196823,"about_ca_topic_score_gemma":0.01009761,"teacher_disagreement_score":0.014196823,"about_ca_system_score_codex":0.0018058667,"about_ca_system_score_gemma":0.0016054873,"threshold_uncertainty_score":0.053158224},"labels":[],"label_agreement":null},{"id":"W3179157986","doi":"10.30465/crtls.2020.30541.1822","title":"Technology and Crafts in Archaeology Critical review over “Archaeological Approaches to Technology”","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Point (geometry); Grammar; Miller; Archaeology; Computer science; History; Linguistics; Government (linguistics); Philosophy; Mathematics","score_opus":0.36059819341461535,"score_gpt":0.5063031697803442,"score_spread":0.14570497636572882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179157986","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040678377,0.90530515,0.00044000088,0.04551224,0.037317187,0.000017967766,0.000031865988,0.000017413959,0.010951455],"genre_scores_gemma":[0.01203393,0.90969175,0.0005598632,0.018639555,0.041316234,0.000044367098,0.000107891916,0.000051419684,0.017555049],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954645,0.0018564966,0.00033792053,0.00031760093,0.0018192973,0.00020411854],"domain_scores_gemma":[0.9840651,0.0074820817,0.00075747626,0.00037519654,0.006898479,0.00042161933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037729393,0.0010018268,0.0013150319,0.004870527,0.0025893508,0.0060893516,0.0011895949,0.002240816,0.0034123817],"category_scores_gemma":[0.009123231,0.0005670397,0.00052294513,0.006592685,0.0056218356,0.0049855686,0.0015246128,0.004401084,0.0013842375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035367433,0.00001363822,0.00017495806,0.0046017654,0.000028427285,0.00029466915,0.0034656816,0.00021239613,0.00026799066,0.034075003,0.857974,0.098856054],"study_design_scores_gemma":[0.0000040581417,0.000012700956,0.0004268638,0.0038569428,0.000014368426,0.00025068747,0.0013666318,0.000033418713,0.00010384965,0.0020258266,0.99189353,0.000011149598],"about_ca_topic_score_codex":0.013345871,"about_ca_topic_score_gemma":0.022327019,"teacher_disagreement_score":0.013345871,"about_ca_system_score_codex":0.0070729153,"about_ca_system_score_gemma":0.012399605,"threshold_uncertainty_score":0.05131781},"labels":[],"label_agreement":null},{"id":"W3185298051","doi":"10.17504/protocols.io.bnjgmcjw","title":"Manual Tracing Study: Tibetan Knot v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tracing; Prime (order theory); Knot (papermaking); Computer science; Mathematics; Combinatorics; Programming language; Engineering","score_opus":0.031863260191329935,"score_gpt":0.29171948394878616,"score_spread":0.2598562237574562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185298051","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41930246,0.0010059255,0.43824056,0.00039012035,0.00076761364,0.009372277,0.0365727,0.032857407,0.061490964],"genre_scores_gemma":[0.41132846,0.0008966697,0.42598927,0.0007692697,0.00022610193,0.017207777,0.04661729,0.00997135,0.086993836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993131,0.000099237914,0.00007724994,0.00022862242,0.0001870887,0.000094829666],"domain_scores_gemma":[0.9981279,0.00025969383,0.000112688176,0.00068035926,0.00062879996,0.00019051226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001990558,0.00080621924,0.00064205006,0.0015000362,0.0014241685,0.0006689905,0.0010601898,0.00074042554,0.054165218],"category_scores_gemma":[0.0024760985,0.0005608099,0.00037717758,0.0011353024,0.00051333226,0.00040557337,0.0006303822,0.00083865796,0.013321932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042086095,0.0009533534,0.020829987,0.0012869504,0.000070003116,0.0014187034,0.0025748364,0.0013839017,0.6409945,0.004177491,0.057101592,0.26500005],"study_design_scores_gemma":[0.00093287934,0.0050949827,0.16649619,0.00051373144,0.00029532894,0.0052995207,0.0010383094,0.014857064,0.43731648,0.0044498984,0.36333987,0.00036577275],"about_ca_topic_score_codex":0.0032752159,"about_ca_topic_score_gemma":0.004193533,"teacher_disagreement_score":0.054165218,"about_ca_system_score_codex":0.00032193522,"about_ca_system_score_gemma":0.0010148387,"threshold_uncertainty_score":0.18120068},"labels":[],"label_agreement":null},{"id":"W3186506496","doi":"10.1017/aap.2021.11","title":"Matching Pragmatic Lithic Analysis and Proper Data Architecture","year":2021,"lang":"en","type":"article","venue":"Advances in Archaeological Practice","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Archaeological Institute of America","keywords":"Artifact (error); Computer science; Documentation; Archaeology; Mesolithic; Interface (matter); Matching (statistics); Architecture; Photogrammetry; Workflow; Database; Artificial intelligence; Geography; Programming language","score_opus":0.015640509220945356,"score_gpt":0.31445424292075946,"score_spread":0.2988137336998141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186506496","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035910614,0.00015967603,0.94921243,0.001212563,0.000043219294,0.00030410383,0.00080441363,0.0042588683,0.008094048],"genre_scores_gemma":[0.35031784,0.0002649014,0.6408106,0.00043939578,0.000056104498,0.00044868662,0.0022219596,0.0016736352,0.0037669223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.97616947,0.009394257,0.0039071077,0.004024998,0.005537796,0.0009664653],"domain_scores_gemma":[0.97188246,0.0064092656,0.0015791237,0.013943641,0.005677003,0.0005084767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01576569,0.0005219613,0.0009271429,0.002819694,0.0013724314,0.011312671,0.002699706,0.0014959133,0.0052666645],"category_scores_gemma":[0.05504677,0.0011195777,0.0009850356,0.0046490026,0.0040518492,0.009832436,0.008779897,0.0018345707,0.002302439],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005798996,0.00025137636,0.024095625,0.00063575123,0.00015252733,0.0007401117,0.0063692364,0.016606165,0.02000145,0.61567056,0.012228459,0.30266896],"study_design_scores_gemma":[0.00014247955,0.00021541363,0.005733617,0.00033399794,0.000148568,0.00073013693,0.0049951514,0.18431292,0.042677566,0.649107,0.11145732,0.00014580383],"about_ca_topic_score_codex":0.004591919,"about_ca_topic_score_gemma":0.003821224,"teacher_disagreement_score":0.01576569,"about_ca_system_score_codex":0.001520234,"about_ca_system_score_gemma":0.0044918717,"threshold_uncertainty_score":0.0833779},"labels":[],"label_agreement":null},{"id":"W3195146941","doi":"10.32920/ryerson.14656626.v1","title":"Dematerializing Digital Objects: Denial, Decay, Detritus and Other Matters of Fact","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"York University","keywords":"Materiality (auditing); Object (grammar); Historicity (philosophy); Digital media; Computer science; Variety (cybernetics); Ubiquitous computing; Digital transformation; Aesthetics; Multimedia; Human–computer interaction; Art; World Wide Web; Artificial intelligence; Political science; Law","score_opus":0.015313009128400204,"score_gpt":0.24125302702078147,"score_spread":0.22594001789238127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195146941","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14180411,0.047174603,0.058832023,0.17542638,0.0028782263,0.00020113832,0.00017249136,0.0002296007,0.5732814],"genre_scores_gemma":[0.9560008,0.0096103735,0.007069536,0.0073323757,0.00080079347,0.00012089684,0.00008967828,0.00023250331,0.018743038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.983024,0.008900873,0.0008408316,0.0021022707,0.0041300477,0.0010019703],"domain_scores_gemma":[0.9718099,0.016718464,0.0020579894,0.006028634,0.0025546446,0.0008303748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019113122,0.0006417102,0.0010531789,0.0032432326,0.0138954455,0.026473025,0.001868624,0.0048710704,0.004001633],"category_scores_gemma":[0.03469051,0.0006866294,0.00076138676,0.0030396539,0.13201764,0.05025602,0.01520564,0.0098324455,0.0007410708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008858835,0.000008836466,0.00032443216,0.000068128924,0.0000049635446,0.00012222656,0.05353525,0.00004351017,0.00008482461,0.9350958,0.0016663055,0.009037007],"study_design_scores_gemma":[0.000012349636,0.000018944282,0.0005357605,0.0006589146,0.000015912494,0.0007154412,0.06283322,0.00017999958,0.00027367752,0.6363409,0.29838508,0.000029812634],"about_ca_topic_score_codex":0.0049757827,"about_ca_topic_score_gemma":0.0038013184,"teacher_disagreement_score":0.026473025,"about_ca_system_score_codex":0.009487784,"about_ca_system_score_gemma":0.0062547955,"threshold_uncertainty_score":0.10108107},"labels":[],"label_agreement":null},{"id":"W3195854776","doi":"","title":"Quantitative Image Analysis of Natural and Experimental Graphic Textures","year":2018,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Natural (archaeology); Computer vision; Computer science; Artificial intelligence; Computer graphics (images); Image (mathematics); Geology","score_opus":0.009044862863341517,"score_gpt":0.2870750844792898,"score_spread":0.2780302216159483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195854776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8192831,0.00056267617,0.17251368,0.00014777658,0.000046039728,0.00008164282,0.00079363567,0.00081754435,0.0057538967],"genre_scores_gemma":[0.9605842,0.00019484977,0.036920328,0.000018046516,0.000019087403,0.000037998554,0.0003880822,0.00019790292,0.0016394693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978167,0.000034325007,0.000012637463,0.000038417627,0.00009431121,0.000038675873],"domain_scores_gemma":[0.9987931,0.00052122766,0.000113570764,0.00014993802,0.00035672035,0.00006539633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000452282,0.00025290597,0.00022308729,0.0026340506,0.0003131602,0.00095411425,0.00033376113,0.00034377276,0.0051328666],"category_scores_gemma":[0.0016792078,0.00020536492,0.0002263886,0.0011302889,0.00074007036,0.0006151385,0.00028556204,0.00042267042,0.0002987404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005570863,0.00007484469,0.0017369926,0.0003241877,0.00002325283,0.00008226856,0.00024149219,0.0040354873,0.9346224,0.0041135643,0.00041389823,0.053774502],"study_design_scores_gemma":[0.000078442914,0.00033873075,0.07821832,0.00004449503,0.000113529204,0.0015104049,0.0006592463,0.123564035,0.7863573,0.0037130984,0.005313599,0.00008880816],"about_ca_topic_score_codex":0.001196297,"about_ca_topic_score_gemma":0.0011675445,"teacher_disagreement_score":0.0051328666,"about_ca_system_score_codex":0.00041499326,"about_ca_system_score_gemma":0.000255432,"threshold_uncertainty_score":0.017171085},"labels":[],"label_agreement":null},{"id":"W3198876090","doi":"","title":"The copper-based cauldrons from the Grimsby site (Ontario, Canada): INAA and preliminary observations under optical and scanning electronic microscopes","year":2006,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Copper; Optical microscope; Microscope; Materials science; Remote sensing; Scanning electron microscope; Optics; Geology; Physics; Metallurgy","score_opus":0.009286328661146382,"score_gpt":0.19658459941191272,"score_spread":0.18729827075076635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198876090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97625625,0.0005228296,0.003623907,0.00040664268,0.000059898677,0.00008419706,0.0018873102,0.00019658722,0.01696236],"genre_scores_gemma":[0.9726849,0.00017094266,0.0059490646,0.00006805033,0.000006624343,0.000020008994,0.00070354185,0.000054380955,0.020342436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999716,0.000005174972,0.0000053513145,0.000046435267,0.00015821595,0.0000687168],"domain_scores_gemma":[0.9997329,0.000016903181,0.000022909733,0.000020984253,0.0001617544,0.000044545082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002474845,0.00026807847,0.00039521558,0.0011650621,0.0027122987,0.0007878236,0.0007312939,0.00056066667,0.002995559],"category_scores_gemma":[0.00046424844,0.00018646475,0.00021744675,0.0013123814,0.0006498289,0.00035773855,0.00030569994,0.0006937796,0.0005837223],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008658202,0.00006389308,0.043993063,0.00020242514,0.000023696737,0.002713711,0.0018821796,0.002346598,0.9172054,0.0034990408,0.0066900076,0.020514112],"study_design_scores_gemma":[0.000072059775,0.00020535714,0.555803,0.00006200104,0.000045374036,0.0014879043,0.0027467783,0.0050293077,0.36755133,0.0006400478,0.06627635,0.00008044908],"about_ca_topic_score_codex":0.56017303,"about_ca_topic_score_gemma":0.73154336,"teacher_disagreement_score":0.43982697,"about_ca_system_score_codex":0.0045147105,"about_ca_system_score_gemma":0.0028591566,"threshold_uncertainty_score":0.8848344},"labels":[],"label_agreement":null},{"id":"W3200366508","doi":"10.15184/aqy.2021.84","title":"The coming tsunami of digital artefacts","year":2021,"lang":"en","type":"article","venue":"Antiquity","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mainstream; Sensibility; Mindset; Archaeology; History; Computer science; Art; Political science; Literature; Law; Artificial intelligence","score_opus":0.012078168358023953,"score_gpt":0.24419218468501094,"score_spread":0.232114016326987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200366508","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116098665,0.13929205,0.02705691,0.25462672,0.014085711,0.00008071074,0.0007467781,0.0006181011,0.44739443],"genre_scores_gemma":[0.7861038,0.070486136,0.018323796,0.017911647,0.005065162,0.00011419092,0.00047491674,0.00054633006,0.10097401],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982231,0.00062297075,0.000078594785,0.00021397902,0.0006185055,0.00024281155],"domain_scores_gemma":[0.99701405,0.0012094608,0.00012335334,0.0007928752,0.00045776073,0.00040256177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033077945,0.00055116846,0.00039140324,0.0018864062,0.0039267605,0.012483708,0.0009584868,0.003247011,0.0148758665],"category_scores_gemma":[0.007356526,0.00035256025,0.00053832005,0.002049927,0.01636006,0.016063312,0.007486726,0.004464322,0.002637228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013018565,0.000027030057,0.0009264737,0.0002989418,0.000015591162,0.0007738978,0.010073547,0.00036017143,0.0012544625,0.8262519,0.05294035,0.1069475],"study_design_scores_gemma":[0.000006714077,0.000027796792,0.0011419865,0.00031435236,0.000007974669,0.00085629825,0.006279895,0.00020802951,0.00038089545,0.10864212,0.88211095,0.000022885677],"about_ca_topic_score_codex":0.0038895796,"about_ca_topic_score_gemma":0.0043632975,"teacher_disagreement_score":0.0148758665,"about_ca_system_score_codex":0.003259559,"about_ca_system_score_gemma":0.0015880247,"threshold_uncertainty_score":0.049764693},"labels":[],"label_agreement":null},{"id":"W3203181224","doi":"10.3390/jimaging7100203","title":"Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery","year":2021,"lang":"en","type":"article","venue":"Journal of Imaging","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Mass spectrometry imaging; Computer science; Artificial intelligence; Mass spectrometry; MALDI imaging; Medical physics; Pattern recognition (psychology); Medicine; Matrix-assisted laser desorption/ionization; Chemistry","score_opus":0.011632019172176733,"score_gpt":0.30105971232249185,"score_spread":0.28942769315031514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203181224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19506966,0.0058979765,0.7873977,0.0022188735,0.00021183696,0.00021309119,0.00040552145,0.0043713655,0.004214067],"genre_scores_gemma":[0.58137375,0.0026890521,0.41246858,0.00056957593,0.00013257208,0.000111658606,0.00041527706,0.0003679433,0.0018715898],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991265,0.00026706202,0.00006565365,0.00014013394,0.00034080472,0.000059888633],"domain_scores_gemma":[0.9990144,0.0003118202,0.00018495764,0.00015151013,0.0002411403,0.00009618215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016494022,0.0006909677,0.0005450906,0.0017008747,0.00032600688,0.0013997003,0.000849278,0.001082611,0.0015052948],"category_scores_gemma":[0.0036034265,0.0006645667,0.00055933016,0.0007975686,0.00051243126,0.0013589548,0.0016304284,0.0008396143,0.00093485706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012706027,0.00041986772,0.033617012,0.000650578,0.00026345885,0.0014188867,0.0003825361,0.027888576,0.3776996,0.0027191825,0.004588057,0.5490816],"study_design_scores_gemma":[0.00008860541,0.0013021538,0.03737264,0.00028640527,0.00041865272,0.0068949857,0.0006025007,0.52750367,0.39712805,0.01064284,0.017538933,0.0002204929],"about_ca_topic_score_codex":0.00096094405,"about_ca_topic_score_gemma":0.0026890761,"teacher_disagreement_score":0.0017008747,"about_ca_system_score_codex":0.00049445545,"about_ca_system_score_gemma":0.00088958105,"threshold_uncertainty_score":0.008723021},"labels":[],"label_agreement":null},{"id":"W3204131971","doi":"","title":"Guides (English): Resources by Document Type - Maps and Geospatial Data: MERN Data (Quebec)","year":2013,"lang":"en","type":"libguides","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Computer science; Geospatial PDF; Geography; Information retrieval; World Wide Web; Cartography","score_opus":0.026562303821680837,"score_gpt":0.26090867386288047,"score_spread":0.23434637004119963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204131971","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009912504,0.00052657217,0.0026175363,0.0006417364,0.00019350532,0.00034497745,0.7932588,0.0075131766,0.19391245],"genre_scores_gemma":[0.0076359757,0.0012772854,0.011095478,0.00044201768,0.00007711804,0.0006165253,0.47886887,0.009676765,0.49031],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988557,0.00008900643,0.00009102423,0.00014330162,0.0006347044,0.00018632553],"domain_scores_gemma":[0.99164295,0.00065196864,0.00019402779,0.0005947842,0.0066133477,0.00030299762],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014467915,0.0015077961,0.0012688526,0.0067082876,0.0022747936,0.0046537113,0.0031706928,0.0011799397,0.5927935],"category_scores_gemma":[0.008707807,0.0012016308,0.0008234776,0.014981688,0.00064051535,0.0028006101,0.0014294827,0.0012556805,0.32163906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022784296,0.000015901074,0.0003703637,0.00017160882,0.0000049676682,0.000016779879,0.00009120066,0.00018328319,0.00008873179,0.00085712806,0.9796897,0.0184876],"study_design_scores_gemma":[0.000033530632,0.0000049443624,0.0035498098,0.0002532885,0.000009724321,0.000027419752,0.00016606886,0.0004461732,0.00036509323,0.000507911,0.99460524,0.000030797357],"about_ca_topic_score_codex":0.96176636,"about_ca_topic_score_gemma":0.9717591,"teacher_disagreement_score":0.40720648,"about_ca_system_score_codex":0.015184193,"about_ca_system_score_gemma":0.028679224,"threshold_uncertainty_score":0.5808306},"labels":[],"label_agreement":null},{"id":"W3204771293","doi":"10.1016/j.procs.2021.08.206","title":"A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration","year":2021,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ministerio de Ciencia e Innovación; Ontario Ministry of Research, Innovation and Science; Universidad de Málaga","keywords":"Context (archaeology); Computer science; Task (project management); Artificial intelligence; Object (grammar); Deep learning; Composition (language); Archaeology; History; Linguistics","score_opus":0.013598746988688255,"score_gpt":0.24548316595115546,"score_spread":0.2318844189624672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204771293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12638174,0.000415195,0.8699037,0.00036984563,0.000073324794,0.000018488454,0.00023953682,0.0006876357,0.0019105382],"genre_scores_gemma":[0.88066787,0.00028037463,0.11314998,0.00011453584,0.000038800426,0.000043448035,0.0005921707,0.00010551416,0.005007188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997769,0.000048770085,0.000009409168,0.0000703877,0.000054821186,0.00003970478],"domain_scores_gemma":[0.99958533,0.00014730087,0.00006596347,0.000062161016,0.00011042388,0.000028726125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006930709,0.00046906882,0.0004848738,0.00041885258,0.00019153683,0.00071834016,0.0008423895,0.0011067326,0.0013026604],"category_scores_gemma":[0.0027767457,0.00027215487,0.00045259664,0.00042342054,0.0006618731,0.00075795245,0.00073558127,0.0009321776,0.0005458895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002595007,0.000070277965,0.003474885,0.00011726512,0.000038225066,0.00020842858,0.000084752006,0.8860041,0.018950045,0.0074279807,0.0015923276,0.08177216],"study_design_scores_gemma":[0.0000017588651,0.00001640554,0.00043098984,0.0000084937865,0.000002374571,0.000024792847,0.0000065542567,0.99602294,0.0017797342,0.0012401858,0.0004616543,0.000004050221],"about_ca_topic_score_codex":0.004392138,"about_ca_topic_score_gemma":0.0036625897,"teacher_disagreement_score":0.004392138,"about_ca_system_score_codex":0.0005544521,"about_ca_system_score_gemma":0.0007126909,"threshold_uncertainty_score":0.008733153},"labels":[],"label_agreement":null},{"id":"W3206090173","doi":"10.1002/pra2.552","title":"Out of the Past: The Challenges of B.C.E. Dates in Metadata","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Metadata; Interoperability; Encoding (memory); World Wide Web; Variety (cybernetics); Computer science; Geospatial metadata; Metadata repository; Meta Data Services","score_opus":0.013747524659290666,"score_gpt":0.23754198441021215,"score_spread":0.2237944597509215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206090173","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025373444,0.029752107,0.16628842,0.43506742,0.012721875,0.00014663316,0.00089388393,0.0012114589,0.32854483],"genre_scores_gemma":[0.5398594,0.043317776,0.24790119,0.06260567,0.010035802,0.00036586984,0.0010314274,0.002391263,0.09249151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98819554,0.005716744,0.0009776442,0.00092919916,0.0036144839,0.00056642253],"domain_scores_gemma":[0.9347831,0.034443688,0.0025869661,0.011600464,0.01392122,0.0026645656],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0264601,0.0003858373,0.00070282514,0.0065632546,0.009770622,0.03102779,0.001849873,0.005669354,0.009979385],"category_scores_gemma":[0.054720096,0.0007109074,0.00063314504,0.0094134435,0.017845353,0.057681054,0.008939852,0.007850064,0.003988393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029347995,0.000025194575,0.0009606759,0.00012641106,0.0000051176316,0.00011921255,0.0046092523,0.0002777199,0.00024859895,0.8902303,0.03587975,0.06748855],"study_design_scores_gemma":[0.000006065969,0.000014089026,0.0005058181,0.00072296074,0.000009205621,0.00036228084,0.008765768,0.000950716,0.0006737938,0.2727727,0.71517044,0.00004624824],"about_ca_topic_score_codex":0.01619077,"about_ca_topic_score_gemma":0.02029423,"teacher_disagreement_score":0.9689722,"about_ca_system_score_codex":0.00752311,"about_ca_system_score_gemma":0.009351776,"threshold_uncertainty_score":0.13993603},"labels":[],"label_agreement":null},{"id":"W3211857642","doi":"10.23977/cpcs.2021.51005","title":"Research on the Method of Material Scheme Matching Based on Deep Learning","year":2021,"lang":"en","type":"article","venue":"Computing Performance and Communication systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Perceptron; Computer science; Plan (archaeology); Scheme (mathematics); sort; Artificial intelligence; Industrial engineering; Data mining; Artificial neural network; Engineering drawing; Engineering; Information retrieval; Mathematics","score_opus":0.05506435204944968,"score_gpt":0.3431835104129259,"score_spread":0.28811915836347624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211857642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006691299,0.0005065321,0.9892519,0.00022685526,0.00010438123,0.00004618801,0.000065506756,0.00069451536,0.0024128854],"genre_scores_gemma":[0.40039402,0.0018406607,0.57857275,0.0006084935,0.00022116309,0.0002756479,0.0008548527,0.00035335912,0.01687903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904746,0.00011583604,0.000070362184,0.0002932269,0.00038352222,0.00008953276],"domain_scores_gemma":[0.9994497,0.00011684458,0.00006670848,0.00008463172,0.00023891414,0.000043219065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013110159,0.0007772586,0.0010087178,0.0015034154,0.00056058733,0.001340757,0.0019762698,0.0011114558,0.0043818853],"category_scores_gemma":[0.0021989087,0.0005457956,0.0010190256,0.0016350673,0.0007518711,0.0037563788,0.0013020409,0.001588709,0.0008564134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016878515,0.0001251886,0.0030957197,0.00038321188,0.00015670169,0.00012750186,0.00015441592,0.17724167,0.017009115,0.045805346,0.006779101,0.7489533],"study_design_scores_gemma":[0.000012563541,0.000032350308,0.00048706817,0.00001615506,0.000027299768,0.000083316816,0.000020845919,0.9806362,0.005871084,0.009392583,0.0034032918,0.000017306398],"about_ca_topic_score_codex":0.0064947954,"about_ca_topic_score_gemma":0.003952776,"teacher_disagreement_score":0.0064947954,"about_ca_system_score_codex":0.0014352362,"about_ca_system_score_gemma":0.0020863842,"threshold_uncertainty_score":0.014658928},"labels":[],"label_agreement":null},{"id":"W3213008141","doi":"10.1016/j.ifacol.2021.08.045","title":"A kNN approach based on ICP metrics for 3D scans matching: an application to the sawing process","year":2021,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Process (computing); Matching (statistics); Feature (linguistics); Volume (thermodynamics); Feature extraction; Artificial intelligence; Industrial engineering; Machine learning; Data mining; Engineering; Operating system; Mathematics","score_opus":0.019712614908221,"score_gpt":0.28444713488031664,"score_spread":0.2647345199720956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213008141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0121121975,0.00033523364,0.98349804,0.00017910358,0.000071382165,0.000112269925,0.00012139159,0.0022800856,0.001290311],"genre_scores_gemma":[0.16031422,0.00033439946,0.8352744,0.00016758166,0.00007252394,0.00011871391,0.0004914393,0.00046724273,0.002759543],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99802506,0.00030564703,0.00014743325,0.00055607466,0.00079629757,0.00016950862],"domain_scores_gemma":[0.9981299,0.0005804545,0.00012418206,0.0002535808,0.0008172881,0.00009454374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025617357,0.0014024397,0.0018360531,0.0042551444,0.0013730916,0.0020788903,0.0024442214,0.0028646688,0.004916992],"category_scores_gemma":[0.00532555,0.00075941073,0.0013001845,0.0047286674,0.00092533237,0.0021598265,0.0023694432,0.0018384333,0.002022933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001709591,0.00017695525,0.001958348,0.00013072458,0.00008615413,0.00012845719,0.00016721238,0.25272506,0.0071273698,0.0047709644,0.0041346783,0.7284232],"study_design_scores_gemma":[0.0000070829906,0.000024537514,0.00039531942,0.0000073171454,0.0000080265,0.00005614578,0.000040707742,0.99363697,0.0017184893,0.002828472,0.0012614563,0.000015538779],"about_ca_topic_score_codex":0.02680758,"about_ca_topic_score_gemma":0.024885017,"teacher_disagreement_score":0.02680758,"about_ca_system_score_codex":0.0014551356,"about_ca_system_score_gemma":0.0023738998,"threshold_uncertainty_score":0.053303063},"labels":[],"label_agreement":null},{"id":"W3213933617","doi":"10.29169/1927-5129.2021.17.16","title":"Catalog of Coefficients for Estimating Bulk and Shear Moduli as a Function of Lithology","year":2021,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geology; Lithology; Dolomite; Shear (geology); Moduli; Porosity; Mineralogy; Petrology; Geotechnical engineering","score_opus":0.01696132734854659,"score_gpt":0.26551887394058643,"score_spread":0.24855754659203985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213933617","genre_codex":"methods","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08694968,0.002784764,0.8859742,0.00010951551,0.00010048041,0.0003987389,0.007534573,0.008134184,0.008013862],"genre_scores_gemma":[0.2208647,0.0025788776,0.7543353,0.000041269006,0.00006735628,0.00084487937,0.017053122,0.0011815991,0.0030329092],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990381,0.00020157249,0.00011695898,0.0001574771,0.00041525075,0.00007059084],"domain_scores_gemma":[0.99440247,0.0016951171,0.00047402427,0.0013122275,0.0019927667,0.00012335391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031600327,0.0016629867,0.0010340662,0.00741127,0.0005007054,0.0010655645,0.0011554192,0.0006045454,0.003270751],"category_scores_gemma":[0.010557785,0.00058687053,0.00073105976,0.0040459074,0.00026549518,0.000993519,0.0006158301,0.0007343447,0.0030850617],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042960857,0.00029587958,0.040094137,0.00066002447,0.00021051313,0.00016256681,0.00007312542,0.04606616,0.045457378,0.007999663,0.015762778,0.8427882],"study_design_scores_gemma":[0.0002275683,0.0007471781,0.07836385,0.00042994568,0.000519239,0.0017696662,0.00013723005,0.61470145,0.22456865,0.009092628,0.069060646,0.0003819704],"about_ca_topic_score_codex":0.0024113962,"about_ca_topic_score_gemma":0.0019470063,"teacher_disagreement_score":0.00741127,"about_ca_system_score_codex":0.00040060878,"about_ca_system_score_gemma":0.0014002116,"threshold_uncertainty_score":0.01671201},"labels":[],"label_agreement":null},{"id":"W3215061121","doi":"10.5281/zenodo.3908397","title":"CINECA_Discovery Service Catalogue_D1.1","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"European Commission","keywords":"Service (business); Computer science; Business; Marketing","score_opus":0.036805684219716445,"score_gpt":0.2226046351019041,"score_spread":0.18579895088218765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215061121","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023687477,0.0006848913,0.24994044,0.0031120484,0.0012008637,0.001798834,0.3207506,0.2904578,0.12968579],"genre_scores_gemma":[0.017889706,0.0011877792,0.16723254,0.0027533434,0.00060957565,0.0028240199,0.6679275,0.06931394,0.07026158],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99365634,0.0009935448,0.00062656833,0.0012516377,0.0027921952,0.0006796607],"domain_scores_gemma":[0.9729302,0.0056619304,0.0010296117,0.010967093,0.0070837336,0.002327433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010118775,0.0018979376,0.0026495177,0.0063174292,0.002441925,0.01095443,0.005051929,0.00382949,0.108484216],"category_scores_gemma":[0.031515095,0.002109441,0.0027472982,0.007086111,0.0012523261,0.0073220124,0.010363358,0.0035274655,0.142201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032865116,0.00007175879,0.0015787304,0.00067472184,0.00006616002,0.00019523426,0.00050917006,0.0008112693,0.002924728,0.026256481,0.9142414,0.052341744],"study_design_scores_gemma":[0.000052152074,0.000018611841,0.0007058548,0.0000738926,0.000012852738,0.00012608405,0.00009749322,0.0018313089,0.0016869458,0.0073286467,0.9880007,0.00006543725],"about_ca_topic_score_codex":0.044222463,"about_ca_topic_score_gemma":0.030574808,"teacher_disagreement_score":0.108484216,"about_ca_system_score_codex":0.0044613094,"about_ca_system_score_gemma":0.010998208,"threshold_uncertainty_score":0.3629158},"labels":[],"label_agreement":null},{"id":"W341594901","doi":"","title":"Would the digitization of historical documents lessen the value and experience of historical research","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Digitization; Value (mathematics); History; Comparative historical research; Epistemology; Computer science; Data science; Sociology; Social science; Philosophy","score_opus":0.036005374881039526,"score_gpt":0.2629705419478042,"score_spread":0.2269651670667647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W341594901","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26579964,0.012543218,0.015680255,0.2854562,0.005363872,0.0001768264,0.001400544,0.00030482767,0.41327465],"genre_scores_gemma":[0.8965903,0.010821653,0.010725802,0.013227178,0.0026864249,0.00007781506,0.0006000167,0.00017621776,0.06509447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99594814,0.0020869935,0.00022573773,0.00041974604,0.00081225677,0.0005072545],"domain_scores_gemma":[0.9597259,0.017343594,0.0043854197,0.010293802,0.005621168,0.0026301176],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.013048782,0.0002563914,0.00046325315,0.0034365065,0.0029849755,0.014008506,0.0010854924,0.0033061868,0.026857153],"category_scores_gemma":[0.04578915,0.000426579,0.00034687956,0.005114838,0.010838863,0.01956462,0.0043824427,0.00173259,0.0056904405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006007082,0.00021632403,0.021107268,0.00092204026,0.000051167524,0.0003393647,0.026757723,0.00063381443,0.00280074,0.4806947,0.04167795,0.4241982],"study_design_scores_gemma":[0.000060056256,0.0001932091,0.018230997,0.0010276733,0.000070889604,0.00066516764,0.026283842,0.00035079464,0.0036071106,0.09756489,0.8518647,0.00008068291],"about_ca_topic_score_codex":0.0071261534,"about_ca_topic_score_gemma":0.0143282395,"teacher_disagreement_score":0.997015,"about_ca_system_score_codex":0.0042965105,"about_ca_system_score_gemma":0.006518897,"threshold_uncertainty_score":0.089846194},"labels":[],"label_agreement":null},{"id":"W38471362","doi":"10.1016/j.intimp.2024.111807","title":"Reflectance Spectra of Heated Palagonites","year":2001,"lang":"en","type":"article","venue":"Lunar and Planetary Science Conference","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"National Natural Science Foundation of China","keywords":"Reflectivity; Remote sensing; Environmental science; Spectral line; Geography; Optics; Physics; Astronomy","score_opus":0.01430462963797496,"score_gpt":0.2285434342597684,"score_spread":0.21423880462179343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W38471362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9126088,0.003508117,0.016456945,0.0010064975,0.0004104501,0.000044514123,0.0031793353,0.0011796182,0.0616057],"genre_scores_gemma":[0.968844,0.0019298276,0.006741795,0.00049134943,0.00006034224,0.000068016016,0.0023058038,0.00052000675,0.019038908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966156,0.000033170316,0.0000067527644,0.000119849006,0.000106452375,0.00007226218],"domain_scores_gemma":[0.9997079,0.00009746133,0.000045806282,0.000025653226,0.00010277322,0.000020447093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024723288,0.0006142348,0.0003460688,0.0007890756,0.0006521005,0.00046073805,0.00057469006,0.0010745442,0.018179834],"category_scores_gemma":[0.00037031248,0.00028625905,0.0003827246,0.00090796914,0.00054657,0.0006161727,0.00035163318,0.0015436161,0.0022623967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001026851,0.00010142652,0.0018343152,0.0003692587,0.000053147065,0.0004897984,0.00046552505,0.0018369447,0.97162896,0.00102262,0.0047298637,0.01644142],"study_design_scores_gemma":[0.00006155213,0.0003946008,0.03284025,0.00013761112,0.000100445875,0.00086134754,0.0012807435,0.015376516,0.92655545,0.0009274593,0.02134616,0.000117918615],"about_ca_topic_score_codex":0.0018580988,"about_ca_topic_score_gemma":0.0023710353,"teacher_disagreement_score":0.018179834,"about_ca_system_score_codex":0.0004915756,"about_ca_system_score_gemma":0.00019933778,"threshold_uncertainty_score":0.0608176},"labels":[],"label_agreement":null},{"id":"W413873848","doi":"10.1520/stp10920s","title":"Satellite Based Standardized Terrain Maps: A Case Study","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Terrain; Remote sensing; Satellite; Geography; Cartography; Environmental science; Computer science; Engineering; Aerospace engineering","score_opus":0.019207518877318024,"score_gpt":0.250619499874186,"score_spread":0.231411980996868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W413873848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.896859,0.0009494709,0.024134038,0.0012529406,0.00007880887,0.00067811116,0.006531364,0.00054427155,0.06897213],"genre_scores_gemma":[0.9483091,0.0013055082,0.039131068,0.00007249909,0.000020597136,0.00013052822,0.0038745946,0.00013271226,0.007023399],"study_design_codex":"design_other","study_design_gemma":"case_report","domain_scores_codex":[0.99930966,0.00020791637,0.000032252243,0.000037569716,0.00035286316,0.000059771166],"domain_scores_gemma":[0.9986565,0.0005873544,0.000085839674,0.00021374329,0.00038142872,0.00007508077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008008838,0.00032923208,0.00014670381,0.0012977064,0.0010188139,0.001321415,0.0007321031,0.00064520666,0.001989186],"category_scores_gemma":[0.003060197,0.00018062396,0.00027843897,0.00892617,0.00080178556,0.00058861525,0.0005296816,0.00034522772,0.0002865261],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054101454,0.00075810915,0.1408682,0.0014618583,0.00015890482,0.04474809,0.02443883,0.17007709,0.0070992806,0.0411501,0.06537149,0.5033271],"study_design_scores_gemma":[0.00018369459,0.00041100907,0.27280238,0.00048139668,0.0001990414,0.01773953,0.047447614,0.15005691,0.009043258,0.010337809,0.49109772,0.00019960845],"about_ca_topic_score_codex":0.41847703,"about_ca_topic_score_gemma":0.6731812,"teacher_disagreement_score":0.41847703,"about_ca_system_score_codex":0.0031520233,"about_ca_system_score_gemma":0.0018814846,"threshold_uncertainty_score":0.83208245},"labels":[],"label_agreement":null},{"id":"W4206252807","doi":"10.24917/20837275.13.2.9","title":"Report on the International Scientific Conference “Progect 2021. Towards a Contemporary Understanding of Progressive Rock and Metal”, 19–21, 26–28, May 2021, held online, University of Ottawa, Canada","year":2021,"lang":"en","type":"article","venue":"Annales Universitatis Paedagogicae Cracoviensis Studia de Cultura","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"The Internet; Coronavirus disease 2019 (COVID-19); Pandemic; Event (particle physics); Political science; Library science; Media studies; History; Sociology; Medicine; World Wide Web; Computer science","score_opus":0.07190617331522481,"score_gpt":0.2706816735936598,"score_spread":0.198775500278435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206252807","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010863187,0.04919514,0.002683069,0.23770705,0.20050678,0.0018802637,0.03363138,0.0007193459,0.46281382],"genre_scores_gemma":[0.020840628,0.009826404,0.0014205442,0.012290135,0.00948739,0.00048447348,0.014361794,0.00040231732,0.93088627],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99679476,0.00018311298,0.0000638598,0.00021524317,0.0016873736,0.0010557049],"domain_scores_gemma":[0.9946114,0.00019118427,0.00013345528,0.00013227951,0.0020062365,0.0029253983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040156543,0.0016145793,0.0007481466,0.0017230518,0.0061975755,0.008780391,0.0021386815,0.005621097,0.07884754],"category_scores_gemma":[0.0041248263,0.0004686909,0.0007162539,0.0016772802,0.001903675,0.0027821735,0.004933081,0.006754036,0.020841455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006212661,0.000032154723,0.00031172484,0.0000869572,0.0000048076467,0.0000962871,0.00017426795,0.000084167994,0.00022845133,0.0010985285,0.9921748,0.0056457575],"study_design_scores_gemma":[0.000007949117,0.000013331693,0.0027371494,0.000060066213,0.0000043060995,0.00001782862,0.00031976847,0.000028808487,0.00011935583,0.00016696488,0.9965149,0.000009504326],"about_ca_topic_score_codex":0.48035735,"about_ca_topic_score_gemma":0.6684033,"teacher_disagreement_score":0.51964265,"about_ca_system_score_codex":0.016030742,"about_ca_system_score_gemma":0.05120267,"threshold_uncertainty_score":0.9551227},"labels":[],"label_agreement":null},{"id":"W4206764764","doi":"10.1007/978-1-84628-622-3_2","title":"The Modelling and Simulation Process","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Construct (python library); Process (computing); Computer science; Management science; Engineering; Programming language","score_opus":0.03804348263242918,"score_gpt":0.2732567375751307,"score_spread":0.2352132549427015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206764764","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020647938,0.0006960822,0.91747975,0.0009116146,0.00031310137,0.00014574682,0.00018964426,0.0008184849,0.07738083],"genre_scores_gemma":[0.14653477,0.0054405853,0.6551575,0.0009468048,0.0004299244,0.0007858841,0.0012261466,0.0012745725,0.18820377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993893,0.00014339117,0.000025922363,0.00010461748,0.00030594226,0.000030825253],"domain_scores_gemma":[0.99939346,0.00026619903,0.00002176771,0.00019640794,0.00010128724,0.000020830485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009189292,0.00085057016,0.0009365214,0.0006678066,0.00063624093,0.003366856,0.0016848231,0.0016095426,0.014329634],"category_scores_gemma":[0.0023825148,0.0006468382,0.0011413553,0.0006027943,0.0015969914,0.002471981,0.0017933693,0.0016537296,0.007237096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031604846,0.000036904243,0.00021844688,0.00026348254,0.000041710486,0.00014781405,0.00032370354,0.14029744,0.0046459953,0.74030876,0.011762055,0.101922154],"study_design_scores_gemma":[0.000016422191,0.000039830054,0.00019312545,0.00015357349,0.000036928057,0.00031726563,0.00009503715,0.33295628,0.005833269,0.39453864,0.26577467,0.00004492329],"about_ca_topic_score_codex":0.002070141,"about_ca_topic_score_gemma":0.0009852453,"teacher_disagreement_score":0.014329634,"about_ca_system_score_codex":0.00074797735,"about_ca_system_score_gemma":0.0014946416,"threshold_uncertainty_score":0.047937453},"labels":[],"label_agreement":null},{"id":"W4206877382","doi":"","title":"From the source to the object : tracing the archaeological materials using LA-ICP-MS.","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Tracing; Computer science; Object (grammar); Archaeology; Geology; Artificial intelligence; Geography; Programming language","score_opus":0.02616264783046197,"score_gpt":0.24859836864814577,"score_spread":0.2224357208176838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206877382","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35069582,0.0053547826,0.6072807,0.0012872687,0.0003961449,0.00027960906,0.0026451997,0.003615375,0.028445175],"genre_scores_gemma":[0.5213876,0.0033083097,0.45960876,0.00021971526,0.0000708665,0.00016056435,0.0007964245,0.0008951999,0.013552609],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995759,0.000033779706,0.000018080129,0.00013391578,0.0002024244,0.000035833596],"domain_scores_gemma":[0.99971765,0.00008330137,0.000031632047,0.000057073925,0.00009831835,0.0000120254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005064221,0.0005725425,0.00029959236,0.0026603572,0.0011173749,0.002828998,0.0009325249,0.001926819,0.0040833764],"category_scores_gemma":[0.0012588701,0.00063195947,0.00032330668,0.0027169734,0.0012370215,0.0020838215,0.0012131134,0.0016712643,0.0029325262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060963695,0.000095466676,0.009664103,0.0012094822,0.00008542876,0.0013587334,0.0050357664,0.004212449,0.671867,0.006693076,0.006057448,0.29311132],"study_design_scores_gemma":[0.00005737802,0.00018521429,0.03303086,0.00041445717,0.00017150934,0.0057607098,0.005877664,0.038434308,0.77996695,0.018405458,0.117555134,0.00014037006],"about_ca_topic_score_codex":0.003279013,"about_ca_topic_score_gemma":0.0048737614,"teacher_disagreement_score":0.0040833764,"about_ca_system_score_codex":0.00040707435,"about_ca_system_score_gemma":0.0009026952,"threshold_uncertainty_score":0.0136601925},"labels":[],"label_agreement":null},{"id":"W4210560015","doi":"10.46887/2004-04","title":"Aeromagnetic Survey, Snowbird-Wholdaia Lakes Area, Northwest Territories, 065D/075A(E half)","year":2022,"lang":"en","type":"paratext","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Geology; Aeromagnetic survey; Archaeology; Physical geography","score_opus":0.018262000346219873,"score_gpt":0.23552151540477956,"score_spread":0.21725951505855967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210560015","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33668157,0.00070427865,0.001979916,0.00084293686,0.00030365557,0.0007855204,0.33349258,0.0010180674,0.32419142],"genre_scores_gemma":[0.19121672,0.0009694495,0.0063400194,0.0003718839,0.000118838514,0.00051185396,0.11171301,0.00049319054,0.688265],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998932,0.000011912695,0.000005266511,0.000029042652,0.00003248698,0.000028076127],"domain_scores_gemma":[0.99975914,0.000025061927,0.000021167489,0.00001846108,0.00009911371,0.000076999844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016106885,0.00031653317,0.00019218096,0.0010769387,0.0012256205,0.00054213125,0.00046505567,0.00029711568,0.06660339],"category_scores_gemma":[0.00030928047,0.00021334089,0.00015714261,0.0014116331,0.00028721613,0.00033126064,0.00042295258,0.0003471275,0.023913514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000534163,0.00051230815,0.18849432,0.00044175136,0.00009862446,0.0011863215,0.002084791,0.0018744483,0.009183554,0.0012797806,0.57899,0.21531993],"study_design_scores_gemma":[0.00007345161,0.0000700184,0.62243485,0.00008727237,0.000019199408,0.00016623146,0.0016962561,0.0015259298,0.001618285,0.00020486068,0.37208793,0.000015683945],"about_ca_topic_score_codex":0.5297807,"about_ca_topic_score_gemma":0.82665217,"teacher_disagreement_score":0.4702193,"about_ca_system_score_codex":0.0015756583,"about_ca_system_score_gemma":0.0028788722,"threshold_uncertainty_score":0.9459771},"labels":[],"label_agreement":null},{"id":"W4213051256","doi":"10.1017/cbo9781139626439","title":"The Severn Tunnel","year":2013,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overwork; Engineering; Activity-based costing; Forensic engineering; History; Cartography; Geography; Business; Economics","score_opus":0.010927294453462012,"score_gpt":0.17278809030755124,"score_spread":0.16186079585408922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213051256","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015611172,0.011630999,0.0013077052,0.0020552776,0.002346566,0.00002583445,0.000462122,0.00029417855,0.9803162],"genre_scores_gemma":[0.0049096853,0.0030642822,0.000758376,0.0002969129,0.00011464395,0.000011068822,0.00025579607,0.00015650077,0.99043274],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997749,0.00001743411,0.000008971803,0.0000750909,0.00009521865,0.000028449207],"domain_scores_gemma":[0.9998872,0.000013135165,0.0000063815933,0.000015609883,0.000039395185,0.00003814494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023937854,0.0007849804,0.00026692718,0.0008817637,0.0023933358,0.003958839,0.00057229074,0.0012620534,0.1431335],"category_scores_gemma":[0.0005230391,0.0003644676,0.00022892714,0.0010616741,0.0012313003,0.003434355,0.002245891,0.0018402052,0.033927012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004512979,0.000015070997,0.0002843084,0.00018388868,0.0000022668185,0.00020741239,0.00089055096,0.0002217664,0.00066226884,0.097222395,0.71900684,0.1812581],"study_design_scores_gemma":[7.543286e-7,0.0000035873584,0.00010809453,0.000038903014,3.2576708e-7,0.00011468303,0.00007882118,0.000013986837,0.000038498063,0.0009466947,0.99865353,0.0000021570622],"about_ca_topic_score_codex":0.014363712,"about_ca_topic_score_gemma":0.05601299,"teacher_disagreement_score":0.1431335,"about_ca_system_score_codex":0.0023632667,"about_ca_system_score_gemma":0.00230275,"threshold_uncertainty_score":0.47882926},"labels":[],"label_agreement":null},{"id":"W4213177755","doi":"10.1016/j.cag.2022.02.008","title":"Foreword to the special section on SIBGRAPI 2021","year":2022,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Section (typography); Special section; Computer science; Track (disk drive); Selection (genetic algorithm); Library science; Artificial intelligence; Engineering physics; Operating system; Engineering","score_opus":0.010895140021163973,"score_gpt":0.21748514173642217,"score_spread":0.20659000171525818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213177755","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013588405,0.011159438,0.00060284697,0.0392984,0.9251143,0.000112843656,0.00032416589,0.00021104299,0.023041047],"genre_scores_gemma":[0.0008635589,0.010505402,0.00048865494,0.055679042,0.7144134,0.00017515874,0.0005356388,0.00036129306,0.21697795],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991104,0.000111863345,0.000098781115,0.00014419397,0.00041795956,0.00011690723],"domain_scores_gemma":[0.9953483,0.0009628728,0.00037312458,0.00018478978,0.0018204863,0.0013103802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015711176,0.0024228632,0.0023458682,0.0030731559,0.0022487917,0.0038158677,0.0016820288,0.008002328,0.15059254],"category_scores_gemma":[0.005588271,0.00071254343,0.001450356,0.0014055944,0.00077319413,0.0026239108,0.0026989228,0.0069965995,0.1386634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028030261,0.000013199785,0.000024929608,0.00007114875,0.0000025979377,0.00004982264,0.0000023694322,0.000012219663,0.00008835516,0.00013205646,0.989081,0.010494346],"study_design_scores_gemma":[0.000015424099,0.000033527467,0.0003757655,0.00017399338,0.000008907777,0.0001702602,0.0000109459315,0.0000603232,0.00009104537,0.0005504813,0.9985,0.000009370966],"about_ca_topic_score_codex":0.0018262645,"about_ca_topic_score_gemma":0.0046356614,"teacher_disagreement_score":0.15059254,"about_ca_system_score_codex":0.0014241468,"about_ca_system_score_gemma":0.0017398776,"threshold_uncertainty_score":0.5037822},"labels":[],"label_agreement":null},{"id":"W4220891343","doi":"10.18280/ts.390114","title":"Application of Image Processing and Identification Technology for Digital Archive Information Management","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Identification (biology); Digital image processing; Image processing; Histogram; Color management; Adaptive histogram equalization; Information retrieval; Computer vision; Digital image; Projection (relational algebra); Histogram equalization; Document image processing; Computer graphics (images); Image (mathematics); Multimedia; Artificial intelligence; Image segmentation","score_opus":0.004351580698971883,"score_gpt":0.20783193758605778,"score_spread":0.2034803568870859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220891343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025747906,0.0032699408,0.95692694,0.0006084792,0.000201802,0.00011070266,0.00004674754,0.0015375034,0.0115500465],"genre_scores_gemma":[0.27288428,0.004441973,0.7140958,0.00031635398,0.00024715546,0.00007815687,0.00011294954,0.00011479435,0.0077085164],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933285,0.00013024783,0.00004829126,0.000107162035,0.00034020934,0.000041272113],"domain_scores_gemma":[0.9994259,0.00017295095,0.000049787075,0.00013172104,0.00019771425,0.000021865999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064579264,0.0002966628,0.00024499686,0.001821823,0.00042047037,0.00096493866,0.00062480127,0.00061519915,0.0019639772],"category_scores_gemma":[0.0010745401,0.0002081312,0.00035166467,0.0014138664,0.00051340985,0.0014141991,0.00058808277,0.0005616468,0.00085590675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007573977,0.000057067224,0.0014741332,0.0002933441,0.000033345063,0.00023987255,0.00032261238,0.0042106193,0.09907123,0.015074567,0.0042072297,0.8749404],"study_design_scores_gemma":[0.00004096523,0.00043080543,0.009013327,0.0002096056,0.00018144627,0.003125301,0.0005943358,0.21306862,0.49013263,0.022942167,0.2600715,0.00018940387],"about_ca_topic_score_codex":0.0007775034,"about_ca_topic_score_gemma":0.0005502344,"teacher_disagreement_score":0.0019639772,"about_ca_system_score_codex":0.00042477628,"about_ca_system_score_gemma":0.00044451936,"threshold_uncertainty_score":0.0065701604},"labels":[],"label_agreement":null},{"id":"W4225106811","doi":"10.5281/zenodo.6503071","title":"Study of Language-independent package management with Flatpak (Dataset)","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; R package; Programming language; Natural language processing","score_opus":0.018453795676244115,"score_gpt":0.23758596306527413,"score_spread":0.21913216738903002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225106811","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004968303,0.0007334385,0.011474589,0.0013333675,0.00055806263,0.00040861865,0.94470793,0.029479679,0.0063359113],"genre_scores_gemma":[0.00900708,0.00023351795,0.010735491,0.001055864,0.00009954086,0.0018248837,0.9638894,0.01036202,0.0027922196],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97455215,0.008677236,0.0028876977,0.00557653,0.006827554,0.0014789051],"domain_scores_gemma":[0.8555575,0.05649429,0.00562544,0.05061703,0.028984945,0.0027206845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026622059,0.002005782,0.0017152326,0.0055803433,0.0022920116,0.004368243,0.004608914,0.0025640042,0.047944497],"category_scores_gemma":[0.1123202,0.0012806089,0.0030286126,0.007083911,0.0010607904,0.0046067117,0.0054477244,0.0034365768,0.06275577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026038903,0.000054299686,0.0022494579,0.0010173267,0.00015871985,0.00004942006,0.00009041609,0.00034685095,0.0004422491,0.0017679422,0.9835856,0.009977344],"study_design_scores_gemma":[0.00065668847,0.000134724,0.013189778,0.0007856003,0.00026946896,0.0003309793,0.00024728308,0.0025740326,0.0032080975,0.005479698,0.9729495,0.00017411004],"about_ca_topic_score_codex":0.016608015,"about_ca_topic_score_gemma":0.017874528,"teacher_disagreement_score":0.047944497,"about_ca_system_score_codex":0.0030107743,"about_ca_system_score_gemma":0.007894412,"threshold_uncertainty_score":0.16039026},"labels":[],"label_agreement":null},{"id":"W4230775316","doi":"10.32920/ryerson.14656626","title":"Dematerializing Digital Objects: Denial, Decay, Detritus and Other Matters of Fact","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"York University","keywords":"Materiality (auditing); Object (grammar); Historicity (philosophy); Digital media; Computer science; Variety (cybernetics); Ubiquitous computing; Aesthetics; Multimedia; Human–computer interaction; Art; World Wide Web; Artificial intelligence; Political science; Law","score_opus":0.015313009128400204,"score_gpt":0.24125302702078147,"score_spread":0.22594001789238127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230775316","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14180411,0.047174603,0.058832023,0.17542638,0.0028782263,0.00020113832,0.00017249136,0.0002296007,0.5732814],"genre_scores_gemma":[0.9560008,0.0096103735,0.007069536,0.0073323757,0.00080079347,0.00012089684,0.00008967828,0.00023250331,0.018743038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.983024,0.008900873,0.0008408316,0.0021022707,0.0041300477,0.0010019703],"domain_scores_gemma":[0.9718099,0.016718464,0.0020579894,0.006028634,0.0025546446,0.0008303748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019113122,0.0006417102,0.0010531789,0.0032432326,0.0138954455,0.026473025,0.001868624,0.0048710704,0.004001633],"category_scores_gemma":[0.03469051,0.0006866294,0.00076138676,0.0030396539,0.13201764,0.05025602,0.01520564,0.0098324455,0.0007410708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008858835,0.000008836466,0.00032443216,0.000068128924,0.0000049635446,0.00012222656,0.05353525,0.00004351017,0.00008482461,0.9350958,0.0016663055,0.009037007],"study_design_scores_gemma":[0.000012349636,0.000018944282,0.0005357605,0.0006589146,0.000015912494,0.0007154412,0.06283322,0.00017999958,0.00027367752,0.6363409,0.29838508,0.000029812634],"about_ca_topic_score_codex":0.0049757827,"about_ca_topic_score_gemma":0.0038013184,"teacher_disagreement_score":0.026473025,"about_ca_system_score_codex":0.009487784,"about_ca_system_score_gemma":0.0062547955,"threshold_uncertainty_score":0.10108107},"labels":[],"label_agreement":null},{"id":"W4231522659","doi":"10.5558/tfc2014-093","title":"Archaeological Predictive Model – Manning Diversified Forest Products Ltd., P15 Forest Management Unit","year":2014,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Digital elevation model; Raster graphics; Terrain; Forest management; Vegetation (pathology); Elevation (ballistics); Forest inventory; Environmental science; Logging; Physical geography; Archaeology; Forestry; Geology; Geography; Remote sensing; Computer science; Cartography; Mathematics","score_opus":0.021051304707407757,"score_gpt":0.23120404267347391,"score_spread":0.21015273796606615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231522659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21576616,0.0010838709,0.4825815,0.0014803009,0.00039556331,0.0013439697,0.025399432,0.017108638,0.25484052],"genre_scores_gemma":[0.6483575,0.0010551813,0.22068624,0.00018451778,0.00005686451,0.00078935194,0.025517058,0.0011574347,0.1021958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996151,0.00003253173,0.000007918482,0.00004418728,0.0002563589,0.00004404049],"domain_scores_gemma":[0.9996321,0.000054145057,0.000020039177,0.000024446575,0.00024342806,0.00002580729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064902613,0.0007682248,0.00042418693,0.00062698784,0.0008796854,0.0015618801,0.0013061595,0.00051634933,0.00884292],"category_scores_gemma":[0.0008948356,0.00043184098,0.00042798498,0.0010962058,0.00037243633,0.0007313044,0.0004964229,0.0006669444,0.0028479819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025760665,0.000092935734,0.009644422,0.00010167036,0.00003303947,0.00014215337,0.00012721916,0.85968167,0.0021578008,0.008418306,0.030608445,0.08873473],"study_design_scores_gemma":[0.000035057543,0.00003504701,0.0018719237,0.00002489895,0.000023234816,0.00003978378,0.0000790943,0.96360415,0.0010012169,0.0012764985,0.03198368,0.00002544992],"about_ca_topic_score_codex":0.46168268,"about_ca_topic_score_gemma":0.44843844,"teacher_disagreement_score":0.46168268,"about_ca_system_score_codex":0.003878702,"about_ca_system_score_gemma":0.006081692,"threshold_uncertainty_score":0.9179908},"labels":[],"label_agreement":null},{"id":"W4232140046","doi":"10.1007/978-1-4939-7131-2_100379","title":"Feature Extraction","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Extraction (chemistry); Pattern recognition (psychology); Computer science; Artificial intelligence; Chromatography; Chemistry","score_opus":0.013010507460509704,"score_gpt":0.23762161653600117,"score_spread":0.22461110907549148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232140046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075136297,0.0022813217,0.89149976,0.00045408477,0.00078800373,0.0006395657,0.00494805,0.014365254,0.077510364],"genre_scores_gemma":[0.09335773,0.005106354,0.6703263,0.00090536854,0.00055835827,0.00085461774,0.021698141,0.0024355988,0.20475762],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999653,0.00001093356,0.000018717437,0.0001263059,0.00014931434,0.00004169375],"domain_scores_gemma":[0.9997305,0.00003318741,0.000015592468,0.0000829654,0.00012431396,0.0000133734375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027548496,0.0013539206,0.00091465504,0.0020251097,0.0007013956,0.0015711938,0.0011118801,0.0007125214,0.04800015],"category_scores_gemma":[0.000806112,0.0004750519,0.0007517543,0.0019992057,0.00032723375,0.0018369089,0.0013500648,0.00079575385,0.049396466],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073920295,0.000036064237,0.00027715787,0.00024821062,0.000016664639,0.000105076346,0.000031870317,0.00090914324,0.057987723,0.0058477693,0.039283138,0.8951833],"study_design_scores_gemma":[0.000039612096,0.00025833963,0.004917205,0.00024435768,0.00014873991,0.00205215,0.00015018324,0.049355205,0.24966294,0.020730536,0.6723392,0.00010148038],"about_ca_topic_score_codex":0.0011429328,"about_ca_topic_score_gemma":0.0014723206,"teacher_disagreement_score":0.04800015,"about_ca_system_score_codex":0.00036386176,"about_ca_system_score_gemma":0.0007172942,"threshold_uncertainty_score":0.16057652},"labels":[],"label_agreement":null},{"id":"W4234124168","doi":"10.4095/222469","title":"Residual total magnetic field, Deschambault Lake aeromagnetic survey, Saskatchewan, Little Bear Lake 73 I/07, Saskatchewan","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Geology; Residual; Magnetic survey; Field survey; Archaeology; Physical geography; Hydrology (agriculture); Geography; Seismology; Magnetic anomaly; Paleontology; Magnetic field; Geotechnical engineering; Mathematics","score_opus":0.016618630195008244,"score_gpt":0.24596940368367273,"score_spread":0.22935077348866448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234124168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72625643,0.00069675705,0.0022260924,0.000899393,0.00009539078,0.00048436873,0.18412866,0.0006048403,0.08460812],"genre_scores_gemma":[0.7217433,0.0013124748,0.010271744,0.0004996592,0.000041613675,0.000568409,0.08021132,0.00023839579,0.18511304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958795,0.000030251002,0.000022147096,0.0000877786,0.00019636299,0.00007548875],"domain_scores_gemma":[0.9986571,0.000096358424,0.00007768859,0.00010059789,0.00090209476,0.00016615631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046930718,0.00058521575,0.00038270687,0.002835675,0.0025132357,0.0010087447,0.0014918597,0.00041539755,0.009895541],"category_scores_gemma":[0.0010062088,0.0004111234,0.00027006763,0.004339795,0.00050520466,0.00054251245,0.0008166474,0.00053167815,0.0030892584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077289116,0.0003070854,0.76141536,0.00036119515,0.00038510124,0.0017361873,0.0030497578,0.004784714,0.016251633,0.002039633,0.107253335,0.10164313],"study_design_scores_gemma":[0.00007752792,0.00004368292,0.952768,0.00008031982,0.00007175981,0.00014213471,0.0025699048,0.0018898477,0.003617653,0.00031667922,0.038369358,0.00005307586],"about_ca_topic_score_codex":0.9693038,"about_ca_topic_score_gemma":0.9926439,"teacher_disagreement_score":0.030696213,"about_ca_system_score_codex":0.00924755,"about_ca_system_score_gemma":0.023370963,"threshold_uncertainty_score":0.067096055},"labels":[],"label_agreement":null},{"id":"W4236819933","doi":"10.1109/wsc.2015.7408329","title":"Machine learning-based metamodels for sawing simulation","year":2015,"lang":"en","type":"article","venue":"2015 Winter Simulation Conference (WSC)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Exploit; Machine learning; Kernel (algebra); Decision tree; Artificial intelligence; Ridge; Regression; k-nearest neighbors algorithm; Tree (set theory); Kernel method; Data mining; Support vector machine; Mathematics","score_opus":0.09454771569774759,"score_gpt":0.33474182276728803,"score_spread":0.24019410706954045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236819933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044391442,0.00009788345,0.9504108,0.00022367275,0.00003779636,0.0001073903,0.00048587145,0.0019512713,0.0022938834],"genre_scores_gemma":[0.68934435,0.0001397124,0.30670953,0.00013933159,0.000026996446,0.0004339798,0.0013105636,0.0004247279,0.0014707824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999373,0.00023947931,0.000046362136,0.000099519566,0.00019005538,0.000051589217],"domain_scores_gemma":[0.9968003,0.001803787,0.00028883337,0.0005326755,0.0004425755,0.00013171295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015572824,0.00070902787,0.00083012215,0.0008302503,0.0004530138,0.0009085321,0.00159996,0.001397098,0.003224623],"category_scores_gemma":[0.0061702523,0.00044098735,0.0011956721,0.0005535682,0.0007304031,0.0011491982,0.0009012136,0.0013892613,0.00049223535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012167293,0.000017291315,0.00028495034,0.000010345824,0.0000054485245,0.000009871065,0.000007250133,0.99424416,0.00038336072,0.0024834871,0.000089632485,0.0024519868],"study_design_scores_gemma":[0.0000016376367,0.000004944994,0.000021718006,0.000001318257,5.1806904e-7,0.0000020529812,0.0000010088562,0.9982999,0.00026296554,0.001285453,0.0001169766,0.0000014808563],"about_ca_topic_score_codex":0.003684055,"about_ca_topic_score_gemma":0.0029886658,"teacher_disagreement_score":0.003684055,"about_ca_system_score_codex":0.0013675876,"about_ca_system_score_gemma":0.0010262008,"threshold_uncertainty_score":0.010787427},"labels":[],"label_agreement":null},{"id":"W4237145295","doi":"10.1007/978-1-4939-7131-2_101424","title":"Virtual Items","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.01403663770011544,"score_gpt":0.21489055035179438,"score_spread":0.20085391265167896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237145295","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000577951,0.0009985603,0.005107938,0.00035641404,0.0014540215,0.000060543854,0.0006963622,0.0007888241,0.9899594],"genre_scores_gemma":[0.001865369,0.0005639826,0.0011485664,0.00015381606,0.00017883009,0.000031589414,0.00064351084,0.0002779287,0.99513644],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974304,0.000029450943,0.000008551788,0.000053841377,0.00013212951,0.000032962987],"domain_scores_gemma":[0.9996873,0.000035902864,0.0000094072675,0.000074992015,0.000103350896,0.000089099565],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027243787,0.0011785569,0.0006039491,0.001781667,0.0012834662,0.00471143,0.0015520679,0.0009886237,0.676547],"category_scores_gemma":[0.0009524794,0.00039453333,0.0005065838,0.0016923711,0.00046472883,0.003907404,0.0034142565,0.0013182164,0.4565542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067934394,0.000052856827,0.00007717918,0.00018677817,0.000005756301,0.000100730635,0.00013219634,0.00027145343,0.0015388312,0.03213975,0.6850498,0.28037673],"study_design_scores_gemma":[0.0000034161126,0.000011311581,0.000069220565,0.00004245058,0.0000017774895,0.00006631038,0.000046881712,0.00009426808,0.0001883612,0.0034201113,0.99605227,0.0000035707365],"about_ca_topic_score_codex":0.0006151628,"about_ca_topic_score_gemma":0.0017029966,"teacher_disagreement_score":0.676547,"about_ca_system_score_codex":0.0005214516,"about_ca_system_score_gemma":0.00050248107,"threshold_uncertainty_score":0.46136642},"labels":[],"label_agreement":null},{"id":"W4237886844","doi":"10.17077/tid1-k2pe","title":"Best Practices for Mapping Digital Commons Metadata for Harvesting by SHARE","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Metadata; Commons; Computer science; Best practice; Data science; World Wide Web; Political science; Law","score_opus":0.16551480680707203,"score_gpt":0.35579738058333954,"score_spread":0.1902825737762675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237886844","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010544698,0.002205165,0.9087122,0.0077642733,0.00050340925,0.0008684455,0.0020052234,0.007911383,0.059485193],"genre_scores_gemma":[0.14184833,0.0034177813,0.8250734,0.001491783,0.00018467946,0.000732172,0.0061203213,0.0037982934,0.017333189],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98125654,0.0053193434,0.0018827405,0.002887791,0.0072250986,0.0014286056],"domain_scores_gemma":[0.9355791,0.007417902,0.0014673236,0.041207016,0.012925527,0.0014031884],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.020974644,0.0011827,0.0011535343,0.0092029935,0.0045962757,0.02163809,0.006024164,0.0040543512,0.015077931],"category_scores_gemma":[0.04610738,0.0014062284,0.001908156,0.013529139,0.005095236,0.020225076,0.011742193,0.0047423,0.011997997],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025707783,0.00038525468,0.0065556597,0.0016155584,0.00024125227,0.00046947753,0.006782326,0.010309351,0.015885819,0.28094533,0.06604591,0.61050695],"study_design_scores_gemma":[0.00004882433,0.00006473925,0.004041593,0.0018372174,0.0001645411,0.00085531845,0.009138518,0.014596588,0.031478375,0.35317704,0.58436984,0.00022742558],"about_ca_topic_score_codex":0.018653806,"about_ca_topic_score_gemma":0.021973936,"teacher_disagreement_score":0.9783619,"about_ca_system_score_codex":0.0034529378,"about_ca_system_score_gemma":0.0072145406,"threshold_uncertainty_score":0.11092585},"labels":[],"label_agreement":null},{"id":"W4241791749","doi":"10.3138/jsp.37.4.270","title":"Electronic Publishing in Archaeology","year":2006,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Publishing; Electronic publishing; Archaeology; Library science; Computer science; Engineering; World Wide Web; History; The Internet; Political science; Law","score_opus":0.009645950911109018,"score_gpt":0.2175701243697946,"score_spread":0.20792417345868558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241791749","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049423324,0.39834213,0.007644734,0.044569325,0.012754146,0.00006236992,0.00007467059,0.00012460935,0.5314857],"genre_scores_gemma":[0.24115261,0.4189539,0.016955843,0.015420156,0.030284297,0.0001674316,0.00015408194,0.00029051802,0.2766212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950859,0.0026912114,0.00038582337,0.00044551713,0.0010504798,0.000341016],"domain_scores_gemma":[0.99221545,0.0051859124,0.00050545944,0.0009915073,0.0006199034,0.00048176915],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0047301487,0.00050292816,0.00062053645,0.0036614777,0.005818175,0.015241469,0.00077489135,0.0041543515,0.019681722],"category_scores_gemma":[0.0085059125,0.0003418856,0.00026798696,0.009246248,0.014580591,0.010101141,0.005318412,0.0036517475,0.0038696982],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028082752,0.000032684602,0.00060286565,0.0005955125,0.0000072679118,0.00023751939,0.0046531763,0.0001775113,0.00014240043,0.77861464,0.043657515,0.17125082],"study_design_scores_gemma":[0.0000045335833,0.000023856122,0.0005679754,0.0010493677,0.000003983402,0.0004841907,0.0018529269,0.00005706687,0.00013775543,0.07518906,0.92061806,0.0000111947],"about_ca_topic_score_codex":0.0018114608,"about_ca_topic_score_gemma":0.0024869153,"teacher_disagreement_score":0.98475856,"about_ca_system_score_codex":0.0028607135,"about_ca_system_score_gemma":0.0034488414,"threshold_uncertainty_score":0.06584191},"labels":[],"label_agreement":null},{"id":"W4244939524","doi":"10.2172/875459","title":"NATional CARBon Sequestration Database and Geographic Information System (NATCARB)","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Milestone; Documentation; Carbon sequestration; Database; National laboratory; Data access layer; Information system; Quarter (Canadian coin); Geographic information system; Metadata; Geography; Computer science; Library science; Environmental science; World Wide Web; Engineering; Cartography; Archaeology; Operating system; Data modeling","score_opus":0.015790595651448986,"score_gpt":0.24195134527619208,"score_spread":0.22616074962474308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244939524","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007691468,0.0003195839,0.00777507,0.000555981,0.00021737847,0.0002602846,0.93484426,0.008210909,0.04704738],"genre_scores_gemma":[0.0024496417,0.0004942571,0.014631288,0.00020262346,0.00003311468,0.00042873606,0.9722983,0.00086887856,0.0085931085],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773335,0.0002184593,0.00040591307,0.00028597028,0.0012109373,0.00014529286],"domain_scores_gemma":[0.99402374,0.00056597556,0.0006475345,0.0011055756,0.0033108944,0.00034622278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026108392,0.001035147,0.0013806367,0.006406188,0.00095265586,0.0038827846,0.0020067052,0.0010528748,0.06882667],"category_scores_gemma":[0.009790493,0.00068458385,0.00045327365,0.01632842,0.00025918346,0.0033278659,0.001966739,0.0016197291,0.0715664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003730575,0.000021507045,0.0010470656,0.00021481166,0.000011470401,0.000023775474,0.00004843716,0.00034437075,0.00024904739,0.0053951214,0.96710634,0.025500765],"study_design_scores_gemma":[0.000022359609,0.0000061641754,0.0019537357,0.000068843416,0.000011233781,0.000038393875,0.000043210555,0.0006310358,0.0006727086,0.0013493169,0.99518174,0.000021253642],"about_ca_topic_score_codex":0.040626265,"about_ca_topic_score_gemma":0.029733367,"teacher_disagreement_score":0.06882667,"about_ca_system_score_codex":0.0020633119,"about_ca_system_score_gemma":0.00863465,"threshold_uncertainty_score":0.23024815},"labels":[],"label_agreement":null},{"id":"W4246415158","doi":"10.1007/978-1-4614-6170-8_100488","title":"Virtual Items","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.010813398005455282,"score_gpt":0.20183156469860647,"score_spread":0.1910181666931512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246415158","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00067595945,0.0009663849,0.006736193,0.000310606,0.001228692,0.00006589248,0.0006209641,0.00074866466,0.9886467],"genre_scores_gemma":[0.0022331653,0.00056948105,0.0015202302,0.00014133792,0.0001419627,0.00003191501,0.0005636827,0.00025162662,0.99454665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975544,0.000029124349,0.000008340241,0.000050391376,0.00012561906,0.000031125117],"domain_scores_gemma":[0.9997255,0.0000319151,0.000008460395,0.000069244124,0.00009113042,0.00007367168],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002617747,0.0011056014,0.0005904298,0.0016720097,0.0012392877,0.00419799,0.0015379011,0.0009043377,0.63043016],"category_scores_gemma":[0.000867735,0.0003849616,0.0004898648,0.0016583904,0.00047333335,0.0036971923,0.0033124965,0.0011975016,0.38128117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007894997,0.000055843037,0.00008888385,0.00020148934,0.000006353384,0.00011963126,0.00016035109,0.0003517594,0.002027576,0.041811023,0.60373706,0.35136116],"study_design_scores_gemma":[0.0000037585733,0.000013776468,0.00008209608,0.000045822122,0.000002047984,0.000084408646,0.000058084293,0.00012186788,0.00025923163,0.004107104,0.99521756,0.0000042384418],"about_ca_topic_score_codex":0.00066256477,"about_ca_topic_score_gemma":0.0017316467,"teacher_disagreement_score":0.63043016,"about_ca_system_score_codex":0.0004915965,"about_ca_system_score_gemma":0.0004957899,"threshold_uncertainty_score":0.52714646},"labels":[],"label_agreement":null},{"id":"W4246596471","doi":"10.4095/298897","title":"Electromagnetic survey of the Livingstone Creek area, Yukon, parts of NTS 105-E/1 and 8","year":2016,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Archaeology; Geography","score_opus":0.02831134663534822,"score_gpt":0.2534959881718733,"score_spread":0.22518464153652507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246596471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935759,0.000022612532,0.000366643,0.00002202437,0.0000026158336,0.000030895644,0.0014445912,0.000032204916,0.004502554],"genre_scores_gemma":[0.9935727,0.000037961385,0.00091390277,0.00001936882,0.0000027798806,0.000021564085,0.0014682768,0.000005793597,0.00395778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988234,0.0000069742564,0.00000713755,0.000023978937,0.00005448332,0.000025091562],"domain_scores_gemma":[0.9998586,0.0000082987,0.000017267908,0.000010684732,0.00007777657,0.00002728187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007988831,0.00012768866,0.00017349748,0.0010514105,0.0007868036,0.0003133657,0.0004269217,0.00032431123,0.0010465408],"category_scores_gemma":[0.00016931548,0.00011694923,0.00012754508,0.0012625116,0.00022114824,0.00015870763,0.000399639,0.000119780736,0.00044639513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035230353,0.00024742068,0.8841362,0.00018658952,0.000103585044,0.0016414281,0.002370684,0.0037382806,0.06440699,0.00057217537,0.003280964,0.038963385],"study_design_scores_gemma":[0.000009903702,0.000036000725,0.9952301,0.0000054781353,0.000009222124,0.00012581173,0.00070571934,0.0009059576,0.0010023916,0.000024627208,0.0019399012,0.0000049894834],"about_ca_topic_score_codex":0.27164876,"about_ca_topic_score_gemma":0.5621674,"teacher_disagreement_score":0.27164876,"about_ca_system_score_codex":0.00073798286,"about_ca_system_score_gemma":0.0019731196,"threshold_uncertainty_score":0.54013515},"labels":[],"label_agreement":null},{"id":"W4247415394","doi":"10.4095/211413","title":"Aeromagnetic residual total field survey, Hamilton, Ontario","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Geology; Geodesy; Field (mathematics); Aeromagnetic survey; Statistics; Geography; Mathematics; Physics; Algorithm","score_opus":0.028941031111564073,"score_gpt":0.26076866709178625,"score_spread":0.23182763598022219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247415394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48374492,0.002249337,0.008233604,0.0031087953,0.00026880816,0.00096277933,0.1957649,0.0017229449,0.30394396],"genre_scores_gemma":[0.5737047,0.0018395184,0.015424751,0.00042681865,0.00007882054,0.00023265925,0.030899735,0.000428987,0.37696412],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995004,0.000021032178,0.000009500056,0.000084090614,0.00029120987,0.000093770235],"domain_scores_gemma":[0.9992293,0.000031385454,0.00004243327,0.000045531287,0.0005627462,0.00008863526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027629535,0.0005237108,0.00043370613,0.0020946756,0.00381106,0.00076904445,0.0007743074,0.00031805868,0.01530006],"category_scores_gemma":[0.0006169025,0.00031403624,0.00022008701,0.0031223318,0.00061206525,0.00049476005,0.0005267034,0.00039901945,0.0025927175],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001475368,0.00031135994,0.2742798,0.0007701975,0.0002802062,0.00158748,0.0029079926,0.009337621,0.041558594,0.010905729,0.4160025,0.24058315],"study_design_scores_gemma":[0.00015963046,0.00009310203,0.68615246,0.000072697585,0.00008523007,0.00019512503,0.0012629653,0.0050524967,0.009392532,0.00093018217,0.29653835,0.00006517533],"about_ca_topic_score_codex":0.9810188,"about_ca_topic_score_gemma":0.9939494,"teacher_disagreement_score":0.018981218,"about_ca_system_score_codex":0.012774958,"about_ca_system_score_gemma":0.023901008,"threshold_uncertainty_score":0.092689276},"labels":[],"label_agreement":null},{"id":"W4247468361","doi":"10.4095/211421","title":"Aeromagnetic residual total field survey, Auburn, New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Field survey; Geology; Seismology; Mathematics; Algorithm","score_opus":0.045608840828048836,"score_gpt":0.27472191055026296,"score_spread":0.22911306972221412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247468361","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3526877,0.005916497,0.021180559,0.002344825,0.00081991724,0.0009502693,0.22136267,0.0038108865,0.3909267],"genre_scores_gemma":[0.2767801,0.005078274,0.028580429,0.00025427173,0.00022255232,0.00039399278,0.06783577,0.00077260495,0.62008196],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997869,0.000013004996,0.0000052290384,0.00007198605,0.000099320954,0.00002354173],"domain_scores_gemma":[0.99941266,0.000050435196,0.000030197505,0.00007305305,0.00036178876,0.00007195258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003178256,0.00068095047,0.0005103136,0.0026264763,0.00132178,0.00050465594,0.00079583947,0.00033478442,0.02222349],"category_scores_gemma":[0.00054697675,0.00029061656,0.00016184429,0.0016666402,0.00034323227,0.00086072425,0.0004623342,0.0006962767,0.00548712],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012663046,0.0005412198,0.07539561,0.0007066943,0.00015080781,0.00078434095,0.0007211585,0.009107419,0.05633086,0.005773107,0.4922438,0.3569787],"study_design_scores_gemma":[0.00010291121,0.00015513736,0.41187385,0.00009448582,0.00007211516,0.00026795617,0.00046443974,0.010143595,0.016315602,0.000889392,0.55957204,0.00004846064],"about_ca_topic_score_codex":0.32555985,"about_ca_topic_score_gemma":0.4711512,"teacher_disagreement_score":0.32555985,"about_ca_system_score_codex":0.001942719,"about_ca_system_score_gemma":0.003745981,"threshold_uncertainty_score":0.6473298},"labels":[],"label_agreement":null},{"id":"W4247527404","doi":"10.1007/978-1-4939-7131-2_101412","title":"User-Centered Pattern Detection","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.016293531231374468,"score_gpt":0.2174004683093563,"score_spread":0.20110693707798183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247527404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012920997,0.0009196632,0.9750209,0.0000867246,0.00016073733,0.00005847321,0.00016881408,0.004614562,0.017678116],"genre_scores_gemma":[0.030297158,0.0017382278,0.88714576,0.00031626376,0.0001534235,0.00012886662,0.0012646388,0.00162815,0.077327505],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990326,0.0000980445,0.000035315545,0.00025477,0.0005131841,0.00006607749],"domain_scores_gemma":[0.99905974,0.00017586995,0.000036791185,0.00037099852,0.0003154108,0.000041190146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007386823,0.0014518664,0.0010474644,0.0015801273,0.00042571148,0.0016991665,0.0027372362,0.0013293929,0.0360886],"category_scores_gemma":[0.0017057364,0.0007474127,0.0007536494,0.0016192216,0.00061227765,0.0019919104,0.002275089,0.0010528634,0.028606879],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009838122,0.000037809943,0.00014382461,0.00026119457,0.000029262852,0.000080337464,0.000055217504,0.0023359158,0.045670263,0.016521882,0.031264298,0.90350163],"study_design_scores_gemma":[0.000033418153,0.00021597928,0.0013849578,0.00021927629,0.00008157843,0.0037613397,0.00008904711,0.22351214,0.30699536,0.046319313,0.4172608,0.00012680441],"about_ca_topic_score_codex":0.0006451642,"about_ca_topic_score_gemma":0.0011597323,"teacher_disagreement_score":0.0360886,"about_ca_system_score_codex":0.00039513194,"about_ca_system_score_gemma":0.0004973547,"threshold_uncertainty_score":0.12072843},"labels":[],"label_agreement":null},{"id":"W4248539564","doi":"10.1109/ijcnn.2006.1716619","title":"Shape Morphing and Reconstruction Using A Self-Organizing Feature Map","year":2006,"lang":"en","type":"article","venue":"The 2006 IEEE International Joint Conference on Neural Network Proceedings","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Morphing; Computer science; Artificial intelligence; Process (computing); Computer vision; Feature (linguistics); Pattern recognition (psychology); Computer graphics (images)","score_opus":0.027630513745008498,"score_gpt":0.23810980592669245,"score_spread":0.21047929218168396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248539564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026713112,0.0000474121,0.9722101,0.000052827592,0.000010539837,0.000027745422,0.000033639135,0.0004676663,0.00043696348],"genre_scores_gemma":[0.33747193,0.00008386072,0.6612518,0.000035320405,0.000011878664,0.0000721885,0.00013488118,0.00008414078,0.00085396477],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997836,0.00003453953,0.000008588603,0.00004994097,0.0001033301,0.000020033269],"domain_scores_gemma":[0.99974126,0.000097578704,0.000024257037,0.000053819975,0.00006983312,0.000013224709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040176662,0.00028306313,0.00032440742,0.00091353594,0.00030013724,0.0005980845,0.0005974341,0.00053461874,0.0006924757],"category_scores_gemma":[0.0011720295,0.00034503738,0.00055611617,0.0006944249,0.0004528603,0.00064910314,0.0006198771,0.0004043059,0.00021757306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016079808,0.00009122625,0.0024470522,0.000070849026,0.000067547706,0.00023204774,0.0002888145,0.4010161,0.042761434,0.007728104,0.0017683161,0.5433677],"study_design_scores_gemma":[0.000004109342,0.000019647174,0.00061767036,0.0000029874695,0.000004143184,0.00006773599,0.00002476965,0.99178547,0.0039868276,0.0028485872,0.00062919175,0.000008875459],"about_ca_topic_score_codex":0.002874374,"about_ca_topic_score_gemma":0.003068264,"teacher_disagreement_score":0.002874374,"about_ca_system_score_codex":0.0003456718,"about_ca_system_score_gemma":0.00048661124,"threshold_uncertainty_score":0.0057153106},"labels":[],"label_agreement":null},{"id":"W4249066839","doi":"10.1007/978-1-4614-6170-8_100096","title":"User-Centered Pattern Detection","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.013046749521895364,"score_gpt":0.2062360109378828,"score_spread":0.19318926141598744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249066839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012478665,0.00088313356,0.9787223,0.00007326949,0.00013111632,0.00005089591,0.00013314745,0.003589637,0.015168702],"genre_scores_gemma":[0.028286494,0.001719279,0.89513785,0.00026802844,0.0001276692,0.00011290872,0.0010212669,0.0013051233,0.072021365],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990715,0.000094982664,0.000032890934,0.00023754171,0.0005001661,0.00006284176],"domain_scores_gemma":[0.99916136,0.00016630586,0.00003513073,0.0003099583,0.00029149782,0.0000357556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006992482,0.0013917185,0.0010532943,0.0016066235,0.0004206925,0.0016006497,0.0026421028,0.0012724263,0.030242056],"category_scores_gemma":[0.0014920371,0.00075273856,0.00073363405,0.0016573676,0.00063462876,0.0018470628,0.0020926134,0.001007164,0.02365218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000889053,0.000033476168,0.00014025904,0.00023375268,0.00002784747,0.000076565404,0.00005639449,0.0025004726,0.046646886,0.016107148,0.025857687,0.90823066],"study_design_scores_gemma":[0.000031139163,0.00022171834,0.0015284165,0.00022057525,0.000083697974,0.003896804,0.00009490394,0.2411858,0.31879988,0.04478341,0.38901806,0.00013564723],"about_ca_topic_score_codex":0.0006900908,"about_ca_topic_score_gemma":0.0012735976,"teacher_disagreement_score":0.030242056,"about_ca_system_score_codex":0.00039140356,"about_ca_system_score_gemma":0.0004918998,"threshold_uncertainty_score":0.101169765},"labels":[],"label_agreement":null},{"id":"W4249538999","doi":"10.18280/ejee.230209","title":"Effect on Human Body of the Magnetic Field Induced by the High Voltage Transmission Line","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric power transmission; Electricity; Conductor; Electromagnetic field; Transmission line; Voltage; Electrical engineering; Limit (mathematics); Energy (signal processing); Transmission (telecommunications); Physics; Engineering; Materials science","score_opus":0.00587886369622283,"score_gpt":0.21100719957524916,"score_spread":0.20512833587902632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249538999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726998,0.0012375312,0.010838699,0.00038969962,0.00022255444,0.000026213182,0.00024457445,0.00030557698,0.014035329],"genre_scores_gemma":[0.996879,0.00035239672,0.0005969269,0.00009133386,0.000030138535,0.0000051680386,0.000052673233,0.000019071978,0.0019732602],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999037,0.00004401281,0.000002003555,0.000018955869,0.000017587447,0.000013672998],"domain_scores_gemma":[0.99961406,0.00022890295,0.000038866117,0.000044677454,0.00003743222,0.000036065976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001270021,0.0002118494,0.00015440195,0.00019585613,0.00017621489,0.00023256971,0.00012015126,0.00037419816,0.007127322],"category_scores_gemma":[0.0007781379,0.000106605505,0.00023570417,0.00010791631,0.0003833013,0.00015732627,0.000271398,0.00020329395,0.00079842826],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007368362,0.00052231597,0.04879939,0.0008540002,0.00039586567,0.004767027,0.0014500921,0.021206513,0.7161079,0.0018203116,0.0062297448,0.19047861],"study_design_scores_gemma":[0.0006058203,0.017447222,0.6148665,0.0003934959,0.0012932254,0.02566899,0.0024249898,0.029336328,0.2788355,0.0043190597,0.024670275,0.00013860947],"about_ca_topic_score_codex":0.00040986354,"about_ca_topic_score_gemma":0.00029286533,"teacher_disagreement_score":0.007127322,"about_ca_system_score_codex":0.00007802237,"about_ca_system_score_gemma":0.00005842834,"threshold_uncertainty_score":0.023843229},"labels":[],"label_agreement":null},{"id":"W4251427635","doi":"10.1145/1882262.1866206","title":"Style-content separation by anisotropic part scales","year":2010,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Content (measure theory); Separation (statistics); Style (visual arts); Computer science; Anisotropy; Physics; Mathematics; Optics; Machine learning; Art; Mathematical analysis; Visual arts","score_opus":0.015588092813871642,"score_gpt":0.24543202326295208,"score_spread":0.22984393044908044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251427635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04713502,0.000109800676,0.9493111,0.000060438277,0.000038427606,0.00004901214,0.00004918914,0.0007428291,0.0025042638],"genre_scores_gemma":[0.43198645,0.00015557006,0.563213,0.00008732934,0.00008493197,0.00009786683,0.00020503254,0.0006071479,0.0035627175],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990734,0.00010801836,0.00004291227,0.00022749158,0.00046257692,0.00008562346],"domain_scores_gemma":[0.9984956,0.0003121282,0.00018527477,0.00060719776,0.00030041332,0.00009930198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077021495,0.0008990428,0.0008819355,0.001675459,0.00065919384,0.0019008603,0.0009983476,0.00077566627,0.002210773],"category_scores_gemma":[0.002452636,0.0005401449,0.0012312979,0.0017874441,0.0010884269,0.0014620842,0.0015324339,0.0010115833,0.0010934694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037700738,0.00014441265,0.0031947216,0.00017236211,0.00016901705,0.00026862914,0.0006200735,0.091384724,0.42093116,0.026242983,0.002558412,0.45393646],"study_design_scores_gemma":[0.000028719456,0.00012622721,0.0058100107,0.000011524954,0.00008417315,0.00057810656,0.00014285967,0.7787968,0.1788026,0.02580115,0.009717942,0.00009989557],"about_ca_topic_score_codex":0.0008831788,"about_ca_topic_score_gemma":0.0012775765,"teacher_disagreement_score":0.002210773,"about_ca_system_score_codex":0.00059747027,"about_ca_system_score_gemma":0.0005310534,"threshold_uncertainty_score":0.0073957443},"labels":[],"label_agreement":null},{"id":"W4251623633","doi":"10.5589/m04-905","title":"Foreword, Special issue: RADARSAT-2","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Regional science; Cartography; Remote sensing; Physical geography","score_opus":0.009497439645314954,"score_gpt":0.2116873459718548,"score_spread":0.20218990632653983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251623633","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042894587,0.018711772,0.0008911165,0.028872719,0.92434597,0.00013470434,0.00076348294,0.00027659233,0.025574682],"genre_scores_gemma":[0.0027473005,0.017717322,0.0006527421,0.020810153,0.69606847,0.00015370602,0.0019310253,0.00035659486,0.25956267],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994955,0.000048876987,0.000074912015,0.00010567401,0.00021476013,0.000060259146],"domain_scores_gemma":[0.99609166,0.00066586287,0.00028092874,0.0001161605,0.0021497312,0.0006955896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133561,0.0029647464,0.002681502,0.0031866627,0.0016943032,0.004250165,0.0014660702,0.005563347,0.088467814],"category_scores_gemma":[0.0036988193,0.00061782065,0.0010486406,0.0014299346,0.0005790871,0.0027511234,0.0010147614,0.003951595,0.06903456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008033779,0.000028362047,0.0000649773,0.0002511956,0.000013901003,0.00006705902,0.0000052159194,0.00004436069,0.00036035644,0.00025320536,0.9804192,0.018411752],"study_design_scores_gemma":[0.000041438438,0.00010332874,0.0013124129,0.00018715308,0.000039001756,0.00015802537,0.000022072989,0.00019069297,0.0003813218,0.00090984604,0.9966414,0.0000133190115],"about_ca_topic_score_codex":0.0016180829,"about_ca_topic_score_gemma":0.0031695429,"teacher_disagreement_score":0.088467814,"about_ca_system_score_codex":0.0012892404,"about_ca_system_score_gemma":0.0011867875,"threshold_uncertainty_score":0.2959543},"labels":[],"label_agreement":null},{"id":"W4255990594","doi":"10.4095/300650","title":"Tactile Maps of Canada, Soil Types","year":2006,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Cartography; Geology; Physical geography","score_opus":0.010591545085325997,"score_gpt":0.21938452369523123,"score_spread":0.20879297860990523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255990594","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064946027,0.000987559,0.0016293208,0.0006491163,0.00033512685,0.00035995824,0.69956607,0.0014880307,0.28849024],"genre_scores_gemma":[0.08690224,0.004713912,0.016341086,0.0005677022,0.00011546117,0.0007420746,0.566837,0.0010513415,0.32272926],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994535,0.000017767048,0.00001762285,0.000058199712,0.00034027867,0.00011268781],"domain_scores_gemma":[0.9980362,0.000058904174,0.000039425402,0.00006795573,0.0016165702,0.00018108984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019546547,0.0010270111,0.00040036466,0.0058465227,0.0031355452,0.0032399506,0.00091121485,0.00037286902,0.14378525],"category_scores_gemma":[0.0020025831,0.00032785736,0.00033871923,0.02105301,0.0006331517,0.0010595764,0.0010543575,0.00063919113,0.02319163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009478403,0.000019133126,0.0044839554,0.0003453012,0.000010549954,0.00012637985,0.00045490172,0.00057875813,0.0004042705,0.0028867112,0.9289156,0.06167953],"study_design_scores_gemma":[0.000023816123,0.000009186339,0.037476666,0.0001761901,0.000009797,0.0001232505,0.0016390437,0.00031389127,0.00023832015,0.00064508716,0.95930684,0.000037822003],"about_ca_topic_score_codex":0.9797323,"about_ca_topic_score_gemma":0.99019754,"teacher_disagreement_score":0.14378525,"about_ca_system_score_codex":0.012459688,"about_ca_system_score_gemma":0.02959633,"threshold_uncertainty_score":0.4810096},"labels":[],"label_agreement":null},{"id":"W4280520414","doi":"10.3390/a15050164","title":"A Parallelizable Integer Linear Programming Approach for Tiling Finite Regions of the Plane with Polyominoes","year":2022,"lang":"en","type":"article","venue":"Algorithms","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Parallelizable manifold; Polyomino; Integer programming; Integer (computer science); Speedup; Mathematics; Computer science; Time complexity; Combinatorics; Algorithm; Parallel computing; Regular polygon; Geometry","score_opus":0.018432779344705667,"score_gpt":0.2298843537926756,"score_spread":0.21145157444796994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280520414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00705612,0.00012922577,0.98574823,0.00019938653,0.00005117399,0.00005883308,0.000058868438,0.0005354088,0.0061628143],"genre_scores_gemma":[0.08961776,0.00022749708,0.9060368,0.00014320463,0.00004652575,0.00022926781,0.00017772592,0.00019856506,0.0033227063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957055,0.00010579599,0.000018572813,0.00011159162,0.0001273471,0.000066038214],"domain_scores_gemma":[0.99950457,0.00028006834,0.000053115484,0.000056842873,0.00007614474,0.000029228579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006288239,0.0009778901,0.0007187195,0.00046529312,0.00050317054,0.0012077654,0.0010809272,0.00079702795,0.005212841],"category_scores_gemma":[0.0015244589,0.0005621044,0.0011881188,0.0008501995,0.00091300334,0.0010151032,0.0010428597,0.0017156515,0.00095486135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058007154,0.00005806571,0.00021220118,0.00010668273,0.000014553812,0.000092367256,0.000055280547,0.92855686,0.0045147706,0.023453053,0.0017804144,0.041097622],"study_design_scores_gemma":[0.00001589858,0.00002033029,0.000030794934,0.00000697725,0.0000045423094,0.0000157413,0.000011923168,0.987748,0.0008851139,0.009511706,0.0017447326,0.000004220868],"about_ca_topic_score_codex":0.0041856593,"about_ca_topic_score_gemma":0.007749136,"teacher_disagreement_score":0.005212841,"about_ca_system_score_codex":0.0009611291,"about_ca_system_score_gemma":0.0013868072,"threshold_uncertainty_score":0.01743871},"labels":[],"label_agreement":null},{"id":"W4285212996","doi":"10.2139/ssrn.4147170","title":"A Projection-Based Characteristic Mapping Method for Tracer Transport on the Sphere","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"TRACER; Projection (relational algebra); Computer science; Mathematics; Statistical physics; Physics; Algorithm; Nuclear physics","score_opus":0.01374682921995068,"score_gpt":0.24715191860043903,"score_spread":0.23340508938048835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285212996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025216076,0.00005254624,0.9965119,0.000041352876,0.000015819669,0.000023049313,0.000023103295,0.00019876222,0.00061195256],"genre_scores_gemma":[0.10874737,0.00045948828,0.88576263,0.0000660402,0.000044191063,0.0001813934,0.00017611895,0.00035086484,0.004211892],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981195,0.00003959802,0.000008492655,0.000033188782,0.00009035803,0.000016497263],"domain_scores_gemma":[0.9996063,0.00013031205,0.00002829933,0.00005451749,0.0001358763,0.00004484782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042828827,0.00053283176,0.00062297523,0.0007519636,0.00060292735,0.0011687669,0.0011085697,0.0008464447,0.0031383021],"category_scores_gemma":[0.0012405501,0.00036951056,0.0007189884,0.0009825059,0.0005289362,0.0012594004,0.0013939921,0.0013383293,0.0009536435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003641513,0.00015556425,0.0014054696,0.00053531805,0.000083393985,0.00038648167,0.00043926708,0.22410373,0.1440457,0.16614902,0.006476864,0.45585498],"study_design_scores_gemma":[0.000012095113,0.000035017096,0.00015106158,0.000009283103,0.000010035341,0.000222087,0.000016335482,0.978868,0.011240631,0.0057044416,0.00370741,0.000023655235],"about_ca_topic_score_codex":0.0031166272,"about_ca_topic_score_gemma":0.0020634464,"teacher_disagreement_score":0.0031383021,"about_ca_system_score_codex":0.0006044077,"about_ca_system_score_gemma":0.0020778715,"threshold_uncertainty_score":0.010498643},"labels":[],"label_agreement":null},{"id":"W4286546053","doi":"10.4000/ebhr.112","title":"Materials for the Study of Gurung Pe, by Simon Strickland","year":2021,"lang":"en","type":"article","venue":"European Bulletin of Himalayan Research","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Learning Partnership","funders":"","keywords":"Psychology","score_opus":0.046883075754762166,"score_gpt":0.31851185482792754,"score_spread":0.2716287790731654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286546053","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007696016,0.11594449,0.007015139,0.108530916,0.08333292,0.00057984673,0.007409704,0.00079134654,0.6686996],"genre_scores_gemma":[0.043725245,0.03615356,0.0065140077,0.0128741665,0.011799344,0.00069384347,0.0036489463,0.0011914473,0.8833994],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938345,0.00022175205,0.000045845685,0.00013073617,0.00017124397,0.00004697193],"domain_scores_gemma":[0.99917823,0.00026697194,0.00007292185,0.00008974846,0.00025510648,0.00013695059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010813103,0.00081932405,0.0004688196,0.0019997843,0.002444555,0.002558014,0.00051902875,0.0006610703,0.12266219],"category_scores_gemma":[0.005536241,0.0002177673,0.00024669908,0.0016705747,0.001159529,0.0025617944,0.0015602108,0.0015545838,0.03376549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031004118,0.0000149404,0.00014851677,0.000092918686,0.0000018960924,0.00008806883,0.00057239836,0.000025777796,0.00019089674,0.02448322,0.92495567,0.049394656],"study_design_scores_gemma":[0.0000017441099,0.000004062861,0.0003241958,0.00007631699,4.725141e-7,0.000054346536,0.00020793716,0.000010427988,0.00003343505,0.0015893523,0.9976955,0.0000021174915],"about_ca_topic_score_codex":0.005874975,"about_ca_topic_score_gemma":0.013242286,"teacher_disagreement_score":0.12266219,"about_ca_system_score_codex":0.0017605603,"about_ca_system_score_gemma":0.0018162135,"threshold_uncertainty_score":0.4103459},"labels":[],"label_agreement":null},{"id":"W4288462960","doi":"10.18280/ts.390312","title":"Image Feature Extraction and Retrieval Optimization of Book Pages Based on Convolutional Neural Network","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Task (project management); Feature (linguistics); Transfer of learning; Feature extraction; Pattern recognition (psychology); Image retrieval; Deep learning; Image (mathematics); Domain (mathematical analysis); Information retrieval; Engineering; Mathematics","score_opus":0.009418575081381967,"score_gpt":0.2188908995257992,"score_spread":0.20947232444441724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288462960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09902321,0.00085743464,0.89273506,0.00014086111,0.000071705224,0.00015016856,0.0004161858,0.003235042,0.0033702757],"genre_scores_gemma":[0.5625977,0.0007377676,0.42083237,0.00015693111,0.000086628235,0.00017486856,0.0021220786,0.00044878002,0.012842917],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975425,0.000019581674,0.000014172794,0.00008296389,0.00008096031,0.00004812924],"domain_scores_gemma":[0.9998153,0.00003802804,0.000025413197,0.00003511288,0.00007413624,0.000012080198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030204013,0.000830714,0.0008845056,0.0011224883,0.00022319003,0.0006986055,0.0006853013,0.0005914808,0.001867893],"category_scores_gemma":[0.0009192979,0.0003116478,0.0007701739,0.0011475327,0.00026132682,0.0012125457,0.0004000665,0.0005357719,0.0009640722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022332271,0.00015755808,0.002235489,0.00019883293,0.00009991791,0.00021364786,0.00006173866,0.18256345,0.101665795,0.0019204466,0.006608726,0.7040511],"study_design_scores_gemma":[0.00000848503,0.00005878566,0.0016640378,0.0000050973404,0.000025409528,0.000098797515,0.00001691868,0.9687073,0.027558837,0.00069460657,0.0011482068,0.000013457742],"about_ca_topic_score_codex":0.0064301067,"about_ca_topic_score_gemma":0.007772207,"teacher_disagreement_score":0.0064301067,"about_ca_system_score_codex":0.00062910264,"about_ca_system_score_gemma":0.0005744978,"threshold_uncertainty_score":0.012785375},"labels":[],"label_agreement":null},{"id":"W4292714195","doi":"10.23977/jaip.2022.050208","title":"On Data Analysis and Design and Implementation of Data Preprocessing Scheme Based on Low-quality Rock Datasets","year":2022,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprocessor; Computer science; Deep learning; Data pre-processing; Generalization; Quality (philosophy); Artificial intelligence; Scheme (mathematics); Machine learning; Data mining","score_opus":0.14908133755257572,"score_gpt":0.4408978987709113,"score_spread":0.29181656121833555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292714195","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019179398,0.00018116344,0.97268987,0.00048523388,0.00009912047,0.0007335588,0.0014956965,0.003947624,0.0011883805],"genre_scores_gemma":[0.09671421,0.00039564786,0.8897916,0.00028113433,0.00007391841,0.0016458388,0.009041291,0.0004185,0.0016378588],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971734,0.00057995797,0.00031641175,0.00062229286,0.001109167,0.00019867692],"domain_scores_gemma":[0.99571735,0.0010093768,0.0003163465,0.0010370456,0.0017986958,0.00012127281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036026342,0.0010675371,0.000743004,0.0026516442,0.0010809766,0.0021084945,0.002305272,0.0008547634,0.0033638794],"category_scores_gemma":[0.011379945,0.00054007565,0.0012020603,0.0025890071,0.0008395883,0.0029324775,0.0018282215,0.0017325709,0.0021429954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083579734,0.0006047231,0.021940328,0.00088988285,0.00018951019,0.00046345347,0.00045622917,0.054936454,0.086562105,0.028303063,0.031516533,0.77330196],"study_design_scores_gemma":[0.00015207594,0.0004403704,0.017425532,0.00017383724,0.000093750175,0.00047893907,0.00048604814,0.760954,0.15677391,0.023384944,0.03950391,0.00013270602],"about_ca_topic_score_codex":0.002912577,"about_ca_topic_score_gemma":0.0033889764,"teacher_disagreement_score":0.0036026342,"about_ca_system_score_codex":0.00088471215,"about_ca_system_score_gemma":0.0022071041,"threshold_uncertainty_score":0.019052804},"labels":[],"label_agreement":null},{"id":"W4293549962","doi":"10.1007/978-0-387-39940-9_2716","title":"Graphic Representation of Data","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Representation (politics); Computer science; Political science","score_opus":0.03990873295696232,"score_gpt":0.27841836659275204,"score_spread":0.23850963363578973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293549962","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023864475,0.0018619564,0.706707,0.001525162,0.0012931086,0.0005805569,0.0434286,0.06338809,0.1788291],"genre_scores_gemma":[0.03846355,0.0052462053,0.6160279,0.0016839978,0.0004411418,0.0012690419,0.07309573,0.0105748195,0.25319758],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947816,0.000099624616,0.000047588048,0.00008099486,0.00025150846,0.000042155487],"domain_scores_gemma":[0.9988159,0.00046216272,0.000047721933,0.00029335608,0.00031700247,0.00006393719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005934946,0.0015874133,0.0007416865,0.0028166547,0.00045096877,0.0049054823,0.0016056938,0.0008853273,0.18246797],"category_scores_gemma":[0.0034152516,0.00045678022,0.0007028319,0.0032702615,0.00059798645,0.0017928146,0.0013763694,0.0012358633,0.06949397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017867284,0.000052002117,0.00039123296,0.0013062577,0.000037414557,0.0004223338,0.0005061735,0.0048996997,0.013911669,0.11868596,0.521852,0.33775654],"study_design_scores_gemma":[0.000024736873,0.000029348295,0.00032579564,0.00018175971,0.000018408988,0.00037273584,0.00007497681,0.011322824,0.004801134,0.019381184,0.9634425,0.00002454657],"about_ca_topic_score_codex":0.0028983227,"about_ca_topic_score_gemma":0.0028587095,"teacher_disagreement_score":0.18246797,"about_ca_system_score_codex":0.0007543791,"about_ca_system_score_gemma":0.0010671081,"threshold_uncertainty_score":0.6104162},"labels":[],"label_agreement":null},{"id":"W4295168872","doi":"10.2139/ssrn.4212220","title":"Offline Handwritten Mathematical Expression Recognition Based on Square Loss Sequence-to-Sequence Neural Network","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sequence (biology); Artificial neural network; Pattern recognition (psychology); Computer science; Artificial intelligence; Expression (computer science); Speech recognition; Square (algebra); Mathematics; Biology; Genetics","score_opus":0.022031050599140636,"score_gpt":0.2578389551526586,"score_spread":0.23580790455351797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295168872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06798927,0.00059059844,0.92190117,0.00015075009,0.00022141972,0.00010613606,0.00018002634,0.00400378,0.0048569026],"genre_scores_gemma":[0.59018254,0.00085224933,0.38208768,0.00028018776,0.00013628408,0.00017259333,0.0011927631,0.0002805578,0.02481517],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969625,0.000031257157,0.000019656969,0.00009517467,0.000118434815,0.00003919132],"domain_scores_gemma":[0.99969447,0.00007624801,0.000027019314,0.000039471557,0.00014103838,0.00002185134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030177357,0.0007053185,0.00077970594,0.00048888405,0.00023763753,0.000544651,0.00066643103,0.00043930468,0.005261027],"category_scores_gemma":[0.0007280625,0.00024129443,0.0004548916,0.0005596757,0.00022422262,0.00092568435,0.0005290421,0.00074589107,0.002300898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003451685,0.00014280948,0.0006743575,0.00007598274,0.000034408586,0.00010138005,0.00003117582,0.02690389,0.047067016,0.0011358787,0.0028085238,0.92067945],"study_design_scores_gemma":[0.000011361386,0.00015111089,0.0010790555,0.0000098361925,0.000022579436,0.00015969122,0.000019507319,0.9688785,0.027257781,0.0007219651,0.0016742928,0.000014342019],"about_ca_topic_score_codex":0.0030179878,"about_ca_topic_score_gemma":0.0044616926,"teacher_disagreement_score":0.005261027,"about_ca_system_score_codex":0.00028440866,"about_ca_system_score_gemma":0.0009305133,"threshold_uncertainty_score":0.01759994},"labels":[],"label_agreement":null},{"id":"W4297890896","doi":"","title":"Optimisation d'extraction de motifs : une nouvelle méthode fondée sur la transposition de données","year":2003,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.022577176424396144,"score_gpt":0.23383141273061672,"score_spread":0.2112542363062206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297890896","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004085721,0.00033563684,0.9861037,0.00027091883,0.00007336281,0.00017483027,0.0006209368,0.007237698,0.0010971235],"genre_scores_gemma":[0.023989355,0.00026779406,0.9657105,0.00014584529,0.00005381814,0.00022297408,0.0018526756,0.0021639054,0.0055930167],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9921616,0.0020270543,0.0008762706,0.0019184995,0.0026686287,0.00034799238],"domain_scores_gemma":[0.98697656,0.008980572,0.000404856,0.0016509343,0.0017729972,0.00021412275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040015266,0.0031761306,0.0023456996,0.0038605882,0.0012263592,0.0034747398,0.0026573706,0.0024065007,0.020226719],"category_scores_gemma":[0.019480305,0.0016276985,0.00437412,0.003024447,0.0014347682,0.0033961686,0.003766512,0.0033527298,0.0096619865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044389823,0.00019429428,0.0013386196,0.0009215039,0.00035517683,0.00034132405,0.0007895815,0.012965238,0.034548588,0.009960939,0.01742522,0.9207156],"study_design_scores_gemma":[0.00043457036,0.00059833034,0.004075467,0.00041083797,0.00055102987,0.0023883565,0.0017572411,0.6090539,0.13706407,0.07631688,0.16703242,0.00031689715],"about_ca_topic_score_codex":0.0076594134,"about_ca_topic_score_gemma":0.010846269,"teacher_disagreement_score":0.020226719,"about_ca_system_score_codex":0.0010712959,"about_ca_system_score_gemma":0.002645154,"threshold_uncertainty_score":0.0676651},"labels":[],"label_agreement":null},{"id":"W4297952286","doi":"","title":"Test and application of the surface-subsurface physically based reactive transport model CATHY on a vineyard hillslope","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Vineyard; Test (biology); Geology; Environmental science; Hydrology (agriculture); Computer science; Geotechnical engineering; Archaeology; Geography","score_opus":0.007314895859028534,"score_gpt":0.2035235600479116,"score_spread":0.19620866418888308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297952286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835117,0.00009464238,0.01258186,0.00012762262,0.000013417616,0.00006560527,0.0008544395,0.0003301136,0.002420674],"genre_scores_gemma":[0.9895998,0.0000725568,0.0085680615,0.000020275571,0.0000039318024,0.00005403623,0.000570919,0.000039945404,0.0010704799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998542,0.000034251596,0.000008616621,0.00004895663,0.00002734943,0.000026695478],"domain_scores_gemma":[0.9996418,0.00019635317,0.00003329008,0.000033405813,0.000066222536,0.00002890194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032538804,0.0005849389,0.000509116,0.0002539895,0.0003066492,0.00066270906,0.00087928155,0.0010197054,0.0012222346],"category_scores_gemma":[0.00080398394,0.00027995408,0.0005215498,0.00032134156,0.00037656608,0.00035406486,0.00075699494,0.0005077012,0.00013312849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110847315,0.00006859365,0.0037150877,0.000039189217,0.000017734927,0.00006983163,0.000029090532,0.98910517,0.0037910177,0.00035948932,0.0001226301,0.0025712256],"study_design_scores_gemma":[0.000021418007,0.000053798154,0.00092096353,0.0000013410443,0.0000051595935,0.000007974982,0.00001350952,0.9975962,0.0011195039,0.000069021495,0.00018671472,0.0000043764308],"about_ca_topic_score_codex":0.074562475,"about_ca_topic_score_gemma":0.027106808,"teacher_disagreement_score":0.074562475,"about_ca_system_score_codex":0.0009664904,"about_ca_system_score_gemma":0.0010877562,"threshold_uncertainty_score":0.14825696},"labels":[],"label_agreement":null},{"id":"W4299698557","doi":"10.1007/978-3-031-01647-9_1","title":"Detection of Oriented Features in Images","year":2011,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on biomedical engineering","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Pattern recognition (psychology)","score_opus":0.0055542910261623425,"score_gpt":0.1857664017593939,"score_spread":0.18021211073323157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299698557","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023147248,0.0035716128,0.9572072,0.00027396667,0.0002781592,0.000079125515,0.0002697277,0.001954475,0.013218474],"genre_scores_gemma":[0.14488989,0.0074514323,0.8079758,0.00027183222,0.00030114118,0.00011328126,0.0012010965,0.00056635065,0.037229165],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998047,0.000010323383,0.0000070740166,0.000051053037,0.00010409586,0.000022838602],"domain_scores_gemma":[0.9998203,0.000058240952,0.000022308152,0.000031473097,0.000051268613,0.000016472764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020010845,0.0006749787,0.0005905649,0.0014790398,0.00015759021,0.001117278,0.00085024483,0.00066751865,0.0038783595],"category_scores_gemma":[0.0006009349,0.00039621885,0.00037254763,0.0011256717,0.00042742988,0.0008236337,0.00055432855,0.00051853474,0.003320196],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007115452,0.000031626223,0.0004058183,0.0002571732,0.000026218962,0.00014425105,0.0000627873,0.0023795401,0.18610327,0.011213845,0.008701651,0.7906026],"study_design_scores_gemma":[0.000044776785,0.00028649668,0.010077123,0.00025423238,0.0001263389,0.0031891929,0.00015584503,0.21072708,0.58062196,0.04948987,0.14493084,0.0000963395],"about_ca_topic_score_codex":0.00038436076,"about_ca_topic_score_gemma":0.0006084435,"teacher_disagreement_score":0.0038783595,"about_ca_system_score_codex":0.0002257792,"about_ca_system_score_gemma":0.00021371062,"threshold_uncertainty_score":0.012974381},"labels":[],"label_agreement":null},{"id":"W4300659473","doi":"10.17487/rfc3250","title":"Tag Image File Format Fax eXtended (TIFF-FX) - image/tiff-fx MIME Sub-type Registration","year":2002,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"File format; Image file formats; Computer science; Computer graphics (images); Computer vision; Image (mathematics); Artificial intelligence; Database","score_opus":0.02599434440958434,"score_gpt":0.26811117285057884,"score_spread":0.2421168284409945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300659473","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011406818,0.00065201736,0.20339501,0.0017280226,0.0040165028,0.0024439823,0.16966327,0.19803308,0.40866137],"genre_scores_gemma":[0.031785972,0.00081065367,0.16263051,0.00080255483,0.0007293351,0.0022192812,0.2535513,0.0719426,0.4755278],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995528,0.000029975883,0.000047527556,0.000082308354,0.00019416955,0.00009316126],"domain_scores_gemma":[0.99758506,0.00039189684,0.000106197214,0.0010004702,0.0007197964,0.000196576],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061808334,0.0019820225,0.0017283116,0.0029949085,0.0013872829,0.0023433997,0.0027950238,0.0019774719,0.69425774],"category_scores_gemma":[0.003232351,0.0014366378,0.00086303736,0.0023523362,0.00039156893,0.0028759502,0.001848667,0.0017084709,0.5666258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010945618,0.00022449228,0.0006482683,0.000634259,0.00003554288,0.0002568613,0.00005401829,0.0004503809,0.05142946,0.0031679096,0.7823168,0.15968747],"study_design_scores_gemma":[0.00027274425,0.0002830525,0.0047122473,0.00010051466,0.000067972454,0.001718014,0.000110075,0.006061324,0.16141453,0.0037775028,0.82135075,0.0001313554],"about_ca_topic_score_codex":0.0014229456,"about_ca_topic_score_gemma":0.0017917688,"teacher_disagreement_score":0.69425774,"about_ca_system_score_codex":0.0005558202,"about_ca_system_score_gemma":0.0009012952,"threshold_uncertainty_score":0.43610424},"labels":[],"label_agreement":null},{"id":"W4312098327","doi":"10.1117/12.2658785","title":"3D object classification from point clouds","year":2022,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Point cloud; Deep learning; Artificial intelligence; Computer science; Segmentation; Convolutional neural network; Pattern recognition (psychology); Field (mathematics); Artificial neural network; Point (geometry); Image segmentation; Noise (video); Cognitive neuroscience of visual object recognition; Object (grammar); Computer vision; Image (mathematics); Mathematics","score_opus":0.017017594716805633,"score_gpt":0.2304822584506961,"score_spread":0.21346466373389045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312098327","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076485775,0.0045551616,0.8726819,0.0008101471,0.0006345844,0.0008632475,0.015607842,0.022436744,0.005924453],"genre_scores_gemma":[0.39045718,0.0046570236,0.539941,0.00039349197,0.00032814647,0.000592671,0.057525165,0.0009237626,0.005181589],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986513,0.00006567521,0.000080463185,0.00036443368,0.0006132083,0.0002248916],"domain_scores_gemma":[0.9992409,0.0001266681,0.00007680874,0.0002242897,0.000273151,0.00005818012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068001915,0.0025109882,0.0024700384,0.0081678135,0.0006884998,0.0029890977,0.0022196737,0.0026702515,0.003728954],"category_scores_gemma":[0.0017336484,0.0010090744,0.003555797,0.0062891566,0.00070805213,0.0018421076,0.0025251363,0.0020240818,0.0050551994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000566458,0.00026473324,0.008054666,0.000553313,0.00024380672,0.000708369,0.00013595808,0.086055435,0.02477873,0.0043203267,0.028164534,0.8461538],"study_design_scores_gemma":[0.000033763557,0.000099253455,0.007899928,0.00017377513,0.00007622113,0.0008044274,0.00025861102,0.93300503,0.030740693,0.00888536,0.017939547,0.00008335548],"about_ca_topic_score_codex":0.011149516,"about_ca_topic_score_gemma":0.010553447,"teacher_disagreement_score":0.011149516,"about_ca_system_score_codex":0.0011516354,"about_ca_system_score_gemma":0.0010944518,"threshold_uncertainty_score":0.022169232},"labels":[],"label_agreement":null},{"id":"W4312865468","doi":"10.1109/oceans47191.2022.9977271","title":"Improvements to Automated Change Detection Tools for SAS Images","year":2022,"lang":"en","type":"article","venue":"OCEANS 2022, Hampton Roads","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Change detection; Computer vision; Artificial intelligence; Computer graphics (images)","score_opus":0.022994485718559728,"score_gpt":0.2663846924731262,"score_spread":0.24339020675456646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312865468","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011681457,0.00017400108,0.9213709,0.00022826773,0.00012312594,0.00040255065,0.00085447764,0.061689936,0.0034751466],"genre_scores_gemma":[0.052200466,0.0001803328,0.9382063,0.00022661984,0.00006595636,0.00026822044,0.0025482203,0.002631904,0.0036718722],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99623704,0.00042506974,0.00029926395,0.0006081925,0.0022256563,0.00020468197],"domain_scores_gemma":[0.9880136,0.0030073195,0.00044814806,0.0022562393,0.006062238,0.00021245384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028625613,0.0014842044,0.00078419835,0.0041009225,0.0005702456,0.0026672094,0.0031361743,0.0010108284,0.014098216],"category_scores_gemma":[0.013777328,0.00096369465,0.001209236,0.0020474927,0.00046044542,0.002615878,0.0011526764,0.0012396016,0.009907465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042958654,0.00031244356,0.00461341,0.00034113595,0.0001287557,0.00033366284,0.0003371669,0.010654716,0.14809301,0.003489363,0.029062549,0.80220425],"study_design_scores_gemma":[0.00018070813,0.00040689608,0.014454852,0.00019367223,0.00015616986,0.0011850095,0.00037650688,0.55370283,0.2582302,0.003729838,0.16706254,0.00032090308],"about_ca_topic_score_codex":0.005742632,"about_ca_topic_score_gemma":0.0052004005,"teacher_disagreement_score":0.014098216,"about_ca_system_score_codex":0.0008050781,"about_ca_system_score_gemma":0.001067889,"threshold_uncertainty_score":0.047163248},"labels":[],"label_agreement":null},{"id":"W4312964698","doi":"10.1130/abs/2022am-380591","title":"SPATIAL DECLUSTERING OF ZIRCON DATA INDICATE RAPID ARCHEAN CRUSTAL GROWTH AND NEOPROTEROZOIC PLATE TECTONIC EQUILIBRIUM","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Zircon; Archean; Geology; Tectonics; Geochronology; Phanerozoic; Geochemistry; Petrology; Paleontology; Cenozoic","score_opus":0.027802040463823674,"score_gpt":0.2453200834885321,"score_spread":0.21751804302470842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312964698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99351937,0.00039881433,0.0012561647,0.00007829459,0.000010721231,0.000010313466,0.0016025108,0.00005617973,0.003067463],"genre_scores_gemma":[0.99733955,0.00015651254,0.000668679,0.00003783012,0.000007851807,0.000004273715,0.0006799542,0.00001421144,0.001091142],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998803,0.000007714146,0.000018090328,0.00004477988,0.000023286062,0.000025777781],"domain_scores_gemma":[0.9995528,0.00006221991,0.0001103927,0.00006934536,0.00016960401,0.000035722427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037150813,0.00020170741,0.00023035755,0.0015615439,0.00040598997,0.0008664581,0.00016605794,0.00023195917,0.0051153623],"category_scores_gemma":[0.0008556413,0.00021289101,0.00018863408,0.0015934099,0.00040916784,0.0003699878,0.00044412163,0.00017496057,0.00077087805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007624677,0.000026055026,0.7809308,0.00013636476,0.00011607094,0.00038104755,0.0005303703,0.0006243017,0.19000517,0.001036385,0.00035173583,0.025099277],"study_design_scores_gemma":[0.000008357452,0.000022894474,0.99122405,0.000003958151,0.000026468391,0.00023266576,0.00016165561,0.00016073094,0.006772022,0.00018252795,0.0012018329,0.000002833172],"about_ca_topic_score_codex":0.008951565,"about_ca_topic_score_gemma":0.019428635,"teacher_disagreement_score":0.008951565,"about_ca_system_score_codex":0.00043905788,"about_ca_system_score_gemma":0.00032739228,"threshold_uncertainty_score":0.01779896},"labels":[],"label_agreement":null},{"id":"W4313555849","doi":"10.1007/s00170-022-10785-0","title":"Periodical monitoring of 3D welds and defects generated from ultrasound scans","year":2023,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Welding; Computer science; Signature (topology); Task (project management); Artificial intelligence; Pattern recognition (psychology); Computer vision; Engineering; Mathematics; Mechanical engineering; Geometry","score_opus":0.009040380846801721,"score_gpt":0.24933728231949442,"score_spread":0.2402969014726927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313555849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89606345,0.0012577449,0.09700631,0.000091587215,0.000072348164,0.000094342155,0.000835502,0.0019970424,0.0025817368],"genre_scores_gemma":[0.9796268,0.00027357746,0.018463269,0.000035981782,0.0000425037,0.000028489325,0.00033442286,0.00011007391,0.0010848474],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958724,0.00006192723,0.000023032262,0.00007107689,0.00022805159,0.000028724151],"domain_scores_gemma":[0.99848926,0.0005426758,0.00023620366,0.00016106706,0.00046038025,0.000110471665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039597115,0.00033000013,0.00031299965,0.0029568977,0.0002087505,0.00029701457,0.00033501204,0.0006638688,0.001047914],"category_scores_gemma":[0.0015664293,0.00018386607,0.0002516312,0.0009967863,0.00019174952,0.0002409712,0.00030622265,0.00028061305,0.00030341942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012684806,0.000116702984,0.04146297,0.00039075324,0.000095061536,0.0019023445,0.0006941204,0.0046044006,0.79254615,0.00024824278,0.0010170694,0.15565372],"study_design_scores_gemma":[0.00005686304,0.0013360764,0.3789789,0.00010655376,0.00035006952,0.007522332,0.00062717224,0.07416872,0.5310571,0.0005075316,0.0051680664,0.00012059599],"about_ca_topic_score_codex":0.0006994078,"about_ca_topic_score_gemma":0.0007839533,"teacher_disagreement_score":0.0029568977,"about_ca_system_score_codex":0.00015514427,"about_ca_system_score_gemma":0.00015927083,"threshold_uncertainty_score":0.0035055876},"labels":[],"label_agreement":null},{"id":"W4315815632","doi":"10.1109/icicml57342.2022.10009736","title":"Oracle Bone Inscriptions Detection Based On Standard Evaluation Metric","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Oracle; Metric (unit); Computer science; Object (grammar); Detector; Measure (data warehouse); Object detection; Data mining; Artificial intelligence; Pattern recognition (psychology); Engineering; Programming language; Telecommunications","score_opus":0.023792613619498814,"score_gpt":0.3016155266198952,"score_spread":0.2778229130003964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315815632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45464912,0.017015692,0.4439414,0.00095956563,0.0017721924,0.0020291728,0.010871032,0.029065382,0.039696477],"genre_scores_gemma":[0.84500724,0.0018315125,0.12568946,0.00038719556,0.00023928274,0.00044211154,0.016315293,0.000782736,0.0093053095],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98733485,0.0014213057,0.0012233419,0.0021849032,0.006848734,0.0009869105],"domain_scores_gemma":[0.98760986,0.0039761537,0.0010590903,0.0014144313,0.0054186704,0.00052186934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006957566,0.0038078066,0.0026089598,0.008684221,0.0007149009,0.002906561,0.0026417759,0.0027368092,0.0029615613],"category_scores_gemma":[0.01690399,0.0004057323,0.0012672716,0.00326014,0.0012943242,0.0037290705,0.0018825373,0.0008819658,0.0016093786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037260526,0.0010835782,0.07133462,0.002029823,0.0015594317,0.0007771513,0.0002054315,0.10838852,0.033958495,0.0053740065,0.053492505,0.7180704],"study_design_scores_gemma":[0.00013438395,0.0016848204,0.01724741,0.00011887469,0.0005290527,0.001659884,0.00021924307,0.88706076,0.078192264,0.003026762,0.009958958,0.00016757434],"about_ca_topic_score_codex":0.00959186,"about_ca_topic_score_gemma":0.0109377,"teacher_disagreement_score":0.00959186,"about_ca_system_score_codex":0.0018955519,"about_ca_system_score_gemma":0.0018517941,"threshold_uncertainty_score":0.036795557},"labels":[],"label_agreement":null},{"id":"W4317561132","doi":"10.5744/florida/9780813069302.003.0012","title":"Postcolonial and Indigenous Perspectives in Digital Archaeology","year":2022,"lang":"en","type":"book-chapter","venue":"University Press of Florida eBooks","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Context (archaeology); Gatekeeping; Diversity (politics); Narrative; Archaeology; Sociology; Geography; Political science; Media studies; Anthropology; Art; Law","score_opus":0.009566624496799054,"score_gpt":0.1840874514207988,"score_spread":0.17452082692399976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317561132","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019381242,0.048677508,0.0017144374,0.008774036,0.00071224116,0.000024072826,0.00013386943,0.00005932663,0.9205233],"genre_scores_gemma":[0.49449387,0.06650233,0.0034919463,0.002480687,0.00034958147,0.000057965928,0.00020191069,0.00013886155,0.4322828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872786,0.00024291183,0.000026357962,0.0000827593,0.00052811333,0.0003920135],"domain_scores_gemma":[0.9992587,0.00031348254,0.000028060882,0.00005081484,0.00021084191,0.00013799172],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013259692,0.00056263886,0.00024316121,0.003751844,0.013576037,0.011296906,0.0012815661,0.0010786492,0.008358552],"category_scores_gemma":[0.0012627202,0.00021500804,0.00017705518,0.006617841,0.024200328,0.0032956724,0.002779114,0.002158838,0.00068552274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012025834,0.000011534059,0.00048688534,0.000174876,0.000003820109,0.0003270306,0.1074905,0.00014530106,0.00021674915,0.82673293,0.023030668,0.041367687],"study_design_scores_gemma":[0.0000017917534,0.0000033036636,0.0015106406,0.00021611332,0.000004824005,0.00019494667,0.030466216,0.000069899186,0.00012618216,0.014579862,0.9528165,0.0000096414105],"about_ca_topic_score_codex":0.87786084,"about_ca_topic_score_gemma":0.9595366,"teacher_disagreement_score":0.98642397,"about_ca_system_score_codex":0.06363784,"about_ca_system_score_gemma":0.034585334,"threshold_uncertainty_score":0.46172696},"labels":[],"label_agreement":null},{"id":"W4323240423","doi":"10.5220/0011718100003411","title":"Image Inpainting Network Based on Deep Fusion of Texture and Structure","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Inpainting; Artificial intelligence; Texture (cosmology); Computer science; Computer vision; Image texture; Fusion; Image (mathematics); Pattern recognition (psychology); Image fusion; Image processing","score_opus":0.004862066944909384,"score_gpt":0.21256974047081045,"score_spread":0.20770767352590108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323240423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095888704,0.0008615006,0.89660156,0.00035761527,0.00023583065,0.00008880431,0.0002548316,0.0021679213,0.0035432081],"genre_scores_gemma":[0.7472328,0.00086809933,0.23767866,0.00042692546,0.00017168077,0.00011708404,0.0008204586,0.0001371335,0.012547222],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984145,0.000011244641,0.0000053578233,0.00004863343,0.000048742917,0.000044562283],"domain_scores_gemma":[0.99981254,0.00003669716,0.000020687363,0.00002805352,0.000071056515,0.000031006195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030792886,0.0008901567,0.0009224706,0.00046028304,0.00033692454,0.0005120416,0.001427557,0.0008078315,0.0025421653],"category_scores_gemma":[0.000527951,0.0003879233,0.00068568374,0.0005085989,0.00036465417,0.00082378637,0.00084611616,0.0013504531,0.0005457506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051072286,0.000583552,0.0021974663,0.00020032798,0.00021940916,0.00030480954,0.0001490848,0.21468812,0.12138384,0.005299964,0.006944009,0.6475187],"study_design_scores_gemma":[0.000011224462,0.00009264227,0.00044064224,0.000006096997,0.000037829162,0.000056989094,0.000010440142,0.9835169,0.013650481,0.0015036844,0.00066538993,0.000007775654],"about_ca_topic_score_codex":0.0050339876,"about_ca_topic_score_gemma":0.0072818734,"teacher_disagreement_score":0.0050339876,"about_ca_system_score_codex":0.0005006822,"about_ca_system_score_gemma":0.0006116696,"threshold_uncertainty_score":0.010009408},"labels":[],"label_agreement":null},{"id":"W4323557035","doi":"10.48550/arxiv.2303.02426","title":"Improving the quality of dental crown using a Transformer-based method","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut de Valorisation des Données; Compute Canada","keywords":"Crown (dentistry); Margin (machine learning); Computer science; Ground truth; Point cloud; Transformer; Orthodontics; Artificial intelligence; Engineering; Machine learning; Medicine; Voltage","score_opus":0.15948314682601553,"score_gpt":0.264690385200074,"score_spread":0.10520723837405846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323557035","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02404414,0.00009302927,0.9719957,0.0000565899,0.000031908447,0.000056906607,0.00009566633,0.002633263,0.0009926871],"genre_scores_gemma":[0.26415,0.000156904,0.7320365,0.00007225067,0.00001861087,0.00006784468,0.0005558832,0.00072158396,0.002220454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994035,0.00006276973,0.000026435071,0.00016764268,0.00028257119,0.000057050223],"domain_scores_gemma":[0.99903023,0.00029973345,0.000082389684,0.00023431118,0.00030858754,0.00004480492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001102391,0.00087877235,0.00065794267,0.00098455,0.0003029246,0.0009625504,0.0012434094,0.0008176149,0.0041388003],"category_scores_gemma":[0.0027176596,0.00058722467,0.00112721,0.00046882386,0.000533021,0.00093248097,0.0010394165,0.00096160313,0.0014924741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039683675,0.0001430285,0.0022051693,0.00029985476,0.00007812548,0.00019223972,0.00022647897,0.2556729,0.12104767,0.004691666,0.0042104237,0.61083555],"study_design_scores_gemma":[0.000015394264,0.00008513936,0.0004902616,0.000012109512,0.000024226198,0.00017680362,0.00003319961,0.968358,0.026951514,0.0018299717,0.0020075089,0.000015850048],"about_ca_topic_score_codex":0.0025088917,"about_ca_topic_score_gemma":0.004886915,"teacher_disagreement_score":0.0041388003,"about_ca_system_score_codex":0.0006145141,"about_ca_system_score_gemma":0.0009639408,"threshold_uncertainty_score":0.013845682},"labels":[],"label_agreement":null},{"id":"W4362693848","doi":"10.1117/12.2654350","title":"Improving the quality of dental crown using a transformer-based method","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Margin (machine learning); Crown (dentistry); Ground truth; Point cloud; Transformer; Artificial intelligence; Orthodontics; Engineering; Machine learning; Voltage","score_opus":0.05771118334297406,"score_gpt":0.356167761140076,"score_spread":0.29845657779710194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362693848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025782224,0.0001704793,0.9665273,0.00008666157,0.000064382,0.00008815441,0.00022103505,0.0052820058,0.0017778452],"genre_scores_gemma":[0.25559956,0.00020068442,0.73796856,0.000115841256,0.000027807575,0.00010247416,0.0011465295,0.0012722649,0.003566255],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932957,0.00006155468,0.000028881757,0.000205799,0.0003055123,0.00006871101],"domain_scores_gemma":[0.9991084,0.00027009952,0.00007524767,0.0002120634,0.0002881266,0.000046071204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005616,0.0010754284,0.0007145937,0.0010922326,0.00036453342,0.0011269845,0.0014665576,0.00096674834,0.0063867983],"category_scores_gemma":[0.002799554,0.0006682968,0.0014161567,0.00050017063,0.00054338836,0.0010152309,0.0011871029,0.0010903156,0.0024090572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040877913,0.00015229984,0.0025341343,0.00036920965,0.000090908834,0.00024140085,0.00025231836,0.22175007,0.10051654,0.004563983,0.0074074822,0.6617129],"study_design_scores_gemma":[0.000021123158,0.00008951204,0.00065369764,0.000018854187,0.00003167873,0.00022221098,0.00004740688,0.968982,0.024055775,0.0023603174,0.003495936,0.000021458585],"about_ca_topic_score_codex":0.0032864658,"about_ca_topic_score_gemma":0.0068290853,"teacher_disagreement_score":0.0063867983,"about_ca_system_score_codex":0.0006839676,"about_ca_system_score_gemma":0.0009967306,"threshold_uncertainty_score":0.02136594},"labels":[],"label_agreement":null},{"id":"W4363676412","doi":"10.3390/s23083842","title":"Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Complex wavelet transform; Artificial intelligence; Pattern recognition (psychology); Invariant (physics); Fourier transform; Wavelet transform; Scaling; Computer science; Wavelet; Harmonic wavelet transform; Mathematics; Computer vision; Discrete wavelet transform; Geometry; Mathematical analysis","score_opus":0.020574052228309433,"score_gpt":0.22342758705446947,"score_spread":0.20285353482616003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363676412","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064606005,0.00029918776,0.99135613,0.000059498856,0.00006235528,0.000039533574,0.000119181415,0.0008388008,0.0007647375],"genre_scores_gemma":[0.1247219,0.00088283926,0.87014294,0.0001828001,0.00013941729,0.00015608755,0.0011987804,0.0002521489,0.0023230521],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920875,0.000067487694,0.000048746973,0.00019346144,0.00041397483,0.00006774699],"domain_scores_gemma":[0.9994543,0.00012523391,0.00007449303,0.00013051435,0.00018507209,0.000030484563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003924744,0.0007745277,0.00089252845,0.0026184032,0.00025461818,0.0012216764,0.00082667347,0.00065530493,0.0019675836],"category_scores_gemma":[0.001601925,0.00036429893,0.0009255607,0.0024577745,0.0004708264,0.0019970834,0.00086683995,0.000881452,0.001897562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012002304,0.00008026597,0.00095308066,0.00015488442,0.00004445857,0.00016049526,0.00005059565,0.011926564,0.057184853,0.003412117,0.0034917824,0.9224208],"study_design_scores_gemma":[0.000040864157,0.00018536359,0.006386472,0.000041763742,0.000073740564,0.0014961843,0.00010273954,0.881987,0.081417866,0.010068202,0.018104518,0.00009536896],"about_ca_topic_score_codex":0.0010248779,"about_ca_topic_score_gemma":0.0010075724,"teacher_disagreement_score":0.0026184032,"about_ca_system_score_codex":0.00023892,"about_ca_system_score_gemma":0.00040712245,"threshold_uncertainty_score":0.0065822005},"labels":[],"label_agreement":null},{"id":"W4366729881","doi":"10.46254/sa03.20220257","title":"Automatic Clothes Retriever (ACR)","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clothing; Computer science; Labrador Retriever; Computer vision; Medicine; Geography; Archaeology","score_opus":0.013654389166573355,"score_gpt":0.2376738351768448,"score_spread":0.22401944601027143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366729881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3120474,0.006343228,0.44403142,0.0005969299,0.0013681845,0.0022395495,0.008992057,0.16590747,0.058473773],"genre_scores_gemma":[0.753098,0.0013864079,0.16431475,0.001149155,0.0003057225,0.00081244716,0.0066168415,0.0033070908,0.06900959],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991736,0.0000629324,0.00005692999,0.0002542239,0.000386226,0.00006602539],"domain_scores_gemma":[0.99929154,0.00012053778,0.00007758279,0.00015145088,0.00030171525,0.00005713312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041549912,0.0012748283,0.0008130043,0.0012299358,0.00028682646,0.00061064877,0.0012152455,0.0007411018,0.020533781],"category_scores_gemma":[0.0010084041,0.00044468377,0.0005508302,0.00058213907,0.0001909502,0.00079888257,0.0007707796,0.0003979687,0.00834187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022292277,0.0003776965,0.009179902,0.0017458696,0.00014457777,0.0011358635,0.0003335303,0.0011928732,0.3891425,0.00095038454,0.04876463,0.5448029],"study_design_scores_gemma":[0.00045418387,0.0021505668,0.08472187,0.00029258837,0.0004385165,0.008839724,0.00029846217,0.09095085,0.59166944,0.00080975913,0.21894285,0.0004313043],"about_ca_topic_score_codex":0.0008481127,"about_ca_topic_score_gemma":0.0010374102,"teacher_disagreement_score":0.020533781,"about_ca_system_score_codex":0.00022939382,"about_ca_system_score_gemma":0.00019088996,"threshold_uncertainty_score":0.06869233},"labels":[],"label_agreement":null},{"id":"W4372352967","doi":"10.18280/ijdne.180215","title":"Quality of Untraded Rattan Stem from Central Sulawesi (Indonesia) Based on the Morphology","year":2023,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Direktorat Jenderal Pendidikan Tinggi; Universitas Tadulako","keywords":"Rattan; Quality (philosophy); Morphology (biology); Geography; Botany; Biology; Zoology; Physics","score_opus":0.024725557795709854,"score_gpt":0.2749599070574566,"score_spread":0.25023434926174676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372352967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984666,0.0001403841,0.00010694118,0.000008372271,0.000002954963,0.000008252555,0.0001651347,0.0000040114282,0.001097329],"genre_scores_gemma":[0.9981772,0.00012866077,0.0006060578,0.000017506418,0.0000022378101,0.0000066589473,0.000297708,0.000005911112,0.0007581504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989605,0.000010653824,0.000013435161,0.000025604717,0.00004156999,0.000012566365],"domain_scores_gemma":[0.9997924,0.000029357054,0.00007792704,0.000011093503,0.000066345994,0.00002286203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015270819,0.00031335614,0.00020776778,0.0010915498,0.00040200914,0.00052381115,0.00013437208,0.00013501247,0.0017671274],"category_scores_gemma":[0.00020368997,0.00012677403,0.00020603137,0.0010006413,0.000298565,0.00028391829,0.0002241856,0.0001538102,0.00021739639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009248022,0.00023699987,0.6738647,0.00052532833,0.00015033307,0.0020213595,0.0037961355,0.0004277017,0.24786887,0.00028186268,0.00031727037,0.06958451],"study_design_scores_gemma":[0.0000027611554,0.00015151601,0.99307054,0.000014773094,0.000035046953,0.00046585125,0.0013081648,0.00015996839,0.003920346,0.000029185745,0.0008340767,0.000007755603],"about_ca_topic_score_codex":0.006046201,"about_ca_topic_score_gemma":0.040849023,"teacher_disagreement_score":0.006046201,"about_ca_system_score_codex":0.00028176853,"about_ca_system_score_gemma":0.00017571576,"threshold_uncertainty_score":0.012022018},"labels":[],"label_agreement":null},{"id":"W4377837477","doi":"10.2352/issn.2168-3204.2012.9.1.art00012","title":"A New Beginning: Collaborative Partnerships for Digitizing and Indexing Military Records of the Directorate of History and Heritage Archives","year":2012,"lang":"en","type":"article","venue":"Archiving Conference","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Department of National Defence","funders":"","keywords":"Search engine indexing; History; Archival science; Library science; Visual arts; World Wide Web; Computer science; Archaeology; Art","score_opus":0.04187789935894849,"score_gpt":0.23958949197118062,"score_spread":0.19771159261223215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377837477","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11307687,0.032647558,0.2252205,0.2559284,0.005752958,0.005715487,0.004359428,0.0047471346,0.3525516],"genre_scores_gemma":[0.3387247,0.0077832667,0.4611436,0.008102569,0.00084303535,0.002377555,0.005396697,0.0013904588,0.17423815],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9679272,0.017097667,0.0013936814,0.0017582309,0.008484782,0.0033384503],"domain_scores_gemma":[0.9125931,0.014595592,0.0041505164,0.013966261,0.017329676,0.03736482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.043453436,0.00047378274,0.0004598719,0.004142794,0.0127435615,0.01654024,0.0042836657,0.0028818222,0.025514897],"category_scores_gemma":[0.04105268,0.0008909183,0.00057830446,0.006125727,0.003288219,0.013549321,0.023980087,0.004526072,0.0050046034],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025494842,0.0006166961,0.02251897,0.0005322393,0.00006073809,0.0012231129,0.055051666,0.00045607018,0.00351377,0.08535789,0.28549623,0.54491776],"study_design_scores_gemma":[0.000054117754,0.00011985006,0.0060845446,0.00042195915,0.000019491552,0.00076118414,0.04232658,0.0005599719,0.0007575083,0.009078736,0.93976456,0.000051571013],"about_ca_topic_score_codex":0.034665737,"about_ca_topic_score_gemma":0.087621175,"teacher_disagreement_score":0.043453436,"about_ca_system_score_codex":0.0070310114,"about_ca_system_score_gemma":0.05339229,"threshold_uncertainty_score":0.22980648},"labels":[],"label_agreement":null},{"id":"W4378230764","doi":"10.3997/2214-4609.2023101233","title":"Image search at work? An AI pipeline to classify and geo-locate figures from corporate subsurface documents.","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Computer science; Workflow; Metadata; Pipeline (software); Context (archaeology); Data science; Presentation (obstetrics); Domain (mathematical analysis); World Wide Web; Information retrieval; Database","score_opus":0.03932229895026012,"score_gpt":0.28766420590953456,"score_spread":0.24834190695927444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378230764","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02434445,0.0015504671,0.7555254,0.006661754,0.00023504856,0.0012033711,0.027543055,0.14793497,0.035001356],"genre_scores_gemma":[0.05979931,0.00062373275,0.89515036,0.0004947661,0.00005890379,0.00026489384,0.027921427,0.0016188923,0.014067716],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921596,0.00010883791,0.00005478578,0.00026881948,0.00027665508,0.000074886426],"domain_scores_gemma":[0.99843234,0.00041462414,0.000108575136,0.00029964067,0.00057567906,0.00016906785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013753513,0.0013050516,0.00074505596,0.0071861125,0.0013698824,0.004213777,0.0020267342,0.0017188461,0.017638002],"category_scores_gemma":[0.0044556814,0.00071440445,0.0013906593,0.003651182,0.0006189452,0.0040691365,0.0018912228,0.0012578898,0.01687581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002792241,0.0002883306,0.0042606224,0.0004948853,0.0001014776,0.00055831263,0.0011740373,0.0065241377,0.016195953,0.013276813,0.20274714,0.754099],"study_design_scores_gemma":[0.0001023939,0.0002475841,0.008365654,0.00029948738,0.00016075933,0.0010823882,0.0040989527,0.5317621,0.03779917,0.05254076,0.36339697,0.0001437059],"about_ca_topic_score_codex":0.032720495,"about_ca_topic_score_gemma":0.053892747,"teacher_disagreement_score":0.032720495,"about_ca_system_score_codex":0.0017612148,"about_ca_system_score_gemma":0.0024781958,"threshold_uncertainty_score":0.06506008},"labels":[],"label_agreement":null},{"id":"W4378418327","doi":"10.18280/ria.370216","title":"Real-Time Deepfake Image Generation Based on Stylegan2-ADA","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Image (mathematics); Programming language; Artificial intelligence","score_opus":0.030146144739623005,"score_gpt":0.2643592427478495,"score_spread":0.23421309800822648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378418327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085332185,0.0005285383,0.8954037,0.00032195676,0.00027117375,0.00018968133,0.00026102012,0.010947177,0.006744582],"genre_scores_gemma":[0.6637093,0.00018930806,0.32562092,0.00041910744,0.00006380181,0.00020930925,0.00079593726,0.00043152252,0.0085607935],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974364,0.000047515554,0.000008646527,0.00007984968,0.000077584584,0.000042658357],"domain_scores_gemma":[0.99966955,0.000107434455,0.000028332932,0.00009070326,0.00008182089,0.000022060682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062418554,0.0009135624,0.00044840874,0.00037356996,0.00022338335,0.00042309088,0.00095023646,0.0006913069,0.0031842918],"category_scores_gemma":[0.0010784741,0.000318288,0.00051451946,0.00019446405,0.00038944365,0.00070869277,0.0006891789,0.0011518822,0.0009455073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005391436,0.00028056762,0.0022563366,0.00017929496,0.00015823569,0.00028168186,0.00011586679,0.34491798,0.05772171,0.004846665,0.011043117,0.57765937],"study_design_scores_gemma":[0.000018531951,0.00008160765,0.0003662906,0.0000065301647,0.000010920149,0.00011545812,0.000008096983,0.9776357,0.01890865,0.0010905585,0.0017474479,0.000010219218],"about_ca_topic_score_codex":0.0015174905,"about_ca_topic_score_gemma":0.002344449,"teacher_disagreement_score":0.0031842918,"about_ca_system_score_codex":0.00043853067,"about_ca_system_score_gemma":0.00031241082,"threshold_uncertainty_score":0.0106524825},"labels":[],"label_agreement":null},{"id":"W4378981449","doi":"10.18280/ijsse.130218","title":"Machine Learning Approach for Material Analytics and Classification – Insights Based on a Criminal Forensic Investigation Data","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytics; Forensic science; Computer science; Data science; Criminal investigation; Big data; Data mining; Psychology; Medicine; Criminology","score_opus":0.03370677101555217,"score_gpt":0.2513775796140641,"score_spread":0.21767080859851193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378981449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5976573,0.002804883,0.37728342,0.004404044,0.00021143674,0.0004469819,0.004274646,0.0021346556,0.010782529],"genre_scores_gemma":[0.8940521,0.0008173126,0.09931855,0.00015610308,0.00009169801,0.0001819859,0.0025868574,0.000027904558,0.002767492],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941075,0.00010835781,0.00005927125,0.00011958743,0.00021335058,0.00008877217],"domain_scores_gemma":[0.9988863,0.0005426496,0.00011024494,0.00008288198,0.0003352034,0.00004277774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011122534,0.0006142801,0.00074527715,0.0034507643,0.0005321963,0.0013756839,0.0009858175,0.0010865487,0.001185578],"category_scores_gemma":[0.0023778975,0.00016514873,0.0009196128,0.0021029788,0.00035156996,0.0011316625,0.0005883945,0.0009674675,0.00059376704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007047682,0.0017918624,0.06763635,0.0005359677,0.00022990671,0.0019225782,0.00088138133,0.22013049,0.013097385,0.007843943,0.011333928,0.67389137],"study_design_scores_gemma":[0.000008408368,0.00013089969,0.009070953,0.000049268747,0.000028617023,0.00021773102,0.000504676,0.9778491,0.0045864857,0.004440908,0.0030892345,0.000023590375],"about_ca_topic_score_codex":0.0045375484,"about_ca_topic_score_gemma":0.004247831,"teacher_disagreement_score":0.0045375484,"about_ca_system_score_codex":0.000760163,"about_ca_system_score_gemma":0.0007029671,"threshold_uncertainty_score":0.0090222955},"labels":[],"label_agreement":null},{"id":"W4380417507","doi":"","title":"Data clustering for circle detection","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Artificial intelligence","score_opus":0.2808915353085506,"score_gpt":0.5348313589123397,"score_spread":0.2539398236037891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380417507","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022766378,0.00031218547,0.9961733,0.00010705157,0.000035102148,0.000037230056,0.000054126966,0.00031800987,0.00068625517],"genre_scores_gemma":[0.0925313,0.00060669024,0.9039121,0.00009977323,0.0001298666,0.00018642047,0.00047367404,0.00026441496,0.0017957615],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99563843,0.0013146166,0.0001987445,0.0013177748,0.0013548669,0.00017570582],"domain_scores_gemma":[0.99335676,0.003324134,0.0005561472,0.0011598325,0.001425745,0.00017728604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028053003,0.0012734181,0.0018811077,0.0034260773,0.0016801866,0.0020800151,0.0026168497,0.0023769033,0.0031836168],"category_scores_gemma":[0.016585227,0.0007834537,0.0016406423,0.0036943778,0.0017515286,0.0031374847,0.0028228157,0.0017499519,0.0025002037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033116151,0.000102809514,0.0024970926,0.000814834,0.0002702055,0.00039514262,0.00071901246,0.34455845,0.01768196,0.14466469,0.011101317,0.47686335],"study_design_scores_gemma":[0.000010645926,0.00004794335,0.00053269014,0.00004481,0.000024798643,0.0003491349,0.000114284565,0.9239544,0.011180418,0.051260486,0.012426509,0.000053883854],"about_ca_topic_score_codex":0.002945415,"about_ca_topic_score_gemma":0.0015927212,"teacher_disagreement_score":0.0034260773,"about_ca_system_score_codex":0.0014102048,"about_ca_system_score_gemma":0.0012150701,"threshold_uncertainty_score":0.014836073},"labels":[],"label_agreement":null},{"id":"W4381153269","doi":"","title":"組版・文書処理システムΩ","year":2002,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; History","score_opus":0.013440384520855431,"score_gpt":0.2140426600831541,"score_spread":0.20060227556229865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381153269","genre_codex":"other","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010280206,0.006652555,0.009471233,0.038633943,0.011765447,0.00016800317,0.0016812442,0.0013581206,0.9199892],"genre_scores_gemma":[0.02774878,0.0028336353,0.0016801563,0.0011693412,0.0027570107,0.00007275503,0.0008005852,0.0002088057,0.96272886],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994198,0.000044877397,0.000020355315,0.0001671145,0.00023902413,0.00010890206],"domain_scores_gemma":[0.998237,0.00031103243,0.00007189193,0.00015250644,0.0008208641,0.00040673738],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010541466,0.00084539846,0.0010902798,0.000799296,0.0020955598,0.0049807406,0.0006855328,0.003340704,0.3803155],"category_scores_gemma":[0.0020184645,0.00021934707,0.00051839463,0.0010730748,0.0007870215,0.0023660045,0.0017474431,0.0013286872,0.16977389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049673626,0.00017356417,0.0012141435,0.00070247793,0.000027053105,0.000253981,0.00048152005,0.00071924506,0.011578369,0.11980253,0.5099514,0.35459903],"study_design_scores_gemma":[0.000031675783,0.000054259894,0.001428475,0.00013830481,0.000017957118,0.00012218727,0.00017330988,0.0016614265,0.0018356681,0.0119917,0.9825293,0.000015777463],"about_ca_topic_score_codex":0.0034152593,"about_ca_topic_score_gemma":0.0030546116,"teacher_disagreement_score":0.3803155,"about_ca_system_score_codex":0.0020890008,"about_ca_system_score_gemma":0.0019505082,"threshold_uncertainty_score":0.8839047},"labels":[],"label_agreement":null},{"id":"W4382201542","doi":"10.3756/artsci.22.3_1","title":"A Study on Component Reassembly Assist Method Using Simple Marker by Recording and Replaying Disassembly Order","year":2023,"lang":"en","type":"article","venue":"The Journal of the Society for Art and Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Geography","score_opus":0.03788845768501009,"score_gpt":0.33214299518984813,"score_spread":0.29425453750483804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382201542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7444511,0.0028387345,0.24101692,0.00025970413,0.00030683063,0.0004273469,0.00010456544,0.001121277,0.009473536],"genre_scores_gemma":[0.8808285,0.0016018649,0.10884992,0.00012587538,0.00010234376,0.00014117782,0.00015163541,0.0001529682,0.008045674],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991691,0.00020947325,0.00006206691,0.00019973976,0.00031123884,0.000048386555],"domain_scores_gemma":[0.9976743,0.0010191571,0.00014939572,0.00038330874,0.0006992264,0.00007466934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009227238,0.0007405448,0.00044688367,0.00061318197,0.0006566269,0.00057267945,0.0010982461,0.0005836444,0.003508668],"category_scores_gemma":[0.0031850063,0.00033002277,0.00042298847,0.0005785716,0.000424532,0.0016732122,0.0002868341,0.00035427843,0.00068008236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022615094,0.0007573583,0.011792883,0.0015689889,0.00008976864,0.0011143854,0.0038610506,0.002559827,0.4333661,0.00318816,0.002557033,0.53688294],"study_design_scores_gemma":[0.00028703082,0.011030007,0.066309586,0.00021322165,0.0012152973,0.009075477,0.0052693733,0.08565173,0.7672124,0.0017187688,0.051630657,0.00038650678],"about_ca_topic_score_codex":0.0016498059,"about_ca_topic_score_gemma":0.0012066794,"teacher_disagreement_score":0.003508668,"about_ca_system_score_codex":0.000267428,"about_ca_system_score_gemma":0.00045565242,"threshold_uncertainty_score":0.011737645},"labels":[],"label_agreement":null},{"id":"W4386071077","doi":"10.1016/j.tcs.2023.114138","title":"An integer linear programming approach to solving the Eternity Puzzle","year":2023,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eternity; Mathematics; Integer (computer science); Linear programming; Integer programming; Set (abstract data type); MATLAB; Algorithm; Computer science; Discrete mathematics; Programming language","score_opus":0.017190002250847543,"score_gpt":0.2769978860806397,"score_spread":0.25980788382979214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386071077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069065327,0.0005656757,0.969376,0.0015870812,0.00021284241,0.000070580856,0.00016654127,0.00014341797,0.020971343],"genre_scores_gemma":[0.13298325,0.0009821742,0.85047823,0.00066906126,0.00037942966,0.00029090772,0.00037217207,0.00024167151,0.013603095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988667,0.00048472514,0.00005324982,0.00021356065,0.0002203484,0.0001614582],"domain_scores_gemma":[0.9972037,0.0023317148,0.000116155636,0.00009633278,0.00017466584,0.000077557925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016803538,0.0014190078,0.0012588564,0.0010705186,0.00095583475,0.0026255571,0.0022838763,0.0018282868,0.009890612],"category_scores_gemma":[0.0065986677,0.0009331262,0.0014955599,0.001697627,0.0018031191,0.0030624673,0.0019169862,0.004617214,0.0009022137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120141565,0.00021517304,0.0004661612,0.00025537045,0.00007251412,0.000196359,0.0001961393,0.50886387,0.0007129767,0.42118174,0.011371508,0.05634798],"study_design_scores_gemma":[0.000052883828,0.00003872722,0.00008276325,0.000040746723,0.000017510347,0.000046286277,0.00008503108,0.75125325,0.00023718411,0.24281517,0.0053123585,0.000018131133],"about_ca_topic_score_codex":0.005976015,"about_ca_topic_score_gemma":0.006512529,"teacher_disagreement_score":0.009890612,"about_ca_system_score_codex":0.0011283488,"about_ca_system_score_gemma":0.0017752986,"threshold_uncertainty_score":0.033087432},"labels":[],"label_agreement":null},{"id":"W4386568694","doi":"10.29173/pathfinder68","title":"Fossils in a Digital Age","year":2023,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; Dissemination; Globe; Digital library; Digital preservation; World Wide Web; Computer science; Standardization; Data science; Best practice; Digital data; Political science; Telecommunications","score_opus":0.03242922618303235,"score_gpt":0.3159594069736339,"score_spread":0.28353018079060155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386568694","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0469419,0.12612751,0.0283006,0.14213069,0.0064738225,0.00008714325,0.001858201,0.0014730928,0.64660704],"genre_scores_gemma":[0.3590556,0.19437078,0.061889324,0.02818848,0.0037974091,0.00010803791,0.002258859,0.0010375764,0.34929392],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821824,0.0003158851,0.00008460285,0.00021408105,0.0010019974,0.00016518623],"domain_scores_gemma":[0.99616677,0.0009672126,0.00031489244,0.00076266617,0.0011319291,0.0006564738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023432125,0.00033817813,0.00044956824,0.004177776,0.008540764,0.010980381,0.0015295015,0.0029872125,0.035065744],"category_scores_gemma":[0.008249149,0.00030238013,0.00035278284,0.0077132946,0.008386134,0.014607446,0.0062047425,0.003241645,0.005675207],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006604218,0.000033191347,0.00586411,0.0005016547,0.000018807343,0.0009142841,0.018955683,0.0004505595,0.00086699944,0.35351685,0.13626857,0.48254323],"study_design_scores_gemma":[0.0000011716237,0.000005282163,0.0012379859,0.00030609293,0.000006225055,0.00045842826,0.004583631,0.000059759874,0.00016809805,0.022890493,0.9702707,0.000012303507],"about_ca_topic_score_codex":0.051428035,"about_ca_topic_score_gemma":0.0959665,"teacher_disagreement_score":0.051428035,"about_ca_system_score_codex":0.006036485,"about_ca_system_score_gemma":0.00649096,"threshold_uncertainty_score":0.11730659},"labels":[],"label_agreement":null},{"id":"W4386992945","doi":"10.5281/zenodo.8373390","title":"Archaeological data work as continuous and collaborative practice","year":2023,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Archaeology; Work (physics); Data science; Geography; History; Engineering; Computer science; Mechanical engineering","score_opus":0.02972021572904352,"score_gpt":0.3706160864331493,"score_spread":0.34089587070410576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386992945","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23532937,0.008082995,0.22258781,0.029461306,0.00077205343,0.00095348613,0.00023505109,0.00043907546,0.5021389],"genre_scores_gemma":[0.92169154,0.0021658798,0.0505302,0.0005516221,0.00020911612,0.0006185344,0.00011332209,0.0001329285,0.02398681],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9560005,0.03065839,0.0014672406,0.003288405,0.0070785605,0.0015068372],"domain_scores_gemma":[0.9537308,0.029215794,0.0025383616,0.010214131,0.0023461592,0.0019547318],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.03028905,0.00061232434,0.0006460053,0.0045600883,0.012444841,0.026649186,0.0039930553,0.0039134626,0.005727957],"category_scores_gemma":[0.03122351,0.0008448529,0.00066327275,0.005593141,0.06910216,0.021304073,0.023706984,0.0039497474,0.0011764707],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003349259,0.00007893585,0.0015501927,0.0002291518,0.00001930352,0.00028102117,0.36021948,0.00069380563,0.00047707302,0.5945371,0.0024070542,0.039473336],"study_design_scores_gemma":[0.00005590533,0.0000912341,0.0014313547,0.0010153028,0.000025179817,0.00048123123,0.2528917,0.0015156242,0.00074477453,0.40461892,0.33707657,0.00005219903],"about_ca_topic_score_codex":0.0029768364,"about_ca_topic_score_gemma":0.0032379308,"teacher_disagreement_score":0.98755515,"about_ca_system_score_codex":0.0063031367,"about_ca_system_score_gemma":0.010340106,"threshold_uncertainty_score":0.16018575},"labels":[],"label_agreement":null},{"id":"W4388021805","doi":"10.18280/ts.400542","title":"Real-Time Recognition and Feature Extraction of Stratum Images Based on Deep Learning","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Feature extraction; Computer science; Stratum; Extraction (chemistry); Feature (linguistics); Geology; Chemistry; Chromatography; Paleontology","score_opus":0.014671228087510957,"score_gpt":0.23872853737468705,"score_spread":0.2240573092871761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388021805","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045374162,0.00012661128,0.9521234,0.000080073805,0.000024151675,0.00003301848,0.00009235479,0.0011005293,0.001045659],"genre_scores_gemma":[0.6646347,0.00026986972,0.3304703,0.0000957922,0.000027931328,0.00007418318,0.00049796776,0.00008549408,0.0038436782],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998192,0.000014301129,0.000010384982,0.00005682949,0.00007000868,0.000029353108],"domain_scores_gemma":[0.9998491,0.0000276264,0.000027518092,0.00003188482,0.000048411726,0.000015481966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022941854,0.0004242241,0.00045046565,0.0006090289,0.00017754459,0.0003983473,0.0006696749,0.0003577,0.0009054547],"category_scores_gemma":[0.0006103404,0.00023225838,0.0004150878,0.00070135517,0.00030046934,0.0009527861,0.00074821577,0.00057851255,0.00046347355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020891661,0.00013864599,0.0050641256,0.000078285244,0.00004693065,0.00022685339,0.000115271105,0.11993694,0.101869345,0.0044828565,0.0033575555,0.76447433],"study_design_scores_gemma":[0.0000027793935,0.000027383405,0.0013198921,0.0000031016637,0.0000070818182,0.000051445444,0.00001341501,0.98837507,0.007986036,0.001524867,0.00068228965,0.0000067234105],"about_ca_topic_score_codex":0.0037453333,"about_ca_topic_score_gemma":0.0062640817,"teacher_disagreement_score":0.0037453333,"about_ca_system_score_codex":0.0003947626,"about_ca_system_score_gemma":0.00044752914,"threshold_uncertainty_score":0.0074471235},"labels":[],"label_agreement":null},{"id":"W4388283437","doi":"10.1093/oso/9780199212903.003.0015","title":"Computational anatomy: contour matching using EPDiff","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Measure (data warehouse); Computer science; Matching (statistics); Task (project management); Anatomy; Statement (logic); Artificial intelligence; Range (aeronautics); Computer vision; Biology; Mathematics; Philosophy; Epistemology; Engineering; Data mining","score_opus":0.018405175384770683,"score_gpt":0.2584398955617196,"score_spread":0.2400347201769489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388283437","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004167609,0.00022696833,0.9908084,0.00016133297,0.000072696355,0.0000389133,0.000083093524,0.0015162112,0.002924732],"genre_scores_gemma":[0.1539505,0.00033237363,0.8387858,0.00019972568,0.00007693225,0.00009419584,0.00049356197,0.0008701851,0.0051967525],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991357,0.00015228648,0.00005739347,0.00020342087,0.00040262702,0.000048646954],"domain_scores_gemma":[0.99850935,0.000498393,0.00007729565,0.0004981212,0.00034611885,0.00007067928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013644106,0.00053254695,0.0008473231,0.0023322061,0.00050740654,0.0021975331,0.0027546317,0.0013975938,0.015388755],"category_scores_gemma":[0.006224781,0.0005197431,0.0006447054,0.0023738772,0.0010448273,0.0028180052,0.003321037,0.0014022881,0.0032927447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000187751,0.000068511305,0.0010087823,0.00020128624,0.000049388324,0.0002070226,0.00014555543,0.09354555,0.012048698,0.11892103,0.012008027,0.76160836],"study_design_scores_gemma":[0.000032368094,0.00003646768,0.0002660145,0.000028606728,0.0000133795,0.00021534685,0.000026151707,0.8785281,0.0064239795,0.10226554,0.012146855,0.000017200471],"about_ca_topic_score_codex":0.0015851817,"about_ca_topic_score_gemma":0.001434749,"teacher_disagreement_score":0.015388755,"about_ca_system_score_codex":0.00060830463,"about_ca_system_score_gemma":0.00059200195,"threshold_uncertainty_score":0.05148053},"labels":[],"label_agreement":null},{"id":"W4389325175","doi":"10.22582/ta.v12i2.676","title":"Teaching Virtual Forensic Anthropology Labs: Methods and Reflections","year":2023,"lang":"en","type":"article","venue":"Teaching Anthropology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Computer science; Quality (philosophy); Forensic anthropology; Virtual reality; Engineering ethics; Human–computer interaction; Mathematics education; Psychology; Sociology; Engineering; Epistemology; Anthropology","score_opus":0.036834785844128394,"score_gpt":0.41606715519850246,"score_spread":0.37923236935437404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389325175","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2559568,0.027881185,0.31463167,0.108297385,0.0050982162,0.004077425,0.00037992068,0.00064411695,0.28303328],"genre_scores_gemma":[0.602195,0.020488787,0.22240868,0.010652713,0.001336992,0.003583987,0.00018806258,0.0006854061,0.13846034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9728046,0.022370277,0.00044054873,0.00080710376,0.0023724928,0.0012049837],"domain_scores_gemma":[0.9750523,0.016839446,0.0006070515,0.0015407142,0.0038126025,0.0021477563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047225032,0.001318575,0.0004132373,0.0012424682,0.0043233046,0.009114232,0.0036301473,0.0027501986,0.0073776613],"category_scores_gemma":[0.025229586,0.0007491954,0.00048095535,0.0008226497,0.0073085222,0.0052072974,0.007752653,0.004932735,0.0024842115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044914693,0.0043110787,0.0070807356,0.0020603677,0.00003588547,0.0016160895,0.18743138,0.0015838752,0.0064982553,0.102583796,0.026768718,0.65958065],"study_design_scores_gemma":[0.00017360886,0.0015880096,0.0059123244,0.0036812227,0.00006560073,0.0028284194,0.21969542,0.002655124,0.022611998,0.033251002,0.7072888,0.00024838577],"about_ca_topic_score_codex":0.0020312422,"about_ca_topic_score_gemma":0.0047140536,"teacher_disagreement_score":0.047225032,"about_ca_system_score_codex":0.005461491,"about_ca_system_score_gemma":0.005191333,"threshold_uncertainty_score":0.24975282},"labels":[],"label_agreement":null},{"id":"W4389357657","doi":"10.1130/abs/2023am-395670","title":"NEW MESOARCHAEAN DETRITAL DIAMONDS TEST SLAB-STACKING MODEL FOR ARCHAEAN CRATONIC KEEL FORMATION","year":2023,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Archean; Keel; Geology; Stacking; Slab; Petrology; Geochemistry; Geophysics","score_opus":0.029615355503304065,"score_gpt":0.26303035993643265,"score_spread":0.23341500443312857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389357657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8002062,0.00067645096,0.1452808,0.0004719917,0.00010172387,0.0001581781,0.0059416946,0.0019844198,0.045178585],"genre_scores_gemma":[0.9787224,0.00015489288,0.014673808,0.00002301397,0.000008455297,0.000056329387,0.0013801228,0.00011061349,0.0048703505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992514,0.0000070207084,0.0000049112386,0.000022259315,0.000019005585,0.00002175774],"domain_scores_gemma":[0.99991167,0.000012243737,0.000008068856,0.00001279113,0.00003978572,0.000015338643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012078121,0.0005038091,0.00043080671,0.0008880075,0.0008051651,0.0010416161,0.0018841648,0.0011812437,0.005913255],"category_scores_gemma":[0.00032573257,0.00037616192,0.0006552088,0.0009984933,0.00039935185,0.0005184371,0.0006265667,0.00037374967,0.0008060802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008135187,0.00005846115,0.010093025,0.00004106154,0.00003995291,0.00022454669,0.00009978264,0.96829134,0.001647869,0.003371633,0.0011830794,0.014867939],"study_design_scores_gemma":[0.000013021136,0.000008643492,0.0019331013,0.0000078169105,0.000014779159,0.000025028048,0.000053371074,0.9957053,0.00032931444,0.0010689301,0.00083129917,0.000009343098],"about_ca_topic_score_codex":0.10058348,"about_ca_topic_score_gemma":0.074328505,"teacher_disagreement_score":0.10058348,"about_ca_system_score_codex":0.0008762072,"about_ca_system_score_gemma":0.002053553,"threshold_uncertainty_score":0.19999605},"labels":[],"label_agreement":null},{"id":"W4389584800","doi":"10.17118/11143/20920","title":"Developing a machine learning interatomic potential for advancedceramics","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Machine learning; Ceramic; Artificial intelligence; Materials science; Metallurgy","score_opus":0.014793475089009333,"score_gpt":0.26726167679847035,"score_spread":0.252468201709461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389584800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10232497,0.0021170473,0.87694806,0.0021197281,0.00037430305,0.00030720787,0.0025371953,0.0021266835,0.011144821],"genre_scores_gemma":[0.5280259,0.0007649451,0.4581973,0.00076087983,0.00017865592,0.0007553911,0.0052379533,0.00054122927,0.00553767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971324,0.00009840768,0.000016422786,0.000053498436,0.00008192183,0.000036509668],"domain_scores_gemma":[0.9991443,0.00050493906,0.000041467138,0.00006807258,0.00018357892,0.000057683756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009848371,0.00079810066,0.0009364104,0.0009175311,0.00066775695,0.0009968147,0.0021915147,0.0024007715,0.0033964333],"category_scores_gemma":[0.0031484147,0.00050058705,0.0010380074,0.00086773623,0.00058974844,0.0013791964,0.0011451615,0.0016986786,0.0008843961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003336761,0.000043734177,0.00065348967,0.00010989351,0.00002975511,0.00008375563,0.000016957798,0.95417625,0.0010798834,0.009348582,0.00308265,0.03134162],"study_design_scores_gemma":[0.000003892773,0.000005528816,0.0000375305,0.0000048266206,0.0000011021016,0.0000054935017,0.0000036558092,0.99677,0.00016237973,0.0024576231,0.0005457097,0.0000021742385],"about_ca_topic_score_codex":0.0049082907,"about_ca_topic_score_gemma":0.004754135,"teacher_disagreement_score":0.0049082907,"about_ca_system_score_codex":0.0010224438,"about_ca_system_score_gemma":0.0014392498,"threshold_uncertainty_score":0.011362135},"labels":[],"label_agreement":null},{"id":"W4390430301","doi":"10.18280/ts.400615","title":"Advanced Analysis of Blast Pile Fragmentation in Open-Pit Mining Utilizing 3D Point Cloud Technology","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pile; Fragmentation (computing); Point cloud; Cloud computing; Open-pit mining; Mining engineering; Computer science; Geology; Geotechnical engineering; Operating system; Artificial intelligence","score_opus":0.019200452242282156,"score_gpt":0.28068571224999855,"score_spread":0.2614852600077164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390430301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84025985,0.00045268022,0.15373206,0.00010166367,0.000026646958,0.000098162134,0.0007264224,0.0008011275,0.0038014092],"genre_scores_gemma":[0.97111714,0.0002049512,0.02753736,0.0000115721305,0.000008293204,0.000018157314,0.00040305417,0.00004099352,0.0006585231],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997855,0.000012374845,0.000006596066,0.000025105457,0.0001355513,0.000034959503],"domain_scores_gemma":[0.99973255,0.00005479889,0.00004202158,0.000027141392,0.0001243607,0.000019160567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018632754,0.00039758475,0.0004056726,0.002131718,0.00039138828,0.00081837527,0.0005923536,0.00056992826,0.0009295891],"category_scores_gemma":[0.0004568556,0.00024467122,0.00045261733,0.0018974482,0.00029871476,0.00065689604,0.00043196822,0.00030978068,0.00033349713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079828355,0.0002869595,0.102855675,0.00048844144,0.00015258933,0.0020593235,0.0007741732,0.23326884,0.4096943,0.0036833473,0.0020375827,0.24390054],"study_design_scores_gemma":[0.000014404784,0.00009595056,0.123017795,0.000027267573,0.00004214682,0.00065150374,0.0004145013,0.8233947,0.049524765,0.0013517676,0.001418886,0.00004629797],"about_ca_topic_score_codex":0.0046996768,"about_ca_topic_score_gemma":0.0038816012,"teacher_disagreement_score":0.0046996768,"about_ca_system_score_codex":0.0003563066,"about_ca_system_score_gemma":0.0005161542,"threshold_uncertainty_score":0.009344637},"labels":[],"label_agreement":null},{"id":"W4390837020","doi":"","title":"Visualisation en ligne des données de : L'Anse à Henry (Pré-Inuit) avec l'application web archeoViz","year":2023,"lang":"fr","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visualization; World Wide Web; Computer science; Computer graphics (images); Artificial intelligence","score_opus":0.015801393060983108,"score_gpt":0.23613811437127163,"score_spread":0.22033672131028853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390837020","genre_codex":"other","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007017019,0.0015784814,0.31501988,0.005358255,0.0028832275,0.0010775386,0.078888446,0.27128455,0.31689265],"genre_scores_gemma":[0.03849096,0.0023258931,0.18612732,0.001072272,0.0010707845,0.0010309116,0.07710616,0.12035845,0.57241726],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985941,0.00022445127,0.00007625042,0.00024579244,0.00076906645,0.000090354755],"domain_scores_gemma":[0.9960782,0.0015710887,0.000087364686,0.00059278664,0.001236643,0.00043388808],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019112099,0.002259215,0.0013511202,0.0040630773,0.0009981756,0.004826525,0.00129671,0.0025296176,0.40011704],"category_scores_gemma":[0.009794378,0.0008273117,0.0013179253,0.002828998,0.00052015425,0.0025581722,0.003035264,0.0020035459,0.21879493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029861028,0.00006676635,0.00035953894,0.0005361229,0.000029257377,0.00048038617,0.000633209,0.0010481027,0.009039804,0.0057022492,0.8274943,0.15431166],"study_design_scores_gemma":[0.00007943321,0.000034227458,0.0014157166,0.00015372603,0.00001637275,0.00044804096,0.0001376872,0.0048655123,0.0061821193,0.0024706305,0.9841414,0.000054994183],"about_ca_topic_score_codex":0.011959988,"about_ca_topic_score_gemma":0.009524581,"teacher_disagreement_score":0.40011704,"about_ca_system_score_codex":0.0009308454,"about_ca_system_score_gemma":0.0018233454,"threshold_uncertainty_score":0.8556602},"labels":[],"label_agreement":null},{"id":"W4391094807","doi":"10.1109/aikiie60097.2023.10389922","title":"Mathematical Modeling of Quality Control Based on Machine Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Quality (philosophy); Process (computing); Machine learning; Basis (linear algebra); Artificial neural network; Control (management); Artificial intelligence; Mathematical model; Regression analysis; Statistical process control; Statistical learning theory; Logistic regression; Support vector machine; Data mining; Mathematics; Statistics","score_opus":0.03295731545092647,"score_gpt":0.29057312105738675,"score_spread":0.2576158056064603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391094807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066630626,0.0013797545,0.9822725,0.00041260407,0.00009300003,0.000049707127,0.00008392603,0.00031247764,0.008732929],"genre_scores_gemma":[0.84711474,0.005268421,0.13170737,0.00029648183,0.0002460651,0.00046922255,0.0003613709,0.0001256563,0.014410634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926656,0.00012114069,0.000054789336,0.0001286124,0.000376203,0.000052677322],"domain_scores_gemma":[0.9994848,0.00019205015,0.00008951191,0.000032838834,0.00018843096,0.000012406899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510941,0.0005679752,0.00080892333,0.0008561086,0.00048587314,0.001382669,0.0013586351,0.00090707466,0.001741719],"category_scores_gemma":[0.0014558384,0.0002948503,0.00088418333,0.0008275254,0.000976023,0.0015242014,0.00058997306,0.0010552392,0.00046700318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003290467,0.000041862746,0.00081748964,0.0002735692,0.000045739194,0.00015559403,0.000104644256,0.8537885,0.0060114837,0.103479035,0.0013461901,0.03390296],"study_design_scores_gemma":[0.0000071552695,0.00002925946,0.00023362886,0.000014111596,0.000010440564,0.000042074676,0.000007614348,0.9787547,0.0010837566,0.017447138,0.0023546452,0.000015475605],"about_ca_topic_score_codex":0.004866602,"about_ca_topic_score_gemma":0.0013811345,"teacher_disagreement_score":0.004866602,"about_ca_system_score_codex":0.001079506,"about_ca_system_score_gemma":0.0012477444,"threshold_uncertainty_score":0.009676576},"labels":[],"label_agreement":null},{"id":"W4391542903","doi":"10.1038/d41586-024-00346-8","title":"First passages of rolled-up Herculaneum scroll revealed","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"DECIPHER; Papyrus; Scripting language; Scroll; Art; Computer science; Biology; History; Literature; Archaeology; Bioinformatics","score_opus":0.005778085470954499,"score_gpt":0.2428157662284585,"score_spread":0.237037680757504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391542903","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08917054,0.009858117,0.03094873,0.036185715,0.03640584,0.00016023782,0.0017581981,0.001676098,0.79383653],"genre_scores_gemma":[0.49683455,0.0027532522,0.010612719,0.0063428245,0.0048227645,0.00007321292,0.0006022971,0.001702986,0.47625536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996289,0.00012385001,0.000010395817,0.000064534535,0.00010988399,0.00006241703],"domain_scores_gemma":[0.99933535,0.00033933643,0.000021436468,0.000093544244,0.00013467444,0.00007569667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048475227,0.00068825774,0.0003003339,0.0011527725,0.0048945826,0.0026673323,0.00038970102,0.0017557349,0.018795885],"category_scores_gemma":[0.004326978,0.0001802183,0.0002856429,0.0006825771,0.0032744608,0.0019211327,0.001830914,0.004039702,0.0039303377],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007447463,0.00004863679,0.0009416998,0.00040349108,0.0000356461,0.004312707,0.08955892,0.00034983506,0.01684464,0.47984466,0.3203151,0.08659999],"study_design_scores_gemma":[0.000007165194,0.00003111519,0.0006989711,0.0001710629,0.0000067918377,0.0006568596,0.0055205277,0.00024672606,0.0025813808,0.012109026,0.97794515,0.00002527178],"about_ca_topic_score_codex":0.0035117369,"about_ca_topic_score_gemma":0.008216634,"teacher_disagreement_score":0.018795885,"about_ca_system_score_codex":0.0013144654,"about_ca_system_score_gemma":0.0005447003,"threshold_uncertainty_score":0.06287849},"labels":[],"label_agreement":null},{"id":"W4391676170","doi":"10.1002/9781119825883.ch3","title":"Filtering for Removal of Artifacts","year":2024,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Computer science; Artificial intelligence","score_opus":0.01660731310139704,"score_gpt":0.26150939596113826,"score_spread":0.24490208285974122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391676170","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066062505,0.0060935216,0.9606156,0.00039788405,0.00035865034,0.00009506244,0.0002785508,0.002346001,0.023208551],"genre_scores_gemma":[0.078930736,0.01879102,0.8278196,0.00080347725,0.00048620618,0.00021241466,0.0010700613,0.0010451153,0.07084143],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993575,0.00006678916,0.000039171016,0.00013525508,0.00035468765,0.000046588168],"domain_scores_gemma":[0.9995646,0.00016745461,0.000039925664,0.00008680201,0.00012647008,0.0000147784585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058217405,0.0008729471,0.0007374486,0.0012131522,0.00053532014,0.0014538656,0.0007282957,0.0012619825,0.017410904],"category_scores_gemma":[0.0014650946,0.00027881935,0.00061070523,0.0017651619,0.0004970732,0.0009870722,0.00083917804,0.0007749648,0.011549633],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111832545,0.000035461846,0.0002550238,0.0008126794,0.000035398763,0.00025571618,0.00022649427,0.0041721794,0.17676932,0.015603589,0.013474363,0.7882479],"study_design_scores_gemma":[0.000044770415,0.00030740458,0.0030041616,0.0005432633,0.00013177468,0.0029057139,0.00026850187,0.07409429,0.3031306,0.027613832,0.58785105,0.00010464845],"about_ca_topic_score_codex":0.0007155113,"about_ca_topic_score_gemma":0.0010300487,"teacher_disagreement_score":0.017410904,"about_ca_system_score_codex":0.00029340386,"about_ca_system_score_gemma":0.00041327122,"threshold_uncertainty_score":0.0582453},"labels":[],"label_agreement":null},{"id":"W4391721345","doi":"10.1007/978-3-031-17299-1_3609","title":"Alberta Survey","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geography","score_opus":0.03645683358834936,"score_gpt":0.23446179739527345,"score_spread":0.1980049638069241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391721345","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004641331,0.014733537,0.00082208065,0.0023622473,0.001985852,0.00003003197,0.0030853366,0.0004582188,0.9760585],"genre_scores_gemma":[0.0009212173,0.003987827,0.0003093578,0.00030670632,0.00012932309,0.000009115895,0.00087239366,0.00010169666,0.9933624],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99949133,0.00002986228,0.000011876446,0.000089143294,0.00030791573,0.00006984557],"domain_scores_gemma":[0.9994248,0.000046938767,0.000015881702,0.000063194406,0.00029715968,0.00015204695],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039401985,0.001043042,0.00063151546,0.003816832,0.0018276211,0.0044306237,0.0011020693,0.0011473163,0.46743357],"category_scores_gemma":[0.00082448724,0.00043960044,0.00034715977,0.005914867,0.0006553321,0.0016947662,0.0015716605,0.0013426227,0.3470403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012028564,0.000014212675,0.00014729085,0.000066873334,0.0000019133502,0.00003085053,0.000029948675,0.000114208764,0.00008062157,0.008386267,0.87611604,0.11499979],"study_design_scores_gemma":[6.9523594e-7,0.0000012233533,0.00013835376,0.000023147288,5.160316e-7,0.000017214552,0.00001858896,0.000017960663,0.000021726642,0.00056592165,0.99919325,0.0000013170605],"about_ca_topic_score_codex":0.065132864,"about_ca_topic_score_gemma":0.18168007,"teacher_disagreement_score":0.93486714,"about_ca_system_score_codex":0.0039683534,"about_ca_system_score_gemma":0.0052155317,"threshold_uncertainty_score":0.75964135},"labels":[],"label_agreement":null},{"id":"W4391953425","doi":"10.1109/tetci.2024.3359038","title":"MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Training (meteorology); Scale (ratio); Diffusion; Visual arts; Art; Geography; Cartography; Physics","score_opus":0.03954619080813793,"score_gpt":0.328253793318908,"score_spread":0.2887076025107701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391953425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08269372,0.0008208874,0.9088247,0.00030999928,0.00016413645,0.00012354073,0.00032750494,0.0039271913,0.0028083343],"genre_scores_gemma":[0.4677553,0.00071710255,0.51813555,0.00023370136,0.0000774617,0.00016579257,0.001759785,0.0004895739,0.010665838],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996953,0.000040888815,0.000016116313,0.000094932264,0.00010614424,0.000046620047],"domain_scores_gemma":[0.99954456,0.000110808,0.00004765011,0.00009831651,0.00016189337,0.000036645153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068212155,0.00082200486,0.00069577794,0.0011102003,0.00041638393,0.00053598767,0.0012379416,0.0009139433,0.002057033],"category_scores_gemma":[0.0017581208,0.0002853756,0.00072788843,0.0005889129,0.00039187603,0.0010788167,0.00103392,0.0009991879,0.00079646043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038665812,0.00017381871,0.0032383073,0.00025889798,0.00008695126,0.00020693163,0.00017621649,0.12470004,0.06289863,0.0033252116,0.0065776343,0.79797065],"study_design_scores_gemma":[0.000012349536,0.00006587766,0.0012755468,0.000013216143,0.000017185837,0.00012814737,0.00004540873,0.9817131,0.012416383,0.0010283286,0.0032693665,0.000015093583],"about_ca_topic_score_codex":0.006491012,"about_ca_topic_score_gemma":0.0112866955,"teacher_disagreement_score":0.006491012,"about_ca_system_score_codex":0.0004309971,"about_ca_system_score_gemma":0.0007554416,"threshold_uncertainty_score":0.012906432},"labels":[],"label_agreement":null},{"id":"W4392224376","doi":"","title":"Study of fluvial biophysical processes using ground imagery : methodological elements and applications","year":2017,"lang":"fr","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fluvial; Geology; Geography; Earth science; Remote sensing; Cartography; Geomorphology","score_opus":0.2293032950193365,"score_gpt":0.40458709109087165,"score_spread":0.17528379607153516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392224376","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7199567,0.0030434667,0.25626004,0.001075,0.00007512662,0.0014730493,0.003080263,0.0005953425,0.014441131],"genre_scores_gemma":[0.6621245,0.001803743,0.3307103,0.00015328723,0.00003602796,0.0008194845,0.0013175623,0.000103218445,0.002931828],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999233,0.00024035726,0.000051211337,0.00015746876,0.00023410677,0.00008394218],"domain_scores_gemma":[0.9986254,0.00044571035,0.00012915161,0.00014921078,0.0005780327,0.000072428564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018708317,0.00044298658,0.00028857673,0.00225871,0.0008319031,0.002080736,0.0007045175,0.0008052234,0.0017527713],"category_scores_gemma":[0.003069011,0.0003635178,0.0003503711,0.0025243678,0.000739469,0.0008403191,0.0007358729,0.00039325433,0.0003402006],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002015617,0.0004917221,0.23968261,0.0025965478,0.00033714538,0.0008257397,0.009443329,0.019908383,0.10805166,0.0064997477,0.0027597542,0.60920185],"study_design_scores_gemma":[0.000063948035,0.0004591262,0.77177936,0.0011638636,0.00037735258,0.0011410009,0.026496215,0.099246904,0.04375707,0.0076738517,0.047585946,0.0002553661],"about_ca_topic_score_codex":0.074214086,"about_ca_topic_score_gemma":0.16264574,"teacher_disagreement_score":0.074214086,"about_ca_system_score_codex":0.001186987,"about_ca_system_score_gemma":0.0020041429,"threshold_uncertainty_score":0.14756423},"labels":[],"label_agreement":null},{"id":"W4392594881","doi":"10.5194/egusphere-egu24-20","title":"Effect of Sampling Design on Characterizing Surface Soil Fingerprinting Properties.","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Brandon University","funders":"","keywords":"Sampling (signal processing); Surface (topology); Environmental science; Computer science; Statistics; Mathematics; Telecommunications; Geometry","score_opus":0.04102559869003547,"score_gpt":0.2718073338956916,"score_spread":0.23078173520565615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392594881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87031347,0.0006411241,0.12715453,0.00007382443,0.000041834937,0.0004508175,0.00030343913,0.00031995153,0.00070104015],"genre_scores_gemma":[0.8741107,0.000291649,0.12417344,0.0000808936,0.000014560675,0.00028853503,0.0006064169,0.000109049484,0.00032464453],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99342257,0.0039639086,0.0005627032,0.0007473547,0.001131566,0.0001718834],"domain_scores_gemma":[0.97619015,0.016070457,0.0029550595,0.0026652322,0.001858775,0.0002604035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01015532,0.0007936973,0.00042592373,0.0007810277,0.00035347953,0.0009471533,0.0005348572,0.0007707238,0.00068061304],"category_scores_gemma":[0.02390745,0.00051560346,0.0005001673,0.0008070616,0.0006703684,0.0006282407,0.00087472063,0.00031753664,0.00028265698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006493699,0.00074276194,0.24334942,0.0008237157,0.0005992779,0.00023208655,0.0005425251,0.0152995195,0.5909779,0.0003723129,0.00032484412,0.14024197],"study_design_scores_gemma":[0.00017089304,0.006198781,0.2938189,0.000088088826,0.0008229263,0.0013456112,0.00028446707,0.04950591,0.6433578,0.0007021731,0.0035736796,0.00013074551],"about_ca_topic_score_codex":0.0011591701,"about_ca_topic_score_gemma":0.0015009515,"teacher_disagreement_score":0.01015532,"about_ca_system_score_codex":0.00035214928,"about_ca_system_score_gemma":0.0002903767,"threshold_uncertainty_score":0.053707123},"labels":[],"label_agreement":null},{"id":"W4393424345","doi":"10.5281/zenodo.10566197","title":"VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Feature (linguistics); Modal; Computer science; Artificial intelligence; Pattern recognition (psychology); Philosophy; Materials science; Linguistics; Polymer chemistry","score_opus":0.01719019182558093,"score_gpt":0.24945922325136208,"score_spread":0.23226903142578115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393424345","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051807235,0.0029869257,0.014095337,0.0002676462,0.00051344885,0.0005100175,0.9368747,0.035613548,0.003957679],"genre_scores_gemma":[0.004744466,0.00035031763,0.008812689,0.000106205094,0.00005866092,0.0004779911,0.98355097,0.0006601723,0.0012384786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981787,0.00015968928,0.00018891045,0.0006070595,0.0006040893,0.00026144908],"domain_scores_gemma":[0.9985952,0.0002592768,0.00010703913,0.00050142524,0.0004007926,0.00013627169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013032629,0.0044482634,0.0031153148,0.0071718353,0.0008927556,0.002611921,0.004588721,0.0034898806,0.035604943],"category_scores_gemma":[0.005470063,0.0009217071,0.0025527573,0.005203115,0.0005523602,0.0024615114,0.0030119265,0.0026584435,0.0639615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025910838,0.00026205744,0.0012698644,0.0012465345,0.0001249276,0.00021645642,0.000049753267,0.0011194459,0.0028530261,0.0004941038,0.93330294,0.058801807],"study_design_scores_gemma":[0.0009037995,0.0005753189,0.022922738,0.0013938508,0.000282918,0.0029592307,0.000389527,0.028006697,0.014691123,0.0064519546,0.9209705,0.0004524899],"about_ca_topic_score_codex":0.013693451,"about_ca_topic_score_gemma":0.019239288,"teacher_disagreement_score":0.035604943,"about_ca_system_score_codex":0.0012947527,"about_ca_system_score_gemma":0.0017094372,"threshold_uncertainty_score":0.119110465},"labels":[],"label_agreement":null},{"id":"W4393564240","doi":"10.5281/zenodo.10313903","title":"Mastodon Molar and Jaw Fragment (VCU_3D_2898)","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Molar; Fragment (logic); Molar ratio; Chemistry; Geology; Mathematics; Paleontology; Organic chemistry; Algorithm","score_opus":0.02512097175626076,"score_gpt":0.25221306390315756,"score_spread":0.2270920921468968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393564240","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013792553,0.00028773246,0.00035020927,0.00005760947,0.0000748801,0.000031307958,0.99427646,0.0017574716,0.0017850405],"genre_scores_gemma":[0.0014297363,0.00007921956,0.0008344435,0.000016106713,0.00000840721,0.00007068008,0.99644876,0.00017330045,0.00093941565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992386,0.00004984178,0.00005805683,0.00023022243,0.00026768257,0.00015561578],"domain_scores_gemma":[0.9995264,0.00007362113,0.000052490806,0.00013793567,0.00015102862,0.00005845785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004728567,0.0032635753,0.0016403283,0.0041686664,0.0009801516,0.001622098,0.0024326467,0.0020660392,0.05371182],"category_scores_gemma":[0.0014753367,0.0008609162,0.0012740908,0.004136892,0.00065550016,0.000995542,0.0024238983,0.001663138,0.1050412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014904964,0.00005360922,0.0021118373,0.0007308784,0.000030858202,0.00015030577,0.00007116319,0.0003529132,0.0008466193,0.00037399027,0.98279333,0.012335449],"study_design_scores_gemma":[0.000106449894,0.000022670001,0.009698453,0.00027219224,0.0000325457,0.00049270404,0.00020350535,0.00068068766,0.0020254627,0.0007249701,0.9857005,0.00003988994],"about_ca_topic_score_codex":0.022075495,"about_ca_topic_score_gemma":0.06131332,"teacher_disagreement_score":0.05371182,"about_ca_system_score_codex":0.0010586682,"about_ca_system_score_gemma":0.0016420346,"threshold_uncertainty_score":0.17968392},"labels":[],"label_agreement":null},{"id":"W4393622836","doi":"10.5281/zenodo.2613910","title":"International Soil Radiocarbon Database v1.0","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Wilfrid Laurier University","funders":"European Commission","keywords":"Radiocarbon dating; Database; Geology; Archaeology; Computer science; Environmental science; Geography","score_opus":0.030125104043733926,"score_gpt":0.2523338564958504,"score_spread":0.22220875245211646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393622836","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018644492,0.000050067392,0.00016622085,0.000025988224,0.000016961252,0.0000116610445,0.9987011,0.00033926696,0.0005023975],"genre_scores_gemma":[0.00025704294,0.000034798624,0.00030885742,0.000014312167,0.0000030008891,0.000051446346,0.9989919,0.000047820828,0.00029091162],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991653,0.0001376135,0.00011174292,0.0002643458,0.00019220109,0.00012876137],"domain_scores_gemma":[0.99901474,0.00016605342,0.00010143403,0.00028350647,0.00034528165,0.00008897027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008610754,0.0022904365,0.001424952,0.0036935336,0.0006572818,0.0017098457,0.0026564025,0.0014430612,0.039156113],"category_scores_gemma":[0.0028896676,0.0005557696,0.0011413948,0.0074364003,0.00039415417,0.0010491858,0.0016343793,0.001535592,0.0848823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007640052,0.000027665526,0.00079821225,0.00062482845,0.00003824975,0.00003844181,0.00002070705,0.0006598368,0.00031176512,0.00061999494,0.99224997,0.004534006],"study_design_scores_gemma":[0.0001491313,0.000017697565,0.0039026022,0.00017088729,0.000031370117,0.00009360708,0.00007147671,0.0007223578,0.00064166787,0.0014775607,0.9926892,0.00003246214],"about_ca_topic_score_codex":0.017072806,"about_ca_topic_score_gemma":0.028924827,"teacher_disagreement_score":0.039156113,"about_ca_system_score_codex":0.0011084931,"about_ca_system_score_gemma":0.0019203403,"threshold_uncertainty_score":0.1309902},"labels":[],"label_agreement":null},{"id":"W4393644966","doi":"10.5281/zenodo.10313904","title":"Mastodon Molar and Jaw Fragment (VCU_3D_2898)","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Molar; Molar ratio; Fragment (logic); Chemistry; Mathematics; Biology; Paleontology; Organic chemistry; Algorithm; Catalysis","score_opus":0.02512097175626076,"score_gpt":0.25221306390315756,"score_spread":0.2270920921468968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393644966","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013792553,0.00028773246,0.00035020927,0.00005760947,0.0000748801,0.000031307958,0.99427646,0.0017574716,0.0017850405],"genre_scores_gemma":[0.0014297363,0.00007921956,0.0008344435,0.000016106713,0.00000840721,0.00007068008,0.99644876,0.00017330045,0.00093941565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992386,0.00004984178,0.00005805683,0.00023022243,0.00026768257,0.00015561578],"domain_scores_gemma":[0.9995264,0.00007362113,0.000052490806,0.00013793567,0.00015102862,0.00005845785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004728567,0.0032635753,0.0016403283,0.0041686664,0.0009801516,0.001622098,0.0024326467,0.0020660392,0.05371182],"category_scores_gemma":[0.0014753367,0.0008609162,0.0012740908,0.004136892,0.00065550016,0.000995542,0.0024238983,0.001663138,0.1050412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014904964,0.00005360922,0.0021118373,0.0007308784,0.000030858202,0.00015030577,0.00007116319,0.0003529132,0.0008466193,0.00037399027,0.98279333,0.012335449],"study_design_scores_gemma":[0.000106449894,0.000022670001,0.009698453,0.00027219224,0.0000325457,0.00049270404,0.00020350535,0.00068068766,0.0020254627,0.0007249701,0.9857005,0.00003988994],"about_ca_topic_score_codex":0.022075495,"about_ca_topic_score_gemma":0.06131332,"teacher_disagreement_score":0.05371182,"about_ca_system_score_codex":0.0010586682,"about_ca_system_score_gemma":0.0016420346,"threshold_uncertainty_score":0.17968392},"labels":[],"label_agreement":null},{"id":"W4393650548","doi":"10.5281/zenodo.2573264","title":"3D IQ Test Task (3D-IQTT) - A Dataset for Quantitative Evaluation of 3D Reconstruction from 2D Images","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Commission","keywords":"Task (project management); Test (biology); Artificial intelligence; Pattern recognition (psychology); Computer science; 3D reconstruction; Computer vision; Geology; Paleontology; Engineering","score_opus":0.06462840664928166,"score_gpt":0.3056498850064925,"score_spread":0.24102147835721083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393650548","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02276827,0.002550357,0.01948781,0.0007740123,0.0008858383,0.0015883972,0.8934383,0.031218467,0.027288541],"genre_scores_gemma":[0.01677274,0.00026536718,0.01784281,0.0002578233,0.00006309651,0.00064067496,0.95786095,0.001119724,0.0051768553],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99609166,0.0008531238,0.0003750916,0.00084100146,0.0015058796,0.0003331492],"domain_scores_gemma":[0.99559104,0.0011818971,0.00023326841,0.0013986097,0.0012182371,0.000376975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021220199,0.0049529844,0.0018366729,0.003109354,0.0012169963,0.0026496663,0.004360767,0.0039021983,0.046955325],"category_scores_gemma":[0.009106797,0.00069569045,0.0027577127,0.0026223015,0.001002715,0.0023504538,0.0045989538,0.0025679644,0.048315544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008021396,0.00045070724,0.0030499126,0.0021894013,0.00018113828,0.00031162452,0.00016091288,0.004780355,0.0035996917,0.0015457731,0.89994067,0.082987666],"study_design_scores_gemma":[0.0009899123,0.0010549119,0.030814147,0.0014608608,0.00020793268,0.002504306,0.0011687456,0.053534314,0.022262951,0.00856371,0.87703097,0.00040725066],"about_ca_topic_score_codex":0.012991208,"about_ca_topic_score_gemma":0.027762674,"teacher_disagreement_score":0.046955325,"about_ca_system_score_codex":0.0017652662,"about_ca_system_score_gemma":0.0016957775,"threshold_uncertainty_score":0.15708119},"labels":[],"label_agreement":null},{"id":"W4393656946","doi":"10.5281/zenodo.10013329","title":"VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Modal; Feature (linguistics); Computer science; Artificial intelligence; Pattern recognition (psychology); Philosophy; Materials science; Linguistics; Polymer chemistry","score_opus":0.02258615830888217,"score_gpt":0.2543638961721714,"score_spread":0.23177773786328926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393656946","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051807235,0.0029869257,0.014095337,0.0002676462,0.00051344885,0.0005100175,0.9368747,0.035613548,0.003957679],"genre_scores_gemma":[0.004744466,0.00035031763,0.008812689,0.000106205094,0.00005866092,0.0004779911,0.98355097,0.0006601723,0.0012384786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981787,0.00015968928,0.00018891045,0.0006070595,0.0006040893,0.00026144908],"domain_scores_gemma":[0.9985952,0.0002592768,0.00010703913,0.00050142524,0.0004007926,0.00013627169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013032629,0.0044482634,0.0031153148,0.0071718353,0.0008927556,0.002611921,0.004588721,0.0034898806,0.035604943],"category_scores_gemma":[0.005470063,0.0009217071,0.0025527573,0.005203115,0.0005523602,0.0024615114,0.0030119265,0.0026584435,0.0639615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025910838,0.00026205744,0.0012698644,0.0012465345,0.0001249276,0.00021645642,0.000049753267,0.0011194459,0.0028530261,0.0004941038,0.93330294,0.058801807],"study_design_scores_gemma":[0.0009037995,0.0005753189,0.022922738,0.0013938508,0.000282918,0.0029592307,0.000389527,0.028006697,0.014691123,0.0064519546,0.9209705,0.0004524899],"about_ca_topic_score_codex":0.013693451,"about_ca_topic_score_gemma":0.019239288,"teacher_disagreement_score":0.035604943,"about_ca_system_score_codex":0.0012947527,"about_ca_system_score_gemma":0.0017094372,"threshold_uncertainty_score":0.119110465},"labels":[],"label_agreement":null},{"id":"W4393703380","doi":"10.5281/zenodo.8008717","title":"GEO-Bench: m-forestnet","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Geology","score_opus":0.0348371571042854,"score_gpt":0.2500447969517678,"score_spread":0.2152076398474824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393703380","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005571816,0.00015386808,0.00056676427,0.00011312363,0.000070072056,0.00002371164,0.99058634,0.005961021,0.001967848],"genre_scores_gemma":[0.00050914206,0.000042905307,0.0007028174,0.00004535876,0.0000074392187,0.000041949635,0.9977574,0.00038974243,0.0005032404],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897325,0.00013466876,0.000073332325,0.00035665013,0.00026630872,0.0001958371],"domain_scores_gemma":[0.99908364,0.00012998184,0.0000616268,0.00032761588,0.00028223192,0.00011488977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087120704,0.0037812577,0.0015238624,0.0033568114,0.0010865637,0.0021795544,0.0039949506,0.0025646056,0.049635943],"category_scores_gemma":[0.0028237284,0.0008432737,0.0015687078,0.004627354,0.0006578797,0.0025408838,0.0023037812,0.0024136547,0.1346741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041334733,0.000021134923,0.00035140372,0.00024845087,0.00001915458,0.000019573283,0.000017177083,0.0003660033,0.00022150509,0.0004997238,0.99589044,0.0023041654],"study_design_scores_gemma":[0.0001670479,0.000021302829,0.0027915414,0.00018411824,0.000029144909,0.00014505222,0.000105800216,0.002256333,0.0012577382,0.0033545697,0.98964125,0.00004607546],"about_ca_topic_score_codex":0.026226936,"about_ca_topic_score_gemma":0.055037975,"teacher_disagreement_score":0.049635943,"about_ca_system_score_codex":0.0015640596,"about_ca_system_score_gemma":0.0019233476,"threshold_uncertainty_score":0.16604877},"labels":[],"label_agreement":null},{"id":"W4393730458","doi":"10.5281/zenodo.10013328","title":"VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Modal; Feature (linguistics); Computer science; Artificial intelligence; Pattern recognition (psychology); Philosophy; Materials science; Linguistics; Polymer chemistry","score_opus":0.01719019182558093,"score_gpt":0.24945922325136208,"score_spread":0.23226903142578115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393730458","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051807235,0.0029869257,0.014095337,0.0002676462,0.00051344885,0.0005100175,0.9368747,0.035613548,0.003957679],"genre_scores_gemma":[0.004744466,0.00035031763,0.008812689,0.000106205094,0.00005866092,0.0004779911,0.98355097,0.0006601723,0.0012384786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981787,0.00015968928,0.00018891045,0.0006070595,0.0006040893,0.00026144908],"domain_scores_gemma":[0.9985952,0.0002592768,0.00010703913,0.00050142524,0.0004007926,0.00013627169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013032629,0.0044482634,0.0031153148,0.0071718353,0.0008927556,0.002611921,0.004588721,0.0034898806,0.035604943],"category_scores_gemma":[0.005470063,0.0009217071,0.0025527573,0.005203115,0.0005523602,0.0024615114,0.0030119265,0.0026584435,0.0639615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025910838,0.00026205744,0.0012698644,0.0012465345,0.0001249276,0.00021645642,0.000049753267,0.0011194459,0.0028530261,0.0004941038,0.93330294,0.058801807],"study_design_scores_gemma":[0.0009037995,0.0005753189,0.022922738,0.0013938508,0.000282918,0.0029592307,0.000389527,0.028006697,0.014691123,0.0064519546,0.9209705,0.0004524899],"about_ca_topic_score_codex":0.013693451,"about_ca_topic_score_gemma":0.019239288,"teacher_disagreement_score":0.035604943,"about_ca_system_score_codex":0.0012947527,"about_ca_system_score_gemma":0.0017094372,"threshold_uncertainty_score":0.119110465},"labels":[],"label_agreement":null},{"id":"W4393755102","doi":"10.5281/zenodo.8429605","title":"StrydeTraining at KAUST (26_09_2023)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Environmental science; Computer science","score_opus":0.044810009601814076,"score_gpt":0.2592504260205359,"score_spread":0.2144404164187218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393755102","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032373723,0.00035123335,0.0014381399,0.00011853063,0.00015873347,0.00007350153,0.98297703,0.009132391,0.0025131037],"genre_scores_gemma":[0.0018851821,0.000052571224,0.0015861085,0.000035427453,0.000011451426,0.000055508594,0.99513334,0.0003366327,0.00090384507],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991786,0.00010747175,0.00004419853,0.00028250486,0.00023711991,0.00015003378],"domain_scores_gemma":[0.99928147,0.00007089493,0.000051435945,0.0003170583,0.00019197374,0.00008715935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008197199,0.0030895583,0.0015006806,0.0019268704,0.00080553,0.0014970275,0.0032193076,0.0021046954,0.021490285],"category_scores_gemma":[0.0015905958,0.00058296113,0.0013486851,0.0019872908,0.00066446664,0.0010274803,0.0018029535,0.0017285133,0.0665072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002395831,0.00010990368,0.00093487155,0.0006028854,0.00007847365,0.00012552281,0.000044313812,0.001714981,0.0014820939,0.00040439155,0.98391795,0.010345027],"study_design_scores_gemma":[0.0003684868,0.00011822344,0.01246605,0.00028643312,0.000068623944,0.0004209427,0.0001507509,0.0058007995,0.0055932854,0.0023217874,0.972297,0.00010761256],"about_ca_topic_score_codex":0.016067035,"about_ca_topic_score_gemma":0.037527118,"teacher_disagreement_score":0.021490285,"about_ca_system_score_codex":0.00084648666,"about_ca_system_score_gemma":0.0013111795,"threshold_uncertainty_score":0.07189214},"labels":[],"label_agreement":null},{"id":"W4393821669","doi":"10.5281/zenodo.10221404","title":"King Mountain Cairn (1M-colour) from SCENE 7.0","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Archaeology; Cartography; Computer graphics (images); Art; Computer science","score_opus":0.032513600820352845,"score_gpt":0.2660261479601847,"score_spread":0.23351254713983186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393821669","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013334898,0.00037666975,0.0002589654,0.000104028426,0.00009282202,0.000063174346,0.9914997,0.002897111,0.0033740331],"genre_scores_gemma":[0.00093323825,0.00011510657,0.00061169243,0.00002311294,0.00000864114,0.000037190268,0.99657226,0.00019555283,0.0015031238],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917704,0.000057396945,0.000035731067,0.00022463777,0.00025639372,0.00024869238],"domain_scores_gemma":[0.9993135,0.00006212912,0.000035711826,0.00018445012,0.00028509134,0.00011914664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042259286,0.004560865,0.0021158203,0.004841613,0.0014228481,0.0022592947,0.004195453,0.0024164426,0.050171208],"category_scores_gemma":[0.0013831556,0.0009477608,0.0015420069,0.0072991904,0.0007612718,0.0011252,0.0021241393,0.0023646138,0.09470576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008765909,0.000037085425,0.0005526887,0.00046126408,0.000027512986,0.00006797941,0.00004687992,0.00031474547,0.0002865473,0.00020342824,0.993109,0.0048053386],"study_design_scores_gemma":[0.00015262261,0.000028571514,0.007610694,0.0003242955,0.000035488374,0.00023352518,0.000310431,0.001418259,0.0014397473,0.0006930204,0.98770344,0.00004992707],"about_ca_topic_score_codex":0.2695095,"about_ca_topic_score_gemma":0.58950126,"teacher_disagreement_score":0.2695095,"about_ca_system_score_codex":0.0035466265,"about_ca_system_score_gemma":0.004154736,"threshold_uncertainty_score":0.5358815},"labels":[],"label_agreement":null},{"id":"W4393832891","doi":"10.5281/zenodo.8326398","title":"Dataset and R script used in \"Local knowledge reconstructs historical resource use\" published in Frontiers in Ecology and the Environment","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Resource (disambiguation); Ecology; Geography; Resource use; History; Environmental resource management; Computer science; Biology; Environmental science","score_opus":0.025193758721754472,"score_gpt":0.2181265573334184,"score_spread":0.19293279861166393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393832891","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014210067,0.000054505723,0.0005358996,0.000057838235,0.000032514527,0.00004288575,0.997255,0.0012774153,0.0006017489],"genre_scores_gemma":[0.0005478906,0.0000455175,0.0017692859,0.00005829844,0.0000060812067,0.00043390374,0.99601775,0.0005230104,0.0005981853],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983909,0.00026458845,0.0002418629,0.0005073206,0.0003817013,0.00021367807],"domain_scores_gemma":[0.99718285,0.0010644419,0.00025744268,0.0006282255,0.0006282699,0.0002387923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002167399,0.0031474931,0.0019290413,0.003664739,0.00126935,0.0033117442,0.0040077916,0.0022890356,0.10646686],"category_scores_gemma":[0.009167504,0.0011283363,0.0018164072,0.0043282313,0.0007941452,0.0015329126,0.0029251364,0.0029549764,0.10656661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006448706,0.000024900963,0.00059716875,0.00091193494,0.00005640906,0.00003897557,0.000031039646,0.00048770482,0.0002200175,0.00074198924,0.9943863,0.0024390486],"study_design_scores_gemma":[0.00051955756,0.000023885132,0.0048447195,0.0005237913,0.00009100644,0.00019659247,0.000113686474,0.0011674281,0.0010646182,0.005549735,0.98582447,0.00008045511],"about_ca_topic_score_codex":0.0206795,"about_ca_topic_score_gemma":0.03258328,"teacher_disagreement_score":0.10646686,"about_ca_system_score_codex":0.0015881872,"about_ca_system_score_gemma":0.0031604532,"threshold_uncertainty_score":0.35616714},"labels":[],"label_agreement":null},{"id":"W4394038895","doi":"10.5281/zenodo.4001160","title":"Annotree - GTDB archaea R95 database","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Archaea; Database; Computer science; Biology; Genetics; Bacteria","score_opus":0.03536175358566442,"score_gpt":0.2451956677852548,"score_spread":0.20983391419959038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394038895","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004466175,0.00006415787,0.00016142397,0.000019975552,0.000019799412,0.000014348441,0.99764687,0.0010657798,0.0005609502],"genre_scores_gemma":[0.00031034302,0.000030428371,0.00033204036,0.000014180469,0.0000017018259,0.000043087537,0.99890864,0.00012716197,0.00023250248],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876106,0.00016960128,0.00017179796,0.00042472137,0.0002633237,0.00020947917],"domain_scores_gemma":[0.9986512,0.00027701864,0.00012613517,0.00048055948,0.00028936967,0.00017563731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011397435,0.0030584838,0.002009074,0.0048980885,0.0012884561,0.002161469,0.0036034693,0.0019305961,0.049091544],"category_scores_gemma":[0.0030360173,0.0010065871,0.0018307894,0.006958146,0.0005068337,0.0013328876,0.002097558,0.0017253886,0.08583772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039029558,0.00007945686,0.0013778042,0.0019516055,0.00008723509,0.00008393326,0.00007313064,0.00090535654,0.0018308939,0.0009125021,0.9867213,0.0055865394],"study_design_scores_gemma":[0.00033392786,0.00005432503,0.004159977,0.00028522516,0.00008949964,0.00015528525,0.00015606947,0.0011468426,0.002215972,0.0013216377,0.99001545,0.000065883665],"about_ca_topic_score_codex":0.01572492,"about_ca_topic_score_gemma":0.02226799,"teacher_disagreement_score":0.049091544,"about_ca_system_score_codex":0.001139484,"about_ca_system_score_gemma":0.0026534293,"threshold_uncertainty_score":0.1642276},"labels":[],"label_agreement":null},{"id":"W4394048137","doi":"10.5281/zenodo.10221403","title":"King Mountain Cairn (1M-colour) from SCENE 7.0","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Geography; Cartography","score_opus":0.032513600820352845,"score_gpt":0.2660261479601847,"score_spread":0.23351254713983186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394048137","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013334898,0.00037666975,0.0002589654,0.000104028426,0.00009282202,0.000063174346,0.9914997,0.002897111,0.0033740331],"genre_scores_gemma":[0.00093323825,0.00011510657,0.00061169243,0.00002311294,0.00000864114,0.000037190268,0.99657226,0.00019555283,0.0015031238],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917704,0.000057396945,0.000035731067,0.00022463777,0.00025639372,0.00024869238],"domain_scores_gemma":[0.9993135,0.00006212912,0.000035711826,0.00018445012,0.00028509134,0.00011914664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042259286,0.004560865,0.0021158203,0.004841613,0.0014228481,0.0022592947,0.004195453,0.0024164426,0.050171208],"category_scores_gemma":[0.0013831556,0.0009477608,0.0015420069,0.0072991904,0.0007612718,0.0011252,0.0021241393,0.0023646138,0.09470576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008765909,0.000037085425,0.0005526887,0.00046126408,0.000027512986,0.00006797941,0.00004687992,0.00031474547,0.0002865473,0.00020342824,0.993109,0.0048053386],"study_design_scores_gemma":[0.00015262261,0.000028571514,0.007610694,0.0003242955,0.000035488374,0.00023352518,0.000310431,0.001418259,0.0014397473,0.0006930204,0.98770344,0.00004992707],"about_ca_topic_score_codex":0.2695095,"about_ca_topic_score_gemma":0.58950126,"teacher_disagreement_score":0.2695095,"about_ca_system_score_codex":0.0035466265,"about_ca_system_score_gemma":0.004154736,"threshold_uncertainty_score":0.5358815},"labels":[],"label_agreement":null},{"id":"W4394092082","doi":"10.6084/m9.figshare.1187062","title":"Field training lab- woodlot dataset 3","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Field (mathematics); Field training; Forestry; Geography; Engineering; Meteorology; Mathematics; Operations management","score_opus":0.05047328202494032,"score_gpt":0.27954979786508183,"score_spread":0.2290765158401415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394092082","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009810289,0.00016282141,0.001139847,0.00024469048,0.00015461972,0.0001688502,0.9792956,0.004091121,0.0049322033],"genre_scores_gemma":[0.008271376,0.000058976188,0.003321558,0.00012950155,0.000022206272,0.0003285211,0.98487574,0.00014916145,0.0028429995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933356,0.00015001527,0.00005623336,0.0002116285,0.00013332574,0.00011517361],"domain_scores_gemma":[0.9987696,0.00027151487,0.00007269563,0.00034122568,0.00041354945,0.00013145038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078547874,0.001279583,0.00089216325,0.0013107636,0.0006115926,0.00083119463,0.001890125,0.0011337294,0.03851564],"category_scores_gemma":[0.002871497,0.00031081343,0.0008698489,0.0016148592,0.00026358516,0.0009025902,0.0008781705,0.00091415807,0.042694602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029198456,0.00036957258,0.00882573,0.0005450523,0.00005216744,0.000110907524,0.0001097606,0.0014667477,0.0006039028,0.00043053538,0.96171963,0.025474105],"study_design_scores_gemma":[0.00052335346,0.00031524815,0.053561665,0.00037510548,0.000059112837,0.00022560019,0.00097367965,0.012908266,0.0020244273,0.0020984758,0.92682534,0.00010960819],"about_ca_topic_score_codex":0.0183501,"about_ca_topic_score_gemma":0.065459155,"teacher_disagreement_score":0.03851564,"about_ca_system_score_codex":0.00073576,"about_ca_system_score_gemma":0.0008509398,"threshold_uncertainty_score":0.1288476},"labels":[],"label_agreement":null},{"id":"W4394166883","doi":"10.6084/m9.figshare.20290155","title":"LLSM Dataset for Virtual and Augmented reality","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Augmented reality; Virtual reality; Computer science; Computer graphics (images); Human–computer interaction","score_opus":0.047851367248688784,"score_gpt":0.29872203077353826,"score_spread":0.2508706635248495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394166883","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010560844,0.0005964919,0.002928554,0.00023753049,0.00020238836,0.00014752655,0.9859137,0.005917436,0.0030004],"genre_scores_gemma":[0.0020479665,0.00017112859,0.003720063,0.00009061741,0.000018773078,0.00025444356,0.9922213,0.000319263,0.0011564221],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975405,0.00036216533,0.000257703,0.0006388326,0.0008884013,0.000312464],"domain_scores_gemma":[0.9984139,0.00024130514,0.000094836905,0.0005622959,0.00055889995,0.00012866968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012619224,0.0043548127,0.0024517402,0.0036170424,0.0012179594,0.0027179786,0.0045572254,0.0029590067,0.059872456],"category_scores_gemma":[0.00400024,0.0007542655,0.0028658134,0.0040533156,0.0005732775,0.0017205292,0.00415577,0.002428436,0.09611162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014122522,0.00008170316,0.0006371228,0.00081483304,0.00008905239,0.00010441297,0.000039455375,0.00170384,0.0010677989,0.0007156458,0.97556484,0.019040106],"study_design_scores_gemma":[0.0001829366,0.00008600107,0.004199544,0.00044832483,0.00008482672,0.00042334478,0.00026084002,0.008310451,0.0030783324,0.003049308,0.979745,0.00013116299],"about_ca_topic_score_codex":0.021002997,"about_ca_topic_score_gemma":0.040058807,"teacher_disagreement_score":0.059872456,"about_ca_system_score_codex":0.0013861029,"about_ca_system_score_gemma":0.0019728276,"threshold_uncertainty_score":0.2002933},"labels":[],"label_agreement":null},{"id":"W4394196335","doi":"10.6084/m9.figshare.16676809.v2","title":"rawdata.xlsx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Physics","score_opus":0.02574003680647216,"score_gpt":0.25106130944967114,"score_spread":0.22532127264319898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394196335","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000033549135,0.000019749337,0.00005305908,0.000038922055,0.000021006006,0.000012314854,0.9989328,0.00040063952,0.00048780776],"genre_scores_gemma":[0.00022656925,0.00004459333,0.00034879133,0.000069182206,0.000008140224,0.00017422352,0.9978661,0.00035200533,0.0009105124],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986255,0.00017036703,0.00023188374,0.00040726663,0.00028804285,0.00027681584],"domain_scores_gemma":[0.99702233,0.0009559339,0.00024913493,0.00056594826,0.0009381461,0.00026856747],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015099194,0.0028077636,0.0018850501,0.0037267366,0.001356219,0.0036636405,0.00320479,0.002444947,0.35308406],"category_scores_gemma":[0.008677655,0.0012670254,0.0016279691,0.0074983602,0.0007258602,0.0024862732,0.003651546,0.0030097652,0.32003808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004687261,0.000017450324,0.00030485922,0.0010949407,0.00001967967,0.000014112458,0.000029729985,0.00012715162,0.00012742027,0.0003673564,0.9962275,0.0016230256],"study_design_scores_gemma":[0.00022739219,0.000014432075,0.0021999008,0.00031182275,0.000023334533,0.000026493663,0.00008602229,0.00014447822,0.0003373403,0.0013486098,0.9952437,0.000036439873],"about_ca_topic_score_codex":0.020100085,"about_ca_topic_score_gemma":0.030745132,"teacher_disagreement_score":0.6469159,"about_ca_system_score_codex":0.0014293058,"about_ca_system_score_gemma":0.0031329468,"threshold_uncertainty_score":0.9227471},"labels":[],"label_agreement":null},{"id":"W4394207409","doi":"10.6084/m9.figshare.24083637","title":"Doubletetal_rawdata.xlsx","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.040472033574071635,"score_gpt":0.2744657385119599,"score_spread":0.23399370493788824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394207409","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004702917,0.00002227103,0.0000846404,0.000029234709,0.000015247881,0.000009761026,0.9988851,0.000648439,0.00025827592],"genre_scores_gemma":[0.0003349538,0.00004359523,0.00056503864,0.000058359343,0.0000058888654,0.00015333263,0.9980116,0.00033259086,0.00049473916],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987041,0.00015637044,0.00020204851,0.00047739144,0.00028436186,0.00017577046],"domain_scores_gemma":[0.9968913,0.001392049,0.0002861246,0.00057010975,0.0006182852,0.0002420082],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015697553,0.0025773358,0.0021931943,0.0039450545,0.0011332872,0.0036274078,0.0030981074,0.0025616444,0.22701839],"category_scores_gemma":[0.0081712175,0.0012127091,0.0017252357,0.006234827,0.0006722567,0.0019577695,0.0028565368,0.0022136192,0.18462561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013016076,0.000031431384,0.00083014567,0.0021998317,0.00006558384,0.000032343418,0.000043185406,0.00041837397,0.00039877155,0.0005755304,0.99198794,0.0032867389],"study_design_scores_gemma":[0.00038629674,0.000031752894,0.0029296433,0.00036450333,0.00006276847,0.000049995877,0.00007629891,0.00045200324,0.0008480737,0.002059996,0.9926838,0.0000547959],"about_ca_topic_score_codex":0.010301074,"about_ca_topic_score_gemma":0.018732216,"teacher_disagreement_score":0.77298164,"about_ca_system_score_codex":0.0016543997,"about_ca_system_score_gemma":0.0029315504,"threshold_uncertainty_score":0.75945216},"labels":[],"label_agreement":null},{"id":"W4394213051","doi":"10.6084/m9.figshare.23713047","title":"Groundwater Residence Time Compilation for Precambrian Rocks","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Precambrian; Geology; Groundwater; Residence time (fluid dynamics); Geochemistry; Residence; Earth science; Geotechnical engineering; Demography","score_opus":0.03607561381834661,"score_gpt":0.2708905965384742,"score_spread":0.23481498272012757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394213051","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004855348,0.00006509773,0.00014764347,0.000017636592,0.000010540051,0.0000051993748,0.9982287,0.00048934785,0.00055024546],"genre_scores_gemma":[0.000805001,0.000055445224,0.00056048983,0.000009891115,0.000003090175,0.00002639095,0.9980009,0.000069440306,0.00046933646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965584,0.000027059477,0.00003657814,0.00012450208,0.00008711455,0.00006891025],"domain_scores_gemma":[0.99936277,0.00009136848,0.00007557648,0.00017786126,0.00024606613,0.00004646696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034105906,0.0018056906,0.0012012635,0.0036220127,0.0006534742,0.0010689665,0.0016297022,0.0010861766,0.025908563],"category_scores_gemma":[0.0014154798,0.0005818345,0.0011138906,0.0050222743,0.00026369398,0.00067826256,0.0010638108,0.001179955,0.036301214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010431171,0.000035391644,0.0029225328,0.0013932629,0.00007693737,0.00009367658,0.00007586095,0.0013104512,0.0012331093,0.0008783612,0.98076504,0.011111021],"study_design_scores_gemma":[0.00011225327,0.000013050308,0.012533374,0.00024619614,0.000046201043,0.00011783625,0.00010077982,0.0009320935,0.0014382965,0.0011983131,0.98322934,0.000032160155],"about_ca_topic_score_codex":0.039441343,"about_ca_topic_score_gemma":0.08142493,"teacher_disagreement_score":0.039441343,"about_ca_system_score_codex":0.0008900114,"about_ca_system_score_gemma":0.0014795427,"threshold_uncertainty_score":0.08667278},"labels":[],"label_agreement":null},{"id":"W4394284056","doi":"10.6084/m9.figshare.1186820","title":"[Woodlot Dataset 4] Comparing the DBH of adult maples to nearby maple saplings","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maple; Forestry; Geography; Biology; Ecology","score_opus":0.0322954396977874,"score_gpt":0.26714188098517894,"score_spread":0.23484644128739154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394284056","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015416055,0.00016930432,0.00020003562,0.000051602656,0.000051112926,0.000015270163,0.9960192,0.0012674571,0.0006843247],"genre_scores_gemma":[0.0026782847,0.00007052946,0.0007359242,0.000038368078,0.000016509712,0.00006341701,0.9957848,0.00011446119,0.0004975752],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938273,0.00009208306,0.000067560366,0.00024704402,0.00011489764,0.00009571326],"domain_scores_gemma":[0.9992287,0.00018083514,0.000081802595,0.00018869645,0.00024964698,0.00007029861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061374647,0.002180629,0.0013306348,0.002784527,0.00057349965,0.001464416,0.0017094397,0.001234842,0.038184244],"category_scores_gemma":[0.0035680484,0.00035305638,0.0016343389,0.0030755815,0.00016334302,0.00083939993,0.0009983615,0.00076731725,0.04750251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002877064,0.00008802972,0.009625577,0.0012699785,0.00019485597,0.00009234202,0.00007340939,0.0010647514,0.00056149403,0.00023812582,0.97307056,0.013433098],"study_design_scores_gemma":[0.0006791291,0.00019155166,0.114729986,0.0006604926,0.00022843064,0.00034414453,0.0005009373,0.005674336,0.0012098913,0.0019903802,0.8736119,0.00017880394],"about_ca_topic_score_codex":0.02729674,"about_ca_topic_score_gemma":0.058916084,"teacher_disagreement_score":0.038184244,"about_ca_system_score_codex":0.0005388401,"about_ca_system_score_gemma":0.00063282263,"threshold_uncertainty_score":0.12773907},"labels":[],"label_agreement":null},{"id":"W4394404581","doi":"10.6084/m9.figshare.826213","title":"Data from \"Millennial stocks and fluxes of large woody debris in lakes of the North American taiga\"","year":2013,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coarse woody debris; Taiga; Debris; Physical geography; Geology; Boreal; Environmental science; Hydrology (agriculture); Geography; Forestry; Oceanography; Ecology; Geotechnical engineering; Paleontology; Habitat","score_opus":0.029711619012809314,"score_gpt":0.26190590933920843,"score_spread":0.23219429032639913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394404581","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028197423,0.00003794148,0.000036042413,0.000031848474,0.000007914908,0.000010721336,0.99642426,0.00009136763,0.0005402406],"genre_scores_gemma":[0.0073815775,0.00008077696,0.00030919944,0.00003289194,0.00000765787,0.00009820169,0.99086565,0.000032218366,0.0011918359],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996847,0.000016302443,0.000036621816,0.00007248209,0.00011326483,0.00007675834],"domain_scores_gemma":[0.9980039,0.00015068443,0.00029054825,0.00012360742,0.0012219904,0.00020932755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034505382,0.0006791102,0.00060472067,0.002623288,0.0007263304,0.00097251515,0.0009315206,0.00039126462,0.02484048],"category_scores_gemma":[0.00188699,0.00034767843,0.00062837277,0.007538863,0.000150959,0.0005065748,0.00085102255,0.00048357446,0.007471212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016214627,0.00005047158,0.07694641,0.0012909626,0.00019639861,0.000094151255,0.000495736,0.0009158735,0.0006835577,0.0004562074,0.9050805,0.013627535],"study_design_scores_gemma":[0.0002012051,0.00001902957,0.5038603,0.0005392442,0.00010479009,0.00005821499,0.0007738288,0.001328425,0.0006307771,0.00026645255,0.49214938,0.00006830575],"about_ca_topic_score_codex":0.81692547,"about_ca_topic_score_gemma":0.8940672,"teacher_disagreement_score":0.81692547,"about_ca_system_score_codex":0.0040550698,"about_ca_system_score_gemma":0.0053903447,"threshold_uncertainty_score":0.3683054},"labels":[],"label_agreement":null},{"id":"W4394529737","doi":"10.6084/m9.figshare.10312097","title":"Simplified shape file for mapping","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer graphics (images); Database","score_opus":0.0668054570473611,"score_gpt":0.277849486443271,"score_spread":0.2110440293959099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394529737","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000057994697,0.000022305809,0.00024916406,0.00003769881,0.000028287144,0.00001176673,0.9971084,0.0015119922,0.00097248756],"genre_scores_gemma":[0.00026195223,0.000036035457,0.0010491179,0.000034654004,0.000004968141,0.00007798326,0.9970048,0.00065089326,0.00087961147],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999041,0.000100634454,0.00010440842,0.0003481303,0.00023525009,0.00017052572],"domain_scores_gemma":[0.9977458,0.00049857865,0.0001203201,0.000732286,0.00072963187,0.00017338077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087129674,0.0026675581,0.0015513891,0.0029947374,0.0012367152,0.002416013,0.0030714308,0.0019789566,0.21874453],"category_scores_gemma":[0.0052028783,0.0011502134,0.0014584666,0.0068583614,0.0005019222,0.002302151,0.0029712599,0.0022404608,0.28240082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021928367,0.0000080241425,0.00024968493,0.00022910588,0.0000076117262,0.000012938749,0.000019404219,0.00013192541,0.00008675187,0.00027546272,0.99705887,0.0018983105],"study_design_scores_gemma":[0.00008125364,0.0000069385915,0.0014747812,0.0001587659,0.000011972358,0.00005630428,0.00009111082,0.0003512349,0.00042612187,0.0015602462,0.9957562,0.000025037707],"about_ca_topic_score_codex":0.035058137,"about_ca_topic_score_gemma":0.0797111,"teacher_disagreement_score":0.21874453,"about_ca_system_score_codex":0.0017754855,"about_ca_system_score_gemma":0.0026718,"threshold_uncertainty_score":0.7317734},"labels":[],"label_agreement":null},{"id":"W4394679388","doi":"10.1093/forestscience/51.4.277","title":"Comparing and Combining Stem Analysis and Permanent Sample Plot Data in Site Index Models","year":2005,"lang":"en","type":"article","venue":"Forest Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Universidade de Santiago de Compostela; Xunta de Galicia","keywords":"Site index; Plot (graphics); Index (typography); Statistics; Sample (material); Geography; Forestry; Mathematics; Computer science; Chemistry","score_opus":0.04768651550920183,"score_gpt":0.2700057997363286,"score_spread":0.22231928422712677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394679388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77945226,0.00029976608,0.21529828,0.000086239306,0.000046729878,0.00012755899,0.0011513729,0.0017231125,0.0018145782],"genre_scores_gemma":[0.91956306,0.0001141942,0.077510945,0.000029714172,0.00001768798,0.00007396545,0.0018032743,0.00028937825,0.0005978787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986853,0.0005724248,0.00009140376,0.00028324328,0.00027654768,0.000091017726],"domain_scores_gemma":[0.99153054,0.0059918812,0.00033177648,0.00075289316,0.0012361037,0.00015675405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051671015,0.0008839803,0.00091601297,0.0036561517,0.0005844677,0.0016889313,0.0010576738,0.00093687215,0.00094654295],"category_scores_gemma":[0.01203252,0.0004923473,0.001090977,0.0025706002,0.00031795257,0.002128264,0.0006973828,0.0005907836,0.0006734802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011551538,0.0005348873,0.20640013,0.00020483756,0.00077878253,0.0001436637,0.00033151152,0.42202273,0.02074648,0.0015008885,0.0018235439,0.34435737],"study_design_scores_gemma":[0.00003311045,0.00013914652,0.042939965,0.00001672484,0.00029509419,0.00007018124,0.0001145868,0.9465867,0.0073540052,0.0015648236,0.0008483136,0.00003733523],"about_ca_topic_score_codex":0.009802575,"about_ca_topic_score_gemma":0.02243732,"teacher_disagreement_score":0.009802575,"about_ca_system_score_codex":0.00074397435,"about_ca_system_score_gemma":0.0009194529,"threshold_uncertainty_score":0.027326524},"labels":[],"label_agreement":null},{"id":"W4396617025","doi":"10.23977/jemm.2024.090112","title":"Mining Autonomous Vehicle Driving Boundary Detection on Basis of 3D LiDAR","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lidar; Boundary (topology); Basis (linear algebra); Remote sensing; Computer science; Computer vision; Geology; Artificial intelligence; Environmental science; Mathematics; Geometry","score_opus":0.005029627252960681,"score_gpt":0.1999907227213427,"score_spread":0.194961095468382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396617025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32390007,0.00054742437,0.66913116,0.00016863362,0.000090395384,0.00012311828,0.00013996812,0.001434682,0.0044646],"genre_scores_gemma":[0.88722914,0.00023277223,0.111066274,0.000058224086,0.000024193021,0.00007319698,0.00027962893,0.000030729614,0.0010056949],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995716,0.000037549475,0.000016582106,0.000087729975,0.00023594791,0.000050653784],"domain_scores_gemma":[0.9997124,0.000042060263,0.000038073365,0.000029993083,0.00015276273,0.000024754572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020780679,0.00037341416,0.0005115921,0.0011680735,0.00049554114,0.00056908635,0.0007443041,0.00048820558,0.00043477348],"category_scores_gemma":[0.00068371836,0.0002921361,0.0003887022,0.00048181388,0.0002345854,0.00085900375,0.000916294,0.00030516385,0.00027455387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030140395,0.00016812878,0.019357705,0.00025319375,0.000060830396,0.0008046465,0.0005786577,0.046418726,0.24473459,0.003390704,0.003070438,0.680861],"study_design_scores_gemma":[0.000025125857,0.00013678193,0.009514131,0.00002701574,0.00002724238,0.0005967061,0.00031469506,0.924235,0.058923353,0.0021875852,0.003964278,0.000048177208],"about_ca_topic_score_codex":0.0016360413,"about_ca_topic_score_gemma":0.0015359663,"teacher_disagreement_score":0.0016360413,"about_ca_system_score_codex":0.0002089014,"about_ca_system_score_gemma":0.00049480645,"threshold_uncertainty_score":0.003252983},"labels":[],"label_agreement":null},{"id":"W4396712974","doi":"10.1109/tits.2024.3394481","title":"RdmkNet &amp; Toronto-RDMK: Large-Scale Datasets for Road Marking Classification and Segmentation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; Distinguished International Students Scholarship; National Natural Science Foundation of China","keywords":"Segmentation; Scale (ratio); Computer science; Artificial intelligence; Transport engineering; Pattern recognition (psychology); Data mining; Geography; Cartography; Engineering","score_opus":0.03235730973529522,"score_gpt":0.2982184740259474,"score_spread":0.2658611642906522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396712974","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39766926,0.0028383813,0.15604877,0.0020394241,0.0011475915,0.0015618864,0.31610024,0.09098835,0.031606082],"genre_scores_gemma":[0.35492063,0.0005213573,0.124845736,0.00029195557,0.000070359376,0.00068829046,0.50878066,0.0015399855,0.008341053],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989349,0.00013239843,0.00006056003,0.0003732392,0.00034236006,0.00015647315],"domain_scores_gemma":[0.9990283,0.00015526376,0.00008099764,0.0003823094,0.00026564486,0.000087416774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010514326,0.0027457308,0.00081019773,0.0020806845,0.0010082312,0.0013083545,0.004480483,0.0019133323,0.0048762113],"category_scores_gemma":[0.0031472503,0.0006948744,0.0011486784,0.0031428614,0.00087594334,0.0017527597,0.0018561691,0.0016817077,0.0037196442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00119856,0.0011474694,0.014102119,0.0014644242,0.0005682468,0.0006865219,0.0002900477,0.26545858,0.017015705,0.007767107,0.4466764,0.24362475],"study_design_scores_gemma":[0.00028359715,0.00027954436,0.016437093,0.00008731662,0.0000930908,0.00037258698,0.00026485336,0.8885186,0.024935449,0.005661197,0.062924765,0.00014189251],"about_ca_topic_score_codex":0.089529626,"about_ca_topic_score_gemma":0.14066428,"teacher_disagreement_score":0.089529626,"about_ca_system_score_codex":0.0022946596,"about_ca_system_score_gemma":0.0023515485,"threshold_uncertainty_score":0.17801702},"labels":[],"label_agreement":null},{"id":"W4396950094","doi":"10.1007/s40747-024-01440-0","title":"Solving puzzles using knowledge-based automation: biomimicry of human solvers","year":2024,"lang":"en","type":"article","venue":"Complex & Intelligent Systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science and Technology Council","keywords":"Nucleation; Computer science; Artificial intelligence; Identification (biology); Exponent; Computational intelligence; Folding (DSP implementation); Theoretical computer science; Cognitive science; Psychology; Physics; Engineering","score_opus":0.08349649545813864,"score_gpt":0.3296463415866737,"score_spread":0.24614984612853508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396950094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66685724,0.00041401203,0.29894638,0.0014794873,0.000035313715,0.00014914508,0.00014460075,0.0007260226,0.031247813],"genre_scores_gemma":[0.94182336,0.00009513514,0.05649755,0.000073631076,0.000010642897,0.00004842014,0.0000938802,0.000036483518,0.0013209366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986784,0.0006892129,0.00005406931,0.00030014323,0.00021011707,0.00006803889],"domain_scores_gemma":[0.993386,0.003851652,0.00082358933,0.0012688566,0.00042469244,0.00024525085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016163344,0.00029460358,0.00029462547,0.0010281805,0.0006610986,0.0021103474,0.0008878337,0.0006709858,0.0037159245],"category_scores_gemma":[0.016233273,0.0002673212,0.0003785433,0.00059404067,0.0025562248,0.002304042,0.0011578138,0.00060149067,0.00047327133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056461967,0.0005930864,0.076177396,0.00055507995,0.0002227791,0.0007065255,0.008803238,0.14383562,0.0418804,0.32838708,0.005754504,0.39251968],"study_design_scores_gemma":[0.00008349217,0.00024244754,0.024761407,0.000079051584,0.000043456967,0.00077064,0.0014739804,0.6915194,0.015853565,0.25435075,0.010741336,0.0000804876],"about_ca_topic_score_codex":0.0017285848,"about_ca_topic_score_gemma":0.0012309449,"teacher_disagreement_score":0.0037159245,"about_ca_system_score_codex":0.00056176865,"about_ca_system_score_gemma":0.00075869716,"threshold_uncertainty_score":0.0124310255},"labels":[],"label_agreement":null},{"id":"W4398395157","doi":"10.7910/dvn/dnw5rw/lbcmlh","title":"map_element.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"XML; Element (criminal law); Computer science; Information retrieval; World Wide Web; Political science","score_opus":0.015392117059372979,"score_gpt":0.24093109687492528,"score_spread":0.2255389798155523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398395157","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008354233,0.000054594944,0.00015009823,0.000063701715,0.000031833468,0.00001395705,0.9958817,0.0025827517,0.0011379151],"genre_scores_gemma":[0.0002756732,0.000058481502,0.00036955334,0.000047757076,0.000007907181,0.000053346113,0.99813205,0.0004388776,0.0006163221],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983784,0.00021605933,0.00021234341,0.00056223484,0.00035246476,0.00027851787],"domain_scores_gemma":[0.9976162,0.0005434626,0.00016575644,0.00082845154,0.00057565136,0.0002705968],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00115428,0.004984788,0.0021715858,0.006268681,0.0012741915,0.0043519833,0.005052507,0.0035631133,0.16747624],"category_scores_gemma":[0.00643238,0.0014893932,0.0019183507,0.008953364,0.00070317555,0.0037084683,0.0042206133,0.0025733612,0.2864193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005978658,0.000019121973,0.00023627703,0.0005935949,0.000021636626,0.000015375448,0.000025350528,0.00015177569,0.000172659,0.0005251427,0.9958604,0.0023188894],"study_design_scores_gemma":[0.00015666,0.0000191439,0.0010459379,0.00019746517,0.000019183319,0.000059012593,0.00007683397,0.00042847844,0.0007341732,0.0017077652,0.9955239,0.000031523607],"about_ca_topic_score_codex":0.014167383,"about_ca_topic_score_gemma":0.01793441,"teacher_disagreement_score":0.83252376,"about_ca_system_score_codex":0.0017586129,"about_ca_system_score_gemma":0.002476579,"threshold_uncertainty_score":0.5602638},"labels":[],"label_agreement":null},{"id":"W4398755020","doi":"10.7910/dvn/dnw5rw/wxa6fm","title":"map_vpd_element.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"XML; Element (criminal law); Computer science; Information retrieval; Database; Physics; World Wide Web; Political science","score_opus":0.015357880244280735,"score_gpt":0.24062050066610638,"score_spread":0.22526262042182565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398755020","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010257256,0.00007184276,0.00017943615,0.00005917689,0.0000293451,0.000015846792,0.9959468,0.0025370556,0.0010579875],"genre_scores_gemma":[0.00030946676,0.000069498165,0.0004986178,0.000039964896,0.0000067985266,0.000065730936,0.9980422,0.00039899128,0.00056871603],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987306,0.00015709538,0.00015992972,0.00039663588,0.00030744614,0.00024830355],"domain_scores_gemma":[0.99816835,0.0004104686,0.00013306997,0.0006354738,0.00045667033,0.00019600092],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010001456,0.004475645,0.0020518105,0.0054077385,0.0011823087,0.0038875649,0.0049046353,0.0032815058,0.13175698],"category_scores_gemma":[0.0053625405,0.0013352412,0.0018246588,0.007452636,0.0007325396,0.002670639,0.003808736,0.0022641325,0.2129215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059343365,0.000018469756,0.0002553187,0.0006770965,0.000022283368,0.000017857372,0.000027599492,0.00018034464,0.00020691805,0.0005282217,0.9955771,0.002429456],"study_design_scores_gemma":[0.00016267077,0.000016964379,0.001128892,0.00022335962,0.000021340895,0.00006835896,0.000077867546,0.00048057977,0.0009580983,0.0016392239,0.9951893,0.000033359975],"about_ca_topic_score_codex":0.015355223,"about_ca_topic_score_gemma":0.02132315,"teacher_disagreement_score":0.86824304,"about_ca_system_score_codex":0.0015930489,"about_ca_system_score_gemma":0.0022585778,"threshold_uncertainty_score":0.44077098},"labels":[],"label_agreement":null},{"id":"W4398999541","doi":"10.7910/dvn/rqtsd2","title":"GLOCR: GeezLab OCR Dataset","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Information retrieval; Artificial intelligence; Natural language processing","score_opus":0.012660444638651316,"score_gpt":0.23988733556410471,"score_spread":0.2272268909254534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398999541","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025139248,0.001265223,0.0009421296,0.0001897486,0.00018707139,0.00020122918,0.9839168,0.007121306,0.0036625143],"genre_scores_gemma":[0.0011477491,0.00011575583,0.0012999328,0.00005734101,0.00001548505,0.00013240753,0.995946,0.00014792087,0.0011374416],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973431,0.00031448057,0.00023150028,0.0007549243,0.0010043321,0.0003517363],"domain_scores_gemma":[0.99830544,0.00022343273,0.00012983837,0.000554846,0.0006474112,0.00013903785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011431109,0.00776162,0.0029642845,0.006900919,0.0021099488,0.0027311603,0.0068809646,0.004250093,0.032866787],"category_scores_gemma":[0.0037361977,0.0009553255,0.0023499136,0.0061131315,0.000981021,0.0019702099,0.003149461,0.0028964502,0.09786719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016490639,0.00016611817,0.0008178611,0.00097381725,0.00008642756,0.00013172421,0.000030599575,0.0010642498,0.0011555022,0.00034700093,0.97621775,0.018843984],"study_design_scores_gemma":[0.0006370914,0.00018241846,0.012906856,0.0006505621,0.00016539605,0.0010926535,0.0002942854,0.012095494,0.0073354556,0.0024129455,0.9620172,0.00020970161],"about_ca_topic_score_codex":0.04249488,"about_ca_topic_score_gemma":0.08544092,"teacher_disagreement_score":0.04249488,"about_ca_system_score_codex":0.0023638096,"about_ca_system_score_gemma":0.0026600598,"threshold_uncertainty_score":0.109950304},"labels":[],"label_agreement":null},{"id":"W4399426353","doi":"10.1109/icict60155.2024.10544919","title":"Enhancing Compatibility Accuracy in Jigsaw Puzzle Assembly through Multi-Color Space","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Jigsaw; Compatibility (geochemistry); Computer science; Color space; Artificial intelligence; Mathematics education; Engineering; Mathematics","score_opus":0.02890317236622728,"score_gpt":0.3121339303669092,"score_spread":0.28323075800068187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399426353","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26064453,0.0014190724,0.7283644,0.00021029558,0.000108970555,0.00016216928,0.00027324227,0.002345517,0.006471775],"genre_scores_gemma":[0.6447636,0.00041576428,0.3517171,0.00008731548,0.000043707085,0.000085993925,0.00065287197,0.00022586675,0.0020076854],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979247,0.00043760444,0.00013643237,0.000414841,0.00094276783,0.0001436725],"domain_scores_gemma":[0.99713093,0.0009535899,0.00043165428,0.0005216546,0.0008272577,0.00013497483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001609089,0.0010422618,0.0012475537,0.0025415076,0.0009993355,0.001958956,0.0016317524,0.0010761305,0.0019046629],"category_scores_gemma":[0.008216794,0.00035434868,0.00071296596,0.0020172622,0.0007177257,0.0029849326,0.0020442419,0.00083874,0.0008463411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009813193,0.00031826465,0.02206518,0.00045223854,0.00019683313,0.00036599458,0.00070809433,0.087119736,0.050531123,0.011982477,0.004205736,0.82107306],"study_design_scores_gemma":[0.000053513802,0.0005111158,0.014122419,0.00006565991,0.000119760516,0.0010080477,0.00086246856,0.8982919,0.05962918,0.016019883,0.009215563,0.0001004098],"about_ca_topic_score_codex":0.002802471,"about_ca_topic_score_gemma":0.0040120287,"teacher_disagreement_score":0.002802471,"about_ca_system_score_codex":0.00058107503,"about_ca_system_score_gemma":0.00078355224,"threshold_uncertainty_score":0.008509755},"labels":[],"label_agreement":null},{"id":"W4400041564","doi":"10.18280/ts.410336","title":"Digital Reconstruction of Historical Cultural Landscapes Based on Image Recognition Technology","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence; Computer graphics (images)","score_opus":0.011608686483216408,"score_gpt":0.21906324514457343,"score_spread":0.207454558661357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400041564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024120875,0.00058493624,0.97001857,0.00010915325,0.00006202318,0.000039107344,0.000065904496,0.0012846178,0.0037147957],"genre_scores_gemma":[0.29921716,0.0017598978,0.692824,0.00015636241,0.00008613366,0.000063778825,0.0004092843,0.00016522095,0.0053181276],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997228,0.00002489883,0.000015535146,0.000059225447,0.00014651575,0.000031176445],"domain_scores_gemma":[0.9998385,0.000027292355,0.000022917025,0.00004316192,0.000056577777,0.0000115432795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023691992,0.00046168178,0.00037677202,0.0011233173,0.00021109307,0.0008925186,0.00068084145,0.00045695427,0.0014639511],"category_scores_gemma":[0.0004882149,0.0002471645,0.0006865312,0.0008061996,0.000371622,0.0010788727,0.00054993766,0.00048386128,0.0007015286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014742887,0.00005709456,0.0023051808,0.0002920668,0.000059001173,0.00052745815,0.00027055308,0.028801221,0.18572362,0.009218257,0.0038844394,0.76871365],"study_design_scores_gemma":[0.000031045256,0.00018161711,0.0067237215,0.000068236965,0.00013241927,0.0025635308,0.00024384775,0.76522726,0.188012,0.0047728624,0.031935096,0.00010836303],"about_ca_topic_score_codex":0.0013392888,"about_ca_topic_score_gemma":0.001172966,"teacher_disagreement_score":0.0014639511,"about_ca_system_score_codex":0.00029363082,"about_ca_system_score_gemma":0.00036604895,"threshold_uncertainty_score":0.0048974156},"labels":[],"label_agreement":null},{"id":"W4401599657","doi":"10.1139/cjes-2024-0057","title":"Classifying intrusive and strongly metamorphosed rock units: CLASS—a cooperative lithodemic and stratigraphic system","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Geoscience BC; Ministère des Ressources naturelles et des Forêts (Québec); Natural Resources Canada; Alberta Energy; Government of Northwest Territories; Government of Manitoba; Centre de Géomatique du Québec; Manitoba Hydro; Geological Survey of Canada; Government of Saskatchewan","funders":"","keywords":"Geology; Geochemistry; Class (philosophy)","score_opus":0.025211706466728566,"score_gpt":0.23538139016377568,"score_spread":0.2101696836970471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401599657","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17982358,0.023018701,0.35616857,0.0090887565,0.0015511189,0.002590587,0.027983544,0.007502334,0.3922728],"genre_scores_gemma":[0.45775697,0.01326979,0.4251009,0.0011763773,0.00026986533,0.00090997416,0.030122153,0.0007651892,0.07062888],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99832386,0.00013703264,0.00020859978,0.00016621733,0.000918044,0.00024618543],"domain_scores_gemma":[0.9957598,0.0002769195,0.00046173218,0.00036146646,0.002794927,0.00034513744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116685,0.0006095788,0.0004896195,0.012300953,0.002341089,0.003886073,0.002579239,0.00046262296,0.00508347],"category_scores_gemma":[0.0045683985,0.00020731262,0.0005175642,0.010873714,0.003154822,0.0025423586,0.002180133,0.00063299236,0.002283469],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108601846,0.000045649304,0.084909596,0.0008287869,0.00005740461,0.0002021799,0.004365033,0.0021171698,0.0027499401,0.08903751,0.09352327,0.72205484],"study_design_scores_gemma":[0.000020715444,0.000073891475,0.099316284,0.00085816183,0.00013089404,0.0006167729,0.009637206,0.0053500603,0.0035270902,0.017351983,0.8629914,0.0001256325],"about_ca_topic_score_codex":0.69793683,"about_ca_topic_score_gemma":0.7429165,"teacher_disagreement_score":0.69793683,"about_ca_system_score_codex":0.009712457,"about_ca_system_score_gemma":0.02571381,"threshold_uncertainty_score":0.60768414},"labels":[],"label_agreement":null},{"id":"W4401792540","doi":"10.1002/esp.5961","title":"Stable rivers: A case study in the application of text‐to‐image generative models for Earth sciences","year":2024,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generative grammar; Image (mathematics); Geology; Earth (classical element); Earth science; Computer science; Hydrology (agriculture); Artificial intelligence; Mathematics; Geotechnical engineering","score_opus":0.025000249176611884,"score_gpt":0.28553912232245043,"score_spread":0.26053887314583857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401792540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7386988,0.0003792333,0.23758197,0.0028082114,0.000095571,0.00044955616,0.001415891,0.0024471323,0.016123632],"genre_scores_gemma":[0.9001674,0.00014047258,0.09430973,0.00030131603,0.000032356704,0.00019238339,0.0008264552,0.00047258136,0.0035571402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982516,0.0012102065,0.00007160164,0.00021110079,0.00020545216,0.000050021],"domain_scores_gemma":[0.9774139,0.020174263,0.00029844037,0.0013119535,0.00064001826,0.00016140466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053735212,0.00036690367,0.0002410946,0.0006561142,0.0005769633,0.0014546065,0.0012653533,0.0013830311,0.0031877323],"category_scores_gemma":[0.018498423,0.00029095644,0.0007789521,0.0010385242,0.0011034906,0.0011770283,0.0012396837,0.00113965,0.00059139234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058019615,0.0006208352,0.047526143,0.00074050325,0.00012990338,0.005350406,0.008870815,0.6470752,0.011605743,0.055863637,0.012489201,0.20914753],"study_design_scores_gemma":[0.00007849471,0.00018834231,0.005995953,0.00007486354,0.00003518149,0.0009037004,0.001198983,0.91998607,0.015847607,0.033616435,0.022005199,0.00006929837],"about_ca_topic_score_codex":0.0077716103,"about_ca_topic_score_gemma":0.008947776,"teacher_disagreement_score":0.0077716103,"about_ca_system_score_codex":0.0013109148,"about_ca_system_score_gemma":0.00050911645,"threshold_uncertainty_score":0.028418243},"labels":[],"label_agreement":null},{"id":"W4402259081","doi":"10.1109/igarss53475.2024.10641704","title":"Ressub-Net: Residual Subtraction Network For DTM Extraction From DSM","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Residual; Computer science; Extraction (chemistry); Subtraction; Net (polyhedron); Background subtraction; Artificial intelligence; Mathematics; Algorithm; Pixel; Chromatography; Arithmetic; Geometry; Chemistry","score_opus":0.01695098802208584,"score_gpt":0.2814002749415372,"score_spread":0.26444928691945135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402259081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03647153,0.0007265911,0.94650745,0.00026754852,0.00021130462,0.00010806092,0.0015355845,0.010072391,0.004099616],"genre_scores_gemma":[0.42962214,0.0006667469,0.5407694,0.00041312212,0.00010948161,0.00020436854,0.010297801,0.00064701523,0.017269948],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998435,0.000017813554,0.000008088284,0.00005267437,0.00005292069,0.000025013416],"domain_scores_gemma":[0.9998697,0.000027647526,0.000017169637,0.000027691964,0.00004670678,0.000011073263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040122814,0.0013091661,0.0005464934,0.0007608286,0.00025631537,0.00054145785,0.0015160288,0.0006168616,0.0034745997],"category_scores_gemma":[0.0007343538,0.00037792136,0.0006405657,0.00067522156,0.0002793968,0.0009311368,0.0009354799,0.000831829,0.0013244074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032759854,0.00017223714,0.0016502432,0.00018294761,0.00016859983,0.00015690015,0.0000608822,0.24878466,0.016941613,0.0041911583,0.017251246,0.7101119],"study_design_scores_gemma":[0.000010350637,0.000039746217,0.00041178748,0.000011093224,0.000018399782,0.00004171108,0.000011937576,0.9884117,0.006655938,0.0014107326,0.0029659956,0.000010633368],"about_ca_topic_score_codex":0.00894322,"about_ca_topic_score_gemma":0.015769687,"teacher_disagreement_score":0.00894322,"about_ca_system_score_codex":0.0006016719,"about_ca_system_score_gemma":0.00071719167,"threshold_uncertainty_score":0.01778233},"labels":[],"label_agreement":null},{"id":"W4402306695","doi":"10.18280/ts.410439","title":"Application of Deep Learning-Based Image Registration Techniques in Autonomous Robot Navigation","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Artificial intelligence; Computer vision; Computer science; Image registration; Image (mathematics); Robot; Deep learning","score_opus":0.0069532301538191895,"score_gpt":0.24478271102736893,"score_spread":0.23782948087354974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402306695","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012985852,0.00028075572,0.98504084,0.00015358564,0.000024455518,0.000013899376,0.0000242344,0.00058185065,0.00089456834],"genre_scores_gemma":[0.55643356,0.00072459975,0.4380009,0.00018992982,0.00006325833,0.000051376457,0.00017776569,0.00020712306,0.0041513853],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968076,0.00007791729,0.000014867841,0.00008954475,0.000104680636,0.000032279855],"domain_scores_gemma":[0.9995703,0.0001284469,0.000085335654,0.00011269293,0.000081338825,0.000021822781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070433714,0.00050511555,0.00050301064,0.0006815269,0.00026924416,0.0005568651,0.0008555134,0.0007653995,0.0010984867],"category_scores_gemma":[0.0017685404,0.00038848736,0.0005040632,0.0009971543,0.00064481754,0.0012822938,0.001100548,0.001011724,0.00047804796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017736897,0.00011116735,0.00142228,0.000102815146,0.00009787617,0.00015477349,0.00015632442,0.41686404,0.054109994,0.01894215,0.0020557756,0.5058055],"study_design_scores_gemma":[0.0000044176686,0.000038491726,0.00035353316,0.0000073320175,0.000009407173,0.00006388897,0.000010837042,0.9805643,0.012833434,0.0047031026,0.0014018834,0.000009432939],"about_ca_topic_score_codex":0.0026167873,"about_ca_topic_score_gemma":0.0031324911,"teacher_disagreement_score":0.0026167873,"about_ca_system_score_codex":0.00059390825,"about_ca_system_score_gemma":0.00077664334,"threshold_uncertainty_score":0.0052030683},"labels":[],"label_agreement":null},{"id":"W4402650689","doi":"10.1186/s40494-024-01441-9","title":"Automatic defect detection in infrared thermal images of ancient polyptychs based on numerical simulation and a new efficient channel attention mechanism aided Faster R-CNN model","year":2024,"lang":"en","type":"article","venue":"Heritage Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Key Research and Development Program of China; Ministero dell’Istruzione, dell’Università e della Ricerca; Ministry of Science and Technology of the People's Republic of China","keywords":"Mechanism (biology); Infrared; Channel (broadcasting); Thermal; Computer science; Artificial intelligence; Computer vision; Simulation; Optics; Telecommunications; Physics; Thermodynamics","score_opus":0.015924902358386436,"score_gpt":0.25595843777112215,"score_spread":0.2400335354127357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402650689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23143646,0.0007431004,0.75913584,0.00027196427,0.000113176604,0.00008003052,0.00021535206,0.0031489106,0.004855161],"genre_scores_gemma":[0.92662877,0.00033948722,0.0686384,0.00011642783,0.000025258798,0.00007253927,0.00027384466,0.00008732957,0.003817926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998926,0.000008940639,0.0000044195854,0.00003949297,0.000031178617,0.000023327222],"domain_scores_gemma":[0.9998578,0.000033593395,0.000022428361,0.000022598106,0.000052168547,0.000011340157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023757298,0.0007191594,0.0004093873,0.0005327439,0.00013433993,0.0004606959,0.0011587092,0.0005681924,0.00127081],"category_scores_gemma":[0.0006096968,0.00026479294,0.00068380893,0.0002724311,0.00028630107,0.0005699587,0.00039925362,0.0004794709,0.00035184456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019350412,0.000088496294,0.0037454935,0.00011971024,0.000092624796,0.0002431951,0.000071565606,0.7541253,0.061068326,0.0023840123,0.0015236109,0.1763441],"study_design_scores_gemma":[0.0000016770726,0.000015279353,0.000337796,0.000002829441,0.0000076179854,0.000017867445,0.000002354106,0.99656445,0.0027024287,0.0001869501,0.00015786798,0.0000028221702],"about_ca_topic_score_codex":0.009535123,"about_ca_topic_score_gemma":0.0075316564,"teacher_disagreement_score":0.009535123,"about_ca_system_score_codex":0.0006619037,"about_ca_system_score_gemma":0.0005932367,"threshold_uncertainty_score":0.018959284},"labels":[],"label_agreement":null},{"id":"W4402917129","doi":"10.1109/icip51287.2024.10648203","title":"Rsud20K: a Dataset for Road Scene Understanding in Autonomous Driving","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial intelligence; Road traffic; Computer vision; Data science; Transport engineering; Engineering","score_opus":0.04396745961224191,"score_gpt":0.29457773657738,"score_spread":0.2506102769651381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402917129","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024607029,0.0020861193,0.008051624,0.00042820102,0.00046904007,0.0005010531,0.92019683,0.033660907,0.009999268],"genre_scores_gemma":[0.012782343,0.00019113996,0.009198785,0.000093316274,0.000023529828,0.000188161,0.97553194,0.00051579357,0.0014750938],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808866,0.00017029428,0.0001463113,0.00071204535,0.00059114123,0.0002914958],"domain_scores_gemma":[0.9985514,0.00022604414,0.00009832726,0.00050701766,0.0004689791,0.0001481703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069984887,0.0044518523,0.0020216568,0.003922395,0.0014938839,0.0019495571,0.004882884,0.0038009176,0.013568645],"category_scores_gemma":[0.0036143798,0.0008667178,0.0023994448,0.0042896373,0.00070262555,0.0023155867,0.0030288757,0.0024162498,0.02398238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061746524,0.00049192726,0.0052388734,0.002458214,0.00028815673,0.00049388106,0.000253207,0.006134345,0.0059010834,0.00092722394,0.89183843,0.08535716],"study_design_scores_gemma":[0.00046771596,0.0003933509,0.045726653,0.00092852645,0.00030465148,0.0015046834,0.0012013114,0.057370644,0.021234004,0.0044594947,0.86603886,0.00037012153],"about_ca_topic_score_codex":0.060640354,"about_ca_topic_score_gemma":0.11376506,"teacher_disagreement_score":0.060640354,"about_ca_system_score_codex":0.0019328411,"about_ca_system_score_gemma":0.0019218624,"threshold_uncertainty_score":0.12057477},"labels":[],"label_agreement":null},{"id":"W4403269918","doi":"10.3397/in_2024_3068","title":"The Sherbrooke-Lyon Research Training Program in Acoustics - Projet Samuel de Champlain 2022-2024","year":2024,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Training (meteorology); Physics; Meteorology","score_opus":0.05146449379387013,"score_gpt":0.3414309418447259,"score_spread":0.28996644805085575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403269918","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037479125,0.009052698,0.04893107,0.0657197,0.015539828,0.002302555,0.011999116,0.01324055,0.7957354],"genre_scores_gemma":[0.029559046,0.0014914238,0.018603714,0.0019500908,0.0013594528,0.0005269349,0.00334324,0.0016836665,0.9414825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966923,0.0005881849,0.00006687582,0.000541351,0.001283837,0.0008275071],"domain_scores_gemma":[0.9900535,0.00047432113,0.00021842505,0.00038837045,0.002354298,0.0065111183],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0058761253,0.0016031098,0.00079046533,0.0019295005,0.0017383073,0.003598407,0.0019092516,0.00279314,0.32718018],"category_scores_gemma":[0.0028515484,0.0005373171,0.0005943035,0.00082080177,0.0011624083,0.001663423,0.0054385606,0.0023742714,0.16334689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051907235,0.0006184495,0.0026682492,0.00021281822,0.000011981903,0.00027652035,0.0008836309,0.00095855317,0.009554256,0.009772964,0.7669674,0.20755605],"study_design_scores_gemma":[0.00003542421,0.00021818344,0.0019600699,0.0000679793,0.0000017449647,0.0001301205,0.00030084286,0.00039400344,0.0014820897,0.00042366047,0.994974,0.000011892337],"about_ca_topic_score_codex":0.014069011,"about_ca_topic_score_gemma":0.026430035,"teacher_disagreement_score":0.9961567,"about_ca_system_score_codex":0.0038433177,"about_ca_system_score_gemma":0.012797969,"threshold_uncertainty_score":0.9596958},"labels":[],"label_agreement":null},{"id":"W4403340355","doi":"10.1016/j.ifacol.2024.09.296","title":"Approaches to Enhancing Semi-Supervised Learning using Process Data Augmentation via Self-Labeling and Generative Adversarial Networks","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Generative grammar; Adversarial system; Computer science; Process (computing); Artificial intelligence; Generative adversarial network; Machine learning; Semi-supervised learning; Deep learning","score_opus":0.07893363541695243,"score_gpt":0.28915038922730274,"score_spread":0.21021675381035032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403340355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009113599,0.00026248116,0.9889338,0.00019215952,0.000026618105,0.000041581832,0.000036209563,0.00056255574,0.00083107926],"genre_scores_gemma":[0.51695967,0.00060223683,0.47723317,0.0004273475,0.00015795037,0.0002860982,0.0004746705,0.00028638757,0.0035725534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857926,0.00063035503,0.00005651509,0.00031082056,0.00032551357,0.00009760891],"domain_scores_gemma":[0.9950287,0.00291627,0.00045309146,0.00093266217,0.00054433884,0.00012495198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035000592,0.0013743261,0.0009617167,0.0008187125,0.00035512785,0.0010940378,0.0025001953,0.0015809572,0.0014572594],"category_scores_gemma":[0.006400312,0.0006537025,0.001073469,0.00070733187,0.0016768601,0.0020635298,0.0024100833,0.0023668602,0.0006113834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013225181,0.00017077694,0.0010056214,0.00012423458,0.000102186335,0.0000701483,0.00016269297,0.8550718,0.010079046,0.012270971,0.0013376999,0.11947255],"study_design_scores_gemma":[0.000004121133,0.000027440687,0.00008606885,0.000006357535,0.0000050487347,0.000015375063,0.0000052112296,0.99324435,0.0020559616,0.004092622,0.00045161284,0.0000058598416],"about_ca_topic_score_codex":0.001858112,"about_ca_topic_score_gemma":0.0024039482,"teacher_disagreement_score":0.0035000592,"about_ca_system_score_codex":0.0008600709,"about_ca_system_score_gemma":0.00092760724,"threshold_uncertainty_score":0.018510282},"labels":[],"label_agreement":null},{"id":"W4403504805","doi":"10.1130/abs/2024ne-397219","title":"THE PROVENANCE AND TECTONIC HISTORY OF DASHWOODS","year":2024,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Provenance; Tectonics; Geology; Computer science; Earth science; Paleontology","score_opus":0.013096503955444138,"score_gpt":0.230697443154004,"score_spread":0.21760093919855986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403504805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7072402,0.0021638896,0.027951516,0.0024734037,0.00057621114,0.000119347395,0.0062596574,0.000578566,0.25263724],"genre_scores_gemma":[0.9514796,0.0008813953,0.008418393,0.00010539282,0.000082256876,0.000022947803,0.002106253,0.00046361456,0.036440108],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99905354,0.00016640515,0.00007044021,0.00025605023,0.00035653356,0.00009701042],"domain_scores_gemma":[0.99045396,0.001933204,0.0010435643,0.0022748,0.0038945796,0.00039994446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021107772,0.00014848282,0.00014164252,0.0037061467,0.0025012933,0.0031950988,0.00062577147,0.000357948,0.01692079],"category_scores_gemma":[0.011690932,0.000408451,0.00015418069,0.0059987176,0.0024435993,0.0030152632,0.0011271649,0.0010617544,0.0016342953],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086175505,0.00013145221,0.13364768,0.00038418034,0.000068292175,0.0012083008,0.022999087,0.0032019657,0.011611874,0.3830967,0.017107828,0.42568088],"study_design_scores_gemma":[0.00003944542,0.0000922553,0.16090171,0.00046783217,0.00006544114,0.0005452326,0.007586204,0.0031439217,0.008120817,0.046642248,0.7723268,0.00006810762],"about_ca_topic_score_codex":0.026219508,"about_ca_topic_score_gemma":0.06568215,"teacher_disagreement_score":0.026219508,"about_ca_system_score_codex":0.0021890034,"about_ca_system_score_gemma":0.0020347163,"threshold_uncertainty_score":0.056605637},"labels":[],"label_agreement":null},{"id":"W4403558230","doi":"10.1007/s11222-024-10501-w","title":"Functional autoencoder for smoothing and representation learning","year":2024,"lang":"en","type":"article","venue":"Statistics and Computing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autoencoder; Smoothing; Representation (politics); Artificial intelligence; Computer science; Feature learning; Pattern recognition (psychology); Functional data analysis; Machine learning; Mathematics; Deep learning; Computer vision","score_opus":0.017452082036117013,"score_gpt":0.2771719733766146,"score_spread":0.25971989134049756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403558230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017276634,0.00024385612,0.99740416,0.00008341016,0.00003254275,0.000006169004,0.000032406362,0.00024112157,0.00022865602],"genre_scores_gemma":[0.19557735,0.0014566146,0.7863875,0.000239735,0.00018753293,0.0001736841,0.0007188166,0.0005172674,0.014741498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966526,0.00010012049,0.00002507413,0.00008816277,0.00009238568,0.000029031937],"domain_scores_gemma":[0.99866974,0.00072774896,0.0000653167,0.00022218407,0.00028201874,0.000032991407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012769185,0.000647926,0.0010193678,0.00051634683,0.00035007813,0.0006517134,0.0010081937,0.0014436082,0.002322199],"category_scores_gemma":[0.0036932388,0.0005253011,0.00081812416,0.000804504,0.0007100638,0.0012561729,0.0009306578,0.0019904133,0.0009338431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011531816,0.000088296496,0.00048458707,0.00021994988,0.00012052506,0.00008930435,0.00008211377,0.45423463,0.013575775,0.0989138,0.006716578,0.42535904],"study_design_scores_gemma":[0.0000017539815,0.000008103981,0.00010384081,0.0000057703337,0.000005734128,0.000012864783,0.0000028202642,0.98562175,0.0015012068,0.011669627,0.0010607147,0.000005875452],"about_ca_topic_score_codex":0.0062926356,"about_ca_topic_score_gemma":0.0056603136,"teacher_disagreement_score":0.0062926356,"about_ca_system_score_codex":0.0006481261,"about_ca_system_score_gemma":0.00093992014,"threshold_uncertainty_score":0.012512028},"labels":[],"label_agreement":null},{"id":"W4403842152","doi":"10.1007/978-3-031-73347-5_25","title":"JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Congruence (geometry); Computer science; Consistency (knowledge bases); Distillation; Joint (building); Artificial intelligence; Engineering drawing; Algorithm; Geometry; Mathematics; Engineering; Structural engineering; Chemistry","score_opus":0.018920030591673402,"score_gpt":0.23152700750911037,"score_spread":0.21260697691743696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403842152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011095882,0.00012896808,0.9686109,0.00014632531,0.00020223112,0.0001768692,0.00043133096,0.0152897565,0.0039177216],"genre_scores_gemma":[0.16769585,0.00011056839,0.8121089,0.00025214773,0.00018778385,0.00034139212,0.0025810695,0.0069427816,0.009779558],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99406415,0.0014082766,0.00040321436,0.0012182547,0.0023725235,0.0005335579],"domain_scores_gemma":[0.99252534,0.0029899052,0.00033347658,0.0024825663,0.0013925942,0.00027608793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030734714,0.0027334185,0.0025430105,0.0019092434,0.001465632,0.0034314478,0.005337805,0.0028498445,0.028138164],"category_scores_gemma":[0.014744975,0.0012747766,0.001930079,0.0020026728,0.0025082915,0.0037962892,0.011626372,0.003046469,0.01462552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008604187,0.0002697652,0.0009213998,0.000423741,0.00009093082,0.00043904333,0.00056370895,0.05624763,0.043155044,0.046110846,0.025086662,0.8258308],"study_design_scores_gemma":[0.00021119181,0.0002564784,0.00041745373,0.000061938226,0.00005412497,0.00034246093,0.00021091204,0.8387143,0.08014923,0.063360795,0.01612488,0.000096225376],"about_ca_topic_score_codex":0.0025809065,"about_ca_topic_score_gemma":0.0047463146,"teacher_disagreement_score":0.028138164,"about_ca_system_score_codex":0.0007525861,"about_ca_system_score_gemma":0.0019169927,"threshold_uncertainty_score":0.09413153},"labels":[],"label_agreement":null},{"id":"W4403947146","doi":"10.18280/mmep.111023","title":"Enhancing Document Image Classification with Discrete Wavelet Transform and Swin Transformer","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discrete wavelet transform; Artificial intelligence; Wavelet transform; Pattern recognition (psychology); Wavelet; Computer science; Transformer; Computer vision; Engineering; Electrical engineering","score_opus":0.010011553089177219,"score_gpt":0.2063116909607374,"score_spread":0.19630013787156017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403947146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054053985,0.00037871607,0.9430146,0.00012607957,0.00006480557,0.000031731226,0.00006132322,0.00045531345,0.0018133534],"genre_scores_gemma":[0.43180138,0.0011336134,0.55990314,0.00009767033,0.00009976868,0.000043347398,0.00031640375,0.00016898756,0.0064357356],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997631,0.00003158929,0.000017905999,0.000036516394,0.00012420861,0.000026805239],"domain_scores_gemma":[0.9996425,0.00009397265,0.0000429413,0.000061953055,0.00014029915,0.000018456216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044104268,0.00038922575,0.00055491424,0.0009808139,0.00020077833,0.00082073535,0.00029691122,0.00050009676,0.0013737418],"category_scores_gemma":[0.000953351,0.0001927436,0.0005617659,0.001138912,0.00032069397,0.0011262912,0.00043337446,0.0005701725,0.0010029423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035352292,0.000120357,0.0009190435,0.00019822123,0.000033713626,0.00009658145,0.00006341763,0.011949571,0.36980742,0.006072558,0.0016406645,0.6087449],"study_design_scores_gemma":[0.00003475918,0.00021065457,0.0036911862,0.000018325782,0.0001184235,0.00071603735,0.00007370297,0.68898326,0.29321873,0.004374397,0.008528729,0.000031816824],"about_ca_topic_score_codex":0.00069712626,"about_ca_topic_score_gemma":0.00076358404,"teacher_disagreement_score":0.0013737418,"about_ca_system_score_codex":0.00020565414,"about_ca_system_score_gemma":0.0002996209,"threshold_uncertainty_score":0.0045956373},"labels":[],"label_agreement":null},{"id":"W4404296940","doi":"10.29173/cjen431","title":"Jigsaw puzzle","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Jigsaw; Computer science; Mathematics education; Psychology","score_opus":0.050305494435788876,"score_gpt":0.2539669223352533,"score_spread":0.20366142789946443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404296940","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013742105,0.011214725,0.21232255,0.09131975,0.023080429,0.00018639585,0.00082094077,0.0038031498,0.64351],"genre_scores_gemma":[0.22101873,0.008781172,0.19708626,0.020122245,0.0047468618,0.0003885828,0.0010804391,0.003224497,0.54355127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989599,0.00026216122,0.0000532937,0.00022131314,0.00038751037,0.00011573556],"domain_scores_gemma":[0.99779,0.0007518476,0.000084422165,0.0005929257,0.00053823926,0.00024253751],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013835996,0.0010961273,0.00075534335,0.0017212583,0.003955306,0.0036031047,0.0013197233,0.0025120717,0.04818149],"category_scores_gemma":[0.013438512,0.00048349108,0.0008081167,0.0010115684,0.004679559,0.0073317755,0.0044695744,0.0047313436,0.013333256],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009187596,0.000025515805,0.00035540294,0.00015166099,0.000044336928,0.00033833546,0.0010194426,0.0021875817,0.00059539964,0.6065559,0.2772683,0.1113662],"study_design_scores_gemma":[0.000021012609,0.000022774973,0.00016711678,0.0001721118,0.00001910829,0.00037068507,0.00037839886,0.0030464446,0.0003683922,0.43069732,0.56470525,0.000031492622],"about_ca_topic_score_codex":0.0037340804,"about_ca_topic_score_gemma":0.003862147,"teacher_disagreement_score":0.9518185,"about_ca_system_score_codex":0.0012502451,"about_ca_system_score_gemma":0.0016561443,"threshold_uncertainty_score":0.16118318},"labels":[],"label_agreement":null},{"id":"W4404445402","doi":"10.1609/aiide.v20i1.31888","title":"Hexagram Tangram Puzzle Artifact","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Institute for Advanced Research","keywords":"Artifact (error); Computer science; Psychology; Artificial intelligence","score_opus":0.03090778125392887,"score_gpt":0.2768064713366282,"score_spread":0.24589869008269935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404445402","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04523728,0.0011023025,0.338544,0.0038620834,0.0022352801,0.00116023,0.0032264313,0.01783253,0.5867999],"genre_scores_gemma":[0.26310876,0.0014727343,0.38023856,0.0016073409,0.00047103586,0.0012791598,0.005777296,0.005860194,0.3401849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825865,0.00051258615,0.00013101302,0.00016494434,0.00081892434,0.00011387353],"domain_scores_gemma":[0.9959269,0.00079137343,0.00023224903,0.0021212087,0.0006605057,0.00026783653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016142926,0.0007597155,0.00046156585,0.0018047213,0.0018048597,0.0035449872,0.0015758781,0.001188447,0.047500387],"category_scores_gemma":[0.006835039,0.0003707496,0.000773612,0.001834774,0.0013291808,0.0030168463,0.0046126475,0.0015325623,0.016248556],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065703574,0.00025560596,0.0016350835,0.0014408714,0.000044525426,0.0043322262,0.011581356,0.0023597567,0.01768925,0.4113047,0.15498653,0.39371306],"study_design_scores_gemma":[0.000025599715,0.00008979393,0.00075989735,0.00018933423,0.000015897725,0.001462482,0.00076688005,0.0013523613,0.005487159,0.013846337,0.97596914,0.000035170553],"about_ca_topic_score_codex":0.0008157697,"about_ca_topic_score_gemma":0.0014301178,"teacher_disagreement_score":0.047500387,"about_ca_system_score_codex":0.00068004313,"about_ca_system_score_gemma":0.0011194769,"threshold_uncertainty_score":0.15890467},"labels":[],"label_agreement":null},{"id":"W4404499951","doi":"10.1515/iph-2024-2011","title":"Graphic Collections and Resources","year":2024,"lang":"en","type":"article","venue":"International Public History","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","score_opus":0.012560101029676172,"score_gpt":0.20741580333279958,"score_spread":0.1948557023031234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404499951","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096642994,0.0020600925,0.0017257442,0.004068746,0.002797358,0.0005732549,0.051706884,0.0028062917,0.93329525],"genre_scores_gemma":[0.013610412,0.00427075,0.0074515245,0.002284733,0.0028920362,0.00161414,0.07450303,0.0056436085,0.88772976],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773043,0.00058134546,0.00018769363,0.00025140843,0.0009488308,0.00030039443],"domain_scores_gemma":[0.9920391,0.0016242337,0.00045816062,0.0022556125,0.0023436972,0.0012793114],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002853823,0.00086163473,0.0011641268,0.020972865,0.007994507,0.011844679,0.0024997294,0.0015956387,0.67806405],"category_scores_gemma":[0.014002297,0.0007202938,0.000590308,0.036221404,0.001860049,0.0053067477,0.006603374,0.002514203,0.30189726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021008642,0.000012191159,0.00011289348,0.00024347604,0.0000018179876,0.000041616437,0.0006542584,0.00004386112,0.00008726612,0.0073953983,0.9475929,0.04379332],"study_design_scores_gemma":[0.0000013503179,0.0000014560983,0.00019664144,0.00006889013,8.858262e-7,0.000019307128,0.00020520514,0.000007903787,0.000020925496,0.00035850686,0.999116,0.000002979795],"about_ca_topic_score_codex":0.011541545,"about_ca_topic_score_gemma":0.017847843,"teacher_disagreement_score":0.67806405,"about_ca_system_score_codex":0.0037699095,"about_ca_system_score_gemma":0.005821676,"threshold_uncertainty_score":0.45920253},"labels":[],"label_agreement":null},{"id":"W4404513083","doi":"10.1101/2024.11.18.623787","title":"<i>In silico</i> analysis of the evolution of root phenotypes during maize domestication in Neolithic soils of Tehuacán","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Domestication; In silico; Biology; Phenotype; Biotechnology; Genetics; Gene","score_opus":0.005491539742844242,"score_gpt":0.2092792426194862,"score_spread":0.20378770287664194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404513083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598,0.00003747483,0.002000915,0.000027076752,0.0000027662147,0.0000055427035,0.0011896923,0.000084024025,0.0006725063],"genre_scores_gemma":[0.99215055,0.00005889193,0.0043710712,0.000019576959,0.0000016652114,0.000018002353,0.0028371243,0.000049311748,0.0004938185],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992,0.000011985239,0.0000034774478,0.00003514617,0.00000985343,0.000019466435],"domain_scores_gemma":[0.9999062,0.00003973522,0.00001612974,0.000008257866,0.000017629169,0.0000120371915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025440805,0.0003788695,0.00026601917,0.0003839691,0.0005550832,0.00057757075,0.0006300918,0.0003046336,0.0014080575],"category_scores_gemma":[0.00034338952,0.00019547254,0.00041001456,0.0006016779,0.00025018508,0.00011870622,0.00021427864,0.00028313816,0.00020138323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011729442,0.00023616958,0.25277668,0.00040059944,0.00064808637,0.0007735613,0.0010075589,0.30447024,0.4018789,0.0033650955,0.0014541282,0.031816006],"study_design_scores_gemma":[0.00008751137,0.00015233549,0.42250636,0.000027918215,0.0003502253,0.0002530374,0.0008123819,0.51070845,0.05672349,0.0011278096,0.007178095,0.00007244604],"about_ca_topic_score_codex":0.054263346,"about_ca_topic_score_gemma":0.058223758,"teacher_disagreement_score":0.054263346,"about_ca_system_score_codex":0.0011501039,"about_ca_system_score_gemma":0.00065395545,"threshold_uncertainty_score":0.10789502},"labels":[],"label_agreement":null},{"id":"W4404574929","doi":"","title":"Session Review: ASOR Experimental Archaeology Session, November 2019, San Diego, CA, USA","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Archaeology; History; Computer science; World Wide Web","score_opus":0.15436073640985878,"score_gpt":0.5047877525703873,"score_spread":0.3504270161605285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404574929","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035664556,0.51229054,0.00075410516,0.11369488,0.32233828,0.0009921273,0.0041723596,0.00037886077,0.04502222],"genre_scores_gemma":[0.0037152986,0.5254561,0.001122246,0.14639553,0.13829485,0.0025819577,0.0065815654,0.00026706315,0.1755855],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980716,0.00041346942,0.00023606929,0.00025579202,0.000801338,0.00022177778],"domain_scores_gemma":[0.9890297,0.0016922795,0.00076051365,0.00030892427,0.006909789,0.0012989016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051790224,0.0010469512,0.0014524596,0.0026277944,0.0016242624,0.004037819,0.002360095,0.0047785114,0.12443347],"category_scores_gemma":[0.011002492,0.000571255,0.0012718587,0.0022309981,0.0008056935,0.0030019504,0.0020828398,0.0035440405,0.054038305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007413827,0.000014047084,0.000022777802,0.0020185434,0.0000132788655,0.000017937731,0.000012788308,0.000006174875,0.00011172871,0.00018515301,0.97521544,0.022307955],"study_design_scores_gemma":[0.000041735322,0.000031250707,0.00022929572,0.0020827153,0.000019745019,0.000039126135,0.000028967192,0.000004773649,0.000058620455,0.00012051204,0.99733704,0.00000617325],"about_ca_topic_score_codex":0.004515045,"about_ca_topic_score_gemma":0.014611295,"teacher_disagreement_score":0.12443347,"about_ca_system_score_codex":0.0035434312,"about_ca_system_score_gemma":0.00617117,"threshold_uncertainty_score":0.41627145},"labels":[],"label_agreement":null},{"id":"W4404752287","doi":"10.18653/v1/2024.blackboxnlp-1.17","title":"Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Open Philanthropy Project; Canadian Institute for Advanced Research","keywords":"Computer science; Artificial neural network; Recurrent neural network; Artificial intelligence; Theoretical computer science","score_opus":0.03620442030539013,"score_gpt":0.31772939860461014,"score_spread":0.28152497829922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404752287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054661743,0.00022108911,0.9392418,0.0006059861,0.00009309118,0.00004896217,0.00019823121,0.0012502817,0.0036788867],"genre_scores_gemma":[0.7979132,0.0004657238,0.19469094,0.0003843961,0.0000645126,0.00015090637,0.0004836567,0.00025873544,0.0055879904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958664,0.00011452208,0.000027664119,0.00014345777,0.00008364475,0.000044048313],"domain_scores_gemma":[0.99817634,0.0009313386,0.00027854598,0.0004022268,0.00016015484,0.000051367006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010080645,0.00073719525,0.0005056681,0.00036922286,0.00021312539,0.001021063,0.0014722539,0.00072934414,0.002491207],"category_scores_gemma":[0.006075126,0.00052033673,0.0006101319,0.00037597152,0.001320357,0.0033693209,0.000863099,0.0014900884,0.0008764618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029285208,0.00014862133,0.003313162,0.00035655312,0.00022963755,0.000393546,0.0004806197,0.49102005,0.045307197,0.17256926,0.0034050937,0.28248337],"study_design_scores_gemma":[0.000017535558,0.00013753156,0.0006445861,0.000027056682,0.00002910756,0.00009134688,0.00005241345,0.9140712,0.008555836,0.07429891,0.002053148,0.000021330015],"about_ca_topic_score_codex":0.0016350057,"about_ca_topic_score_gemma":0.0019676331,"teacher_disagreement_score":0.002491207,"about_ca_system_score_codex":0.00051946874,"about_ca_system_score_gemma":0.0004368321,"threshold_uncertainty_score":0.008333921},"labels":[],"label_agreement":null},{"id":"W4404914860","doi":"10.1109/tim.2024.3509545","title":"Development and Testing of a Multisensor Integrated Device for Reservoir Landslides Hydro-Fluctuation Zone","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Landslide; Petroleum engineering; Geotechnical engineering; Geology; Materials science; Engineering","score_opus":0.0750637076825832,"score_gpt":0.2813218610062652,"score_spread":0.20625815332368203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404914860","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44569236,0.0016023408,0.5387373,0.00056318846,0.0007944802,0.0010544482,0.001145125,0.004828974,0.0055817636],"genre_scores_gemma":[0.8000041,0.00043542567,0.19261658,0.00044861095,0.00006564368,0.0004916825,0.0005549076,0.000080952756,0.00530206],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993318,0.00006873567,0.000062411214,0.00016493202,0.00032401513,0.000048064743],"domain_scores_gemma":[0.9995353,0.00007866059,0.000056680765,0.0000640256,0.00022406841,0.000041306703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006960455,0.0005977591,0.0005645464,0.0006787359,0.00020794751,0.0005536822,0.0013048204,0.000962131,0.0017508185],"category_scores_gemma":[0.00075085147,0.0002410415,0.00032715953,0.0004172573,0.00021335065,0.00079817564,0.00054687273,0.00031665992,0.0005086285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004965073,0.00037427244,0.011418105,0.00095517404,0.00012475842,0.000707394,0.0005314178,0.0051701884,0.7905295,0.0019259006,0.0040078415,0.18375885],"study_design_scores_gemma":[0.00021808491,0.0041011465,0.03140693,0.00012330356,0.0002495551,0.0013667457,0.0003720811,0.15270127,0.77901095,0.00061211886,0.02965691,0.00018095467],"about_ca_topic_score_codex":0.00046111245,"about_ca_topic_score_gemma":0.0005523049,"teacher_disagreement_score":0.0017508185,"about_ca_system_score_codex":0.00030123835,"about_ca_system_score_gemma":0.00041922665,"threshold_uncertainty_score":0.00585711},"labels":[],"label_agreement":null},{"id":"W4404914975","doi":"10.1109/ismar-adjunct64951.2024.00050","title":"Function-Adaptive Affordance Extraction from 3D Objects Using LLM for Interaction Authoring with Augmented Artifacts","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Affordance; Computer science; Human–computer interaction; Function (biology); Augmented reality; Extraction (chemistry); Multimedia; Computer vision; Artificial intelligence; Chromatography; Chemistry","score_opus":0.032985173186155674,"score_gpt":0.289957959431307,"score_spread":0.2569727862451513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404914975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007981132,0.00009583232,0.9869464,0.000027458018,0.000009400748,0.00002995857,0.00006743179,0.0045400285,0.0003024165],"genre_scores_gemma":[0.12879509,0.00013388085,0.86881816,0.00005839959,0.000014600189,0.00015042239,0.0004323048,0.00057939294,0.0010176904],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951863,0.000073357805,0.00003462647,0.00016955908,0.0001588323,0.000044986955],"domain_scores_gemma":[0.9996762,0.00009014523,0.000046686433,0.000095786294,0.000057479316,0.000033659377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004574454,0.0013836543,0.0012166614,0.001694534,0.00043753,0.0010400321,0.0012581263,0.0007758792,0.0023637726],"category_scores_gemma":[0.0014435531,0.00064403814,0.001576359,0.0011221482,0.00062919373,0.0010844882,0.001964155,0.00069563475,0.0013651722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028516073,0.00014384226,0.0022440457,0.00033526623,0.00008530812,0.00045285097,0.00057367055,0.05723005,0.18974529,0.0047511877,0.0045141988,0.73963916],"study_design_scores_gemma":[0.000030819316,0.00012930627,0.001466332,0.000023969558,0.000040274706,0.0003728791,0.00014535133,0.9296491,0.05582399,0.005080736,0.007184894,0.00005225611],"about_ca_topic_score_codex":0.0023130786,"about_ca_topic_score_gemma":0.005092993,"teacher_disagreement_score":0.0023637726,"about_ca_system_score_codex":0.0005337142,"about_ca_system_score_gemma":0.00066435896,"threshold_uncertainty_score":0.007907629},"labels":[],"label_agreement":null},{"id":"W4405055456","doi":"10.1109/iccv51701.2025.00902","title":"Amodal Depth Anything: Amodal Depth Estimation in the Wild","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Amodal perception; Psychology; Estimation; Neuroscience; Cognition; Economics","score_opus":0.0187630168757147,"score_gpt":0.27805393457973115,"score_spread":0.25929091770401647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405055456","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036851175,0.00056014163,0.94273293,0.0004417617,0.00013731417,0.00017459328,0.0040457593,0.012316338,0.0027400102],"genre_scores_gemma":[0.4285731,0.0005571744,0.55170906,0.00070916273,0.000114831935,0.0003331911,0.013634548,0.0014365915,0.002932293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993104,0.000094399096,0.000020296604,0.00033668746,0.00015319037,0.00008506828],"domain_scores_gemma":[0.99915254,0.00023210392,0.00007329228,0.00034947187,0.00012239302,0.00007018011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008002788,0.0016924307,0.0009637351,0.0011504726,0.00045080864,0.0014319889,0.0028541365,0.0017220837,0.0031627286],"category_scores_gemma":[0.0034247818,0.00074424944,0.001531256,0.0008603652,0.00095100724,0.002703902,0.002722936,0.002624592,0.0013199432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062210014,0.00040659247,0.0074959053,0.0005123477,0.0002818544,0.00024663654,0.00033125098,0.46299744,0.05119339,0.017264165,0.03532455,0.42332378],"study_design_scores_gemma":[0.000031471773,0.000060742343,0.0011409862,0.000030200023,0.000017280934,0.0001624796,0.000049257727,0.97152036,0.010707166,0.011059097,0.0051877624,0.000033280216],"about_ca_topic_score_codex":0.0068430486,"about_ca_topic_score_gemma":0.013525944,"teacher_disagreement_score":0.0068430486,"about_ca_system_score_codex":0.00092602434,"about_ca_system_score_gemma":0.0011633442,"threshold_uncertainty_score":0.013606429},"labels":[],"label_agreement":null},{"id":"W4405415471","doi":"10.21203/rs.3.rs-5419015/v1","title":"Application of Generative Adversarial Networks in Geoelectrical Field Data Interpretation","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adversarial system; Interpretation (philosophy); Generative grammar; Field (mathematics); Computer science; Artificial intelligence; Data science; Generative adversarial network; Machine learning; Data mining; Deep learning; Mathematics","score_opus":0.045634869795174594,"score_gpt":0.39523650712016273,"score_spread":0.3496016373249881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405415471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009247127,0.00019446861,0.98838717,0.00037806452,0.000045525652,0.00002012729,0.00007830216,0.00051251665,0.0011366184],"genre_scores_gemma":[0.74113935,0.000502623,0.2511787,0.00046614656,0.00019707228,0.0000863066,0.0005036004,0.00036517633,0.0055609676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994499,0.0002658305,0.000020048788,0.00011829119,0.00010370078,0.000042316053],"domain_scores_gemma":[0.99757284,0.001773772,0.00013353072,0.00027054324,0.00019525862,0.000054026048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015325281,0.00080596685,0.0007574286,0.0008473946,0.00035902878,0.001010168,0.001297929,0.0014590271,0.0024483858],"category_scores_gemma":[0.0050549954,0.00065860135,0.0008651472,0.00077422225,0.0010787454,0.0008745564,0.0018018004,0.0016598958,0.0005464892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049063012,0.000019523737,0.00048470864,0.000030944895,0.000041954816,0.000065827735,0.00004506193,0.94557565,0.001271275,0.008042697,0.0009970717,0.043376274],"study_design_scores_gemma":[0.0000014264224,0.0000028466661,0.00004343304,0.0000032093403,0.0000020391076,0.000010618601,0.0000027609417,0.9954817,0.0002793122,0.003991456,0.00017922428,0.0000019796344],"about_ca_topic_score_codex":0.0061768084,"about_ca_topic_score_gemma":0.00587907,"teacher_disagreement_score":0.0061768084,"about_ca_system_score_codex":0.00072015653,"about_ca_system_score_gemma":0.00060262484,"threshold_uncertainty_score":0.012281716},"labels":[],"label_agreement":null},{"id":"W4405886298","doi":"10.1038/d41586-024-04161-z","title":"How AI is unlocking ancient texts — and could rewrite history","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Cuneiform; Reading (process); Ancient history; Art; History; Literature; Classics; Philosophy; Linguistics","score_opus":0.007649862191150809,"score_gpt":0.2366383709806204,"score_spread":0.2289885087894696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405886298","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023463205,0.024666905,0.047917344,0.14632273,0.016658552,0.00006065067,0.0003375789,0.0006744412,0.7398986],"genre_scores_gemma":[0.6232078,0.013666994,0.030688599,0.019040134,0.008220453,0.000086067965,0.0002920023,0.0013696038,0.30342832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810994,0.0008188086,0.000105471074,0.00026465504,0.00054849044,0.00015264445],"domain_scores_gemma":[0.99609923,0.0017020059,0.00015262925,0.0010217465,0.0007785179,0.00024596974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030828612,0.00045513452,0.00029948584,0.0017609533,0.0041152397,0.007904543,0.0008920727,0.002580018,0.014683745],"category_scores_gemma":[0.010522025,0.0002828446,0.00023845713,0.001216771,0.024980167,0.0128916055,0.0025630277,0.004542061,0.0035874627],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032350836,0.000013106618,0.00017747271,0.00011493774,0.000011733737,0.000071265065,0.0073869545,0.00024986427,0.00044283125,0.9400784,0.015992016,0.03542914],"study_design_scores_gemma":[0.000010607712,0.000012307639,0.00020262017,0.00017066447,0.000008088136,0.00013392644,0.0018015442,0.00037359862,0.0006789571,0.44113728,0.55545056,0.000019845693],"about_ca_topic_score_codex":0.0047253966,"about_ca_topic_score_gemma":0.0056836996,"teacher_disagreement_score":0.014683745,"about_ca_system_score_codex":0.0031509628,"about_ca_system_score_gemma":0.002164877,"threshold_uncertainty_score":0.049122036},"labels":[],"label_agreement":null},{"id":"W4406173935","doi":"10.48102/hyg.vi64.543","title":"Incorporating the Sensemaking Loop from Intelligence Analysis into Bespoke Tools for Digital History.","year":2024,"lang":"en","type":"article","venue":"Historia y Grafía","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Bespoke; Sensemaking; Loop (graph theory); Computer science; Process management; Business; Knowledge management; Advertising","score_opus":0.027845152917544472,"score_gpt":0.2511316274539094,"score_spread":0.2232864745363649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406173935","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023622809,0.00032837063,0.9741451,0.0040521226,0.00013307163,0.00020356434,0.00020314408,0.0028725015,0.0156999],"genre_scores_gemma":[0.068581626,0.0004691011,0.9245284,0.0006806251,0.00014720335,0.00040724193,0.0004765906,0.000998047,0.0037111482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9872479,0.008449952,0.00074381946,0.0013351692,0.0019850705,0.00023815199],"domain_scores_gemma":[0.9282849,0.05075954,0.0019997242,0.0155262565,0.0023725196,0.0010569706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02721829,0.0010275181,0.00076047203,0.0059434916,0.0028958693,0.0169611,0.003152921,0.0027108688,0.014875753],"category_scores_gemma":[0.070457935,0.001039562,0.0013935103,0.0035732854,0.014539931,0.030098269,0.015586252,0.0046357117,0.0036482583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009836605,0.00010455464,0.00091254513,0.00046324593,0.000047832003,0.00028431768,0.016055703,0.0052965004,0.0015129189,0.78406763,0.008833046,0.18232329],"study_design_scores_gemma":[0.000022820774,0.000026141026,0.00022073506,0.00036231094,0.00001676848,0.0001246019,0.0019440457,0.014363108,0.001101827,0.8854165,0.09636527,0.000035718145],"about_ca_topic_score_codex":0.0019232295,"about_ca_topic_score_gemma":0.00366681,"teacher_disagreement_score":0.02721829,"about_ca_system_score_codex":0.0025050235,"about_ca_system_score_gemma":0.004445973,"threshold_uncertainty_score":0.14394581},"labels":[],"label_agreement":null},{"id":"W4406477901","doi":"10.1016/0967-0653(95)99791-o","title":"10.1016/0967-0653(95)99791-o","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Movement (music); Geology; Hydrology (agriculture); Soil science; Geotechnical engineering; Environmental science; Art","score_opus":0.005225274100728589,"score_gpt":0.1692865959411945,"score_spread":0.1640613218404659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406477901","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006486538,0.00035411323,0.0010743443,0.00035485261,0.0003207089,0.0001579885,0.00095256086,0.0012120603,0.99492466],"genre_scores_gemma":[0.0009463777,0.00025971138,0.00061607524,0.0002842433,0.0000742354,0.00007894265,0.0006648694,0.00028816215,0.9967874],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999201,0.00006102938,0.000065084685,0.00029077585,0.00017872883,0.00020355218],"domain_scores_gemma":[0.99734724,0.00073719484,0.00013348219,0.00034032014,0.00059808214,0.0008436712],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011537563,0.0031207174,0.001843891,0.0030660336,0.0028304912,0.00391292,0.0037577944,0.0055291257,0.988789],"category_scores_gemma":[0.0017495354,0.0010276145,0.0016432835,0.0025938214,0.0024263668,0.0053248336,0.0035493406,0.0026732376,0.9916191],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005683326,0.00032716777,0.0012029955,0.00069125945,0.000055026114,0.00035550998,0.00014932407,0.000658237,0.0035386274,0.00539969,0.4284928,0.5585611],"study_design_scores_gemma":[0.00008350684,0.00017532897,0.0011636962,0.00040447738,0.00002409161,0.0004331138,0.00018506742,0.0004069356,0.0006389876,0.0009273876,0.9955213,0.00003616838],"about_ca_topic_score_codex":0.00609223,"about_ca_topic_score_gemma":0.004628705,"teacher_disagreement_score":0.011210978,"about_ca_system_score_codex":0.001148785,"about_ca_system_score_gemma":0.00086363254,"threshold_uncertainty_score":0.015991092},"labels":[],"label_agreement":null},{"id":"W4406482627","doi":"10.1007/s00704-024-05324-8","title":"Correction to: A comparative analysis of deep learning models for soil temperature prediction in cold climates","year":2025,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Climatology; Environmental science; Meteorology; Geology; Geography","score_opus":0.007563226456642116,"score_gpt":0.2540247343746998,"score_spread":0.24646150791805768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406482627","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082077086,0.0008906441,0.0026758006,0.021504682,0.966286,0.00004134588,0.0049329316,0.0010779399,0.0017698962],"genre_scores_gemma":[0.11304389,0.006859742,0.037110195,0.06029266,0.4992778,0.00065370364,0.026670417,0.009085949,0.2470057],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958054,0.00047162524,0.0007700378,0.00081960915,0.0015985109,0.00053469464],"domain_scores_gemma":[0.91474354,0.012285675,0.002186304,0.005449508,0.06281131,0.002523696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036293005,0.0023507623,0.0027107978,0.0057260804,0.002966856,0.004355158,0.0046857838,0.0054101963,0.15147974],"category_scores_gemma":[0.07802011,0.001046318,0.0022887527,0.005809135,0.0015967498,0.0033249506,0.0032186985,0.0065664137,0.05531955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114461865,0.000016256889,0.00034787314,0.00024952038,0.000050833773,0.00016589001,0.000032862907,0.00037777732,0.00023122618,0.0012578655,0.98523754,0.011917827],"study_design_scores_gemma":[0.00024059598,0.000077483375,0.006930893,0.0004906361,0.00012772084,0.00069798745,0.00025662532,0.0057515968,0.002514223,0.008317135,0.97440606,0.00018904758],"about_ca_topic_score_codex":0.015961982,"about_ca_topic_score_gemma":0.023213793,"teacher_disagreement_score":0.15147974,"about_ca_system_score_codex":0.0034956578,"about_ca_system_score_gemma":0.0049406006,"threshold_uncertainty_score":0.5067502},"labels":[],"label_agreement":null},{"id":"W4406586674","doi":"10.37577/sainteks.v6i02.787","title":"Application of Wonosobo Sheep Fleece as a Material of Filler Jacket","year":2024,"lang":"en","type":"article","venue":"Sainteks Jurnal Sains dan Teknik","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Filler (materials); Composite material; Materials science","score_opus":0.0055432345289957346,"score_gpt":0.2424394212945605,"score_spread":0.23689618676556476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406586674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9420996,0.023710994,0.0066726725,0.00036909155,0.0004165098,0.00016080488,0.0002964449,0.00012910418,0.02614482],"genre_scores_gemma":[0.97876245,0.0054999935,0.0058569857,0.00019943227,0.000041067626,0.000051125036,0.00013574507,0.000034669356,0.009418619],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998723,0.000012344717,0.0000075534176,0.000022841412,0.00006296733,0.000022006963],"domain_scores_gemma":[0.99992573,0.000012427712,0.000018517112,0.0000045200145,0.000020753041,0.000018075662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015139347,0.0002836277,0.00023588087,0.00059774745,0.00023584487,0.00034212787,0.00014729744,0.00037896147,0.0023334546],"category_scores_gemma":[0.00019321704,0.0001469997,0.00034730192,0.00022120854,0.00015527332,0.0004115718,0.0002688299,0.00053291256,0.00049529254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027036594,0.00014229942,0.00062682014,0.0012275797,0.000020762449,0.0008843109,0.00014714114,0.00024554215,0.97160834,0.0005615142,0.0006399138,0.023625499],"study_design_scores_gemma":[0.000024592991,0.0014541049,0.011193296,0.00030889784,0.00009718845,0.0016517105,0.00042750136,0.0011588156,0.93123496,0.00023675911,0.052169494,0.000042712072],"about_ca_topic_score_codex":0.0006014879,"about_ca_topic_score_gemma":0.0029048228,"teacher_disagreement_score":0.0023334546,"about_ca_system_score_codex":0.00017419951,"about_ca_system_score_gemma":0.00012720037,"threshold_uncertainty_score":0.007806182},"labels":[],"label_agreement":null},{"id":"W4406798330","doi":"10.1016/j.engappai.2025.110090","title":"Forward and inverse adversarial model applying to well-logging","year":2025,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"Special Fund for Scientific Innovation Strategy-Construction of High-level Academy of Agriculture Science; National Natural Science Foundation of China; China University of Petroleum, Beijing; Key Technologies Research and Development Program; China National Petroleum Corporation; National Key Research and Development Program of China","keywords":"Computer science; Adversarial system; Logging; Inverse; Inverse problem; Artificial intelligence","score_opus":0.01242662183255837,"score_gpt":0.2564127182798623,"score_spread":0.2439860964473039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406798330","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031535167,0.00015629613,0.9657177,0.00022731608,0.00007827206,0.00002247611,0.00004550108,0.00041454125,0.0018028107],"genre_scores_gemma":[0.87054676,0.000288144,0.11631783,0.00016325006,0.00007006107,0.000052722924,0.00026349322,0.000120235025,0.012177548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972326,0.00007136077,0.000012810593,0.00006571618,0.00008506739,0.000041748885],"domain_scores_gemma":[0.9993067,0.00035236948,0.000047936825,0.00014991527,0.000113572605,0.000029663373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010257097,0.0006664873,0.0006272541,0.00040346058,0.0003677478,0.0006387779,0.00079421065,0.0011208839,0.0020691482],"category_scores_gemma":[0.0019414991,0.00026001508,0.0006470516,0.00036719764,0.00094082777,0.0010879956,0.0012750614,0.0012900039,0.0003256025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014866541,0.000049764014,0.00068396976,0.000046622874,0.00003504693,0.00011726311,0.000054063108,0.91431373,0.0052008997,0.02228602,0.001258457,0.05580556],"study_design_scores_gemma":[0.0000011977955,0.000008446577,0.000047118145,0.0000014540327,0.0000031382256,0.000015012758,0.000002995564,0.9959942,0.0008396206,0.002960734,0.00012340593,0.0000025409472],"about_ca_topic_score_codex":0.0024734878,"about_ca_topic_score_gemma":0.0024039345,"teacher_disagreement_score":0.0024734878,"about_ca_system_score_codex":0.00036771555,"about_ca_system_score_gemma":0.0006788035,"threshold_uncertainty_score":0.0069220066},"labels":[],"label_agreement":null},{"id":"W4406888762","doi":"10.48550/arxiv.2501.15980","title":"A New Approach to Radiocarbon Summarisation: Rigorous Identification of Variations/Changepoints in the Occurrence Rate of Radiocarbon Samples using a Poisson Process","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Agence Nationale de la Recherche","keywords":"Radiocarbon dating; Identification (biology); Poisson process; Process (computing); Poisson distribution; Computer science; Econometrics; Mathematics; Geology; Statistics; Paleontology; Biology","score_opus":0.07305377249815709,"score_gpt":0.31073622340180457,"score_spread":0.23768245090364748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406888762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080260454,0.0001697521,0.9977367,0.00011838339,0.00006250455,0.00004922526,0.00030993283,0.00044115962,0.0003096123],"genre_scores_gemma":[0.028927438,0.00047324089,0.9662198,0.0002069851,0.00036423805,0.00038600585,0.0017854271,0.0005670199,0.0010698544],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98961335,0.0047296053,0.0015159459,0.0021591114,0.0018173126,0.00016463733],"domain_scores_gemma":[0.96610326,0.019346047,0.004489439,0.005328187,0.004367161,0.00036595718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014542903,0.0017881928,0.0018976082,0.005815955,0.00093426084,0.0050176564,0.004161469,0.0021408347,0.003825548],"category_scores_gemma":[0.08445479,0.0010877262,0.0020527244,0.006777505,0.0017845443,0.005535435,0.0033380792,0.0034070052,0.0017859617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018403617,0.00009980932,0.005408734,0.0019482792,0.0006186705,0.00048988726,0.002623487,0.07497741,0.011403673,0.32594883,0.017189091,0.5591081],"study_design_scores_gemma":[0.000055347147,0.00019732084,0.004077413,0.00044523412,0.00027018288,0.0005605943,0.00041578466,0.4470238,0.008759126,0.45344257,0.08444789,0.00030471635],"about_ca_topic_score_codex":0.0031143392,"about_ca_topic_score_gemma":0.003118247,"teacher_disagreement_score":0.014542903,"about_ca_system_score_codex":0.0014575134,"about_ca_system_score_gemma":0.0024161958,"threshold_uncertainty_score":0.07691115},"labels":[],"label_agreement":null},{"id":"W4407066124","doi":"10.1190/tle44020108.1","title":"Advancing geologic document digitalization and information retrieval with generative AI","year":2025,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Virtual Materials Group (Canada)","funders":"","keywords":"Generative grammar; Information retrieval; Computer science; Artificial intelligence","score_opus":0.0039777923399392685,"score_gpt":0.2314456312494914,"score_spread":0.22746783890955213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407066124","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029238047,0.00030537363,0.9579017,0.0006176045,0.000033274635,0.000058139794,0.000116497744,0.0021087686,0.009620612],"genre_scores_gemma":[0.5700198,0.0005725533,0.42312336,0.00026733844,0.00004498124,0.0000696171,0.00039599973,0.00040317906,0.005103176],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994838,0.00017980808,0.000030665055,0.00010432568,0.00016068794,0.000040637613],"domain_scores_gemma":[0.99840635,0.00074687257,0.00009013605,0.0004962771,0.00021089404,0.00004947647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009592546,0.00032853134,0.00030328002,0.00094941835,0.00033086265,0.0021150422,0.00090516487,0.00036925435,0.0033755777],"category_scores_gemma":[0.0034084402,0.00021190153,0.0006292174,0.0008423714,0.001436614,0.0020932567,0.0018623689,0.0008836216,0.0010550835],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016268942,0.00013422358,0.0019551571,0.00031262575,0.000058197817,0.0002559835,0.0014973229,0.19108322,0.05312563,0.2928521,0.005564431,0.4529984],"study_design_scores_gemma":[0.000017261464,0.000041088526,0.00039706787,0.000032222317,0.000022958016,0.00015966705,0.00027162067,0.84314793,0.026689121,0.11194028,0.017256116,0.000024683544],"about_ca_topic_score_codex":0.0029125398,"about_ca_topic_score_gemma":0.0034542456,"teacher_disagreement_score":0.0033755777,"about_ca_system_score_codex":0.00094135804,"about_ca_system_score_gemma":0.0008047662,"threshold_uncertainty_score":0.011292458},"labels":[],"label_agreement":null},{"id":"W4407097658","doi":"10.1109/jsen.2025.3534319","title":"ELMF-Net: Semantic Segmentation of Large-Scale Point Clouds via Efficient Local Feature Learner and Multiscale Fusion","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Point cloud; Segmentation; Computer science; Feature (linguistics); Artificial intelligence; Fusion; Point (geometry); Pattern recognition (psychology); Net (polyhedron); Computer vision; Mathematics; Geography; Cartography","score_opus":0.004435033679263574,"score_gpt":0.24048527591249874,"score_spread":0.23605024223323517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407097658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014434339,0.00013502575,0.98080105,0.00010193125,0.000030052126,0.00004008114,0.00029286748,0.0033873986,0.0007772682],"genre_scores_gemma":[0.40444005,0.0002472198,0.5874543,0.00033575876,0.000074935735,0.00021593968,0.0031201022,0.00055196666,0.0035596937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964106,0.00003821047,0.000015986017,0.000117624826,0.00012711703,0.000059916674],"domain_scores_gemma":[0.999716,0.000065811786,0.00003467783,0.000066587556,0.00008853714,0.000028416622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065444113,0.0012483823,0.0010653508,0.0011266448,0.0005126956,0.00085558224,0.0021319229,0.0012920512,0.0020638932],"category_scores_gemma":[0.0014978681,0.00046046235,0.0012294896,0.0011158596,0.00062813447,0.002329595,0.0022633064,0.0014038915,0.001041627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031013988,0.00021031195,0.0021353092,0.00011574732,0.00013266092,0.00016073021,0.00016529328,0.49993652,0.023353051,0.010595187,0.008839332,0.45404574],"study_design_scores_gemma":[0.0000062079043,0.000019870618,0.00018656031,0.0000039635406,0.000005844498,0.000025294587,0.000011937873,0.99164176,0.003764811,0.0036370023,0.00068952685,0.0000071755803],"about_ca_topic_score_codex":0.009418687,"about_ca_topic_score_gemma":0.011140846,"teacher_disagreement_score":0.009418687,"about_ca_system_score_codex":0.0012152884,"about_ca_system_score_gemma":0.0010191989,"threshold_uncertainty_score":0.01872772},"labels":[],"label_agreement":null},{"id":"W4407215276","doi":"10.1109/icaice63571.2024.10864093","title":"Research on Feature Extraction and Classification for Unstructured Data Based on Deep Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Feature extraction; Artificial intelligence; Feature (linguistics); Pattern recognition (psychology); Unstructured data; Machine learning; Data mining; Big data","score_opus":0.11170370760247764,"score_gpt":0.4038192472728606,"score_spread":0.29211553967038295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407215276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014197631,0.002512263,0.98103905,0.00035668424,0.00008576806,0.00004267944,0.00018504482,0.0008255044,0.0007553926],"genre_scores_gemma":[0.48785436,0.0066222628,0.49390563,0.0008409845,0.0004244171,0.00028270803,0.002877746,0.00022752068,0.0069643147],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942774,0.00008282622,0.0000447033,0.0002040252,0.00015499924,0.00008569485],"domain_scores_gemma":[0.9991943,0.00033402504,0.000094123854,0.0001255888,0.0002138643,0.000038196566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008847299,0.0016428854,0.001422384,0.0019179846,0.0003190956,0.0008977251,0.0017879963,0.0010224296,0.001169845],"category_scores_gemma":[0.0017924621,0.0004638815,0.0015927803,0.002595375,0.00062055537,0.00290821,0.00089387095,0.001810803,0.0005067562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011490653,0.0002566271,0.0027908047,0.00038157072,0.0002118233,0.00012874568,0.00013210131,0.11783796,0.01759449,0.010251838,0.0056323945,0.8446668],"study_design_scores_gemma":[0.0000062762506,0.00005894027,0.00066125084,0.000019898745,0.000036579713,0.000056397872,0.000029262344,0.98400843,0.005693409,0.0077013867,0.0017146538,0.000013490693],"about_ca_topic_score_codex":0.004293662,"about_ca_topic_score_gemma":0.0040834015,"teacher_disagreement_score":0.004293662,"about_ca_system_score_codex":0.0008070809,"about_ca_system_score_gemma":0.00082534953,"threshold_uncertainty_score":0.0085372925},"labels":[],"label_agreement":null},{"id":"W4407462795","doi":"10.1109/tit.2025.3541375","title":"On <i>k</i>-Mer-Based and Maximum Likelihood Estimation Algorithms for Trace Reconstruction","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Algorithm; Maximum likelihood; TRACE (psycholinguistics); Computer science; Maximum likelihood sequence estimation; Estimation theory; Mathematics; Statistics","score_opus":0.006647195131734337,"score_gpt":0.23484644799200569,"score_spread":0.22819925286027135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407462795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003403021,0.0004416751,0.9936237,0.0002776616,0.00003837506,0.00004884407,0.00015282132,0.0013102827,0.0007036753],"genre_scores_gemma":[0.06423546,0.00068525784,0.9256587,0.00041004206,0.00018852645,0.00034307476,0.0024953354,0.00087193033,0.005111587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99546236,0.0019276156,0.00029766152,0.0012140832,0.0007890936,0.00030912462],"domain_scores_gemma":[0.98417836,0.011545637,0.0008163564,0.001976822,0.001153433,0.00032940463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052929623,0.0030759885,0.0027555188,0.0029283282,0.0015766294,0.0033549038,0.0054839277,0.0043979995,0.006280384],"category_scores_gemma":[0.031560913,0.001826994,0.0024582597,0.0039733886,0.0021203908,0.0057651917,0.0039829924,0.0055931997,0.0056113694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009985731,0.00028364998,0.002286644,0.00052184693,0.00029416385,0.0003338147,0.0004808949,0.46778783,0.005646314,0.071056135,0.011137827,0.4391723],"study_design_scores_gemma":[0.000042313786,0.000043521704,0.00025507947,0.00004173448,0.000020075819,0.000096805794,0.000043690336,0.9390547,0.0016534352,0.056455355,0.0022485047,0.000044804037],"about_ca_topic_score_codex":0.009163347,"about_ca_topic_score_gemma":0.009340051,"teacher_disagreement_score":0.009163347,"about_ca_system_score_codex":0.0021880039,"about_ca_system_score_gemma":0.0036313944,"threshold_uncertainty_score":0.027992249},"labels":[],"label_agreement":null},{"id":"W4407678448","doi":"10.3390/jcp5010008","title":"Chaotic Hénon–Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images","year":2025,"lang":"en","type":"article","venue":"Journal of Cybersecurity and Privacy","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Qatar National Library","keywords":"Safeguarding; Logistic map; Chaotic; Computer science; Digital image; Computer security; Artificial intelligence; Computer vision; Data mining; Image (mathematics); Image processing; Medicine","score_opus":0.015598333533671786,"score_gpt":0.26965372292725426,"score_spread":0.25405538939358246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407678448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039147638,0.0007802436,0.95348257,0.00019365638,0.000086468026,0.00008406905,0.000023872914,0.0006111754,0.0055903024],"genre_scores_gemma":[0.7141137,0.00069658755,0.27741876,0.00011130998,0.00007267108,0.0001032622,0.00007670503,0.000098055585,0.007308918],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996692,0.000052024527,0.00001972255,0.000050460316,0.00017930882,0.00002934403],"domain_scores_gemma":[0.9998185,0.00004514608,0.000032806125,0.00004119612,0.000049188875,0.000013214157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643205,0.00052665424,0.00037845547,0.00062865217,0.00031374054,0.00053061475,0.0006004849,0.0005070224,0.001175761],"category_scores_gemma":[0.0007229614,0.00020544387,0.00036704016,0.00040026256,0.00045379394,0.0010996169,0.001034417,0.00059418706,0.00045163985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004696764,0.000122704,0.0021068202,0.00032435326,0.0001838369,0.00083017495,0.00033163276,0.1148133,0.3150244,0.0621403,0.0024623745,0.50119036],"study_design_scores_gemma":[0.00003217336,0.00036175415,0.00092765957,0.000028374647,0.000055648023,0.0012608615,0.000057031277,0.8448605,0.12222132,0.011914805,0.018211048,0.000068776586],"about_ca_topic_score_codex":0.00033890703,"about_ca_topic_score_gemma":0.0003362329,"teacher_disagreement_score":0.001175761,"about_ca_system_score_codex":0.00035511702,"about_ca_system_score_gemma":0.0003598318,"threshold_uncertainty_score":0.0039333105},"labels":[],"label_agreement":null},{"id":"W4407704098","doi":"10.1180/mgm.2025.11","title":"Mineralogy and geochemistry of pattern formation in print stone from the Pilbara, Australia","year":2025,"lang":"en","type":"article","venue":"Mineralogical Magazine","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geology; Geochemistry","score_opus":0.017577173040275486,"score_gpt":0.2568792794470862,"score_spread":0.23930210640681074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407704098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983101,0.000040147814,0.0004035578,0.000009494481,0.0000010905327,0.0000069995895,0.00010219686,0.000016878128,0.0011094544],"genre_scores_gemma":[0.99866474,0.00003120919,0.0005966906,0.000005263036,8.5400825e-7,0.0000028203717,0.00009092024,0.000004709048,0.00060271996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999449,0.0000022644635,0.000002813337,0.000018808052,0.000021242067,0.000009969923],"domain_scores_gemma":[0.9999236,0.0000062262548,0.000021923503,0.0000063257216,0.000029553843,0.000012337536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054844066,0.00010821619,0.00012269014,0.0017105776,0.00037173062,0.00036230896,0.00016652538,0.0001482938,0.0010883554],"category_scores_gemma":[0.00013292882,0.00013083703,0.000101526486,0.00083963876,0.0003181506,0.00012187776,0.00027834845,0.00009283168,0.00020642877],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020240694,0.00004946251,0.5148186,0.00014278642,0.000058430676,0.0012373514,0.001416637,0.00064276933,0.44375238,0.0001631484,0.00022524239,0.03729081],"study_design_scores_gemma":[0.0000019407687,0.000016032047,0.99369085,0.0000026495406,0.0000069184175,0.00026488234,0.0002634215,0.0006091948,0.0048024873,0.00001767246,0.0003217004,0.000002135371],"about_ca_topic_score_codex":0.026233483,"about_ca_topic_score_gemma":0.05502816,"teacher_disagreement_score":0.026233483,"about_ca_system_score_codex":0.00027607498,"about_ca_system_score_gemma":0.00019408987,"threshold_uncertainty_score":0.052161574},"labels":[],"label_agreement":null},{"id":"W4407759064","doi":"10.1214/25-ejp1458","title":"High-dimensional long-range statistical mechanical models have random walk correlation functions","year":2025,"lang":"en","type":"preprint","venue":"Electronic Journal of Probability","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Random walk; Statistical physics; Correlation; Range (aeronautics); Mathematics; Statistics; Physics; Materials science; Geometry","score_opus":0.013727500106853635,"score_gpt":0.24592119184902292,"score_spread":0.23219369174216928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407759064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83372694,0.0017626598,0.13976432,0.0023558442,0.00007524469,0.000045652447,0.0002808122,0.00039119445,0.021597264],"genre_scores_gemma":[0.99209,0.0003009301,0.005157483,0.00010365439,0.000040900723,0.000030399968,0.00009628327,0.000034124238,0.002146179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993266,0.00024584518,0.00002733776,0.00008508312,0.0001577786,0.0001575439],"domain_scores_gemma":[0.9955375,0.0021952952,0.0007958562,0.00048850046,0.0003914942,0.0005913187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016133416,0.001329719,0.0012692731,0.0019776716,0.0011963175,0.0027807464,0.0018580067,0.0026418073,0.0018188616],"category_scores_gemma":[0.006702558,0.0006361712,0.0010586451,0.001320157,0.0025518723,0.004491119,0.0023602624,0.002556249,0.00032381012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009002352,0.00009378005,0.001590826,0.00008947769,0.00004622427,0.0003188021,0.00015236673,0.27385163,0.002883933,0.71842253,0.00074442365,0.0017161082],"study_design_scores_gemma":[0.000022984781,0.000018392086,0.00042623474,0.0000152471675,0.0000115109,0.00006547799,0.00003704686,0.8613071,0.00059753435,0.13720916,0.00026767413,0.000021581684],"about_ca_topic_score_codex":0.0045219897,"about_ca_topic_score_gemma":0.0036410466,"teacher_disagreement_score":0.0045219897,"about_ca_system_score_codex":0.001964278,"about_ca_system_score_gemma":0.00067396084,"threshold_uncertainty_score":0.014251828},"labels":[],"label_agreement":null},{"id":"W4408006938","doi":"10.18280/ts.420107","title":"Automated Extraction and Classification of Fossil Whorl Patterns Using Deep Learning: A Novel Approach to Paleontological Image Analysis","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Whorl (mollusc); Artificial intelligence; Pattern recognition (psychology); Image (mathematics); Paleontology; Computer science; Deep learning; Extraction (chemistry); Biology; Cartography; Geology; Geography; Chemistry; Chromatography","score_opus":0.02825193496440693,"score_gpt":0.29033096330605057,"score_spread":0.26207902834164365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408006938","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09220382,0.00056384766,0.9002871,0.00033570675,0.000056363988,0.000070342525,0.00091840734,0.0030217718,0.0025426534],"genre_scores_gemma":[0.47200596,0.00067514915,0.5178166,0.00016226496,0.000076534154,0.00008269627,0.0019118593,0.0003843063,0.0068846564],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997224,0.000020752519,0.000014629168,0.000091993206,0.00008727627,0.00006288426],"domain_scores_gemma":[0.9995415,0.00007571907,0.00008077937,0.00011362389,0.00015356709,0.000034791046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003658834,0.0005886671,0.0005972852,0.0025158871,0.00034280928,0.0012887924,0.0012038402,0.0009019141,0.0016702851],"category_scores_gemma":[0.00074864767,0.00047808758,0.000732384,0.0017308424,0.0005445762,0.0009693164,0.0012615336,0.0010046202,0.0013084249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010580811,0.00017598137,0.008600597,0.0001679005,0.000072320756,0.00015100477,0.00014310541,0.034086782,0.09764183,0.0037097435,0.004912006,0.85023284],"study_design_scores_gemma":[0.00000826906,0.000032551612,0.008203044,0.000027769785,0.000029008188,0.0001983112,0.000073865915,0.9499102,0.02900521,0.008017859,0.0044721863,0.00002172984],"about_ca_topic_score_codex":0.0042303903,"about_ca_topic_score_gemma":0.010558885,"teacher_disagreement_score":0.0042303903,"about_ca_system_score_codex":0.00050914974,"about_ca_system_score_gemma":0.00086491974,"threshold_uncertainty_score":0.008411527},"labels":[],"label_agreement":null},{"id":"W4408042727","doi":"10.18280/ts.420148","title":"Dunhuang_Faces: A Dataset Enhanced through Image Processing for Cultural Heritage and Machine Learning","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cultural heritage; Artificial intelligence; Computer science; Computer vision; Image (mathematics); Image processing; Pattern recognition (psychology); Geography; Archaeology","score_opus":0.02160646187454686,"score_gpt":0.28516134763239326,"score_spread":0.2635548857578464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408042727","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05428645,0.0019648925,0.018276516,0.0006858717,0.000988404,0.0005952068,0.88744193,0.019822864,0.01593781],"genre_scores_gemma":[0.026899384,0.00039641513,0.020266311,0.00018304588,0.00007091144,0.00038745787,0.9445717,0.0005676879,0.006657087],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993962,0.00006982486,0.000031629417,0.00016860924,0.0002280726,0.00010577956],"domain_scores_gemma":[0.9994752,0.000099291676,0.000026707508,0.00018865912,0.00014640029,0.00006374849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045296352,0.0016830867,0.0008783725,0.0023833527,0.0010579077,0.0011865365,0.0023232354,0.0016638514,0.016581837],"category_scores_gemma":[0.0015173965,0.00037093466,0.0014315799,0.0020355366,0.00041754838,0.00077340595,0.0013625524,0.0012635612,0.012364198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059329084,0.00041397408,0.0039538015,0.0010997046,0.0002409587,0.0004912193,0.00010301908,0.004664881,0.011477078,0.001748509,0.8617038,0.11350977],"study_design_scores_gemma":[0.00033732894,0.0003127847,0.032200485,0.0003199679,0.0002570025,0.001739982,0.0006398796,0.03624286,0.019941341,0.0032251265,0.90454245,0.00024090342],"about_ca_topic_score_codex":0.030610267,"about_ca_topic_score_gemma":0.07218727,"teacher_disagreement_score":0.030610267,"about_ca_system_score_codex":0.0005759658,"about_ca_system_score_gemma":0.0012815918,"threshold_uncertainty_score":0.06086421},"labels":[],"label_agreement":null},{"id":"W4408052989","doi":"10.1016/j.powtec.2025.120861","title":"3D rock fragmentation analysis using lidar, based on point cloud deep learning segmentation and synthetic data","year":2025,"lang":"en","type":"article","venue":"Powder Technology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Point cloud; Lidar; Fragmentation (computing); Segmentation; Cloud computing; Deep learning; Geology; Artificial intelligence; Remote sensing; Computer science; Mineralogy","score_opus":0.012371674602496942,"score_gpt":0.2738007351921749,"score_spread":0.26142906058967796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408052989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5604658,0.00042616623,0.4309802,0.00031466183,0.000056968984,0.0001575889,0.0014193697,0.0037682257,0.002410848],"genre_scores_gemma":[0.8852423,0.00018891685,0.11118676,0.00006437197,0.000014246877,0.00009775496,0.0023137871,0.0001104483,0.00078147004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978596,0.000019206194,0.000010264719,0.00006541777,0.00008585852,0.00003335444],"domain_scores_gemma":[0.99974674,0.00007609363,0.000045170793,0.00004399881,0.00006528937,0.000022643982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027648403,0.00066314824,0.00036637345,0.0012122125,0.00024236058,0.0007412371,0.00084296433,0.0007081844,0.00061041047],"category_scores_gemma":[0.00089537504,0.00038361107,0.0008098635,0.00091256417,0.00053296005,0.0006925301,0.0006874697,0.0006846158,0.00025504315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013174885,0.00012526661,0.0056401812,0.00009868323,0.000049176517,0.00020345267,0.00008600141,0.8903139,0.012849834,0.0007844619,0.0010315431,0.08868578],"study_design_scores_gemma":[0.0000035618118,0.000013266946,0.0011154168,0.0000043119553,0.0000029644339,0.000024077695,0.000015197708,0.9964114,0.001898589,0.0003346638,0.00017083081,0.0000057878956],"about_ca_topic_score_codex":0.011535792,"about_ca_topic_score_gemma":0.015903788,"teacher_disagreement_score":0.011535792,"about_ca_system_score_codex":0.0005782571,"about_ca_system_score_gemma":0.00084558094,"threshold_uncertainty_score":0.022937298},"labels":[],"label_agreement":null},{"id":"W4408059151","doi":"10.1016/j.dsp.2025.105120","title":"A measurement anomaly detection method on metal cartridge cases based on PointNet++","year":2025,"lang":"en","type":"article","venue":"Digital Signal Processing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Cartridge; Anomaly detection; Anomaly (physics); Computer science; Artificial intelligence; Pattern recognition (psychology); Materials science; Metallurgy; Physics","score_opus":0.021544241037259222,"score_gpt":0.2635519083643219,"score_spread":0.2420076673270627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408059151","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08928357,0.0002620436,0.90274024,0.0001378164,0.00010368687,0.0000940504,0.00017261322,0.0045226756,0.0026833059],"genre_scores_gemma":[0.6235151,0.00025724203,0.3721977,0.000061033654,0.000063133666,0.00006168671,0.00052484777,0.00014673811,0.0031725008],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941087,0.000043341162,0.000030392353,0.00016105837,0.00029935135,0.000054926426],"domain_scores_gemma":[0.99968827,0.000053349042,0.00003560468,0.000060156035,0.00013940714,0.000023151268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029117207,0.0008095449,0.0006954541,0.0019817462,0.00058441894,0.00069266284,0.0013690112,0.0008159645,0.0022655397],"category_scores_gemma":[0.00091290066,0.00031793985,0.00046821425,0.0012914182,0.00050560693,0.0011247918,0.0009433743,0.00045642816,0.0008829722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033868203,0.00011124698,0.012214765,0.00016202372,0.00006019948,0.0008693749,0.00011996085,0.048492376,0.10051847,0.0061781635,0.003692691,0.827242],"study_design_scores_gemma":[0.00001579797,0.00010802617,0.0047108564,0.000013129918,0.000039092265,0.0010654305,0.000075098564,0.95047283,0.03610082,0.0035813125,0.0037901737,0.000027485621],"about_ca_topic_score_codex":0.0033822174,"about_ca_topic_score_gemma":0.0028453425,"teacher_disagreement_score":0.0033822174,"about_ca_system_score_codex":0.00028999327,"about_ca_system_score_gemma":0.0005613634,"threshold_uncertainty_score":0.007578969},"labels":[],"label_agreement":null},{"id":"W4408135470","doi":"10.1007/978-3-031-82153-0_26","title":"BA-GAN: A Boundary-Aware Generative Adversarial Network for Document Restoration","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Generative grammar; Generative adversarial network; Boundary (topology); Adversarial system; Computer science; Information retrieval; Artificial intelligence; Mathematics; Deep learning","score_opus":0.02240356776309566,"score_gpt":0.28829711874120983,"score_spread":0.2658935509781142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408135470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015599761,0.00040139037,0.9930876,0.000115289615,0.000077946985,0.00002919087,0.00016235773,0.0023593544,0.0022069681],"genre_scores_gemma":[0.12219753,0.0012148599,0.84839576,0.0006241265,0.0001637151,0.00017166114,0.0017787553,0.0018185701,0.023634996],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964905,0.00008335334,0.00001108505,0.00009432065,0.00012275316,0.00003945813],"domain_scores_gemma":[0.999632,0.0001551775,0.000021793865,0.00008451222,0.00008433106,0.000022080205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006526324,0.0010232335,0.0010800477,0.00056511245,0.0002931662,0.0009990676,0.002000757,0.0013734434,0.0060584433],"category_scores_gemma":[0.0013580912,0.0006112817,0.001005061,0.00067685964,0.0006233559,0.0012669693,0.0016348369,0.002914885,0.004265044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019823316,0.00009742718,0.00024404287,0.00016659521,0.00009844738,0.00011415523,0.00006304088,0.4024891,0.021559801,0.021733908,0.030141052,0.5230941],"study_design_scores_gemma":[0.0000043414925,0.000015021557,0.000045697503,0.000010048707,0.0000068631125,0.000050773964,0.0000038075893,0.9870663,0.0033063632,0.0060658557,0.0034173147,0.00000755804],"about_ca_topic_score_codex":0.0030609071,"about_ca_topic_score_gemma":0.005018523,"teacher_disagreement_score":0.0060584433,"about_ca_system_score_codex":0.00056588266,"about_ca_system_score_gemma":0.0005737443,"threshold_uncertainty_score":0.020267546},"labels":[],"label_agreement":null},{"id":"W4408146237","doi":"10.1109/icmla61862.2024.00079","title":"Segmentation of Maya Hieroglyphs through Fine-Tuned Foundation Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Maya; Foundation (evidence); Computer science; Segmentation; Artificial intelligence; Computer graphics (images); Archaeology; Geography","score_opus":0.02436218396478953,"score_gpt":0.2760455892150011,"score_spread":0.2516834052502116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408146237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3867291,0.0015929455,0.55039555,0.0013717724,0.0003191412,0.00044718996,0.009201764,0.020440908,0.029501632],"genre_scores_gemma":[0.66328514,0.00057546055,0.3056011,0.00031832972,0.00008251866,0.00024833856,0.019542955,0.0018077606,0.008538454],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999411,0.000104359664,0.000031971067,0.00024644998,0.00009569077,0.000110663736],"domain_scores_gemma":[0.9992872,0.00023517165,0.00005311938,0.00021521783,0.00014936023,0.000059990245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008696445,0.00083780935,0.0004859554,0.0029369618,0.00095479714,0.0029239377,0.0010240922,0.0012592677,0.0021345192],"category_scores_gemma":[0.0023253674,0.00050134724,0.0011657936,0.0017512885,0.0010807655,0.0013066554,0.001679183,0.0014348563,0.0028239703],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010285652,0.00038638918,0.025954336,0.0007014241,0.00022933533,0.001050772,0.0037068732,0.19651689,0.04925399,0.02267662,0.064324394,0.6341704],"study_design_scores_gemma":[0.000049884704,0.00007346071,0.00994509,0.00018081134,0.000084183535,0.0005237141,0.002038398,0.8877778,0.022067439,0.019053215,0.05813638,0.00006969815],"about_ca_topic_score_codex":0.01466907,"about_ca_topic_score_gemma":0.045757532,"teacher_disagreement_score":0.01466907,"about_ca_system_score_codex":0.0012237057,"about_ca_system_score_gemma":0.0016742265,"threshold_uncertainty_score":0.029167354},"labels":[],"label_agreement":null},{"id":"W4408356323","doi":"10.1109/icassp49660.2025.10888017","title":"Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planers","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations; Université Laval","funders":"","keywords":"Convolutional neural network; Computer science; Anomaly detection; Anomaly (physics); Speech recognition; Artificial intelligence; Physics","score_opus":0.014394483069817209,"score_gpt":0.234624797262682,"score_spread":0.2202303141928648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408356323","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35680097,0.0024602471,0.62478733,0.00052910915,0.00019457134,0.0000711071,0.0010342131,0.009752517,0.0043699057],"genre_scores_gemma":[0.8858073,0.0004777129,0.105903685,0.00017237794,0.000041298645,0.000033384465,0.0017509041,0.00015231477,0.0056610587],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999788,0.00003209263,0.0000075734956,0.00007005344,0.000048988317,0.00005324411],"domain_scores_gemma":[0.9997503,0.00010656605,0.000023249508,0.000037931542,0.00006449734,0.000017524813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005350293,0.0008304363,0.00032882366,0.00046760452,0.00019109229,0.00038453285,0.00070834707,0.00061796996,0.0013180382],"category_scores_gemma":[0.0010023979,0.00028340498,0.0004087065,0.0003474887,0.00025979205,0.00074625405,0.00052806194,0.00084459205,0.00055702415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043405843,0.00024310534,0.0061030043,0.00008749706,0.00012703144,0.00025137552,0.000072398696,0.37845662,0.027089259,0.0017437125,0.0066875205,0.57870436],"study_design_scores_gemma":[0.0000067194746,0.00003623497,0.0010220509,0.000004617025,0.000012054073,0.000029490755,0.000009116584,0.9925937,0.0050440445,0.0006770407,0.00055954146,0.000005382346],"about_ca_topic_score_codex":0.012643657,"about_ca_topic_score_gemma":0.019426227,"teacher_disagreement_score":0.012643657,"about_ca_system_score_codex":0.00043201147,"about_ca_system_score_gemma":0.0006454204,"threshold_uncertainty_score":0.025140166},"labels":[],"label_agreement":null},{"id":"W4408441114","doi":"10.5194/egusphere-egu25-3833","title":"Variability of Valley Floor Widths in a Mountain Landscape, Canadian Rockies","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Geography; Geomorphology; Physical geography; Archaeology","score_opus":0.007818574997217182,"score_gpt":0.23315151446777788,"score_spread":0.22533293947056068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408441114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955979,0.00012306366,0.00017774923,0.000040961546,0.0000013474868,0.000013936757,0.001577284,0.00002101329,0.0024467527],"genre_scores_gemma":[0.9975969,0.00009218961,0.00054858875,0.000017107297,7.454039e-7,0.000010115488,0.001126497,0.000006978758,0.00060088554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963915,0.000017436083,0.000013049561,0.000099733836,0.00013340874,0.00009710812],"domain_scores_gemma":[0.9993787,0.000052802243,0.00008762776,0.000030674873,0.0003588887,0.0000912911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002763628,0.00020054643,0.00021020592,0.001999727,0.002533325,0.0010013679,0.0006939549,0.00014971486,0.0010732971],"category_scores_gemma":[0.00092871836,0.00017224441,0.000230687,0.0032415064,0.0008546489,0.00021401363,0.0005127594,0.00021025725,0.00010801206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083854655,0.00002410711,0.9609888,0.000047666254,0.00009945108,0.00012385094,0.0033923928,0.0009446847,0.004581104,0.0005304105,0.0016517459,0.027531927],"study_design_scores_gemma":[8.519506e-7,0.0000027658218,0.9987023,0.000003470233,0.000004723646,0.00001805556,0.00052959647,0.00015230785,0.00006967996,0.000014493211,0.000496096,0.000005679435],"about_ca_topic_score_codex":0.9893884,"about_ca_topic_score_gemma":0.99819857,"teacher_disagreement_score":0.011934681,"about_ca_system_score_codex":0.011934681,"about_ca_system_score_gemma":0.010313682,"threshold_uncertainty_score":0.086592615},"labels":[],"label_agreement":null},{"id":"W4408610641","doi":"10.1101/2025.03.14.643068","title":"New methods on the block: Taxonomic identification of archaeological bones in resin-embedded sediments through palaeoproteomics","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Identification (biology); Archaeology; Block (permutation group theory); Geology; Geography; Biology; Mathematics; Ecology; Geometry","score_opus":0.02506251223539225,"score_gpt":0.2780072904226633,"score_spread":0.25294477818727107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408610641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7886378,0.007054628,0.18730322,0.0005104646,0.00019353723,0.00037119174,0.0075091743,0.0014553306,0.006964617],"genre_scores_gemma":[0.6911641,0.0051983166,0.27636316,0.00044326147,0.00011217211,0.0005819487,0.009420439,0.00048404565,0.016232613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997002,0.000025266467,0.000019160421,0.00013156547,0.00008416495,0.000039743216],"domain_scores_gemma":[0.9996681,0.000052597425,0.000112261245,0.00004803417,0.000077433775,0.00004150348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004712613,0.0007449417,0.00029243677,0.0016698891,0.0003955096,0.0007640736,0.00037829878,0.00046750956,0.004196527],"category_scores_gemma":[0.0004927795,0.00033474516,0.00028638652,0.0007317247,0.00039127842,0.00051439466,0.0005470028,0.0005846162,0.0021226127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042835043,0.000011558718,0.0026794993,0.0001151578,0.000018289427,0.000053545078,0.000091035225,0.000028289482,0.9860977,0.00009694874,0.00011235626,0.010652764],"study_design_scores_gemma":[0.0000152211305,0.00029665377,0.3263042,0.0001406861,0.0001169725,0.0017644198,0.00044117856,0.003186471,0.6278997,0.0004546512,0.03933098,0.000048932772],"about_ca_topic_score_codex":0.0011228374,"about_ca_topic_score_gemma":0.003668521,"teacher_disagreement_score":0.004196527,"about_ca_system_score_codex":0.00016398518,"about_ca_system_score_gemma":0.00021345096,"threshold_uncertainty_score":0.014038801},"labels":[],"label_agreement":null},{"id":"W4408686327","doi":"10.63485/dn542-c8c34","title":"OA to Canadian UFO files","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.01204638253950831,"score_gpt":0.2350377802909155,"score_spread":0.22299139775140717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408686327","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009978514,0.00054419483,0.003174274,0.0053743124,0.001724153,0.0003290781,0.34137452,0.010872843,0.6356088],"genre_scores_gemma":[0.014139246,0.0020045103,0.012348626,0.0027774558,0.0007085556,0.00061335345,0.32897446,0.0137004545,0.62473345],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948118,0.00022493079,0.0002810828,0.00046549796,0.002958002,0.0012587595],"domain_scores_gemma":[0.9680278,0.0015023585,0.00049010303,0.0042402144,0.023433845,0.002305701],"candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002830603,0.0017173518,0.0012552728,0.0148115335,0.008681484,0.011942555,0.0054131197,0.002571209,0.63241047],"category_scores_gemma":[0.03420206,0.0010890119,0.0014287701,0.024712238,0.0017727587,0.005165251,0.0050354516,0.0026268472,0.3700279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004026977,0.00000813895,0.00013294912,0.00006134694,0.0000037696032,0.000052866766,0.000085687585,0.0000538737,0.00014698495,0.007017338,0.97637945,0.016017346],"study_design_scores_gemma":[0.000007719688,0.0000012461642,0.00041099443,0.000055709486,0.0000022621657,0.000030000268,0.00007808402,0.0000616779,0.00017122131,0.0008863155,0.9982778,0.000016878741],"about_ca_topic_score_codex":0.8923267,"about_ca_topic_score_gemma":0.8524725,"teacher_disagreement_score":0.9945869,"about_ca_system_score_codex":0.035006676,"about_ca_system_score_gemma":0.066209234,"threshold_uncertainty_score":0.5243218},"labels":[],"label_agreement":null},{"id":"W4408739435","doi":"10.63485/cwqw1-c0e80","title":"Presentations from archaeology conference","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Archaeology; History; Geography","score_opus":0.038441179348474123,"score_gpt":0.2777053444133966,"score_spread":0.23926416506492248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408739435","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004469927,0.045915604,0.0024622388,0.081534006,0.51038927,0.00058691483,0.005303798,0.0012857519,0.34805256],"genre_scores_gemma":[0.0070430995,0.010308406,0.00080412824,0.007665669,0.053022284,0.00015752378,0.0022604659,0.0005722407,0.9181661],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982326,0.0002477203,0.00008855445,0.00035533466,0.00079448277,0.00028131652],"domain_scores_gemma":[0.99521434,0.00046849603,0.00018134335,0.00028353906,0.0015847089,0.0022676126],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0027528938,0.0018455979,0.0010934616,0.0033416299,0.003662901,0.00760184,0.0013835245,0.0034935856,0.322528],"category_scores_gemma":[0.0047567324,0.00047815638,0.0009795816,0.0025430538,0.0007982228,0.0029607983,0.005570548,0.0039293654,0.12957032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008958931,0.000028929284,0.00008945177,0.000120428616,0.000006656864,0.00011364911,0.00011045641,0.00003221501,0.00039877684,0.00071497465,0.9760834,0.022211544],"study_design_scores_gemma":[0.000009179916,0.000018739083,0.00023163007,0.00006110568,0.0000037161517,0.00003636847,0.0001377805,0.00001442634,0.0001039994,0.00032879633,0.99904877,0.0000054016446],"about_ca_topic_score_codex":0.0017495004,"about_ca_topic_score_gemma":0.0077714934,"teacher_disagreement_score":0.677472,"about_ca_system_score_codex":0.0020829253,"about_ca_system_score_gemma":0.0025588486,"threshold_uncertainty_score":0.9663316},"labels":[],"label_agreement":null},{"id":"W4408970861","doi":"10.1109/jstars.2025.3555925","title":"Automated Collection Planning for Civilian and Commercial Satellite Imagery, and Definition and Exploitation of the Collection Asset Specification Data Structure","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Data collection; Computer science; Asset (computer security); Satellite; Satellite broadcasting; Remote sensing; Computer security; Engineering; Geology","score_opus":0.04942142037852206,"score_gpt":0.2749420675870662,"score_spread":0.22552064720854412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408970861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014761509,0.00043830834,0.9620176,0.00038131129,0.000040884137,0.00082024065,0.0017360239,0.0030960282,0.016708072],"genre_scores_gemma":[0.08480579,0.0003947657,0.9063007,0.00009200057,0.000030309304,0.0005973888,0.004218276,0.0005875671,0.002973217],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953277,0.0015235222,0.0004723758,0.00072431954,0.0016871912,0.00026483054],"domain_scores_gemma":[0.991708,0.0027065813,0.0012484045,0.0020325424,0.0020849388,0.00021957769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004400884,0.00070813077,0.00052052893,0.0035676705,0.0017165419,0.0044419602,0.0014849381,0.000530298,0.0034527294],"category_scores_gemma":[0.012073198,0.0006218825,0.0008012837,0.0040550446,0.0017401809,0.0039365273,0.002174338,0.0011828144,0.0015286839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017357383,0.00014372564,0.013264508,0.000776799,0.000059218622,0.0003204823,0.003831642,0.05420435,0.018060584,0.14494497,0.024675196,0.739545],"study_design_scores_gemma":[0.00004876491,0.0002974208,0.02217226,0.00074732583,0.000068328925,0.0012326391,0.0050579645,0.2936751,0.04895263,0.10309051,0.52436805,0.00028908777],"about_ca_topic_score_codex":0.020070251,"about_ca_topic_score_gemma":0.02050488,"teacher_disagreement_score":0.020070251,"about_ca_system_score_codex":0.0022659763,"about_ca_system_score_gemma":0.0071264273,"threshold_uncertainty_score":0.03990686},"labels":[],"label_agreement":null},{"id":"W4409155833","doi":"10.1101/2025.03.30.645770","title":"UnitRefine: A Community Toolbox for Automated Spike Sorting Curation","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Deutsche Forschungsgemeinschaft; UK Research and Innovation","keywords":"Toolbox; Spike (software development); Computer science; Sorting; Data curation; Spike sorting; Data science; Artificial intelligence; Natural language processing; Software engineering; Programming language","score_opus":0.01959263443389107,"score_gpt":0.2535607066143429,"score_spread":0.23396807218045182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409155833","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001641624,0.00021869758,0.5317909,0.00019066785,0.00016050944,0.00014965505,0.011571419,0.4527805,0.0014960804],"genre_scores_gemma":[0.044561435,0.0005393968,0.73947316,0.00092630525,0.00015994154,0.002319765,0.049335573,0.15486316,0.007821352],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99783057,0.00048529697,0.00020056347,0.0006299869,0.00068173854,0.00017191378],"domain_scores_gemma":[0.9925625,0.0031254827,0.0004988478,0.0019395627,0.001485225,0.00038844842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005129057,0.0038495774,0.0018711933,0.0036906078,0.0009527227,0.0026815403,0.00470062,0.0018946499,0.04717918],"category_scores_gemma":[0.020588214,0.00156636,0.0023123347,0.0023406057,0.00091685425,0.0029545408,0.00480384,0.0036527906,0.03979688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010863529,0.0002536959,0.0026988,0.002139532,0.0005987264,0.00051938987,0.0005534632,0.019131217,0.02751606,0.015237035,0.65622395,0.27404177],"study_design_scores_gemma":[0.00053267996,0.00020342648,0.0040107397,0.0004933256,0.00011615303,0.000831129,0.00015443967,0.5419141,0.08100534,0.07505358,0.29521266,0.0004724736],"about_ca_topic_score_codex":0.003048403,"about_ca_topic_score_gemma":0.0068766745,"teacher_disagreement_score":0.04717918,"about_ca_system_score_codex":0.00095843186,"about_ca_system_score_gemma":0.0027117634,"threshold_uncertainty_score":0.15783012},"labels":[],"label_agreement":null},{"id":"W4409288082","doi":"10.1007/s00024-025-03710-5","title":"Application of Generative Adversarial Networks in Geoelectrical Field Data Processing: Innovative Approach to Solving Inverse Problems","year":2025,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adversarial system; Generative grammar; Field (mathematics); Computer science; Inverse problem; Inverse; Generative adversarial network; Inverse theory; Algorithm; Geology; Artificial intelligence; Mathematics; Deep learning; Telecommunications; Geometry; Mathematical analysis","score_opus":0.012632586212347446,"score_gpt":0.2380646132849088,"score_spread":0.22543202707256135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409288082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006215471,0.00015902291,0.992245,0.00025815508,0.000031703497,0.0000116904475,0.000019451374,0.00011891901,0.0009406394],"genre_scores_gemma":[0.7321548,0.0006333301,0.25972137,0.0004929206,0.00022481839,0.00011230006,0.00019125595,0.00017217871,0.00629703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956053,0.0002028768,0.000016441634,0.00008356021,0.00009756552,0.000038940947],"domain_scores_gemma":[0.9978847,0.0016401608,0.00011006678,0.00012669296,0.00018288662,0.000055588327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402543,0.00070359185,0.00075316115,0.00049194525,0.0003317641,0.0007652551,0.0012626462,0.0014326206,0.0013494991],"category_scores_gemma":[0.0037059337,0.0005102428,0.000790674,0.0005529997,0.0010255084,0.0008553928,0.001926226,0.0018722365,0.0002957574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000216728,0.00001548036,0.0002672575,0.000026588226,0.000029026533,0.000039552542,0.000032084645,0.9689143,0.0009152404,0.010553619,0.00043380313,0.018751387],"study_design_scores_gemma":[7.9291345e-7,0.0000031776333,0.000017985822,0.0000017685485,0.0000017016043,0.0000065028476,0.0000015291768,0.9971226,0.00015322088,0.00258671,0.00010258666,0.0000014137948],"about_ca_topic_score_codex":0.0039735567,"about_ca_topic_score_gemma":0.0038838105,"teacher_disagreement_score":0.0039735567,"about_ca_system_score_codex":0.0005597808,"about_ca_system_score_gemma":0.0007003509,"threshold_uncertainty_score":0.007900834},"labels":[],"label_agreement":null},{"id":"W4409529026","doi":"10.1007/978-3-031-85933-5_8","title":"A Review of Multi-modal and Multi-view Applications in Hand-Drawn Sketch Images","year":2025,"lang":"en","type":"review","venue":"Communications in computer and information science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sketch; Modal; Computer science; Information retrieval; Artificial intelligence; Algorithm; Materials science","score_opus":0.04784014137262523,"score_gpt":0.3799446016412361,"score_spread":0.3321044602686109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409529026","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043132718,0.9898337,0.0071316664,0.00018213708,0.00023389407,0.000020555637,0.00009235224,0.000056069195,0.0020183246],"genre_scores_gemma":[0.002973437,0.9864747,0.008098739,0.0002458485,0.0003944291,0.000026811715,0.00014568307,0.000023896828,0.0016163746],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99949193,0.00007151006,0.00006324924,0.00011572854,0.00023191035,0.00002566743],"domain_scores_gemma":[0.998235,0.0011900269,0.00010639041,0.00006270502,0.00036635695,0.000039438295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010520181,0.0009782694,0.0015617195,0.004545214,0.00029065646,0.0015707944,0.001302442,0.0013499227,0.006361885],"category_scores_gemma":[0.0029463477,0.00073563313,0.00093196623,0.005247484,0.00065122044,0.0023172519,0.0008603877,0.0010984265,0.0026297537],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054903314,0.0000561171,0.00021374175,0.0137946,0.000081055296,0.000097436816,0.000048494072,0.00072397984,0.003112031,0.003458455,0.012359694,0.9659996],"study_design_scores_gemma":[0.000028101293,0.00022276273,0.0027473576,0.006431359,0.00038916882,0.003474862,0.00014642584,0.004118398,0.008878835,0.0048405253,0.9685601,0.00016203396],"about_ca_topic_score_codex":0.001819109,"about_ca_topic_score_gemma":0.0023127517,"teacher_disagreement_score":0.006361885,"about_ca_system_score_codex":0.00044355023,"about_ca_system_score_gemma":0.0008481697,"threshold_uncertainty_score":0.021282554},"labels":[],"label_agreement":null},{"id":"W4410336865","doi":"10.26443/crae.v51i1.1173","title":"Crafted Objects Carry Meaning","year":2025,"lang":"en","type":"article","venue":"The Canadian Review of Art Education / Revue canadienne d’éducation artistique","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Carry (investment); Meaning (existential); Computer science; Epistemology; Philosophy; Business","score_opus":0.011095413345908998,"score_gpt":0.2618570060256596,"score_spread":0.25076159267975057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410336865","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0587713,0.018322092,0.04724667,0.00845793,0.0017532491,0.00014689073,0.00036347553,0.00038702655,0.8645513],"genre_scores_gemma":[0.81245124,0.015026765,0.025366578,0.0016809553,0.00076480495,0.00013269142,0.00037764994,0.00047024473,0.1437289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99758077,0.0007586251,0.000105960135,0.00035307382,0.00095322984,0.00024828583],"domain_scores_gemma":[0.9963814,0.0015675508,0.000234903,0.0012313392,0.00035463748,0.00023003794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024956865,0.0006340222,0.0004975686,0.00261615,0.004115552,0.012389436,0.0013542507,0.0021889429,0.017329115],"category_scores_gemma":[0.006544924,0.0004443016,0.0004445022,0.0022161324,0.040664446,0.010044931,0.0075437236,0.002480905,0.0023338266],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026137732,0.0000124627,0.0004489202,0.00030500034,0.000011838922,0.000463767,0.031072807,0.00023538993,0.0009776644,0.9122236,0.0047131693,0.049509246],"study_design_scores_gemma":[0.000010240566,0.00003271295,0.0012713271,0.00081938197,0.00001763239,0.0007903725,0.014493189,0.00013752059,0.00088082533,0.16630241,0.81521255,0.000031860727],"about_ca_topic_score_codex":0.0043846383,"about_ca_topic_score_gemma":0.0072785476,"teacher_disagreement_score":0.017329115,"about_ca_system_score_codex":0.0027326464,"about_ca_system_score_gemma":0.0027117082,"threshold_uncertainty_score":0.057971716},"labels":[],"label_agreement":null},{"id":"W4410707300","doi":"10.55041/ijsrem48549","title":"AI-Powered Flat Finder: A Real Estate Search Assistant using Gemini, React, and Firebase","year":2025,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer graphics (images); Computer science; Real estate; Computer hardware; Real-time computing; Business; Finance","score_opus":0.03527072978412629,"score_gpt":0.34494476078868236,"score_spread":0.30967403100455604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410707300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22114995,0.00058577774,0.3676114,0.00088097446,0.0003452146,0.0011202962,0.0040530004,0.3608076,0.043445818],"genre_scores_gemma":[0.6521328,0.0003539042,0.273338,0.0009815992,0.00011062365,0.00072810246,0.009151754,0.003810868,0.059392337],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956936,0.00007923842,0.000032470143,0.00011563291,0.00015740194,0.00004590733],"domain_scores_gemma":[0.99914217,0.00040284416,0.000043121418,0.00015106273,0.00011515331,0.00014554923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082967617,0.0009717714,0.0004796249,0.0007791262,0.0005392686,0.0009455591,0.0015194553,0.00088450353,0.01339929],"category_scores_gemma":[0.0020144302,0.00033528206,0.00042940263,0.00045761114,0.0003135704,0.0018506215,0.0017175277,0.0007808023,0.0041184416],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006795374,0.0027882652,0.017762983,0.0016893494,0.00036787995,0.00559029,0.005979707,0.014037049,0.16161793,0.015797142,0.19122265,0.57635146],"study_design_scores_gemma":[0.00052391895,0.001285507,0.0139691895,0.00018043754,0.00025262396,0.0026844086,0.0016855679,0.5452826,0.12806995,0.009565107,0.29611233,0.0003884063],"about_ca_topic_score_codex":0.0032743844,"about_ca_topic_score_gemma":0.0043750443,"teacher_disagreement_score":0.01339929,"about_ca_system_score_codex":0.00039091695,"about_ca_system_score_gemma":0.0005267426,"threshold_uncertainty_score":0.044825137},"labels":[],"label_agreement":null},{"id":"W4411142892","doi":"10.1109/icaace65325.2025.11020199","title":"Medal Prediction Model Based on Machine Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medal; Computer science; Artificial intelligence; Machine learning; Geography; Archaeology","score_opus":0.0070911667784993235,"score_gpt":0.2252464504527171,"score_spread":0.21815528367421777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411142892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16595699,0.0008793643,0.8102627,0.0019518903,0.0005117462,0.00039934317,0.0053767413,0.0039438666,0.010717434],"genre_scores_gemma":[0.87490493,0.00050614914,0.10433107,0.00037693835,0.00029971203,0.0005741337,0.004800497,0.00012640822,0.014080035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991616,0.00023831808,0.000049734906,0.0002818037,0.00012741816,0.0001410626],"domain_scores_gemma":[0.99800354,0.0011915325,0.00022256777,0.00009522942,0.00040411967,0.000082952996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002204812,0.0008613048,0.0009168888,0.0017065958,0.0004926522,0.0011938142,0.0018554863,0.000991026,0.0068185567],"category_scores_gemma":[0.004495248,0.00039681513,0.0010855776,0.0012595364,0.0004890379,0.0010222002,0.0006701075,0.0016436739,0.0022207154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021905506,0.00016469628,0.023435446,0.00007820965,0.00011771041,0.00013938337,0.000072251234,0.88673043,0.00036641432,0.008501467,0.0064248648,0.07375003],"study_design_scores_gemma":[0.000005000812,0.000019055988,0.001195297,0.000007555129,0.0000084254625,0.000016675116,0.0000074604322,0.9958104,0.0001050989,0.0021660933,0.0006523294,0.0000066127545],"about_ca_topic_score_codex":0.01747892,"about_ca_topic_score_gemma":0.011828777,"teacher_disagreement_score":0.01747892,"about_ca_system_score_codex":0.0010718533,"about_ca_system_score_gemma":0.0008828549,"threshold_uncertainty_score":0.034754336},"labels":[],"label_agreement":null},{"id":"W4411175958","doi":"10.1103/f48m-rlh3","title":"Fracton models from product codes","year":2025,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Perimeter Institute","funders":"U.S. Department of Energy","keywords":"Fracton; Product (mathematics); Computer science; Mathematics","score_opus":0.09199282168732643,"score_gpt":0.4499846485211548,"score_spread":0.35799182683382835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411175958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4843189,0.0011391635,0.40273428,0.0012933736,0.00019705537,0.00010276847,0.00040390747,0.00032622475,0.10948443],"genre_scores_gemma":[0.96202403,0.00042896296,0.026715815,0.00024457416,0.00010277183,0.00012350958,0.00021177942,0.000113942195,0.010034529],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996049,0.0000881825,0.00002137469,0.00006741395,0.00012967615,0.000088508394],"domain_scores_gemma":[0.998553,0.0005982749,0.00018109896,0.00030963073,0.0002130774,0.000144939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048384533,0.00042420148,0.0004705153,0.0011712874,0.0010463618,0.0014782365,0.000685138,0.001157074,0.0060782307],"category_scores_gemma":[0.0022174497,0.00027641156,0.0006389563,0.00044618032,0.00267773,0.0024892301,0.0012343263,0.0011688705,0.0005816574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074795676,0.000005320034,0.000105990606,0.000016818261,0.0000015967775,0.000034917975,0.00007809528,0.0030591362,0.00065800117,0.9949732,0.00022028152,0.000839288],"study_design_scores_gemma":[0.000009357927,0.000029337061,0.00015534912,0.000018411718,0.0000030761705,0.00015662085,0.00007541997,0.04644443,0.001471608,0.94891965,0.0027002736,0.000016505684],"about_ca_topic_score_codex":0.0010033814,"about_ca_topic_score_gemma":0.0010659255,"teacher_disagreement_score":0.0060782307,"about_ca_system_score_codex":0.0012164806,"about_ca_system_score_gemma":0.00056847755,"threshold_uncertainty_score":0.020333767},"labels":[],"label_agreement":null},{"id":"W4411227693","doi":"10.1016/j.dib.2025.111770","title":"An extensive archaeological dental calculus dataset spanning 5000 years for ancient human oral microbiome research","year":2025,"lang":"en","type":"article","venue":"Data in Brief","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"White Rose College of the Arts and Humanities; Durham University; University of Leicester; Wellcome Trust; Nottingham Trent University","keywords":"Microbiome; Oral Microbiome; Calculus (dental); Research article; Dental research; Archaeology; Dentistry; Computational biology; Computer science; Biology; Medicine; Bioinformatics; Geography; Library science","score_opus":0.1025891073164672,"score_gpt":0.4268921932256552,"score_spread":0.324303085909188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411227693","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0847731,0.0037530523,0.016688623,0.0006039703,0.00021231193,0.00031669173,0.8846295,0.0010639953,0.007958654],"genre_scores_gemma":[0.062175464,0.0013515116,0.02854549,0.00019777211,0.000047627316,0.0006540867,0.90420526,0.0001471298,0.0026756995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993581,0.000077576195,0.00011180799,0.00017714169,0.00019419118,0.00008111011],"domain_scores_gemma":[0.99903667,0.00016254067,0.00017339381,0.00026369846,0.00027267594,0.00009103335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068614923,0.00051343354,0.00073917134,0.002819506,0.0010047245,0.000994125,0.0008228155,0.0010269519,0.007449835],"category_scores_gemma":[0.0031072975,0.00037048865,0.00086397736,0.0055085816,0.00040639137,0.00048896327,0.0022458897,0.0007522894,0.0055527994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014160522,0.0004234501,0.19552657,0.008202281,0.00070349604,0.0027937917,0.0033012673,0.004276705,0.10080706,0.0056319954,0.41790763,0.25900966],"study_design_scores_gemma":[0.000094663184,0.00014040153,0.3048432,0.0007002128,0.0002444607,0.0022406091,0.0013799452,0.0016227908,0.009708225,0.0031939687,0.6757253,0.0001062324],"about_ca_topic_score_codex":0.010966496,"about_ca_topic_score_gemma":0.043215964,"teacher_disagreement_score":0.010966496,"about_ca_system_score_codex":0.00057343947,"about_ca_system_score_gemma":0.0019147587,"threshold_uncertainty_score":0.024922192},"labels":[],"label_agreement":null},{"id":"W4412067004","doi":"10.5194/egusphere-2025-2886","title":"Icebergs, jigsaw puzzles and genealogy: Automated multi-generational iceberg tracking and lineage reconstruction","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"British Antarctic Survey; Engineering and Physical Sciences Research Council; Alan Turing Institute","keywords":"Iceberg; Jigsaw; Lineage (genetic); Tracking (education); Genealogy; Geography; History; Biology; Sociology; Mathematics; Mathematics education","score_opus":0.025012382574275963,"score_gpt":0.2808061546302174,"score_spread":0.25579377205594145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412067004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21770222,0.00093723624,0.76103795,0.0005013838,0.00010486558,0.00021153472,0.003950393,0.013201984,0.0023523702],"genre_scores_gemma":[0.3787448,0.00017152315,0.6117446,0.00012317585,0.000029142293,0.00012577801,0.007010485,0.00058130606,0.0014692589],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993961,0.00015342268,0.000038900132,0.00024711894,0.00010968619,0.000054702978],"domain_scores_gemma":[0.9979248,0.0008975983,0.0002875842,0.0004707189,0.0002779674,0.00014125918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016152645,0.0006594509,0.00064186007,0.002586488,0.000753709,0.001273642,0.0017927837,0.001089525,0.0019633342],"category_scores_gemma":[0.004862505,0.0006050824,0.0010119085,0.0015912235,0.0005261791,0.0013840417,0.0017324087,0.0010493477,0.0009043261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047841956,0.00026099506,0.07885933,0.0003067681,0.00048873195,0.0008633228,0.0018535452,0.3185612,0.013470757,0.01002459,0.015850982,0.5589813],"study_design_scores_gemma":[0.000014141023,0.000025483014,0.0033905993,0.000026035827,0.000021078684,0.000102110585,0.00014316128,0.98571116,0.0022739463,0.0055999495,0.0026785512,0.000013627019],"about_ca_topic_score_codex":0.011146478,"about_ca_topic_score_gemma":0.021988533,"teacher_disagreement_score":0.011146478,"about_ca_system_score_codex":0.0008444199,"about_ca_system_score_gemma":0.001050581,"threshold_uncertainty_score":0.022163212},"labels":[],"label_agreement":null},{"id":"W4412071624","doi":"10.3390/encyclopedia5030098","title":"Data Structures for 2D Representation of Terrain Models","year":2025,"lang":"en","type":"article","venue":"Encyclopedia","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Representation (politics); Computer science; Geography; Cartography; Political science","score_opus":0.03653302850311565,"score_gpt":0.32030034172051647,"score_spread":0.28376731321740084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412071624","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017694759,0.0013857841,0.9616572,0.0004528521,0.0002840898,0.00025016093,0.015395166,0.009760519,0.009044846],"genre_scores_gemma":[0.050087187,0.003052398,0.8903575,0.00035855232,0.00017018919,0.0013442527,0.046455532,0.0024509733,0.0057234378],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985051,0.00023971124,0.00025838654,0.00022175099,0.00068804383,0.00008709032],"domain_scores_gemma":[0.9984181,0.0004980634,0.00013023612,0.00050561153,0.00038495724,0.0000631499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011362009,0.0014330306,0.0013284967,0.0035012017,0.0010922285,0.0054997383,0.0027084283,0.0014539486,0.025107628],"category_scores_gemma":[0.0062595513,0.0009300984,0.0022754679,0.0053959386,0.0009507667,0.0047952463,0.0036705974,0.0021551421,0.01356365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023741607,0.00013354451,0.0019180545,0.0019860917,0.00013703437,0.000738895,0.0014739411,0.081789695,0.0076390095,0.33926097,0.115295514,0.44938982],"study_design_scores_gemma":[0.00005534303,0.00005537814,0.0008468816,0.0006030134,0.000048480226,0.00061112194,0.0005111988,0.2224266,0.0058929715,0.18047473,0.5883544,0.000119872355],"about_ca_topic_score_codex":0.004740464,"about_ca_topic_score_gemma":0.0052920864,"teacher_disagreement_score":0.025107628,"about_ca_system_score_codex":0.0011641153,"about_ca_system_score_gemma":0.001123754,"threshold_uncertainty_score":0.083993375},"labels":[],"label_agreement":null},{"id":"W4412084899","doi":"10.1364/ofc.2025.th1f.5","title":"Chiplet Solutions to Enable AI Scaling","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Computer science; Scaling; Mathematics","score_opus":0.010152778189869836,"score_gpt":0.25710337008915285,"score_spread":0.246950591899283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412084899","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04141603,0.014639961,0.67647034,0.014677426,0.0053147064,0.00035257312,0.0012529544,0.01585958,0.23001646],"genre_scores_gemma":[0.44175875,0.018990811,0.39983404,0.008648954,0.0019482775,0.0006503422,0.003030607,0.002198323,0.122940004],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938464,0.00006231875,0.000021670705,0.00008172919,0.0003379657,0.00011158725],"domain_scores_gemma":[0.999005,0.00014544405,0.0000578579,0.0001759947,0.00047049555,0.00014511056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088208006,0.00074250856,0.00039720006,0.0007579193,0.0004863402,0.0022504763,0.0019222284,0.0016718531,0.027159018],"category_scores_gemma":[0.0019055489,0.0002713364,0.000337361,0.0006011489,0.00058370276,0.0035301368,0.002863947,0.0019166487,0.008296258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026336047,0.00017403312,0.0008848598,0.00079545495,0.000058936188,0.00045461018,0.0004625057,0.016656732,0.13914081,0.2544162,0.16469075,0.42200175],"study_design_scores_gemma":[0.000066457134,0.00038057272,0.0005668208,0.00022267817,0.000043846216,0.0006196746,0.00025986313,0.07707026,0.059124704,0.06968339,0.7918927,0.000069094596],"about_ca_topic_score_codex":0.00043694876,"about_ca_topic_score_gemma":0.00085588923,"teacher_disagreement_score":0.027159018,"about_ca_system_score_codex":0.0008414264,"about_ca_system_score_gemma":0.000547461,"threshold_uncertainty_score":0.0908559},"labels":[],"label_agreement":null},{"id":"W4412216870","doi":"","title":"Artikler i Jysk Ordbog: lin2 – lind, line – linning, lod2 – lod4, loft2 – lomme, love4 – lue1, lue2 – lugar, lukke1 – lun2; i alt 203 kc","year":2022,"lang":"da","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SKiN Health","funders":"","keywords":"Mathematics","score_opus":0.015951346652187795,"score_gpt":0.23854475082558388,"score_spread":0.22259340417339607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412216870","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062009813,0.0463014,0.16123465,0.007081631,0.09555118,0.00074743346,0.018586442,0.032992385,0.6313039],"genre_scores_gemma":[0.032413326,0.015182214,0.067939475,0.0011387469,0.011763875,0.0005169445,0.014983528,0.015486207,0.84057564],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916553,0.00011312076,0.00008045519,0.0002132256,0.00035002982,0.00007768983],"domain_scores_gemma":[0.9988582,0.00034024823,0.00006518713,0.00018731607,0.00025099076,0.0002981442],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015061019,0.0025502718,0.0013764545,0.0034040955,0.0011738368,0.0050037396,0.0016116481,0.0020164559,0.46810466],"category_scores_gemma":[0.0027091715,0.000641705,0.0012832743,0.0022404736,0.0010405846,0.0019198961,0.0028271058,0.0027119506,0.2633276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028052978,0.00007600965,0.00018373587,0.0007290315,0.00002616827,0.00039920324,0.00015280544,0.0014895847,0.0060562226,0.008661792,0.6413659,0.34057906],"study_design_scores_gemma":[0.00004285074,0.000033794917,0.0003866591,0.00013824806,0.000009901899,0.00069742923,0.000037159134,0.001114941,0.0013575226,0.0018071798,0.9943487,0.000025724315],"about_ca_topic_score_codex":0.0022408308,"about_ca_topic_score_gemma":0.0022888691,"teacher_disagreement_score":0.46810466,"about_ca_system_score_codex":0.00083599874,"about_ca_system_score_gemma":0.0011804968,"threshold_uncertainty_score":0.75868416},"labels":[],"label_agreement":null},{"id":"W4413156958","doi":"10.1109/cvpr52734.2025.01547","title":"HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Spherical harmonics; Computer science; Harmonics; Computer vision; Artificial intelligence; Computer graphics (images); Engineering; Mathematics; Mathematical analysis; Electrical engineering","score_opus":0.09322759188141548,"score_gpt":0.31278362482733,"score_spread":0.21955603294591453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413156958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005405676,0.00020889577,0.9862281,0.00006402543,0.000021006015,0.000065467466,0.00048099918,0.0057069845,0.0018189207],"genre_scores_gemma":[0.12311125,0.0006138942,0.86748147,0.000242535,0.000055419983,0.0001488662,0.0032780424,0.0014628518,0.0036057364],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971443,0.00003543671,0.000009239449,0.00007250368,0.00012883115,0.00003943438],"domain_scores_gemma":[0.9997708,0.00005501789,0.000018356312,0.00007195188,0.0000522344,0.000031695363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003425714,0.0011558519,0.0007950125,0.0012708718,0.0002544983,0.0013100405,0.0012120486,0.00071711175,0.0068363436],"category_scores_gemma":[0.0008087588,0.00049515936,0.0013400747,0.0007657369,0.00040442962,0.0018862833,0.0024948677,0.0012338061,0.0025226274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031854276,0.00011798499,0.0011689859,0.0005006103,0.00026145202,0.0002497678,0.00046392783,0.08117432,0.11299449,0.014772589,0.022005448,0.76597184],"study_design_scores_gemma":[0.000052303258,0.00016269862,0.0022722567,0.00004559588,0.0000725347,0.00052873587,0.00027946074,0.8906212,0.048933487,0.030135887,0.026818851,0.0000770672],"about_ca_topic_score_codex":0.0039791563,"about_ca_topic_score_gemma":0.008465116,"teacher_disagreement_score":0.0068363436,"about_ca_system_score_codex":0.00038107642,"about_ca_system_score_gemma":0.00067566545,"threshold_uncertainty_score":0.022869885},"labels":[],"label_agreement":null},{"id":"W4413158056","doi":"10.1109/ngise64126.2025.11085283","title":"AI-Driven Forensic Investigation: Automated 3D Reconstruction and Evidence Visualization","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Visualization; Computer science; Computer forensics; Data visualization; Artificial intelligence; Digital forensics; Computer graphics (images); Computer security","score_opus":0.016207225188579318,"score_gpt":0.2836351576601902,"score_spread":0.2674279324716109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413158056","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035239134,0.0007687233,0.98193365,0.0020756798,0.00011655145,0.00009429518,0.00012544899,0.0026496367,0.008712084],"genre_scores_gemma":[0.12153845,0.001533761,0.86926806,0.0006242312,0.00012262595,0.0001037053,0.00037039822,0.00039986015,0.0060389205],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985253,0.000523864,0.000087963694,0.00018664336,0.00059073186,0.000085453925],"domain_scores_gemma":[0.9978928,0.00084665377,0.00015200091,0.0005202086,0.0004950182,0.000093328184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023377934,0.00073143607,0.00054753904,0.002910267,0.0010847409,0.0052340454,0.0023097324,0.002116768,0.0045161764],"category_scores_gemma":[0.005509177,0.0009169355,0.0010347491,0.0015839874,0.0030525099,0.003791299,0.003637784,0.0015733998,0.002090576],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002107062,0.000115499766,0.0013949334,0.0004385265,0.00009848515,0.00063068676,0.0017897206,0.06415695,0.031331703,0.191553,0.02486492,0.68341494],"study_design_scores_gemma":[0.000040780906,0.00010500951,0.0013045131,0.0003890512,0.000046560064,0.0015613915,0.00073665916,0.6333656,0.03923243,0.1886981,0.13435164,0.00016821604],"about_ca_topic_score_codex":0.0024295833,"about_ca_topic_score_gemma":0.0025430468,"teacher_disagreement_score":0.0052340454,"about_ca_system_score_codex":0.0010690714,"about_ca_system_score_gemma":0.0015211955,"threshold_uncertainty_score":0.015108168},"labels":[],"label_agreement":null},{"id":"W4413613093","doi":"10.1016/j.jas.2025.106237","title":"A new approach to radiocarbon summarisation: Rigorous identification of variations/changepoints in the occurrence rate of radiocarbon samples using a Poisson process","year":2025,"lang":"en","type":"article","venue":"Journal of Archaeological Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Agence Nationale de la Recherche; Royal Society; Leverhulme Trust","keywords":"Radiocarbon dating; Identification (biology); Poisson process; Poisson distribution; Geology; Paleontology; Mathematics; Statistics; Biology; Ecology","score_opus":0.038569869574878,"score_gpt":0.3153699863206685,"score_spread":0.27680011674579047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413613093","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078880024,0.00015402156,0.9977744,0.00011353676,0.00006226013,0.00005008987,0.00030784123,0.00045295258,0.0002960576],"genre_scores_gemma":[0.027970681,0.0004477302,0.96716154,0.00020735842,0.00036578416,0.00038998987,0.0018215507,0.00060240703,0.0010329915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98960364,0.0046818084,0.0015171994,0.0021687392,0.0018609124,0.00016772651],"domain_scores_gemma":[0.9650249,0.020046135,0.004591257,0.005441759,0.004523724,0.00037229242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014819863,0.0018406922,0.0019239737,0.0058237957,0.0009298642,0.0050712046,0.004237587,0.0021828339,0.0038988837],"category_scores_gemma":[0.084457755,0.0010963054,0.0021011513,0.006625908,0.0017350066,0.005522352,0.0033981109,0.0035658437,0.0018561664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019839303,0.0001110039,0.005495113,0.0020752177,0.0006729312,0.00052608736,0.0027413545,0.07749649,0.01328987,0.32687974,0.018396433,0.55211735],"study_design_scores_gemma":[0.000059099028,0.00019960993,0.004009798,0.00043753829,0.0002717614,0.00054911105,0.00039940624,0.46925527,0.008926959,0.43351558,0.08205774,0.0003182512],"about_ca_topic_score_codex":0.0030270952,"about_ca_topic_score_gemma":0.003088225,"teacher_disagreement_score":0.014819863,"about_ca_system_score_codex":0.0014319625,"about_ca_system_score_gemma":0.002429187,"threshold_uncertainty_score":0.078375876},"labels":[],"label_agreement":null},{"id":"W4413778076","doi":"10.1016/j.engappai.2025.112010","title":"A semi-supervised framework for generating multi-dimensional taxonomies from asset maintenance documents","year":2025,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Asset (computer security); Information retrieval; Artificial intelligence; Data mining; Computer security","score_opus":0.020933383502011182,"score_gpt":0.28349745430805834,"score_spread":0.26256407080604716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413778076","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011913135,0.00028039195,0.97452015,0.00025691642,0.00006592385,0.0005322193,0.0031041293,0.008372925,0.0009542599],"genre_scores_gemma":[0.09028237,0.00014227588,0.89299136,0.00013413008,0.000091735725,0.00096752483,0.013610077,0.0002702485,0.0015102793],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968425,0.0010112341,0.0003473281,0.0009966583,0.0006573189,0.00014501273],"domain_scores_gemma":[0.9913231,0.004701853,0.0008724103,0.0010219626,0.001830707,0.00024996026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038077757,0.001812111,0.00085748883,0.0056518717,0.0011481019,0.0017065753,0.0026706834,0.0015621106,0.002325095],"category_scores_gemma":[0.010641707,0.0005875077,0.0016983697,0.004201506,0.0008304684,0.003002143,0.0018354729,0.0021774855,0.002578687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003695407,0.0006070289,0.006193593,0.0010678996,0.0002568476,0.00045947998,0.0017584095,0.04761277,0.019779785,0.009842055,0.02765651,0.88439614],"study_design_scores_gemma":[0.000056014043,0.00017724132,0.0022650594,0.00011302572,0.00006898333,0.00026120184,0.0005418247,0.94430876,0.008795933,0.027267974,0.016089939,0.00005419213],"about_ca_topic_score_codex":0.00616542,"about_ca_topic_score_gemma":0.0154586015,"teacher_disagreement_score":0.00616542,"about_ca_system_score_codex":0.001422443,"about_ca_system_score_gemma":0.0022216549,"threshold_uncertainty_score":0.020137668},"labels":[],"label_agreement":null},{"id":"W4413901755","doi":"10.1007/978-3-032-03873-9_7","title":"Generating AI Images for the OER Conversion Tool “ConvOERter”","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Computer graphics (images)","score_opus":0.010122538317208859,"score_gpt":0.24067385621057863,"score_spread":0.23055131789336977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413901755","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017136784,0.0002030042,0.8364251,0.00021731452,0.0003623083,0.0002453799,0.0020751914,0.050940163,0.092394784],"genre_scores_gemma":[0.12047196,0.00029328014,0.8063498,0.00022229084,0.0000693408,0.00023110778,0.0050268383,0.012773889,0.05456145],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998498,0.000011374096,0.0000065425415,0.000034212495,0.00007528341,0.000022711829],"domain_scores_gemma":[0.999759,0.00007956782,0.000009044588,0.000055852677,0.00008098687,0.000015510454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021909772,0.0010461176,0.00032004982,0.0011665729,0.0004038117,0.0010790162,0.0010496901,0.00068759324,0.07535632],"category_scores_gemma":[0.0007796643,0.00049430865,0.0006354592,0.0006219658,0.000296362,0.0008828044,0.0008375743,0.0007901908,0.018223647],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038782498,0.00014134872,0.0009452838,0.00063397054,0.00005614405,0.000720982,0.00036021965,0.010268413,0.14821135,0.024669401,0.10547247,0.70813257],"study_design_scores_gemma":[0.00013744066,0.00018875307,0.0029529298,0.00015536876,0.000077176745,0.0022330447,0.000370162,0.20080507,0.3481661,0.01959778,0.42518505,0.00013116068],"about_ca_topic_score_codex":0.0011939427,"about_ca_topic_score_gemma":0.0017023903,"teacher_disagreement_score":0.07535632,"about_ca_system_score_codex":0.00027815797,"about_ca_system_score_gemma":0.0002697583,"threshold_uncertainty_score":0.252092},"labels":[],"label_agreement":null},{"id":"W4413945294","doi":"10.1109/icra55743.2025.11127615","title":"Promi: an Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Thales (Canada)","funders":"","keywords":"Computer science; Baseline (sea); Minimum bounding box; Shot (pellet); Bounding overwatch; Segmentation; Artificial intelligence; Computer vision; Computer graphics (images); Image (mathematics); Geology","score_opus":0.012673450891373509,"score_gpt":0.28910953514945864,"score_spread":0.27643608425808514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413945294","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0112878755,0.0024784352,0.93774456,0.00022965354,0.00031408868,0.00029936302,0.0016795283,0.0432396,0.0027268415],"genre_scores_gemma":[0.0732304,0.00077410374,0.90162355,0.00044193226,0.0001436649,0.00046502354,0.0122400895,0.006395086,0.004686214],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725693,0.00038668688,0.00010815523,0.0011945843,0.00077167526,0.00028193468],"domain_scores_gemma":[0.9979511,0.00057630806,0.00013671366,0.0006792184,0.00050426007,0.00015240055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002756373,0.0032762683,0.003064049,0.00332218,0.001625719,0.0031998053,0.0064374227,0.003813099,0.00701321],"category_scores_gemma":[0.0076913144,0.0021187176,0.0019508027,0.0025708107,0.0011467799,0.0037610373,0.004218459,0.0038051195,0.008447017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014785209,0.0005345837,0.0018085061,0.0010565247,0.00043128387,0.000270484,0.00037282886,0.044587575,0.0683117,0.0061673047,0.0493513,0.8256294],"study_design_scores_gemma":[0.00013428171,0.00028285518,0.002038003,0.0001346902,0.00014192949,0.000905175,0.00016298698,0.8998852,0.04761286,0.014361216,0.034194723,0.00014612818],"about_ca_topic_score_codex":0.0093170125,"about_ca_topic_score_gemma":0.019324701,"teacher_disagreement_score":0.0093170125,"about_ca_system_score_codex":0.0015716718,"about_ca_system_score_gemma":0.002263875,"threshold_uncertainty_score":0.02346152},"labels":[],"label_agreement":null},{"id":"W4414348545","doi":"10.1109/tse.2025.3611329","title":"DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Science Foundation Ireland; General Motors Corporation","keywords":"Artificial neural network; Image (mathematics); Pattern recognition (psychology); Test (biology); Image processing; Differential (mechanical device)","score_opus":0.01220046323444045,"score_gpt":0.22245420945146246,"score_spread":0.210253746217022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414348545","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012034551,0.00013755448,0.97469145,0.0001331554,0.000058667913,0.000115994866,0.0003699989,0.01163716,0.0008215903],"genre_scores_gemma":[0.2945056,0.000082103266,0.69754815,0.00044168156,0.00008348875,0.0005985071,0.0021037224,0.0023490551,0.0022877117],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99753785,0.0011102307,0.00016265488,0.00042682592,0.00057483045,0.00018760211],"domain_scores_gemma":[0.9913775,0.0063035493,0.00030222084,0.00089921866,0.00095001963,0.00016751932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036135712,0.0017632374,0.00096826965,0.0018365765,0.0003821569,0.0008481131,0.003907755,0.0017869711,0.008573485],"category_scores_gemma":[0.01525741,0.00082630996,0.0013526903,0.0006572013,0.001112938,0.001775204,0.0022943649,0.002424213,0.0012929332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014090834,0.00035829755,0.0051954454,0.00052620494,0.00038688074,0.000658726,0.00016632678,0.3658089,0.02125873,0.026537936,0.019896965,0.55779654],"study_design_scores_gemma":[0.00007483416,0.000104620376,0.0002137623,0.000017169543,0.000019729969,0.000080216225,0.000010782693,0.97803986,0.008401519,0.012006849,0.0010188754,0.000011742762],"about_ca_topic_score_codex":0.0025218127,"about_ca_topic_score_gemma":0.0038356688,"teacher_disagreement_score":0.008573485,"about_ca_system_score_codex":0.0011338445,"about_ca_system_score_gemma":0.0015071399,"threshold_uncertainty_score":0.0286811},"labels":[],"label_agreement":null},{"id":"W4414675845","doi":"10.1016/j.autcon.2025.106562","title":"ControlNet-based domain adaptation for synthetic construction images via graphical simulation and generative AI","year":2025,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Hyperparameter; Synthetic data; Generative grammar; Artificial neural network; Adaptation (eye); Domain (mathematical analysis); Representation (politics); Architecture","score_opus":0.007687378988239925,"score_gpt":0.2659110875364778,"score_spread":0.2582237085482379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414675845","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031400204,0.00006669622,0.96035075,0.00009077184,0.000035103098,0.00003837376,0.0000518613,0.0018818468,0.0060845087],"genre_scores_gemma":[0.87833714,0.00007135383,0.11802672,0.00008035766,0.000013902916,0.000079975165,0.00016997609,0.00034384136,0.0028767306],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997924,0.00005445977,0.0000073790284,0.000055507735,0.00006069635,0.000029577373],"domain_scores_gemma":[0.99950254,0.00027561217,0.00003107158,0.00007684601,0.00008763627,0.000026239608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047206294,0.000577677,0.0005758086,0.0006303038,0.00029756894,0.00073704775,0.00094167027,0.0007411032,0.0035427795],"category_scores_gemma":[0.0016211964,0.00033935404,0.00063171017,0.0004040011,0.0007590251,0.0006233363,0.0010540482,0.0007782788,0.0005014486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072573894,0.000039604696,0.00027636052,0.000030212474,0.000019222138,0.000057967387,0.00006520407,0.945081,0.0049210642,0.007398299,0.0005599902,0.041478403],"study_design_scores_gemma":[0.0000018938343,0.0000041395847,0.000024669054,0.0000012295288,0.0000014061386,0.0000056104273,0.0000031132085,0.9980332,0.0005916921,0.0011652032,0.00016638143,0.0000014409841],"about_ca_topic_score_codex":0.006285615,"about_ca_topic_score_gemma":0.0061688423,"teacher_disagreement_score":0.006285615,"about_ca_system_score_codex":0.0006214698,"about_ca_system_score_gemma":0.000565664,"threshold_uncertainty_score":0.012498021},"labels":[],"label_agreement":null},{"id":"W4414685082","doi":"","title":"A Study of Structured/Semantic Data Extraction from Mechanical Engineering Drawings","year":2025,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"AXYS Technologies (Canada)","funders":"","keywords":"Bridge (graph theory); Technical drawing; Data extraction; Reverse engineering; Information extraction; Raw data; Interpretation (philosophy); Data management","score_opus":0.018686721554123605,"score_gpt":0.25245711859396575,"score_spread":0.23377039703984215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414685082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.179309,0.0051832814,0.7884902,0.0020140626,0.00018367084,0.00050596526,0.004447557,0.002085582,0.017780738],"genre_scores_gemma":[0.2708508,0.0035470976,0.7113996,0.00017793903,0.00009133749,0.00026679464,0.008673362,0.00033106504,0.004661994],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99699664,0.0010313188,0.00026683143,0.0005956686,0.0009940842,0.0001154917],"domain_scores_gemma":[0.9880271,0.008437787,0.0008217763,0.0012406458,0.0013548626,0.00011785807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027786475,0.0006045417,0.00043432918,0.0044906586,0.0007279425,0.0026843282,0.0012355879,0.0011770782,0.0021212576],"category_scores_gemma":[0.015166696,0.0004936951,0.0007833432,0.007842777,0.0014394596,0.004051843,0.0011391084,0.001126576,0.00090259925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023962933,0.00032723256,0.008927065,0.0021893356,0.000105506966,0.0010532561,0.0020351405,0.038405344,0.018767323,0.06931753,0.014466494,0.84416616],"study_design_scores_gemma":[0.000064097076,0.00032562765,0.026659494,0.0009312939,0.00012624949,0.0021278795,0.003984647,0.60998076,0.0820644,0.09555787,0.17803042,0.00014729575],"about_ca_topic_score_codex":0.0036881086,"about_ca_topic_score_gemma":0.004262592,"teacher_disagreement_score":0.0044906586,"about_ca_system_score_codex":0.0010531754,"about_ca_system_score_gemma":0.0011727314,"threshold_uncertainty_score":0.014695048},"labels":[],"label_agreement":null},{"id":"W4415489427","doi":"10.3390/h14110210","title":"Curating Archaeological Provenience Data Across Excavation Recording Formats","year":2025,"lang":"en","type":"article","venue":"Humanities","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Loeb Classical Library Foundation; University of Missouri; Institute of Museum and Library Services","keywords":"Excavation; Citizen journalism; Digital data; Provenance; Archaeological record; Field (mathematics); Data integration; Work (physics)","score_opus":0.10363082099333609,"score_gpt":0.3398077326815739,"score_spread":0.2361769116882378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415489427","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69222456,0.0026377363,0.21548143,0.0113093145,0.00042329097,0.0023732237,0.0053604227,0.001782509,0.06840747],"genre_scores_gemma":[0.79929674,0.0017767398,0.18506226,0.001106854,0.00017634915,0.0010899545,0.0030003854,0.0014978674,0.0069928737],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9617203,0.016961178,0.0034800582,0.0061401757,0.009951188,0.0017470918],"domain_scores_gemma":[0.8465818,0.08977005,0.01102024,0.03405998,0.017330056,0.0012378755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04853429,0.0008620199,0.000834813,0.009025455,0.006884094,0.018401736,0.003279309,0.0016614683,0.0025502162],"category_scores_gemma":[0.14748786,0.00087658624,0.00073097897,0.01242275,0.009786708,0.015413577,0.017465374,0.0027506133,0.0011099686],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010278862,0.00010926067,0.027395377,0.0014790561,0.000055187884,0.0010521625,0.7019811,0.0005712756,0.007902296,0.017755488,0.004137168,0.23745883],"study_design_scores_gemma":[0.000040937186,0.00016359436,0.039539892,0.0039079417,0.00018216102,0.0018847525,0.5925437,0.0019219673,0.020550102,0.036156263,0.3028937,0.00021491741],"about_ca_topic_score_codex":0.008520426,"about_ca_topic_score_gemma":0.017785728,"teacher_disagreement_score":0.04853429,"about_ca_system_score_codex":0.004151137,"about_ca_system_score_gemma":0.009124987,"threshold_uncertainty_score":0.2566769},"labels":[],"label_agreement":null},{"id":"W4415954695","doi":"10.1145/3760678.3760686","title":"Fragments Adjacency Prediction: A Contour Based Approach Using Transformer Models with Rotary Positional Encoding","year":2025,"lang":"","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adjacency list; Scalability; Fragment (logic); Robustness (evolution); Pairwise comparison; Encoding (memory); Deep learning; Pattern recognition (psychology); Synthetic data","score_opus":0.022167250405230012,"score_gpt":0.2358542568139025,"score_spread":0.2136870064086725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415954695","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03310066,0.00014886905,0.9625735,0.00015886716,0.00003147348,0.000044223194,0.00037232687,0.0016624609,0.001907561],"genre_scores_gemma":[0.68743724,0.0003273242,0.30447814,0.00023873828,0.00005149864,0.00011402277,0.002109368,0.0003232716,0.00492046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997812,0.000024849305,0.000009929087,0.00008523977,0.00006756952,0.000031320364],"domain_scores_gemma":[0.99951744,0.00015678193,0.00007270762,0.00009301735,0.00012629588,0.000033774217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038059175,0.00081115874,0.0005200194,0.0012971812,0.00030344806,0.0008981485,0.0018401046,0.00077574136,0.0029807352],"category_scores_gemma":[0.0018490427,0.0004287057,0.00066494936,0.001183283,0.0005262553,0.0020281544,0.0010849119,0.001037183,0.0010967155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022785601,0.0001333836,0.0039577717,0.00008035652,0.000063606174,0.00016755854,0.00009776912,0.6324375,0.012926761,0.010685524,0.0047180094,0.33450383],"study_design_scores_gemma":[0.000002329569,0.000011347974,0.00014312312,0.000003177179,0.0000050085578,0.000019985666,0.000008085203,0.9958948,0.0012173508,0.002371531,0.000319667,0.000003638425],"about_ca_topic_score_codex":0.008043511,"about_ca_topic_score_gemma":0.012334712,"teacher_disagreement_score":0.008043511,"about_ca_system_score_codex":0.0007756559,"about_ca_system_score_gemma":0.0008607891,"threshold_uncertainty_score":0.015993357},"labels":[],"label_agreement":null},{"id":"W4416416446","doi":"10.3897/jucs.129768","title":"Genetic-based square jigsaw puzzle solver using the&amp;nbsp;combined color+texture compatibility criterion","year":2025,"lang":"en","type":"article","venue":"JUCS - Journal of Universal Computer Science","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Jigsaw; Colored; Discriminator; Solver; Square (algebra); Pattern recognition (psychology)","score_opus":0.017289038054240133,"score_gpt":0.2709514366980822,"score_spread":0.25366239864384205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416416446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0574254,0.0003347098,0.9303683,0.00040497628,0.00014719585,0.00018590911,0.00022143041,0.0023270873,0.008584934],"genre_scores_gemma":[0.26655242,0.00013383354,0.7246682,0.0004030707,0.00004307247,0.00026710096,0.0006799211,0.00028950282,0.0069628237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996176,0.00007435933,0.000025092695,0.00011245368,0.00011909724,0.00005139346],"domain_scores_gemma":[0.9993851,0.00029774584,0.000047415422,0.00006030716,0.00016720545,0.000042255968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006041109,0.0013066386,0.0011146038,0.00084793335,0.0004808316,0.00082952005,0.0015260384,0.0015330316,0.004290434],"category_scores_gemma":[0.0019841536,0.0004178432,0.0009862403,0.0006956009,0.00050331926,0.00072431273,0.0008400865,0.0009523814,0.0007850695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015554755,0.0001495384,0.0029588356,0.00017931608,0.00010240944,0.00025098227,0.000121358404,0.65333617,0.010976226,0.009579334,0.006696506,0.31549376],"study_design_scores_gemma":[0.000023703447,0.000033257547,0.00014746559,0.000007440909,0.00001014713,0.000037926366,0.000019844714,0.9962895,0.001046863,0.0012991732,0.0010790963,0.000005630444],"about_ca_topic_score_codex":0.011229737,"about_ca_topic_score_gemma":0.011876063,"teacher_disagreement_score":0.011229737,"about_ca_system_score_codex":0.0006569004,"about_ca_system_score_gemma":0.0017709184,"threshold_uncertainty_score":0.022328734},"labels":[],"label_agreement":null},{"id":"W4417251381","doi":"10.64628/aam.n6d6jqq73","title":"Jigsaw puzzles help make mathematics learning more active and fun","year":2025,"lang":"","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Jigsaw; Active learning (machine learning); Experiential learning; Set (abstract data type)","score_opus":0.009514688199872971,"score_gpt":0.2538646177649026,"score_spread":0.24434992956502963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417251381","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12202197,0.004140237,0.600288,0.02305731,0.005128569,0.00040360136,0.0009040564,0.011409535,0.23264675],"genre_scores_gemma":[0.3379146,0.0030692702,0.49947104,0.0033038433,0.0010741128,0.00041389337,0.001312436,0.0030837464,0.15035711],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994536,0.00010590696,0.000029649293,0.00011371894,0.00024573694,0.000051312945],"domain_scores_gemma":[0.99745685,0.00091979443,0.00026316277,0.0004926705,0.00040668817,0.0004608913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080375647,0.0014303344,0.0006103392,0.0012160798,0.0010501107,0.0026786905,0.0014629464,0.0015422204,0.053552687],"category_scores_gemma":[0.0089846095,0.00046904536,0.00085843663,0.0006232585,0.0014887333,0.006323526,0.0034470425,0.0027115857,0.013540929],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006269081,0.000743397,0.004602628,0.001343182,0.00017982813,0.0008471654,0.0045929947,0.0072907293,0.03847506,0.15055443,0.15716909,0.63357466],"study_design_scores_gemma":[0.00021009352,0.00044904277,0.0071394243,0.00058290176,0.00012370282,0.0013749702,0.002037633,0.016858263,0.013575071,0.3792285,0.578297,0.00012338083],"about_ca_topic_score_codex":0.00024732435,"about_ca_topic_score_gemma":0.0006412297,"teacher_disagreement_score":0.053552687,"about_ca_system_score_codex":0.00029465498,"about_ca_system_score_gemma":0.00047789802,"threshold_uncertainty_score":0.1791516},"labels":[],"label_agreement":null},{"id":"W576861129","doi":"","title":"Proceedings : 16th International Conference on Pattern Recognition, August 11-15, 2002, Québec City, QC, Canada","year":2002,"lang":"en","type":"book","venue":"IEEE Computer Society eBooks","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Geography; Political science; Cartography; Computer science","score_opus":0.03063033885986043,"score_gpt":0.21572332227470234,"score_spread":0.1850929834148419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W576861129","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02824475,0.05113943,0.28428853,0.009768361,0.03174128,0.0012317831,0.021663923,0.025619257,0.5463027],"genre_scores_gemma":[0.014551379,0.009823492,0.031743925,0.000602259,0.0004051889,0.00010613065,0.0122713875,0.0010060603,0.9294902],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956447,0.00004530811,0.000017932109,0.00007235266,0.00020023806,0.000099748075],"domain_scores_gemma":[0.9988549,0.000065253334,0.0000118972375,0.00009021818,0.0008633232,0.000114451774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011023402,0.0020808221,0.0015327206,0.0012860855,0.0014893827,0.0036383315,0.0016621747,0.0010439215,0.17850283],"category_scores_gemma":[0.0010588745,0.0004953383,0.00065219216,0.0018694451,0.000687782,0.0012684839,0.0006538283,0.0012854114,0.09479347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011503385,0.00009861537,0.00084367295,0.00012572698,0.000036550202,0.00008170841,0.00006905781,0.00052767264,0.0035819649,0.00111342,0.72564244,0.26776418],"study_design_scores_gemma":[0.00004588456,0.000100059595,0.007931503,0.00014905226,0.00009901628,0.0003511982,0.0003702204,0.010270336,0.004709532,0.0019946662,0.9739226,0.000055867524],"about_ca_topic_score_codex":0.44030786,"about_ca_topic_score_gemma":0.64863074,"teacher_disagreement_score":0.44030786,"about_ca_system_score_codex":0.002465016,"about_ca_system_score_gemma":0.005705918,"threshold_uncertainty_score":0.87548995},"labels":[],"label_agreement":null},{"id":"W620156332","doi":"","title":"Explanation of Quarter Sheet 91 S. W. of the One-Inch Geological Survey Map of England and Wales, Illustrating the Geology of the Country Around Blackpool, Poulton, and Fleetwood","year":2018,"lang":"en","type":"book","venue":"Medical Entomology and Zoology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); New england; Geology; Geological survey; Archaeology; Geography; Paleontology; Political science","score_opus":0.012381510420478331,"score_gpt":0.22814093759652343,"score_spread":0.2157594271760451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W620156332","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048444586,0.0032311657,0.0064991736,0.004984978,0.008224415,0.00018614814,0.014759387,0.0022784402,0.9593517],"genre_scores_gemma":[0.0010743146,0.0007390557,0.0012693191,0.0005947998,0.00030641333,0.00005135734,0.0034389182,0.00055324135,0.99197257],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998518,0.000016684135,0.0000069534162,0.000020651687,0.00008841163,0.000015481286],"domain_scores_gemma":[0.99935,0.00011770334,0.000023948418,0.000043505737,0.0004109626,0.000053790347],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025751785,0.00092098856,0.0004722137,0.0013337535,0.0007925882,0.0016597299,0.00086404243,0.0009432134,0.5778519],"category_scores_gemma":[0.001762654,0.00046502572,0.0003042934,0.0016529441,0.00037181284,0.0022259187,0.00070906937,0.0012614568,0.41743997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062685676,0.000003454932,0.000020904574,0.00004373877,3.5841714e-7,0.0000182749,0.000030078165,0.0000626777,0.00007136152,0.0027482007,0.97980267,0.017191937],"study_design_scores_gemma":[0.0000013052324,0.000002904688,0.000105568884,0.0000265077,3.1260282e-7,0.000045394783,0.000028475491,0.00003942711,0.000026149452,0.0007447811,0.9989774,0.0000018724571],"about_ca_topic_score_codex":0.010902661,"about_ca_topic_score_gemma":0.027275965,"teacher_disagreement_score":0.5778519,"about_ca_system_score_codex":0.0007722681,"about_ca_system_score_gemma":0.0008547942,"threshold_uncertainty_score":0.60214305},"labels":[],"label_agreement":null},{"id":"W6887481747","doi":"10.17026/ar/incdez","title":"Romeinse weg","year":2024,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Frith; ROUGE; Lower house","score_opus":0.032912489048597934,"score_gpt":0.30610596758364583,"score_spread":0.2731934785350479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887481747","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005612961,0.005189643,0.000860867,0.02276846,0.004410813,0.00005086711,0.0009223872,0.00032727298,0.9598567],"genre_scores_gemma":[0.030627485,0.0016676624,0.00067327113,0.0043034856,0.0004880228,0.000048775084,0.00082124723,0.0002886395,0.9610813],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825364,0.00027693715,0.000057589972,0.00035370878,0.0005184778,0.0005396337],"domain_scores_gemma":[0.9992874,0.0000761491,0.000052361178,0.00008821345,0.00014140863,0.0003544653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010888505,0.0007344458,0.0003861521,0.0010209219,0.0057239747,0.007401182,0.00078102737,0.0027873206,0.20925246],"category_scores_gemma":[0.002323955,0.0003376197,0.0004801482,0.0009960732,0.0027157485,0.0038076832,0.006613046,0.004020593,0.07861026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008850618,0.00004296757,0.0012691033,0.00021285638,0.000008247397,0.00068000914,0.00553739,0.00007455236,0.0006051046,0.2685352,0.6416821,0.08126403],"study_design_scores_gemma":[0.0000015260234,0.0000038955327,0.000269358,0.000038038186,7.7629784e-7,0.000056132467,0.00042149087,0.0000036863387,0.000047017274,0.0010073817,0.9981477,0.0000030351723],"about_ca_topic_score_codex":0.015816439,"about_ca_topic_score_gemma":0.04135935,"teacher_disagreement_score":0.20925246,"about_ca_system_score_codex":0.0043668887,"about_ca_system_score_gemma":0.0053083943,"threshold_uncertainty_score":0.70001924},"labels":[],"label_agreement":null},{"id":"W6887494606","doi":"10.17026/ar/ppobcf","title":"Pottenbakken in de Broekpolder","year":2024,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Context (archaeology); Parchment; Hippopotamus","score_opus":0.028643994714085082,"score_gpt":0.3118433003159548,"score_spread":0.28319930560186973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887494606","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008006984,0.0007251539,0.0016405492,0.00046114184,0.00026443534,0.00009476528,0.97810966,0.0018382121,0.008859037],"genre_scores_gemma":[0.006580687,0.00024669882,0.00293378,0.00008824734,0.00002275701,0.00020994322,0.98495126,0.00026987697,0.004696804],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99783045,0.00034848382,0.00026578727,0.0006513114,0.0006176675,0.00028632014],"domain_scores_gemma":[0.99745804,0.0006084584,0.00020643203,0.0008238003,0.0007320825,0.00017115024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012958711,0.0015019965,0.0012480839,0.0025252323,0.0012569028,0.0025622733,0.0018187924,0.0016599441,0.020704383],"category_scores_gemma":[0.0052479794,0.0006373215,0.001230986,0.0051500276,0.000884713,0.0019712697,0.0018269897,0.0017115867,0.028468827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005405844,0.00012627289,0.00957468,0.0018826944,0.00008665045,0.00020310908,0.000467581,0.0013771375,0.0019973803,0.0027163413,0.95371073,0.027316809],"study_design_scores_gemma":[0.00007836093,0.000030081712,0.015567103,0.00022197339,0.000034988498,0.00011185477,0.0006554225,0.00089213153,0.0021167449,0.0020106132,0.9782347,0.000045994282],"about_ca_topic_score_codex":0.03905188,"about_ca_topic_score_gemma":0.11526037,"teacher_disagreement_score":0.03905188,"about_ca_system_score_codex":0.0017124752,"about_ca_system_score_gemma":0.0021734445,"threshold_uncertainty_score":0.077649176},"labels":[],"label_agreement":null},{"id":"W6892533868","doi":"10.5281/zenodo.10681567","title":"Survey Planning, Allocation, Costing and Evaluation (SPACE) Project: Developing a Tool to Help Archaeologists Conduct More Effective Surveys","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Community College; University of Toronto","funders":"","keywords":"Activity-based costing; Quality (philosophy); Software; Sample (material); Modular design; Space (punctuation); Transect","score_opus":0.08557571398971177,"score_gpt":0.3393959082858087,"score_spread":0.2538201942960969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892533868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023978334,0.00037003617,0.93352336,0.0008627587,0.0001330391,0.0013468976,0.0023413384,0.03171984,0.005724525],"genre_scores_gemma":[0.07192389,0.00021571992,0.91538835,0.00018713888,0.00005888271,0.0013530205,0.0019505973,0.0031734807,0.0057488456],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933055,0.0037326617,0.00029896153,0.00067465444,0.0015271261,0.00046099687],"domain_scores_gemma":[0.9836444,0.0072759073,0.0013220188,0.0031651675,0.0034233755,0.0011691045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014563725,0.0015814864,0.0010427997,0.0026284007,0.0009988262,0.0030091314,0.0015974279,0.0016283093,0.011955515],"category_scores_gemma":[0.017977756,0.0010561147,0.0009180637,0.0019621348,0.0020132735,0.004392599,0.0034947512,0.0014678492,0.004450228],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012607394,0.0007467953,0.008354719,0.000798592,0.00018147871,0.0003532304,0.0025482846,0.05628893,0.024246382,0.028091056,0.06432227,0.8128075],"study_design_scores_gemma":[0.0011989418,0.004076532,0.018191626,0.0006074288,0.00020338698,0.0011281065,0.0024399853,0.4101279,0.09562205,0.06419304,0.4016593,0.00055168394],"about_ca_topic_score_codex":0.0039260667,"about_ca_topic_score_gemma":0.0027599458,"teacher_disagreement_score":0.014563725,"about_ca_system_score_codex":0.0014268679,"about_ca_system_score_gemma":0.0050123124,"threshold_uncertainty_score":0.07702124},"labels":[],"label_agreement":null},{"id":"W6892624413","doi":"10.5281/zenodo.10961314","title":"Survey Planning, Allocation, Costing and Evaluation (SPACE) Project: Developing a Tool to Help Archaeologists Conduct More Effective Surveys","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Community College; University of Toronto","funders":"","keywords":"Activity-based costing; Quality (philosophy); Software; Sample (material); Modular design; Space (punctuation); Transect","score_opus":0.08557571398971177,"score_gpt":0.3393959082858087,"score_spread":0.2538201942960969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892624413","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023978334,0.00037003617,0.93352336,0.0008627587,0.0001330391,0.0013468976,0.0023413384,0.03171984,0.005724525],"genre_scores_gemma":[0.07192389,0.00021571992,0.91538835,0.00018713888,0.00005888271,0.0013530205,0.0019505973,0.0031734807,0.0057488456],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9933055,0.0037326617,0.00029896153,0.00067465444,0.0015271261,0.00046099687],"domain_scores_gemma":[0.9836444,0.0072759073,0.0013220188,0.0031651675,0.0034233755,0.0011691045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014563725,0.0015814864,0.0010427997,0.0026284007,0.0009988262,0.0030091314,0.0015974279,0.0016283093,0.011955515],"category_scores_gemma":[0.017977756,0.0010561147,0.0009180637,0.0019621348,0.0020132735,0.004392599,0.0034947512,0.0014678492,0.004450228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012607394,0.0007467953,0.008354719,0.000798592,0.00018147871,0.0003532304,0.0025482846,0.05628893,0.024246382,0.028091056,0.06432227,0.8128075],"study_design_scores_gemma":[0.0011989418,0.004076532,0.018191626,0.0006074288,0.00020338698,0.0011281065,0.0024399853,0.4101279,0.09562205,0.06419304,0.4016593,0.00055168394],"about_ca_topic_score_codex":0.0039260667,"about_ca_topic_score_gemma":0.0027599458,"teacher_disagreement_score":0.014563725,"about_ca_system_score_codex":0.0014268679,"about_ca_system_score_gemma":0.0050123124,"threshold_uncertainty_score":0.07702124},"labels":[],"label_agreement":null},{"id":"W6894066020","doi":"10.5281/zenodo.8060925","title":"ARIADNEplus Data Aggregation Pipeline: User Guide","year":2022,"lang":"en","type":"article","venue":"ISTI Open Portal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prairie Improvement Network","funders":"Horizon 2020 Framework Programme","keywords":"Data aggregator; Process (computing); Upload; Data collection; Aggregate (composite); Field (mathematics)","score_opus":0.038651238122190304,"score_gpt":0.3112313933140338,"score_spread":0.27258015519184353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894066020","genre_codex":"software","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016922595,0.0007727288,0.13810635,0.00081631687,0.00047304985,0.001446252,0.2875558,0.50516725,0.063969985],"genre_scores_gemma":[0.013059426,0.0013923552,0.20816559,0.0026406893,0.00035878055,0.003487113,0.49676105,0.18076116,0.09337383],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988141,0.00013724329,0.0001282779,0.00017454111,0.00061874656,0.0001271418],"domain_scores_gemma":[0.99635506,0.0009476023,0.00013219687,0.00077959325,0.0015375561,0.00024805526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029391607,0.0018831169,0.0012197887,0.003860678,0.00094564917,0.00445602,0.0027686332,0.0011074471,0.27295095],"category_scores_gemma":[0.009721376,0.0019015743,0.001349818,0.003930429,0.0003984939,0.0040767845,0.003985801,0.0023413238,0.26017544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018858601,0.00003845696,0.0005917607,0.00038949391,0.00002690067,0.00008701889,0.00014562141,0.00041841908,0.001503002,0.0017944833,0.954569,0.04024723],"study_design_scores_gemma":[0.00008689218,0.000018671153,0.0011385623,0.00013515037,0.00001640367,0.0001604407,0.00008165941,0.0027150065,0.003257023,0.0030435787,0.9892681,0.000078484445],"about_ca_topic_score_codex":0.009574898,"about_ca_topic_score_gemma":0.012092864,"teacher_disagreement_score":0.27295095,"about_ca_system_score_codex":0.0010321519,"about_ca_system_score_gemma":0.001678312,"threshold_uncertainty_score":0.91311187},"labels":[],"label_agreement":null},{"id":"W6894158633","doi":"10.5281/zenodo.8060924","title":"ARIADNEplus Data Aggregation Pipeline: User Guide","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prairie Improvement Network","funders":"Horizon 2020 Framework Programme","keywords":"Data aggregator; Process (computing); Upload; Data collection; Aggregate (composite); Field (mathematics)","score_opus":0.04259338973832262,"score_gpt":0.26067918576896043,"score_spread":0.21808579603063782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894158633","genre_codex":"software","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00175139,0.00089011365,0.148299,0.00070176064,0.000426878,0.0010331025,0.23671694,0.5639368,0.04624401],"genre_scores_gemma":[0.015201077,0.0015492415,0.19192928,0.002530456,0.0003608617,0.0029642684,0.48418495,0.22432925,0.07695061],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989197,0.00012492032,0.00011982531,0.00016541302,0.00054713443,0.00012304603],"domain_scores_gemma":[0.9972963,0.00066948077,0.00010230866,0.00061379524,0.0011381042,0.00018000239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025218045,0.0021239654,0.001275673,0.0034288152,0.00087883964,0.0042721415,0.003069986,0.0012440189,0.25615963],"category_scores_gemma":[0.007698812,0.0020721704,0.0014675851,0.003447965,0.0003828039,0.003693944,0.003590244,0.0025181726,0.24293776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002439353,0.000038001777,0.0005639348,0.00042795998,0.00003739321,0.000109068285,0.00013730432,0.0005909287,0.0021414554,0.0020866424,0.9541683,0.039455093],"study_design_scores_gemma":[0.00012115836,0.000020473573,0.0010418664,0.00012748856,0.000020626889,0.00021986995,0.00006888967,0.0038705082,0.004635269,0.0036466394,0.98613304,0.000094122224],"about_ca_topic_score_codex":0.008891729,"about_ca_topic_score_gemma":0.009644172,"teacher_disagreement_score":0.25615963,"about_ca_system_score_codex":0.0010829732,"about_ca_system_score_gemma":0.001514056,"threshold_uncertainty_score":0.8569393},"labels":[],"label_agreement":null},{"id":"W6906128077","doi":"10.17026/ar/btwfya","title":"IJzertijd voorraadpot AVKP klaar voor het publiek","year":2024,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"SOCKS; Townsend; Soliloquy","score_opus":0.03716007756428094,"score_gpt":0.3042335360552786,"score_spread":0.2670734584909976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906128077","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016771348,0.041439556,0.011009965,0.047432818,0.032360718,0.0006256342,0.01725116,0.0033495899,0.82975924],"genre_scores_gemma":[0.037942182,0.025104692,0.007426154,0.004173395,0.0032709683,0.00037922716,0.009468053,0.0035331615,0.9087022],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9892068,0.001651419,0.00064651313,0.0011803104,0.006043555,0.0012714444],"domain_scores_gemma":[0.9869812,0.0022712399,0.0009476559,0.0017988597,0.00481269,0.003188386],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0062794313,0.0012433485,0.001172546,0.0041171825,0.0041491,0.021893527,0.0018359929,0.003172404,0.3268798],"category_scores_gemma":[0.01623488,0.0009242839,0.0012272034,0.0053684725,0.0027792475,0.010614195,0.01102531,0.0060943463,0.1695091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027893778,0.00016385072,0.0018233767,0.0023053586,0.00006374439,0.00050548307,0.004372627,0.00030630326,0.0041365237,0.039838422,0.7043169,0.24188846],"study_design_scores_gemma":[0.0000051808374,0.000014842761,0.0008276464,0.00030299727,0.000008803601,0.00008304445,0.00076422136,0.000024435685,0.00046696182,0.000898412,0.99658966,0.000013719745],"about_ca_topic_score_codex":0.015988668,"about_ca_topic_score_gemma":0.021721821,"teacher_disagreement_score":0.3268798,"about_ca_system_score_codex":0.005854644,"about_ca_system_score_gemma":0.014814435,"threshold_uncertainty_score":0.96012425},"labels":[],"label_agreement":null},{"id":"W6906159847","doi":"10.17026/ar/q0in4j","title":"AWN-opgraving Katwijk","year":2024,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Rural development; Open air","score_opus":0.034049882621111686,"score_gpt":0.31108396753580464,"score_spread":0.27703408491469295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906159847","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020781085,0.004635098,0.0032772894,0.01010753,0.013113729,0.00060523936,0.009431674,0.0008754303,0.93717283],"genre_scores_gemma":[0.016866714,0.0013656802,0.0014218906,0.0008430278,0.0003496124,0.00017767768,0.0032095034,0.0004634467,0.9753025],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968923,0.00052308454,0.00019754827,0.00046234086,0.0011810116,0.0007438322],"domain_scores_gemma":[0.9977068,0.00027569378,0.0001363035,0.00029876773,0.0007519322,0.00083058333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024608357,0.0008198188,0.0006042145,0.001409963,0.0059525985,0.0080953,0.001300496,0.0021728552,0.2854167],"category_scores_gemma":[0.0055359257,0.0007453628,0.0007273687,0.001943074,0.0014054867,0.0036952046,0.0066285324,0.0036374915,0.12832487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027630938,0.00014343302,0.0030214547,0.0004582644,0.00002051872,0.0007492903,0.007220335,0.00020961314,0.001873057,0.06382904,0.7920566,0.13014212],"study_design_scores_gemma":[0.000002545031,0.000006790323,0.0008924997,0.000050952836,0.0000017080453,0.000045116358,0.0008903645,0.000014696725,0.00017161816,0.000560994,0.9973552,0.0000074317754],"about_ca_topic_score_codex":0.032442387,"about_ca_topic_score_gemma":0.08195085,"teacher_disagreement_score":0.2854167,"about_ca_system_score_codex":0.004719386,"about_ca_system_score_gemma":0.009661129,"threshold_uncertainty_score":0.95481396},"labels":[],"label_agreement":null},{"id":"W6906218090","doi":"10.17026/ar/3dj0ne","title":"Op zoek naar Hamaland","year":2024,"lang":"nl","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Quarter (Canadian coin); Donkey; Significant difference","score_opus":0.014585950422872536,"score_gpt":0.2512608234339476,"score_spread":0.2366748730110751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906218090","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034919888,0.014132015,0.0021135283,0.00950145,0.0017663578,0.00008974378,0.005958923,0.00071136246,0.9308067],"genre_scores_gemma":[0.08446883,0.0064421752,0.0019873427,0.0014478205,0.0001951369,0.00008027021,0.004235536,0.00033525008,0.9008076],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994978,0.000047854446,0.00002232564,0.00013472432,0.00014597642,0.00015142132],"domain_scores_gemma":[0.9997619,0.00004084613,0.000030219324,0.000023536022,0.000073365656,0.00007001915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033731872,0.0005080272,0.00054725754,0.0008600627,0.0026852782,0.004520801,0.0007556947,0.001399681,0.22206715],"category_scores_gemma":[0.00092489517,0.00039362645,0.00038609654,0.0018711204,0.001562333,0.001602799,0.0020317151,0.0011934055,0.04611447],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053524657,0.00012934877,0.010142901,0.0017354473,0.00008947355,0.0036844925,0.011478458,0.0003195541,0.006691897,0.14831339,0.3941575,0.42272222],"study_design_scores_gemma":[0.000010173014,0.00000996943,0.0042563872,0.00011811064,0.000008993858,0.00020729694,0.0017016174,0.00001564638,0.00023698813,0.00097142014,0.9924549,0.000008370439],"about_ca_topic_score_codex":0.18558255,"about_ca_topic_score_gemma":0.29633135,"teacher_disagreement_score":0.22206715,"about_ca_system_score_codex":0.003814389,"about_ca_system_score_gemma":0.006004199,"threshold_uncertainty_score":0.7428886},"labels":[],"label_agreement":null},{"id":"W6906280066","doi":"10.17026/dans-xy8-9exm","title":"Transect-rapport 858: Een inventariserend veldonderzoek door middel van proefsleuven. Honselersdijk, Trade Parc Westland, Mars zone 2, gemeente Westland (ZH).","year":2019,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Guitar; George (robot)","score_opus":0.05830211327360147,"score_gpt":0.2863575236727921,"score_spread":0.22805541039919064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906280066","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2128452,0.0068868636,0.005394312,0.005898079,0.0016644149,0.00055638637,0.031254917,0.0004071367,0.73509264],"genre_scores_gemma":[0.21222708,0.0018860266,0.008387477,0.0013378166,0.000116524585,0.00037703285,0.015194008,0.00058277155,0.7598913],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993449,0.00014460312,0.000032224845,0.00016235358,0.00021211179,0.00010397468],"domain_scores_gemma":[0.99906176,0.00017935374,0.00007578695,0.00011731207,0.00036212004,0.00020367253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009945765,0.00035678607,0.0001612308,0.0011005423,0.002246388,0.0016120794,0.0006751669,0.00075505115,0.054907154],"category_scores_gemma":[0.0014473923,0.00039861415,0.00021872766,0.001786573,0.0008527474,0.0012468506,0.0019515109,0.0013498977,0.008529055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080197817,0.00015692749,0.047465023,0.0013562809,0.00006436984,0.0041590505,0.095359676,0.00040120806,0.013581694,0.037098058,0.43657625,0.3629796],"study_design_scores_gemma":[0.0000060764182,0.00005205594,0.03404197,0.00014032751,0.000010303091,0.00031396115,0.011310787,0.000042009542,0.0011534339,0.00053957134,0.9523757,0.000013831836],"about_ca_topic_score_codex":0.13189088,"about_ca_topic_score_gemma":0.41541752,"teacher_disagreement_score":0.13189088,"about_ca_system_score_codex":0.0022503007,"about_ca_system_score_gemma":0.0036334433,"threshold_uncertainty_score":0.26224643},"labels":[],"label_agreement":null},{"id":"W6906288744","doi":"10.17026/ar/vzueyo","title":"Eindrapportage archeologisch vooronderzoek (22382.001) Vossen 20 te Nieuw-Milligen","year":2024,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Officer; Context (archaeology)","score_opus":0.040724650507332774,"score_gpt":0.30946935691206245,"score_spread":0.2687447064047297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906288744","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12753539,0.008696777,0.011360045,0.0030906848,0.0035648942,0.0005174097,0.1757083,0.0022189228,0.6673076],"genre_scores_gemma":[0.09607833,0.0046546105,0.00891935,0.00039657377,0.00025325955,0.00025409783,0.060584083,0.0014387291,0.8274209],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994363,0.000044965833,0.00002808563,0.00013534122,0.00025317067,0.000102113096],"domain_scores_gemma":[0.9995509,0.000047019872,0.000055095137,0.00007385711,0.00018880535,0.0000843469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071126386,0.00051104353,0.0005554217,0.003061837,0.002179738,0.0035570087,0.00060558633,0.001055467,0.14088932],"category_scores_gemma":[0.0011498864,0.00061924965,0.000461285,0.0049232068,0.0006769784,0.00093699,0.0024256583,0.0012709408,0.051429097],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012273334,0.00019289098,0.0339874,0.001164512,0.00012096104,0.0014123739,0.005433162,0.0009990457,0.027521621,0.028921837,0.38498634,0.51403254],"study_design_scores_gemma":[0.000010146166,0.00001973042,0.025657685,0.000059567814,0.000014521878,0.00011831165,0.0006242784,0.00007340927,0.001456732,0.0007071186,0.9712433,0.000015141462],"about_ca_topic_score_codex":0.10732524,"about_ca_topic_score_gemma":0.22262354,"teacher_disagreement_score":0.14088932,"about_ca_system_score_codex":0.0019498393,"about_ca_system_score_gemma":0.0033879715,"threshold_uncertainty_score":0.4713217},"labels":[],"label_agreement":null},{"id":"W6906390774","doi":"10.17026/dans-zn4-pbqe","title":"Bureauonderzoek archeologie reconstructie fietspaden N272 Gemert-Boxmeer","year":2016,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bow Valley College","funders":"","keywords":"Period (music); Perspective (graphical); Subject (documents); Work (physics)","score_opus":0.06311931988958003,"score_gpt":0.32060102833163373,"score_spread":0.2574817084420537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906390774","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004576664,0.000092272385,0.00014208622,0.000060107122,0.00004178527,0.000012529067,0.9961994,0.00038747466,0.0026067586],"genre_scores_gemma":[0.00059120764,0.000053766118,0.0004500788,0.000010467044,0.000004746298,0.00003702229,0.9965411,0.00009944977,0.002212112],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989202,0.0000932667,0.00009113451,0.0002673238,0.00041776482,0.00021041401],"domain_scores_gemma":[0.9982152,0.00024630027,0.00015819495,0.0005161353,0.0006267385,0.00023746469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009533332,0.0017387733,0.0014725744,0.0032131989,0.001070436,0.0027029212,0.0019396426,0.0011964947,0.06356542],"category_scores_gemma":[0.003995683,0.00080974016,0.00082137296,0.0056666452,0.00059284834,0.0012456486,0.0022556742,0.001634706,0.09896518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007516629,0.000014882094,0.0009547335,0.00030778992,0.000014944218,0.00003072677,0.00006864212,0.00018473905,0.00032241468,0.00046582543,0.99268264,0.0048774597],"study_design_scores_gemma":[0.000052230207,0.000006463174,0.00570867,0.00014238579,0.000009680958,0.00004044229,0.00019338424,0.00017736292,0.00063507503,0.00051287416,0.9925052,0.00001641407],"about_ca_topic_score_codex":0.10012799,"about_ca_topic_score_gemma":0.23209362,"teacher_disagreement_score":0.10012799,"about_ca_system_score_codex":0.0018403569,"about_ca_system_score_gemma":0.0034501003,"threshold_uncertainty_score":0.2126475},"labels":[],"label_agreement":null},{"id":"W6906422641","doi":"10.17026/ar/psewkr","title":"Monumentale boerderij in Maarssen","year":2024,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Work (physics); Coronation; Construction industry","score_opus":0.028042956170197208,"score_gpt":0.30962065590699117,"score_spread":0.281577699736794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6906422641","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23370428,0.07735314,0.0023366055,0.04624501,0.003252947,0.000094764655,0.0029279483,0.0004272863,0.63365793],"genre_scores_gemma":[0.5499248,0.018202033,0.0016823595,0.0020867554,0.00036710486,0.00006547192,0.0016407976,0.00032403672,0.42570662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965312,0.0008413561,0.0001960218,0.00049108546,0.00091229274,0.0010279883],"domain_scores_gemma":[0.99872917,0.00020220356,0.00023564498,0.0001580242,0.00028680632,0.0003881692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015534452,0.0006690217,0.0006557532,0.002212181,0.010439686,0.010054186,0.001297686,0.0023039882,0.07123457],"category_scores_gemma":[0.0035022437,0.0006353935,0.0005066475,0.0045519895,0.004777559,0.004283182,0.0106910085,0.0031168615,0.013869778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016114076,0.00011039306,0.022346258,0.0010032522,0.00011406385,0.0031228913,0.19407995,0.00046237002,0.0016972763,0.4154485,0.16894421,0.1925097],"study_design_scores_gemma":[0.0000044754916,0.000014030458,0.0069134734,0.00026213162,0.000014527612,0.00025533265,0.02718006,0.00002800786,0.00023994726,0.0032743728,0.96179175,0.000021832917],"about_ca_topic_score_codex":0.1576402,"about_ca_topic_score_gemma":0.3093976,"teacher_disagreement_score":0.1576402,"about_ca_system_score_codex":0.0085094,"about_ca_system_score_gemma":0.010900599,"threshold_uncertainty_score":0.31344533},"labels":[],"label_agreement":null},{"id":"W6908023761","doi":"10.25549/wpacards-m62920","title":"WPA block face card for household census of Charlotte, Garnwell, Marengo, Chicago Streets, in Los Angeles","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin)","score_opus":0.010788928518465407,"score_gpt":0.16991038687128557,"score_spread":0.15912145835282016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908023761","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005762946,0.00002597712,0.00011612752,0.000028532106,0.000018314156,0.000026819594,0.998024,0.00024332495,0.0009406132],"genre_scores_gemma":[0.0008090449,0.000025772053,0.00024553138,0.000016653961,0.000005543403,0.00008873819,0.9974118,0.00002139292,0.0013755244],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995415,0.00004274918,0.000044786826,0.0001437312,0.00013005643,0.00009723049],"domain_scores_gemma":[0.99882203,0.0001078001,0.00010594577,0.00025734305,0.0005734808,0.00013339876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042590284,0.0018626729,0.001300968,0.0030669458,0.00070790405,0.0011856203,0.0020794591,0.0009608599,0.059273154],"category_scores_gemma":[0.0021924358,0.0004926614,0.0006877653,0.0042616935,0.00022174935,0.0007859194,0.0012192341,0.0010743205,0.08223311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051657316,0.000029059822,0.0016240141,0.000119742945,0.000011718454,0.000018083532,0.00001346742,0.00016550928,0.000088604844,0.000104631865,0.99304307,0.004730389],"study_design_scores_gemma":[0.00020742936,0.000035933135,0.04261756,0.00024890454,0.00003356358,0.0001644222,0.00031041377,0.0022458425,0.0010673206,0.00075323717,0.9522539,0.00006153174],"about_ca_topic_score_codex":0.070636705,"about_ca_topic_score_gemma":0.15003368,"teacher_disagreement_score":0.070636705,"about_ca_system_score_codex":0.0011098007,"about_ca_system_score_gemma":0.0020317102,"threshold_uncertainty_score":0.19828844},"labels":[],"label_agreement":null},{"id":"W6908353543","doi":"10.26044/ecr2020/c-12219","title":"Quality control in CT-fluoroscopy guided biopsies of sub-centimeter lung nodules: diagnostic outcome and complication rate","year":2020,"lang":"en","type":"article","venue":"European Society of Radiology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Neurotrauma Foundation","funders":"","keywords":"Lung; Quality (philosophy); Complication; Outcome (game theory); Control (management)","score_opus":0.03139526415060665,"score_gpt":0.2845388073748808,"score_spread":0.2531435432242741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908353543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937577,0.004590763,0.0012561177,0.000048572398,0.000011107347,0.000015183521,0.00006500306,0.00001895003,0.0002365906],"genre_scores_gemma":[0.99921966,0.00031035292,0.0002705989,0.000023589395,0.000009012997,0.0000045311895,0.00009797975,0.000007370997,0.000056968784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973683,0.0009486335,0.00031559414,0.0003158877,0.00086233066,0.00018932605],"domain_scores_gemma":[0.9841145,0.007702657,0.0052231187,0.00085408636,0.0013277514,0.000777765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032671853,0.00027146708,0.0006153367,0.00091170985,0.00026379785,0.0012984168,0.00043824542,0.00077212794,0.000494047],"category_scores_gemma":[0.0152235245,0.00018150202,0.00079400674,0.0006997522,0.0005723316,0.0006041759,0.0005123265,0.00041601018,0.000084951396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008891613,0.00027563566,0.9319297,0.00019113255,0.00042637577,0.0006192524,0.00031398138,0.0010048841,0.0055977795,0.00009751767,0.00014798905,0.0505041],"study_design_scores_gemma":[0.000052275493,0.002360913,0.9884526,0.000035898243,0.0003770802,0.0028074502,0.0001798509,0.0028136028,0.0025874148,0.00009809688,0.00020897618,0.000025943827],"about_ca_topic_score_codex":0.0024709054,"about_ca_topic_score_gemma":0.0018029304,"teacher_disagreement_score":0.0032671853,"about_ca_system_score_codex":0.00096256786,"about_ca_system_score_gemma":0.00046458223,"threshold_uncertainty_score":0.01727873},"labels":[],"label_agreement":null},{"id":"W6908615975","doi":"10.26226/morressier.5b9a8cfedbd47e000fbf5894","title":"Implementation of a Malnutrition Screening Risk Tool in The Stroke Prevention Clinic At Toronto Western Hospital To Identify Malnutrition Risk : a Quality Improvement Project","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Malnutrition; Stroke (engine); Intervention (counseling); Weight loss; Outpatient clinic; Quality of life (healthcare)","score_opus":0.08591658408406262,"score_gpt":0.44350199190671813,"score_spread":0.3575854078226555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908615975","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9491456,0.0011079414,0.006067971,0.0072833356,0.00019706646,0.024223207,0.0034467406,0.00060450024,0.007923581],"genre_scores_gemma":[0.9196708,0.00180627,0.058472794,0.0016532433,0.00009657479,0.011242392,0.004957292,0.00005824013,0.0020423087],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9877039,0.004552973,0.0018615659,0.00071229954,0.0035789253,0.0015903893],"domain_scores_gemma":[0.9648372,0.0028166622,0.004688073,0.0014630486,0.013548362,0.012646594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016792566,0.0005881422,0.0005998954,0.001995284,0.0028756068,0.0016843749,0.0012729936,0.00031840696,0.0019642164],"category_scores_gemma":[0.02605864,0.00055884896,0.0009985946,0.0028987522,0.0009006728,0.00085291645,0.0030924056,0.0010491237,0.00027965053],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014349296,0.006842647,0.5232886,0.0019251573,0.00042578956,0.00045465957,0.00906114,0.0016251882,0.0019758055,0.00040724437,0.029493852,0.42306495],"study_design_scores_gemma":[0.00079079217,0.0041382518,0.97693914,0.00081904844,0.0002247863,0.00014110205,0.0047865543,0.0029854218,0.0009534758,0.00011128896,0.008019926,0.000090163914],"about_ca_topic_score_codex":0.37488356,"about_ca_topic_score_gemma":0.4969093,"teacher_disagreement_score":0.37488356,"about_ca_system_score_codex":0.019886764,"about_ca_system_score_gemma":0.113269135,"threshold_uncertainty_score":0.745403},"labels":[],"label_agreement":null},{"id":"W6908890207","doi":"10.3389/fspas.2022.825019.s001","title":"DataSheet1_Sulfur- and Iron-Rich Mineralogical Features Preserved in Permafrost in the Canadian High Arctic: Analogs for the Astrobiological Exploration of Mars.docx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pyrite; Permafrost; Weathering; Hematite; Mineral; Carbonate; Sulfide minerals; Mica; Carbonate minerals","score_opus":0.05457906105755985,"score_gpt":0.26871812061707306,"score_spread":0.2141390595595132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908890207","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035107,0.00003189805,0.00005240879,0.000032384676,0.000031799034,0.000032455446,0.9966066,0.00030197544,0.0025594335],"genre_scores_gemma":[0.0025639443,0.00014398887,0.00086616515,0.000077590805,0.00001700088,0.0001007255,0.98920035,0.00046815112,0.006562117],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994686,0.000013689041,0.00004376284,0.00007814803,0.00022650091,0.00016938188],"domain_scores_gemma":[0.9971745,0.00025620463,0.00017948332,0.0001794549,0.0019652257,0.00024516464],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005791616,0.0016921825,0.0009341883,0.0064927405,0.002532065,0.0024300166,0.0025047364,0.00059661927,0.4036289],"category_scores_gemma":[0.002914084,0.0009337483,0.0010645508,0.010523375,0.00052383513,0.0020752954,0.001765394,0.0010844433,0.10053225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007489308,0.000028491046,0.006504262,0.001739649,0.000032487005,0.000080775724,0.00023260115,0.00032866801,0.00061321753,0.00043525605,0.980717,0.009212595],"study_design_scores_gemma":[0.00009031586,0.000015913049,0.05264307,0.0004592796,0.000029980498,0.00013918811,0.0004691716,0.0002574445,0.0010532178,0.00032644594,0.9444663,0.000049662616],"about_ca_topic_score_codex":0.7283299,"about_ca_topic_score_gemma":0.85932,"teacher_disagreement_score":0.4036289,"about_ca_system_score_codex":0.006102887,"about_ca_system_score_gemma":0.008667455,"threshold_uncertainty_score":0.850651},"labels":[],"label_agreement":null},{"id":"W6922027061","doi":"10.1021/jo049254j.s001","title":"Abnormal Solvent Effects on Hydrogen Atom Abstraction. 2.\\nResolution of the Curcumin Antioxidant Controversy. The Role of\\nSequential Proton Loss Electron Transfer","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Moiety; Radical; Hydrogen atom; Methanol; Solvent; Electron transfer; Radical ion; Homolysis; Proton; Acetic acid","score_opus":0.006114733029036267,"score_gpt":0.20960722587700337,"score_spread":0.2034924928479671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922027061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905047,0.002422923,0.0029699197,0.00018604843,0.00008018329,0.00002658559,0.00053232367,0.00014073223,0.0031366511],"genre_scores_gemma":[0.9965258,0.0005973306,0.0008234394,0.00003576216,0.000009714559,0.000014036727,0.00041642156,0.000019457537,0.0015580406],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998055,0.000040780847,0.00001177228,0.000045947527,0.000037264414,0.00005869889],"domain_scores_gemma":[0.99969804,0.00011825118,0.00006238499,0.000041362946,0.000048329504,0.00003166028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026376615,0.0003222804,0.00014986726,0.000117440824,0.00013466325,0.0001929122,0.0002500606,0.00028123148,0.0033637693],"category_scores_gemma":[0.0006100313,0.00013810559,0.00015047469,0.000111533474,0.00023601991,0.00038918274,0.00020831764,0.00037104005,0.0005188054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005273172,0.000016519236,0.0004405516,0.0000946848,0.000012295632,0.00007360626,0.00004344,0.00008816878,0.99615026,0.00013023135,0.00009230067,0.0023305882],"study_design_scores_gemma":[0.000010102965,0.00009328155,0.0012447241,0.000003363381,0.000006159067,0.000035721783,0.000022726163,0.00041854323,0.99746275,0.000028413802,0.00067028735,0.000003902059],"about_ca_topic_score_codex":0.0012909196,"about_ca_topic_score_gemma":0.00094543846,"teacher_disagreement_score":0.0033637693,"about_ca_system_score_codex":0.00020523454,"about_ca_system_score_gemma":0.00018700388,"threshold_uncertainty_score":0.01125288},"labels":[],"label_agreement":null},{"id":"W6922122044","doi":"10.1051/lhb/2010016/pdf","title":"Calcul de la courbe de capacité des pertuis de fond du barrage Matawin avec Flow-3D®","year":2010,"lang":"fr","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Materials testing; Reinforced concrete; Hydro power","score_opus":0.008590237573567673,"score_gpt":0.2292021610009224,"score_spread":0.22061192342735472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922122044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9055173,0.0004944043,0.071390145,0.00022916039,0.00007339223,0.00012041611,0.0036011513,0.0019057004,0.016668245],"genre_scores_gemma":[0.96110797,0.0003046647,0.029204637,0.000032422588,0.00000683311,0.00010553409,0.0016644752,0.00020274075,0.0073707555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998287,0.000016050726,0.000008869853,0.000040951407,0.00006969392,0.000035687808],"domain_scores_gemma":[0.9996282,0.00018532579,0.000028105678,0.000023512237,0.000114973984,0.000019851623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041652625,0.00086159614,0.000612224,0.00093768974,0.00062506244,0.0012897453,0.00070294004,0.0010255357,0.008396164],"category_scores_gemma":[0.0008982046,0.0005100525,0.00093064003,0.0011416092,0.00048465916,0.0006302389,0.00046678312,0.00065159885,0.00068876456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017106433,0.00006937187,0.011437487,0.0003013132,0.00003958616,0.00019266267,0.00021496396,0.953686,0.01150299,0.0016661684,0.0008198318,0.019898532],"study_design_scores_gemma":[0.000019438263,0.00004934885,0.0065145027,0.00003374404,0.000017903745,0.00003354306,0.000118459444,0.98416555,0.006786096,0.0003346633,0.001902508,0.000024179637],"about_ca_topic_score_codex":0.1250892,"about_ca_topic_score_gemma":0.10074254,"teacher_disagreement_score":0.1250892,"about_ca_system_score_codex":0.0014830254,"about_ca_system_score_gemma":0.002018569,"threshold_uncertainty_score":0.2487222},"labels":[],"label_agreement":null},{"id":"W6923757410","doi":"10.14288/1.0428281","title":"St. Andrew's Pres. Church, North Vancouver, B.C.","year":2023,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Identification (biology); Natural (archaeology); Field (mathematics)","score_opus":0.006518809556515898,"score_gpt":0.16677849165173372,"score_spread":0.16025968209521782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923757410","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019275529,0.0023138134,0.000412557,0.00155486,0.00048800677,0.00003454918,0.0027494961,0.0004572937,0.9900619],"genre_scores_gemma":[0.0019754744,0.0009744388,0.00018067437,0.000107539614,0.000012817809,0.0000048092,0.00029110585,0.00010257656,0.9963505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976164,0.000010205456,0.000006900235,0.000073784955,0.000097984564,0.000049463466],"domain_scores_gemma":[0.99939144,0.00003660154,0.00001767661,0.000028040316,0.00033446198,0.0001919079],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001870078,0.0009684542,0.00043142601,0.0011050786,0.0040591983,0.0030926086,0.00055141386,0.0013268745,0.7322842],"category_scores_gemma":[0.0007759757,0.0005372275,0.0003576797,0.0015879377,0.0005175203,0.0008248558,0.0009558671,0.0019619965,0.42789158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006304222,0.000035060184,0.0007572119,0.00012252865,0.0000073656493,0.00016334343,0.000133501,0.000102786435,0.00087541825,0.0025124748,0.8920964,0.103130914],"study_design_scores_gemma":[0.0000064270266,0.000011639929,0.00340728,0.00011369993,0.000005521891,0.00008628717,0.0003097282,0.00007301396,0.00029809485,0.0003347014,0.995346,0.000007584047],"about_ca_topic_score_codex":0.24828568,"about_ca_topic_score_gemma":0.75444317,"teacher_disagreement_score":0.75171435,"about_ca_system_score_codex":0.0025858532,"about_ca_system_score_gemma":0.0026963328,"threshold_uncertainty_score":0.493681},"labels":[],"label_agreement":null},{"id":"W6924909616","doi":"10.1594/pangaea.930179","title":"Calibrated ages of KUJU (BF2) peat core from Canada","year":2021,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Core (optical fiber); Carbon fibers; Hydrology (agriculture); Radiocarbon dating","score_opus":0.05885758426541097,"score_gpt":0.2703377594842437,"score_spread":0.21148017521883275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6924909616","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020271523,0.00008106255,0.00009508041,0.000029269197,0.000015276719,0.000010152894,0.9966749,0.00026882105,0.00079823105],"genre_scores_gemma":[0.002511015,0.000049170034,0.00029115297,0.000014718704,0.0000028667323,0.000022105993,0.99620014,0.0000589492,0.0008497615],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945444,0.0000158929,0.000025755155,0.00014368772,0.00019652954,0.00016369107],"domain_scores_gemma":[0.9979086,0.00010412451,0.0001008332,0.00025482947,0.0014191478,0.00021237711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060498377,0.0016329872,0.00096376083,0.004002281,0.0018505264,0.0014861333,0.0029782138,0.0012247156,0.012133005],"category_scores_gemma":[0.0019530691,0.00069706055,0.00089843664,0.007645813,0.0005909072,0.0006463505,0.0010660564,0.001416618,0.013673578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002534239,0.000061931496,0.01055399,0.0005494642,0.00014326278,0.00011785498,0.000104876184,0.0033606787,0.00092694064,0.0008694558,0.97455364,0.008504492],"study_design_scores_gemma":[0.00033736968,0.000015277763,0.10988113,0.00037975432,0.00013297593,0.00016085623,0.0003519451,0.0036924179,0.0030808055,0.0009901132,0.8808591,0.000118287804],"about_ca_topic_score_codex":0.9429635,"about_ca_topic_score_gemma":0.9760986,"teacher_disagreement_score":0.05703652,"about_ca_system_score_codex":0.010066149,"about_ca_system_score_gemma":0.016196936,"threshold_uncertainty_score":0.11474478},"labels":[],"label_agreement":null},{"id":"W6925410728","doi":"10.17632/493dbf98zx","title":"Data for Paper: The Impact of the Yield Curve on the Equity Returns of Insurance Companies","year":2020,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yield curve; Equity (law); Yield (engineering); Sample (material); Interest rate; Insurance policy","score_opus":0.17716992358457034,"score_gpt":0.3646658052967104,"score_spread":0.18749588171214004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925410728","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016463619,0.00007845968,0.000056144625,0.00007390128,0.000021203485,0.000013986956,0.99718684,0.00012362395,0.0007995114],"genre_scores_gemma":[0.002034823,0.000045225293,0.00014989157,0.000024794299,0.000011656129,0.00003396385,0.997045,0.000017282076,0.0006374812],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987307,0.000099061435,0.00012987634,0.0002347479,0.00060027704,0.00020527729],"domain_scores_gemma":[0.99625397,0.00038236773,0.0006053616,0.0006037731,0.0017987806,0.00035573595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011122406,0.0011838711,0.00077788543,0.0035894085,0.0006486356,0.0015349976,0.0015988499,0.0014729326,0.0118820695],"category_scores_gemma":[0.0050561493,0.00031436962,0.00078450853,0.00569773,0.00030340496,0.0007558038,0.0009926647,0.001122808,0.02400341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009783133,0.00007789885,0.01242104,0.00025445648,0.000034444663,0.0000574125,0.000033724045,0.00073829823,0.00022517682,0.0005961942,0.9804216,0.005041865],"study_design_scores_gemma":[0.0001965731,0.000047474794,0.123459354,0.00024999678,0.000043184755,0.00018983308,0.00021311858,0.0021631683,0.0012997243,0.0007780117,0.8712804,0.00007920201],"about_ca_topic_score_codex":0.10002137,"about_ca_topic_score_gemma":0.1571603,"teacher_disagreement_score":0.10002137,"about_ca_system_score_codex":0.0021411658,"about_ca_system_score_gemma":0.0023399766,"threshold_uncertainty_score":0.19887835},"labels":[],"label_agreement":null},{"id":"W6925454526","doi":"10.17630/3ceb4033-456e-49bf-b29c-c99314a1fa07","title":"Highly Ordered N-Heterocyclic Carbene Monolayers on Cu(111) (dataset)","year":2018,"lang":"en","type":"dataset","venue":"University of St Andrews","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Engineering and Physical Sciences Research Council","keywords":"Monolayer; Carbene; Feature (linguistics); Spectral line","score_opus":0.011297618445945757,"score_gpt":0.2098318339288355,"score_spread":0.19853421548288974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925454526","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031968062,0.00043793776,0.00014804635,0.000105102205,0.00004499328,0.000026985477,0.993891,0.00095759553,0.0011914673],"genre_scores_gemma":[0.0021555878,0.0001488185,0.00043250225,0.00003694302,0.00000833953,0.00006396088,0.99654144,0.00004220816,0.00057014945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994205,0.0000650373,0.000046529734,0.00017118534,0.00018204034,0.00011466959],"domain_scores_gemma":[0.9992494,0.0002226918,0.0000762985,0.00017745262,0.00018632789,0.00008775808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046287506,0.0028402982,0.0017267739,0.0026862335,0.0009445961,0.001584182,0.0031649377,0.0030191103,0.02272999],"category_scores_gemma":[0.0017625181,0.0005509494,0.0014350647,0.003655398,0.0004615143,0.00077903195,0.0013704924,0.001536773,0.020974206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024898944,0.00017968395,0.0023334033,0.0025996598,0.00016259926,0.00019154583,0.00004372249,0.003997045,0.0020040385,0.00059436593,0.97918487,0.008459967],"study_design_scores_gemma":[0.00092517503,0.00019082618,0.018558614,0.00064576353,0.00027038684,0.00039261446,0.00025452094,0.010422896,0.007598248,0.0031476158,0.957475,0.000118313226],"about_ca_topic_score_codex":0.022765392,"about_ca_topic_score_gemma":0.051344894,"teacher_disagreement_score":0.022765392,"about_ca_system_score_codex":0.0011561116,"about_ca_system_score_gemma":0.0017581249,"threshold_uncertainty_score":0.076039374},"labels":[],"label_agreement":null},{"id":"W6925533695","doi":"10.17895/ices.pub.24753183.v1","title":"Predicting future ecosystem scenarios for the Labrador Sea and the Norwegian/Barents seas: some results from the NORCAN study","year":2013,"lang":"en","type":"other","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ecosystem; Ecosystem model; Marine ecosystem; Climate change; Current (fluid); General Circulation Model; Ecosystem-based management; Baseline (sea)","score_opus":0.014358200888794654,"score_gpt":0.22498728742225096,"score_spread":0.2106290865334563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925533695","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757289,0.0006359948,0.0012426502,0.0004307918,0.00004390842,0.00007025303,0.012825309,0.00018650964,0.008835726],"genre_scores_gemma":[0.97044027,0.00064138597,0.0046043815,0.00007843685,0.000018676854,0.000073923424,0.020097574,0.000103024766,0.003942282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996743,0.00011968573,0.000022144997,0.00006400941,0.000062150546,0.000057623718],"domain_scores_gemma":[0.9993661,0.00026924556,0.000056683544,0.0000596434,0.00016208166,0.00008614875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619059,0.0008396043,0.0005351423,0.0008934916,0.00067892415,0.0018511395,0.0011409301,0.000703451,0.0029489442],"category_scores_gemma":[0.0012198874,0.0003204461,0.0014308256,0.0015007535,0.00035108047,0.00085161877,0.00054768386,0.0005396141,0.00031042696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008157847,0.00048021425,0.17321314,0.00035833803,0.0006015122,0.00092667807,0.0003161907,0.7712431,0.0009737934,0.0017203012,0.012948437,0.036402546],"study_design_scores_gemma":[0.00035457124,0.00038506373,0.17879863,0.00011263905,0.00055114983,0.000105123996,0.0024449266,0.798391,0.0026769715,0.0021920255,0.013822546,0.0001653443],"about_ca_topic_score_codex":0.60046715,"about_ca_topic_score_gemma":0.72910285,"teacher_disagreement_score":0.60046715,"about_ca_system_score_codex":0.0041505382,"about_ca_system_score_gemma":0.0025142326,"threshold_uncertainty_score":0.80377156},"labels":[],"label_agreement":null},{"id":"W6925802844","doi":"10.18739/a2rn3092p","title":"FireALT dataset: estimated active layer thickness for paired burned unburned sites measured from 2001-2023","year":2024,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Guelph; Wilfrid Laurier University; 3v Geomatics (Canada)","funders":"","keywords":"Permafrost; Tundra; Active layer; Taiga; Boreal; Latitude; Growing season","score_opus":0.03904083218420699,"score_gpt":0.26385253653321306,"score_spread":0.22481170434900608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925802844","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018779257,0.00020138817,0.00037869444,0.0000571349,0.000032108608,0.000021148728,0.9791542,0.000516148,0.00085997925],"genre_scores_gemma":[0.01839265,0.00007163241,0.0012398111,0.000039885635,0.000016453138,0.00006967698,0.97968,0.000040514828,0.000449458],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995741,0.0000389764,0.00005988039,0.0001390411,0.00012061521,0.00006737177],"domain_scores_gemma":[0.9983897,0.00014836545,0.0003458428,0.00023644423,0.00075205986,0.0001275083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006462387,0.0009939237,0.0005962984,0.0019257374,0.0003826392,0.0007778232,0.0012269755,0.0007056614,0.004000681],"category_scores_gemma":[0.0017863519,0.0003555596,0.0006935192,0.0020625119,0.00017996844,0.0005779303,0.00068149477,0.00060163374,0.0048014224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005070583,0.00023852047,0.31974465,0.00086225313,0.00066307647,0.00025180783,0.00023025495,0.0048192153,0.0024906355,0.0005802991,0.64347893,0.02613328],"study_design_scores_gemma":[0.0003597459,0.000082017636,0.70501304,0.00046379934,0.00019366965,0.00030774748,0.0004686839,0.0128619615,0.0031351931,0.0007784408,0.27621543,0.00012022653],"about_ca_topic_score_codex":0.08368642,"about_ca_topic_score_gemma":0.16152412,"teacher_disagreement_score":0.08368642,"about_ca_system_score_codex":0.00088767894,"about_ca_system_score_gemma":0.0009102959,"threshold_uncertainty_score":0.16639858},"labels":[],"label_agreement":null},{"id":"W6925829649","doi":"10.20381/ruor-21536","title":"Reliability and construct validity of the Ottawa valve collapse scale when assessing external nasal valve collapse","year":2018,"lang":"en","type":"other","venue":"University of Ottawa - Library","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Construct validity; Otorhinolaryngology; Grading (engineering); Reliability (semiconductor); Nose; Grading scale","score_opus":0.00899897122818163,"score_gpt":0.20192703672372406,"score_spread":0.19292806549554242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925829649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997531,0.0002153208,0.00079047546,0.000046953504,0.000045219214,0.00010805307,0.00014812138,0.000011357853,0.0011035275],"genre_scores_gemma":[0.99874973,0.00006089713,0.00085971405,0.000011562799,0.000012130948,0.000057016874,0.00015841298,0.0000029993203,0.000087483786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960211,0.001223019,0.0006578749,0.0003512044,0.0015425945,0.00020424045],"domain_scores_gemma":[0.9842619,0.007305231,0.002934826,0.000710444,0.0039471127,0.0008405467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067260084,0.00040238874,0.0005818867,0.0016430801,0.00039969003,0.0007514188,0.0004910656,0.00044553494,0.0008553719],"category_scores_gemma":[0.024786085,0.00026140606,0.0009582379,0.0006769781,0.0006449349,0.0006517445,0.0009839967,0.0005718515,0.00020376417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014809032,0.000092738956,0.9932621,0.000035353587,0.00012345533,0.00003267266,0.00036418583,0.00020794115,0.0002876336,0.00004044327,0.00015065828,0.0052547287],"study_design_scores_gemma":[0.000032476728,0.0005266461,0.99502087,0.000047306155,0.00006921117,0.00015645022,0.0007251674,0.0026435594,0.00032827962,0.00009373858,0.00033565008,0.000020544929],"about_ca_topic_score_codex":0.003266875,"about_ca_topic_score_gemma":0.0053133215,"teacher_disagreement_score":0.0067260084,"about_ca_system_score_codex":0.0004667702,"about_ca_system_score_gemma":0.0006446661,"threshold_uncertainty_score":0.03557098},"labels":[],"label_agreement":null},{"id":"W6926147317","doi":"10.25318/3610005201-eng","title":"Balance of international payments, changes in foreign currency assets and liabilities booked in Canada by Canadian chartered banks, quarterly","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Table (database); Currency; Balance sheet; Net foreign assets; Balance (ability)","score_opus":0.004531115178691762,"score_gpt":0.2200874982321453,"score_spread":0.21555638305345354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926147317","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028119856,0.00007303414,0.000017344748,0.00003730806,0.000010917756,0.0000045157753,0.9988404,0.0000689553,0.00066633115],"genre_scores_gemma":[0.0010386137,0.00013808974,0.00010277511,0.000019369303,0.000005077691,0.000018070436,0.99763095,0.00001884327,0.0010283114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991104,0.000037554135,0.00008473793,0.00018360997,0.00036158072,0.0002220806],"domain_scores_gemma":[0.99526775,0.00031908878,0.00028224871,0.00029078228,0.0035134947,0.00032669373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046488634,0.0018072848,0.0012488187,0.0082692625,0.0017629518,0.0028973527,0.0021353208,0.00086524896,0.027268548],"category_scores_gemma":[0.006241356,0.0005277628,0.00089599413,0.023828272,0.00047023324,0.00097507815,0.00092836854,0.0016328589,0.027227342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030001724,0.000013165285,0.003285689,0.00024337867,0.00002309128,0.00002131799,0.000022709099,0.0002834235,0.000033071177,0.00045133484,0.9928999,0.0026930019],"study_design_scores_gemma":[0.00008398313,0.000010847126,0.04435867,0.00044104192,0.000049449216,0.000073448646,0.00030216214,0.0010890911,0.00035857325,0.0005786011,0.9525935,0.000060551378],"about_ca_topic_score_codex":0.9538694,"about_ca_topic_score_gemma":0.968542,"teacher_disagreement_score":0.046130598,"about_ca_system_score_codex":0.014443765,"about_ca_system_score_gemma":0.024410373,"threshold_uncertainty_score":0.1047973},"labels":[],"label_agreement":null},{"id":"W6926341009","doi":"10.22004/ag.econ.289929","title":"Is Food Really More Expensive in Canada Than the US?","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.0169374850972079,"score_gpt":0.2616379537878395,"score_spread":0.24470046869063158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926341009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73554367,0.017836146,0.0007974319,0.13911884,0.0004404356,0.00002895495,0.015298326,0.00006689068,0.09086935],"genre_scores_gemma":[0.9791166,0.0047029895,0.00039404392,0.003400344,0.00007247041,0.0000063631405,0.0012226969,0.000031661846,0.011052848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991955,0.000042420386,0.000019790927,0.00008141751,0.00029523918,0.0003656543],"domain_scores_gemma":[0.9972429,0.00033310542,0.00027086266,0.00004165031,0.0014872199,0.00062433566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005471415,0.00021377786,0.0003528844,0.0013476952,0.0029149794,0.0043663005,0.00074171403,0.0009854059,0.011550715],"category_scores_gemma":[0.0036650682,0.00020181533,0.0005108066,0.0053905365,0.0017070937,0.0016545659,0.0005408334,0.0015856434,0.0003351558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017918539,0.0002570335,0.51386297,0.00087227114,0.00047082448,0.001102676,0.0055939583,0.004194439,0.0023055456,0.1506548,0.16877146,0.15012215],"study_design_scores_gemma":[0.00006943356,0.00008561619,0.77936316,0.0005944569,0.00025893233,0.00027075104,0.03279567,0.0035951717,0.0011251499,0.016252339,0.16535969,0.00022969667],"about_ca_topic_score_codex":0.99744534,"about_ca_topic_score_gemma":0.9987197,"teacher_disagreement_score":0.07756111,"about_ca_system_score_codex":0.07756111,"about_ca_system_score_gemma":0.06365554,"threshold_uncertainty_score":0.56274784},"labels":[],"label_agreement":null},{"id":"W6926488967","doi":"10.25316/ir-11196","title":"The Nanaimo Free Press [Wednesday, October 18, 1876]","year":2019,"lang":"en","type":"other","venue":"VIUSpace (Vancouver Island University Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gloom; Free press; Free enterprise","score_opus":0.006949540377754369,"score_gpt":0.18073982597781432,"score_spread":0.17379028560005996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926488967","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00064972683,0.009418226,0.00016932076,0.0021376305,0.0036542655,0.000027538317,0.0019891236,0.00014649439,0.98180765],"genre_scores_gemma":[0.0009957983,0.0012176731,0.00005276936,0.00008155925,0.00011309276,0.0000067647015,0.0001760991,0.000054346394,0.99730194],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961627,0.000024843548,0.000013600515,0.00007005203,0.0001992436,0.000075952266],"domain_scores_gemma":[0.99976116,0.00002862741,0.000012702778,0.000019647112,0.000119415185,0.00005839835],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031807687,0.001083692,0.00059245294,0.0023091687,0.004449163,0.0053515136,0.0008274048,0.0015720422,0.35761118],"category_scores_gemma":[0.0012400807,0.00047481354,0.0003223228,0.0034493068,0.0009223415,0.0017842132,0.0015744967,0.0025944468,0.134816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029949866,0.000009249774,0.00018894361,0.000094871,0.0000037535056,0.00009243552,0.00013175428,0.00007003079,0.000105973806,0.013903843,0.93828356,0.047085594],"study_design_scores_gemma":[0.00000129396,0.0000020593825,0.00033619622,0.000044430577,6.84115e-7,0.000017344924,0.000037157424,0.000013282527,0.000036125388,0.00040591406,0.99910307,0.0000024285528],"about_ca_topic_score_codex":0.122058414,"about_ca_topic_score_gemma":0.49092636,"teacher_disagreement_score":0.6423888,"about_ca_system_score_codex":0.004519445,"about_ca_system_score_gemma":0.0029339795,"threshold_uncertainty_score":0.9162897},"labels":[],"label_agreement":null},{"id":"W6926522758","doi":"10.25384/sage.c.5055792.v1","title":"Experiences of current and former members of self-managed superannuation funds","year":2020,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Measure (data warehouse); Quarter (Canadian coin); Current (fluid); Term (time)","score_opus":0.041186896812077316,"score_gpt":0.30812010987014815,"score_spread":0.26693321305807083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926522758","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954921,0.00028316144,0.00006891988,0.0012127146,0.000033959856,0.000005291706,0.00005707956,0.000003902127,0.0028427853],"genre_scores_gemma":[0.99568295,0.00030438876,0.000086135144,0.00037482864,0.000051843865,0.000013687367,0.000073840034,0.0000039065544,0.0034082658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816823,0.00082560873,0.00009986508,0.00011265211,0.00029208005,0.00050152355],"domain_scores_gemma":[0.99252945,0.0015525599,0.0019887146,0.00019193527,0.00067193346,0.0030654136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002865233,0.0001676609,0.00025604182,0.0009158751,0.0027303656,0.0016603715,0.0005053007,0.0008723651,0.005256158],"category_scores_gemma":[0.006870903,0.00021954982,0.00016543936,0.0006885122,0.0015573952,0.0020506869,0.0018987075,0.00093826983,0.0006282222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034381796,0.00032861638,0.49418682,0.00018090308,0.00004636446,0.0028508678,0.40606445,0.00028177563,0.0010874753,0.0039177886,0.021711554,0.06899947],"study_design_scores_gemma":[0.000012962537,0.00034022794,0.28013328,0.0002054452,0.000015400823,0.0019263034,0.6536503,0.0003941141,0.0003103269,0.0005372082,0.062408525,0.00006580904],"about_ca_topic_score_codex":0.009422981,"about_ca_topic_score_gemma":0.010658789,"teacher_disagreement_score":0.009422981,"about_ca_system_score_codex":0.0012514151,"about_ca_system_score_gemma":0.0010602085,"threshold_uncertainty_score":0.018736303},"labels":[],"label_agreement":null},{"id":"W6926537063","doi":"10.25335/52af-cn91","title":"The effect of lime on the chemical composition of a Charlottetown fine sandy loam and the effect of several amendments on its content of water-soluble boron as shown by soil and plant analyses","year":2024,"lang":"en","type":"article","venue":"Michigan State University Libraries","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lime; Loam; Chemical composition; Boron; Soil classification; Soil conditioner","score_opus":0.011307741735979027,"score_gpt":0.20492428237737526,"score_spread":0.19361654064139622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926537063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906725,0.00012887022,0.00011924311,0.0000398396,0.000009203937,0.000010658869,0.00015153708,0.000008230725,0.0004651469],"genre_scores_gemma":[0.99793625,0.00008647881,0.0004903298,0.0000626434,0.0000058048413,0.000010065204,0.0001835634,0.0000057301154,0.0012191514],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997712,0.00004887648,0.000035195477,0.000053275977,0.000043620563,0.000047916496],"domain_scores_gemma":[0.9989661,0.00046958297,0.000121993355,0.00005080815,0.00016482167,0.0002268108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000355951,0.00029482215,0.0003085639,0.00035364117,0.0004484872,0.00048451137,0.00033801084,0.00047435527,0.0011538463],"category_scores_gemma":[0.0009089884,0.00026626835,0.00027315857,0.00028867525,0.00045734315,0.00035581342,0.00025965215,0.00047182967,0.00016150945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007776576,0.00033299468,0.009368456,0.00015426187,0.00005573286,0.00021557837,0.00013743658,0.0003726843,0.9772948,0.000034572797,0.00008854578,0.004168381],"study_design_scores_gemma":[0.00010530654,0.0046895444,0.17165753,0.000017452812,0.00010538451,0.00023118278,0.0004158648,0.0016532016,0.81934035,0.00009894823,0.0016459083,0.000039293256],"about_ca_topic_score_codex":0.008531729,"about_ca_topic_score_gemma":0.018051561,"teacher_disagreement_score":0.99146825,"about_ca_system_score_codex":0.00048698945,"about_ca_system_score_gemma":0.0004583055,"threshold_uncertainty_score":0.016964138},"labels":[],"label_agreement":null},{"id":"W6926778038","doi":"10.25549/wpacards-c8-120810","title":"WPA block face card for household census (block 1794) in Los Angeles County","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin)","score_opus":0.009094963883120531,"score_gpt":0.16663324428548912,"score_spread":0.15753828040236859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926778038","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008569792,0.000025199974,0.00005936914,0.000032394237,0.00001719115,0.000019101522,0.99808145,0.00015242466,0.00075581647],"genre_scores_gemma":[0.0010350201,0.000026891988,0.00016566955,0.000016410047,0.0000059328486,0.000074438336,0.99734807,0.000018814571,0.0013086825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994892,0.0000470468,0.00004620266,0.00014257817,0.00016236,0.00011258517],"domain_scores_gemma":[0.9986608,0.00013967245,0.00013751465,0.00024979032,0.0006522742,0.00015990727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044123677,0.0014750811,0.0009949195,0.0032081795,0.00062672375,0.0010871326,0.0017264977,0.0009999903,0.047987033],"category_scores_gemma":[0.0025914034,0.00049234636,0.00059163925,0.004681829,0.00026056476,0.00074515824,0.0011725175,0.0009526527,0.063165985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006010543,0.00003131729,0.0025928626,0.00012991122,0.000014725705,0.000020322734,0.00001860272,0.00019647648,0.000099224766,0.000117725394,0.9928196,0.003899095],"study_design_scores_gemma":[0.00022844327,0.000036918347,0.06510033,0.00029012727,0.000040442832,0.00011933821,0.000439478,0.0018231517,0.0009935073,0.00064410415,0.9302256,0.0000586145],"about_ca_topic_score_codex":0.098980755,"about_ca_topic_score_gemma":0.16565748,"teacher_disagreement_score":0.098980755,"about_ca_system_score_codex":0.0011993969,"about_ca_system_score_gemma":0.00246373,"threshold_uncertainty_score":0.19680923},"labels":[],"label_agreement":null},{"id":"W6930499264","doi":"10.5281/zenodo.12970053","title":"business statistics fourth canadian edition","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business statistics; Statistician; Official statistics","score_opus":0.018689042324760808,"score_gpt":0.22292615656914064,"score_spread":0.20423711424437982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930499264","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00068607606,0.018963395,0.002626522,0.008339538,0.0095396815,0.00045392915,0.45181835,0.0032742692,0.50429827],"genre_scores_gemma":[0.0032765183,0.016694266,0.002005143,0.0011458771,0.00081418554,0.0004826854,0.14850181,0.0011412988,0.82593817],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949567,0.00021253974,0.00042941657,0.0004495143,0.0033687477,0.0005831561],"domain_scores_gemma":[0.9867093,0.00091115665,0.0004493364,0.0007269388,0.010510718,0.00069249654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023077829,0.003204472,0.0026158653,0.015563566,0.0023426665,0.0075275153,0.0020712437,0.0017788884,0.2245127],"category_scores_gemma":[0.013639337,0.0014156038,0.0014245496,0.03780758,0.00097005925,0.0028345936,0.0015778915,0.003958711,0.27968433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000127806325,0.0000067588176,0.0002087842,0.00007366652,0.0000032163998,0.000006214934,0.0000071348063,0.00011980118,0.000011133367,0.0011091,0.97954273,0.01889869],"study_design_scores_gemma":[0.000012840558,0.000008665535,0.0024841914,0.0001991587,0.000009051365,0.000017822369,0.000056329474,0.000252666,0.000049347353,0.0009345502,0.9959585,0.000016985137],"about_ca_topic_score_codex":0.75512564,"about_ca_topic_score_gemma":0.71763617,"teacher_disagreement_score":0.24487436,"about_ca_system_score_codex":0.016146796,"about_ca_system_score_gemma":0.049046274,"threshold_uncertainty_score":0.7510698},"labels":[],"label_agreement":null},{"id":"W6931030068","doi":"10.5281/zenodo.15218106","title":"FIGURES 286–291 in Revision of the western Nearctic species of Empis subgenus Enoplempis (Diptera: Empididae)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Subgenus; Habitus; Nearctic ecozone; Taxonomy (biology)","score_opus":0.021098887167371346,"score_gpt":0.24175753409619144,"score_spread":0.2206586469288201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931030068","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033262614,0.012903942,0.021988774,0.0017311663,0.016264724,0.00097077765,0.035425957,0.0028540893,0.8745979],"genre_scores_gemma":[0.18878435,0.014255207,0.075124875,0.0012973982,0.0028642463,0.0011893781,0.0755715,0.0031437932,0.6377692],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997466,0.000031962834,0.00003254954,0.00006794467,0.00009864184,0.000022211809],"domain_scores_gemma":[0.9996501,0.000029510562,0.0000456652,0.000046652942,0.00019548541,0.000032589945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031484262,0.00066187716,0.00035977573,0.0029526788,0.0012750608,0.00073569204,0.0007168814,0.00041843535,0.081091866],"category_scores_gemma":[0.0008091173,0.00029139064,0.0003378338,0.0018006561,0.0005974601,0.0012784231,0.00068111427,0.0011127717,0.034705643],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003609617,0.00005462601,0.0064722677,0.0010333352,0.00004422163,0.00094899343,0.0013164115,0.0005255271,0.0103276875,0.0073650447,0.50412136,0.46742952],"study_design_scores_gemma":[0.0000059791405,0.00001647864,0.015731253,0.00016643331,0.000018107034,0.000766687,0.00022716714,0.00013456383,0.0007279619,0.00040746716,0.98178816,0.000009757305],"about_ca_topic_score_codex":0.008179295,"about_ca_topic_score_gemma":0.024717562,"teacher_disagreement_score":0.081091866,"about_ca_system_score_codex":0.0005424964,"about_ca_system_score_gemma":0.00049560517,"threshold_uncertainty_score":0.27127934},"labels":[],"label_agreement":null},{"id":"W6931264300","doi":"10.5281/zenodo.7103649","title":"FIGURES 39–43 in New Australasian Parathalassiinae (Diptera: Dolichopodidae sensu lato)","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Holotype; Dolichopodidae; Oblique case; Dorsum; Meaning (existential)","score_opus":0.022628331378644444,"score_gpt":0.24107686364124678,"score_spread":0.21844853226260233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931264300","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06487035,0.010110089,0.019018255,0.0018622505,0.005964258,0.0011443591,0.044114508,0.004289528,0.84862643],"genre_scores_gemma":[0.24420898,0.0070019388,0.043003775,0.00065361505,0.0007750797,0.00067533355,0.03427446,0.0017986752,0.6676081],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998548,0.00001383963,0.000014265023,0.000051745235,0.000045832985,0.000019359471],"domain_scores_gemma":[0.9998492,0.000014742457,0.000031827614,0.000018332312,0.000056499874,0.00002939716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016556008,0.00086177676,0.00026861214,0.0021071495,0.0012201046,0.0005770164,0.0004941388,0.00036308542,0.16814716],"category_scores_gemma":[0.00041574024,0.00025823087,0.00034927024,0.002147216,0.00071352336,0.0010378595,0.0007577163,0.0010391962,0.038182344],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031903334,0.000056708734,0.012822643,0.0010992374,0.00005763001,0.00088531594,0.002230765,0.00034940353,0.0207964,0.006036752,0.36475164,0.5905945],"study_design_scores_gemma":[0.000020015956,0.000044246994,0.054435804,0.0001227496,0.00002474421,0.000974476,0.00045615336,0.00012848452,0.00094450713,0.00077673374,0.9420555,0.000016513879],"about_ca_topic_score_codex":0.021990236,"about_ca_topic_score_gemma":0.054052003,"teacher_disagreement_score":0.16814716,"about_ca_system_score_codex":0.0007640211,"about_ca_system_score_gemma":0.000676525,"threshold_uncertainty_score":0.5625083},"labels":[],"label_agreement":null},{"id":"W6931549189","doi":"10.5281/zenodo.7981205","title":"ELITE-simulaattori (ELITES) luonnon tilaan vaikuttavien toimien vasteiden arviointiin","year":2023,"lang":"fi","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Context (archaeology); Power (physics)","score_opus":0.03254295834506456,"score_gpt":0.2510848733546658,"score_spread":0.21854191500960124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931549189","genre_codex":"other","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39479795,0.0012223342,0.019296464,0.0053559947,0.0012490593,0.0004128428,0.0058602253,0.0009146901,0.57089037],"genre_scores_gemma":[0.54948515,0.00096173526,0.00921463,0.00081467826,0.00014124578,0.00035471094,0.003907153,0.00034164943,0.43477914],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930894,0.00013956065,0.000023378152,0.00015190542,0.00015684284,0.00021930336],"domain_scores_gemma":[0.9992481,0.00008069591,0.000066370165,0.00010630123,0.00015908232,0.00033956126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012700012,0.00046054533,0.0002867644,0.00054525374,0.0016359665,0.003488649,0.00090405904,0.0005408414,0.055611048],"category_scores_gemma":[0.0014004076,0.00020252164,0.0004956191,0.00058262644,0.00058644026,0.0014690917,0.0028461344,0.0012200442,0.011138283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014416479,0.0013365579,0.12765637,0.00088648876,0.00021105671,0.0010333246,0.016095866,0.006431215,0.013203735,0.23550116,0.10308496,0.49311772],"study_design_scores_gemma":[0.0001041946,0.000606381,0.0736144,0.00032300386,0.00007414119,0.00021528169,0.007358166,0.0030966066,0.0032066219,0.012611673,0.8987245,0.00006505698],"about_ca_topic_score_codex":0.020319987,"about_ca_topic_score_gemma":0.037510805,"teacher_disagreement_score":0.055611048,"about_ca_system_score_codex":0.0028302355,"about_ca_system_score_gemma":0.0037496397,"threshold_uncertainty_score":0.18603748},"labels":[],"label_agreement":null},{"id":"W6931665096","doi":"10.5683/sp3/hpbci1","title":"Snaring River (West) Alberta. 1:50,000. Map Sheet 083E01, ed. 1, 1955","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Georeference; Natural (archaeology); Raster graphics; General partnership; Aerial photography; Government (linguistics)","score_opus":0.010201705342816636,"score_gpt":0.23432002705469981,"score_spread":0.22411832171188317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931665096","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017547667,0.00012572642,0.000059113823,0.000031603417,0.000024744726,0.0000067474416,0.99636,0.00027514732,0.0029414026],"genre_scores_gemma":[0.0006618289,0.00013979607,0.00028859157,0.000024032504,0.0000055256673,0.000014907996,0.99412304,0.0001030362,0.0046392283],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994412,0.000023902001,0.000029627668,0.00013853649,0.00023569178,0.0001310142],"domain_scores_gemma":[0.99884665,0.000074440344,0.000072478746,0.00013956423,0.00072737894,0.00013935953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047529084,0.0019051189,0.0012079794,0.004479789,0.0013732669,0.0034648408,0.0019463885,0.00068546686,0.077987835],"category_scores_gemma":[0.0016988468,0.0007904017,0.0005731141,0.01626032,0.00050709344,0.0008761533,0.0008803496,0.0012153329,0.0866994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024454834,0.000005486725,0.00077678845,0.00015929683,0.000009839995,0.000015944008,0.000026732348,0.00014511835,0.000046616886,0.00027594122,0.99436,0.004153668],"study_design_scores_gemma":[0.00004468657,0.0000039242677,0.010742523,0.0001546025,0.000011672986,0.000028917655,0.00015377316,0.0002018309,0.00015298181,0.0004272589,0.9880568,0.000021038382],"about_ca_topic_score_codex":0.88715,"about_ca_topic_score_gemma":0.94489086,"teacher_disagreement_score":0.11285001,"about_ca_system_score_codex":0.006643586,"about_ca_system_score_gemma":0.01332202,"threshold_uncertainty_score":0.2608953},"labels":[],"label_agreement":null},{"id":"W6931891359","doi":"10.5683/sp3/ojbi20","title":"Exploring the relationship between threat arising from the COVID-19 pandemic and posttraumatic growth, values congruent behaviour, and prosocial behaviour","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"Concordia University of Edmonton","keywords":"Prosocial behavior; Stressor; Distress; Posttraumatic growth; Interpersonal communication; Interpersonal relationship; Helping behavior; Psychological resilience; Mental health; Pandemic","score_opus":0.18417360719829523,"score_gpt":0.3260856202756432,"score_spread":0.14191201307734796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931891359","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889102,0.0017221413,0.00025977072,0.0021495195,0.000078342404,0.000058354093,0.00020480902,0.0000042699585,0.006612537],"genre_scores_gemma":[0.9950824,0.0020650323,0.0005633211,0.00045258945,0.00005700201,0.00009923178,0.00021791855,0.000006256826,0.0014562178],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889225,0.0003933056,0.000041378116,0.00013280174,0.00023541007,0.0003048749],"domain_scores_gemma":[0.9948337,0.0014942042,0.001818918,0.00014327817,0.00035033454,0.0013596173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022646377,0.00034993567,0.0003728244,0.00097483944,0.002430286,0.0031515334,0.0005808314,0.0009262577,0.0064877775],"category_scores_gemma":[0.007831153,0.00036496477,0.0007582277,0.00083042955,0.0016966163,0.0020298401,0.0026459843,0.0045631,0.00053254137],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022253268,0.0012006856,0.9107154,0.00040026594,0.00021271489,0.00068884337,0.044426095,0.00013653499,0.00047157076,0.0038057514,0.0024966262,0.03522297],"study_design_scores_gemma":[0.000007788931,0.00023048095,0.94508773,0.00032433798,0.00005836781,0.0003668214,0.04907555,0.0003447156,0.00007537949,0.0018156611,0.0025778557,0.0000354197],"about_ca_topic_score_codex":0.012445743,"about_ca_topic_score_gemma":0.026974048,"teacher_disagreement_score":0.012445743,"about_ca_system_score_codex":0.0016864802,"about_ca_system_score_gemma":0.0022097488,"threshold_uncertainty_score":0.024746597},"labels":[],"label_agreement":null},{"id":"W6943847879","doi":"10.17026/ar/vxlt2u","title":"De Oude Oosterbegraafplaats (AAR 96)","year":2023,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arabic; Palm oil; Volunteer work","score_opus":0.04799085061133375,"score_gpt":0.3196720707209653,"score_spread":0.2716812201096316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6943847879","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1873964,0.013303306,0.006325961,0.007752478,0.007171751,0.0009242063,0.054883044,0.0020356928,0.72020704],"genre_scores_gemma":[0.11090675,0.0035890718,0.0040994096,0.00066131726,0.00037121217,0.00038461888,0.018513422,0.0012079122,0.86026627],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985258,0.00010859182,0.0000820006,0.00026341938,0.0006476574,0.00037249975],"domain_scores_gemma":[0.9989191,0.00015348055,0.00012085491,0.00013890138,0.00034390192,0.0003237399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013119407,0.00062123645,0.0005693085,0.0018221412,0.004012088,0.0061162673,0.0010124698,0.0017534832,0.19142212],"category_scores_gemma":[0.0031094367,0.0007777361,0.00069489627,0.00247359,0.0013617254,0.0029833964,0.004235121,0.0025221992,0.045629054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018913988,0.0003196323,0.028064812,0.0018398849,0.000104456,0.0017140204,0.025767094,0.00085651706,0.015955798,0.059672855,0.45572004,0.40809357],"study_design_scores_gemma":[0.000008659065,0.000017043645,0.0079687,0.00009622478,0.000005035085,0.000040215913,0.0012741841,0.000017815348,0.0006096136,0.0004035441,0.98954695,0.000011989462],"about_ca_topic_score_codex":0.10110395,"about_ca_topic_score_gemma":0.22555628,"teacher_disagreement_score":0.19142212,"about_ca_system_score_codex":0.0042001354,"about_ca_system_score_gemma":0.0062673655,"threshold_uncertainty_score":0.6403708},"labels":[],"label_agreement":null},{"id":"W6943876516","doi":"10.17026/dans-2bx-g38p","title":"De Maria Magdalena kerk in Geffen","year":2021,"lang":"en","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Christianity; Context (archaeology); Field (mathematics)","score_opus":0.02280607495391579,"score_gpt":0.2894869013286236,"score_spread":0.2666808263747078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6943876516","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027928674,0.00039391828,0.00041658827,0.00009613987,0.00006803088,0.0000180006,0.98947936,0.0010668765,0.005668159],"genre_scores_gemma":[0.0039299284,0.00030178163,0.0010311747,0.00003200735,0.000012915228,0.00007503633,0.98856413,0.00033851134,0.005714466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994205,0.000058788588,0.00002916965,0.00024873708,0.00012618913,0.000116624535],"domain_scores_gemma":[0.9996001,0.00007262576,0.000047099926,0.00013842684,0.0000903096,0.00005140771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045693378,0.0014574225,0.0013277492,0.0020152444,0.0006761447,0.0023466852,0.0009587785,0.00074762426,0.061919425],"category_scores_gemma":[0.0016743881,0.00049075653,0.00045145303,0.0031866764,0.00035690243,0.0006943938,0.0012807498,0.000812242,0.08698709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024180458,0.000029265851,0.0027527197,0.0008264836,0.00004492159,0.00018722189,0.00012719358,0.00066202506,0.0007297088,0.0011953716,0.962999,0.03020428],"study_design_scores_gemma":[0.000068819536,0.000015431318,0.012421789,0.00026780524,0.00001836759,0.00014195548,0.00020490967,0.0005353707,0.00092250126,0.0009082542,0.98447174,0.000023108356],"about_ca_topic_score_codex":0.080860324,"about_ca_topic_score_gemma":0.130016,"teacher_disagreement_score":0.080860324,"about_ca_system_score_codex":0.0009174205,"about_ca_system_score_gemma":0.0017162731,"threshold_uncertainty_score":0.2071411},"labels":[],"label_agreement":null},{"id":"W6943915123","doi":"10.17026/dans-xca-2bwf","title":"Montferland Didam Randweg Zuid Ondertunneling Proefsleuvenonderzoek","year":2012,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prime minister; Context (archaeology); Quarter (Canadian coin)","score_opus":0.05066622516613574,"score_gpt":0.3008289301012321,"score_spread":0.25016270493509635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6943915123","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068768844,0.004116561,0.009425068,0.017691113,0.0017876205,0.00021093087,0.0074457736,0.001414987,0.8891391],"genre_scores_gemma":[0.15002784,0.002440587,0.007648872,0.002209547,0.00020887186,0.00012446323,0.0051503154,0.0011874601,0.8310022],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986994,0.00012059026,0.0000313593,0.00028654188,0.0006322993,0.00022977585],"domain_scores_gemma":[0.99925977,0.0001405207,0.00006912704,0.00009501542,0.0002830262,0.00015260332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007279758,0.0005641956,0.00031935243,0.0008764965,0.0035686688,0.005248233,0.0012369043,0.0021803768,0.13208584],"category_scores_gemma":[0.0014867653,0.0005603808,0.00047449683,0.0011338552,0.0016556341,0.002706556,0.0027840342,0.0022271199,0.0212471],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007341407,0.00017178984,0.01537519,0.0009778348,0.000059266134,0.0025718578,0.01729413,0.00086968776,0.042530805,0.13011019,0.3673818,0.42192328],"study_design_scores_gemma":[0.000005356727,0.000024113398,0.0036807314,0.00007196151,0.000005630487,0.00011277989,0.0016982927,0.000070240654,0.0021786885,0.001560477,0.99057674,0.000014953159],"about_ca_topic_score_codex":0.1406723,"about_ca_topic_score_gemma":0.3261898,"teacher_disagreement_score":0.1406723,"about_ca_system_score_codex":0.005791139,"about_ca_system_score_gemma":0.006228894,"threshold_uncertainty_score":0.44187117},"labels":[],"label_agreement":null},{"id":"W6950451379","doi":"10.5281/zenodo.8072178","title":"Survey Planning, Allocation, Costing and Evaluation (SPACE) Project: Developing a Tool to Help Archaeologists Conduct More Effective Surveys","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Community College; University of Toronto","funders":"","keywords":"Activity-based costing; Quality (philosophy); Software; Sample (material); Modular design; Space (punctuation); Transect","score_opus":0.08557571398971177,"score_gpt":0.3393959082858087,"score_spread":0.2538201942960969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950451379","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023978334,0.00037003617,0.93352336,0.0008627587,0.0001330391,0.0013468976,0.0023413384,0.03171984,0.005724525],"genre_scores_gemma":[0.07192389,0.00021571992,0.91538835,0.00018713888,0.00005888271,0.0013530205,0.0019505973,0.0031734807,0.0057488456],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933055,0.0037326617,0.00029896153,0.00067465444,0.0015271261,0.00046099687],"domain_scores_gemma":[0.9836444,0.0072759073,0.0013220188,0.0031651675,0.0034233755,0.0011691045],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.014563725,0.0015814864,0.0010427997,0.0026284007,0.0009988262,0.0030091314,0.0015974279,0.0016283093,0.011955515],"category_scores_gemma":[0.017977756,0.0010561147,0.0009180637,0.0019621348,0.0020132735,0.004392599,0.0034947512,0.0014678492,0.004450228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012607394,0.0007467953,0.008354719,0.000798592,0.00018147871,0.0003532304,0.0025482846,0.05628893,0.024246382,0.028091056,0.06432227,0.8128075],"study_design_scores_gemma":[0.0011989418,0.004076532,0.018191626,0.0006074288,0.00020338698,0.0011281065,0.0024399853,0.4101279,0.09562205,0.06419304,0.4016593,0.00055168394],"about_ca_topic_score_codex":0.0039260667,"about_ca_topic_score_gemma":0.0027599458,"teacher_disagreement_score":0.98543626,"about_ca_system_score_codex":0.0014268679,"about_ca_system_score_gemma":0.0050123124,"threshold_uncertainty_score":0.07702124},"labels":[],"label_agreement":null},{"id":"W6955207889","doi":"10.57745/ctqbut","title":"1_Data_V4.tab","year":2025,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Process (computing); Identification (biology); Set (abstract data type); Work (physics)","score_opus":0.1603618307108168,"score_gpt":0.3888587150046904,"score_spread":0.22849688429387358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955207889","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007910825,0.00003791896,0.000088190456,0.00004561259,0.000024720666,0.000012757309,0.99788815,0.0010231907,0.0008004243],"genre_scores_gemma":[0.00032024548,0.000045102086,0.0003840515,0.000051108724,0.000010617423,0.00007205732,0.9974801,0.00039281626,0.0012438344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987477,0.00018455856,0.00012779878,0.0003767392,0.00032207725,0.00024119896],"domain_scores_gemma":[0.99690324,0.00092181226,0.00017895599,0.0007591752,0.0009655881,0.00027116886],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011923914,0.0029937453,0.0020147208,0.0037457978,0.0010367181,0.0030792376,0.0030890428,0.00234472,0.24717508],"category_scores_gemma":[0.006525661,0.001021059,0.0015855348,0.005480405,0.00054508983,0.0020722868,0.0022357502,0.0022075316,0.3158432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006378943,0.000022397173,0.00027882148,0.0004145106,0.000016929991,0.000010932731,0.000015396245,0.0001608784,0.00016052069,0.00031762404,0.9966028,0.0019352515],"study_design_scores_gemma":[0.00019614983,0.000025995358,0.0015921764,0.000145397,0.00001974253,0.00005026406,0.0000660938,0.00035362793,0.0008439691,0.00095302326,0.9957195,0.000034037166],"about_ca_topic_score_codex":0.02023425,"about_ca_topic_score_gemma":0.023766046,"teacher_disagreement_score":0.7528249,"about_ca_system_score_codex":0.0017128413,"about_ca_system_score_gemma":0.002537564,"threshold_uncertainty_score":0.826883},"labels":[],"label_agreement":null},{"id":"W6955935310","doi":"10.58079/qtn1","title":"Panel DIREPA au congrès DNC3ALED, 2019","year":2019,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Point (geometry)","score_opus":0.030269428442502053,"score_gpt":0.25200711967719575,"score_spread":0.2217376912346937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955935310","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008236639,0.01752036,0.0014231419,0.18572724,0.1389304,0.00064501853,0.011905217,0.0006727173,0.63493925],"genre_scores_gemma":[0.010482285,0.0016128314,0.00042412363,0.0070630168,0.003340384,0.00015888832,0.0017368417,0.00023432463,0.9749474],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802387,0.00028385204,0.00005958858,0.00030315825,0.00083612127,0.0004934167],"domain_scores_gemma":[0.99650085,0.0003535969,0.00013077982,0.00016159445,0.0015183558,0.0013347063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027205714,0.0006492204,0.0003630046,0.0010967985,0.005380231,0.0055330074,0.0013038794,0.003661803,0.1651559],"category_scores_gemma":[0.0045212945,0.00036312695,0.000499209,0.00090924004,0.0012783568,0.0023124139,0.004750172,0.0050617224,0.055909146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052205516,0.0000105108775,0.00022416074,0.000059126538,0.0000020011482,0.0000766376,0.00021982005,0.000018470295,0.00026596125,0.0037779722,0.9870259,0.008267217],"study_design_scores_gemma":[0.0000019181737,0.0000032135556,0.00038558536,0.000022915216,4.7226547e-7,0.000009843303,0.00011057666,0.000004920345,0.00006326413,0.00007770052,0.9993173,0.0000023341508],"about_ca_topic_score_codex":0.046372417,"about_ca_topic_score_gemma":0.11825404,"teacher_disagreement_score":0.1651559,"about_ca_system_score_codex":0.005663704,"about_ca_system_score_gemma":0.008469119,"threshold_uncertainty_score":0.55250156},"labels":[],"label_agreement":null},{"id":"W6956104598","doi":"10.5883/dataset-church12","title":"Spiders (Araneae) of Churchill, Manitoba: DNA barcodes and morphology reveal high species diversity and new Canadian records","year":2014,"lang":"en","type":"dataset","venue":"Barcode of Life Data Systems","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Morphology (biology); DNA barcoding; Diversity (politics); Biodiversity; Species diversity; Spider","score_opus":0.053323969113835405,"score_gpt":0.22944272674269833,"score_spread":0.17611875762886292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6956104598","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063745277,0.00015895904,0.00007628197,0.00006289857,0.000017938559,0.000024675168,0.99222976,0.00014389267,0.0009109788],"genre_scores_gemma":[0.0073979194,0.00013756841,0.0006363805,0.000055511893,0.0000062094787,0.00006174959,0.9903176,0.00004439702,0.0013425695],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995921,0.00001633366,0.000026383741,0.000082874765,0.00014130505,0.00014106659],"domain_scores_gemma":[0.9982122,0.00010943221,0.00022190232,0.00020227031,0.00092565006,0.00032844677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005270962,0.001320352,0.0007734866,0.005635094,0.0014268904,0.0011916896,0.0024818152,0.000975264,0.008677356],"category_scores_gemma":[0.0020351792,0.0006650653,0.00075507525,0.00716153,0.00054402085,0.00042941104,0.0012571968,0.001037435,0.0066608116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002570716,0.000078034274,0.06544627,0.0013991884,0.00025076306,0.00020407785,0.0005572281,0.00088364957,0.0017513474,0.00075157755,0.91425043,0.014170351],"study_design_scores_gemma":[0.00017734339,0.00002023056,0.41591892,0.0006235455,0.000136463,0.00022357692,0.0009831588,0.0007286288,0.00094752386,0.0004601065,0.5797085,0.0000719854],"about_ca_topic_score_codex":0.90705293,"about_ca_topic_score_gemma":0.9677193,"teacher_disagreement_score":0.092947066,"about_ca_system_score_codex":0.0056120264,"about_ca_system_score_gemma":0.0125334365,"threshold_uncertainty_score":0.18698883},"labels":[],"label_agreement":null},{"id":"W6956464612","doi":"10.60510/awfwi03310","title":"IGSN AWFWI03310 (EN22028-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22028-T01 from Peel River Watershed, Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); DNA; Quality (philosophy)","score_opus":0.041258527037125466,"score_gpt":0.2939535159352692,"score_spread":0.25269498889814374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6956464612","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027969265,0.00006241578,0.0033965001,0.000071072325,0.000050956365,0.00011765425,0.95397896,0.0034590831,0.03606647],"genre_scores_gemma":[0.0020718116,0.00006627031,0.005698153,0.00007906768,0.000014038999,0.0002580113,0.9747713,0.002814544,0.014226797],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989328,0.00006386977,0.000070844115,0.00036176198,0.0003404557,0.00023025756],"domain_scores_gemma":[0.9981108,0.00018506493,0.00017253059,0.000570577,0.0006898887,0.00027122558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013716952,0.0017586104,0.0011982329,0.005929453,0.0021410068,0.0016586083,0.0031181313,0.0013927395,0.21265568],"category_scores_gemma":[0.0026657511,0.0010032137,0.000588629,0.010627122,0.0005315188,0.0008792455,0.001907081,0.0010060875,0.23061757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025542756,0.000066572546,0.0033754802,0.00052084384,0.000030029185,0.00008523972,0.00032366806,0.00023779216,0.008531182,0.00209351,0.94412816,0.04035206],"study_design_scores_gemma":[0.000056532826,0.00001971114,0.013929302,0.00012886761,0.00003477944,0.000099426405,0.00013289011,0.0002136096,0.0044450485,0.0009907363,0.9799209,0.000028165196],"about_ca_topic_score_codex":0.12106487,"about_ca_topic_score_gemma":0.21484378,"teacher_disagreement_score":0.8789351,"about_ca_system_score_codex":0.0021171838,"about_ca_system_score_gemma":0.004600997,"threshold_uncertainty_score":0.7114041},"labels":[],"label_agreement":null},{"id":"W6956808792","doi":"10.60510/awfwi03090","title":"IGSN AWFWI03090 (EN22009-TG08): Individual Sample (Biology, leaf for DNA analyses) of sample EN22009-T08 from Mackenzie Delta (Anderson Plain), Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Delta; DNA","score_opus":0.045599393637314814,"score_gpt":0.3018073516365557,"score_spread":0.2562079579992409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6956808792","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038363147,0.000057654965,0.002129031,0.0000587061,0.000050250357,0.00010234055,0.9580189,0.0026370666,0.03310976],"genre_scores_gemma":[0.002632005,0.000055744284,0.0045837215,0.00006975808,0.000014745234,0.00020125064,0.97822064,0.0019122305,0.012309911],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991159,0.00004166817,0.00005921309,0.0002929465,0.0002966242,0.00019377859],"domain_scores_gemma":[0.9981242,0.00012175484,0.00016955263,0.00053977885,0.0007968541,0.00024788384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010967227,0.0016066472,0.0009474719,0.0063462993,0.0018551492,0.0014084881,0.0025934821,0.0011268482,0.16711396],"category_scores_gemma":[0.0021970565,0.0007901076,0.00054930715,0.010374392,0.0004969922,0.0007281489,0.0018145009,0.00082025246,0.19010949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002481107,0.000053390737,0.0058627296,0.0004139191,0.00002645217,0.00007491148,0.00033322687,0.0002152129,0.006071751,0.0016648868,0.94550806,0.039527282],"study_design_scores_gemma":[0.00005185871,0.00002030301,0.02365638,0.00012261156,0.000030240724,0.00009168113,0.00015603697,0.00018111207,0.0032316924,0.00082851533,0.9716058,0.000023980903],"about_ca_topic_score_codex":0.18028592,"about_ca_topic_score_gemma":0.2920995,"teacher_disagreement_score":0.81971407,"about_ca_system_score_codex":0.0021392207,"about_ca_system_score_gemma":0.0047424445,"threshold_uncertainty_score":0.5590519},"labels":[],"label_agreement":null},{"id":"W6957094404","doi":"10.60510/awfwi02724","title":"IGSN AWFWI02724 (EN22053-T01): Individual Sample (Biology, plant - Picea mariana) from Tintina Trench, Yukon, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Quality (philosophy); Component (thermodynamics); Chemical composition","score_opus":0.020322472276727777,"score_gpt":0.2429168731435005,"score_spread":0.2225944008667727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957094404","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066099125,0.00019174557,0.003502524,0.000074942276,0.00006981092,0.000096622556,0.95206535,0.004793041,0.03259603],"genre_scores_gemma":[0.0047308817,0.00011578073,0.0045003337,0.00006343588,0.000015321997,0.00016339179,0.9704531,0.0036611117,0.01629665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898046,0.000031051084,0.000054981945,0.0003305152,0.0003337246,0.00026923872],"domain_scores_gemma":[0.9982192,0.00008473681,0.00012031407,0.0005958004,0.0007464421,0.00023342828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079226017,0.0017949502,0.0016634269,0.0076213256,0.002479572,0.0021487232,0.002635948,0.0013375634,0.15089835],"category_scores_gemma":[0.0018643172,0.0008050761,0.0007895864,0.012046996,0.00056206854,0.00081631565,0.0024614471,0.00086203014,0.19567402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043186048,0.00005703982,0.007429168,0.0008789506,0.00008679453,0.00017246706,0.00042738777,0.00036530136,0.015074022,0.0024804263,0.9173121,0.055284627],"study_design_scores_gemma":[0.000038885948,0.000018023042,0.024532015,0.000076078744,0.00005980168,0.00015954052,0.0001701909,0.00015338763,0.0031092195,0.00068468845,0.9709699,0.000028394597],"about_ca_topic_score_codex":0.12907918,"about_ca_topic_score_gemma":0.20816967,"teacher_disagreement_score":0.87092084,"about_ca_system_score_codex":0.0023497462,"about_ca_system_score_gemma":0.0041003246,"threshold_uncertainty_score":0.50480527},"labels":[],"label_agreement":null},{"id":"W6957510975","doi":"10.6068/dp14baa33d40a67","title":"Most Recent Data (1998). Statistics Canada. CANSIM: Health - General | Country: Canada | Province: Nova Scotia | Table: Functional health status, by age group and sex, household population aged 4 years and over | Variable: 12 years and over, Functional health status, not stated, Both sexes | Units: # Persons, 1998. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-108.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Health statistics; Official statistics; Economic statistics; Population; Summary statistics; Socioeconomic status; Nova scotia; Descriptive statistics","score_opus":0.031217412411747452,"score_gpt":0.24717502437436353,"score_spread":0.2159576119626161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957510975","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000028530198,0.00003374472,0.000013725947,0.00007607313,0.000020926036,0.000012246672,0.9990361,0.000035288667,0.0007435116],"genre_scores_gemma":[0.00062525284,0.0001960663,0.00028845452,0.00014908685,0.0000167218,0.00013393046,0.99532014,0.00009254453,0.0031777725],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960328,0.00026611678,0.00048822913,0.00056504284,0.0017293982,0.000918423],"domain_scores_gemma":[0.9627493,0.0018341457,0.0010562004,0.0011915584,0.031167366,0.0020014471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022738003,0.0022108278,0.0025895257,0.006740034,0.0032980982,0.004362892,0.0051177796,0.0016311171,0.14308947],"category_scores_gemma":[0.02072032,0.0015981268,0.0021241917,0.036989316,0.0006636414,0.002176084,0.0021599084,0.0027947726,0.08138633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019919184,0.0000046490427,0.0007420034,0.00027373148,0.000013480012,0.0000048272464,0.00001648801,0.000071370014,0.000008086198,0.00022694521,0.99748695,0.0011314956],"study_design_scores_gemma":[0.00019897765,0.000011695557,0.023924766,0.00095948024,0.00006185475,0.00002521814,0.00033177304,0.00028930817,0.00012584357,0.0005493281,0.97344524,0.000076551565],"about_ca_topic_score_codex":0.9923309,"about_ca_topic_score_gemma":0.98970747,"teacher_disagreement_score":0.14308947,"about_ca_system_score_codex":0.04882074,"about_ca_system_score_gemma":0.11286987,"threshold_uncertainty_score":0.47868198},"labels":[],"label_agreement":null},{"id":"W6957594543","doi":"10.60692/achn6-yh168","title":"Measurement of Higgs boson production in the diphoton decay channel inppcollisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector","year":2014,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute of Particle Physics; University of Victoria; University of Toronto","funders":"","keywords":"Higgs boson; Large Hadron Collider; Atlas (anatomy); Atlas detector; Boson; ATLAS experiment; Standard Model (mathematical formulation); Detector","score_opus":0.01963135794653029,"score_gpt":0.19140538533736756,"score_spread":0.17177402739083728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957594543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99338925,0.00012915253,0.0037383595,0.000027338503,0.000005415391,0.000017828905,0.00036261682,0.000052765085,0.0022772052],"genre_scores_gemma":[0.99454945,0.000094803036,0.0033664377,0.000020226778,0.0000080317495,0.000027529752,0.00089888007,0.000016139333,0.0010184634],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99945635,0.000102445905,0.00002661324,0.00013252176,0.00015819372,0.00012395046],"domain_scores_gemma":[0.99935514,0.00019779002,0.0001314191,0.0000783377,0.00011719152,0.0001201638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007592638,0.0005874089,0.00038496585,0.0012562854,0.000636398,0.0010897819,0.0007458761,0.0004616008,0.0016907798],"category_scores_gemma":[0.000741543,0.00043337693,0.00030418957,0.001016569,0.00046545794,0.0006873043,0.0010884912,0.0004524379,0.00035247792],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030097219,0.00040439834,0.21238641,0.00011702021,0.00028494647,0.0012898232,0.0003754883,0.00190593,0.7661358,0.003824504,0.00039114727,0.00987481],"study_design_scores_gemma":[0.00014023097,0.001360038,0.20089357,0.000012475226,0.00020995025,0.0015001385,0.00023228719,0.0077005182,0.7834623,0.0012456967,0.0031596646,0.00008324114],"about_ca_topic_score_codex":0.0012727961,"about_ca_topic_score_gemma":0.0020861083,"teacher_disagreement_score":0.0016907798,"about_ca_system_score_codex":0.00058766955,"about_ca_system_score_gemma":0.00042822782,"threshold_uncertainty_score":0.0056561828},"labels":[],"label_agreement":null},{"id":"W6957648455","doi":"10.6068/dp14ba839b0aa37","title":"Trend 1971 - 2011. Statistics Canada. CANSIM: International Trade - Merchandise Imports | Country: Canada | Table: Merchandise imports and exports, by major groups and principal trading areas for all countries | Variable: Balance of payments, Imports, Other countries (x 1,000,000) | Units: $CAD, 1971-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-131.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Official statistics; Economic statistics; Census; Statistical analysis; International comparisons; Summary statistics; Balance of trade; China","score_opus":0.019561139438279314,"score_gpt":0.24364996463576616,"score_spread":0.22408882519748685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957648455","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000054076714,0.000050588616,0.000023376293,0.000107964486,0.000028133854,0.00001308004,0.998319,0.00006211004,0.0013417004],"genre_scores_gemma":[0.0007283132,0.00029649932,0.00034344225,0.00013040738,0.000016587284,0.000089036694,0.9927384,0.00011681596,0.005540459],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99613696,0.00018909917,0.00036697547,0.0004897981,0.0019409884,0.00087623135],"domain_scores_gemma":[0.9703746,0.0009510242,0.0008886132,0.0008394824,0.025682857,0.0012633873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017021123,0.0023772798,0.0022544316,0.00882246,0.003140678,0.00506948,0.004352138,0.001312472,0.10513542],"category_scores_gemma":[0.015294365,0.0016333496,0.0017677695,0.043034814,0.0006418594,0.0027393743,0.0021114915,0.0028579552,0.06683772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001803162,0.0000053202843,0.00083947123,0.00019137487,0.000014937722,0.0000064097444,0.000016676362,0.00009833713,0.000008631006,0.00038392819,0.9968047,0.001612179],"study_design_scores_gemma":[0.00008711536,0.000008335417,0.017546358,0.0006054137,0.00004245498,0.000020762775,0.00032433812,0.00032607088,0.00015427414,0.00052211573,0.98030096,0.0000618167],"about_ca_topic_score_codex":0.9933868,"about_ca_topic_score_gemma":0.99150145,"teacher_disagreement_score":0.10513542,"about_ca_system_score_codex":0.04722529,"about_ca_system_score_gemma":0.121300906,"threshold_uncertainty_score":0.351713},"labels":[],"label_agreement":null},{"id":"W6957673516","doi":"10.6068/dp14ba841d4ac6","title":"Trend 1999 - 2003. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Canadian summary characteristics of performing arts, by discipline and company size | Variable: Total volunteers, Opera, Medium size companies | Units: #, 1999-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Entertainment; Amusement; Census; Descriptive statistics; Socioeconomic status; Tourism; Official statistics; Publication","score_opus":0.011606068804545504,"score_gpt":0.21132071047217066,"score_spread":0.19971464166762515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957673516","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000045494082,0.000043394983,0.000021576483,0.00012001627,0.000024596719,0.000011084061,0.9988871,0.000052905074,0.00079379044],"genre_scores_gemma":[0.00067342614,0.00023565414,0.00029826348,0.00013028675,0.000015783568,0.0000852001,0.99513704,0.00009804564,0.0033263462],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952448,0.00026248224,0.00050670345,0.000639426,0.0022318608,0.0011146843],"domain_scores_gemma":[0.9630108,0.0012531604,0.0011224701,0.0010499625,0.031924948,0.0016386291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020811132,0.0027017184,0.0027136393,0.010465742,0.003720077,0.0055461284,0.005617894,0.0015632125,0.082963414],"category_scores_gemma":[0.019024286,0.001652863,0.002069041,0.049003266,0.00074708083,0.0029666007,0.002382772,0.0031738142,0.05478173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002091699,0.000005581565,0.0008908171,0.0002018523,0.000017524335,0.0000069192356,0.000019604808,0.0001001639,0.000009659258,0.00037271486,0.9971064,0.0012479201],"study_design_scores_gemma":[0.000117528165,0.000009740635,0.01883955,0.00075264846,0.00006224551,0.000025470024,0.00049717526,0.0004699692,0.00018628484,0.0006380245,0.9783215,0.00007981476],"about_ca_topic_score_codex":0.99512756,"about_ca_topic_score_gemma":0.9936767,"teacher_disagreement_score":0.082963414,"about_ca_system_score_codex":0.051154163,"about_ca_system_score_gemma":0.14730597,"threshold_uncertainty_score":0.3711512},"labels":[],"label_agreement":null},{"id":"W6957680347","doi":"10.60692/7j4gv-wct86","title":"Impact of COVID-19 vaccination on the risk of developing long-COVID and on existing long-COVID symptoms: A systematic review","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vaccination; Cohort study; Systematic review; MEDLINE; Cohort; Odds; Odds ratio","score_opus":0.0428828857046131,"score_gpt":0.27891684274088413,"score_spread":0.23603395703627103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957680347","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017204337,0.99717855,0.00009118042,0.00018315154,0.00007337441,0.00020898975,0.00034757063,0.0000064597284,0.00019030274],"genre_scores_gemma":[0.02796951,0.9702444,0.0004390205,0.0003851098,0.000080131955,0.0004886464,0.00027169942,0.0000064648193,0.00011496229],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99160516,0.00298506,0.0029688037,0.0007591774,0.001346838,0.00033490296],"domain_scores_gemma":[0.9651407,0.025099957,0.006256852,0.00044603858,0.0026469452,0.00040957532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008892852,0.0015425686,0.009246339,0.008143398,0.00060779235,0.0029699055,0.0018350781,0.002133454,0.0044190516],"category_scores_gemma":[0.042704914,0.0012050581,0.009686399,0.0084348405,0.0009109284,0.0022703283,0.0016655584,0.0013158245,0.0002824404],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000305188,0.000014936783,0.0012756068,0.96501565,0.014189301,0.0000720767,0.00015094539,0.00008278638,0.00011039989,0.00011589388,0.0006432694,0.018023863],"study_design_scores_gemma":[0.00033346878,0.00029742546,0.0077800057,0.84207416,0.1387614,0.00034884078,0.0002947725,0.00010723125,0.00017229005,0.00024165555,0.00954406,0.000044752975],"about_ca_topic_score_codex":0.012260438,"about_ca_topic_score_gemma":0.026006911,"teacher_disagreement_score":0.012260438,"about_ca_system_score_codex":0.0039101965,"about_ca_system_score_gemma":0.012179988,"threshold_uncertainty_score":0.04703045},"labels":[],"label_agreement":null},{"id":"W6957778569","doi":"10.6068/dp14ba88eace523","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Professional, Scientific and Technical Services | Country: Canada | Table: Specialized design services, sales by type of client based on the North American Industry Classification System (NAICS) | Variable: Total sales to all clients, Specialized design services | Units: , 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-013.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Type of service; Service (business); Summary statistics; Socioeconomic status; Publication; National accounts","score_opus":0.036866583429055425,"score_gpt":0.2538253217960971,"score_spread":0.21695873836704171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957778569","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000042014108,0.000040545925,0.000019622123,0.00010835255,0.000024367944,0.000011008987,0.99897254,0.00005027764,0.00073120784],"genre_scores_gemma":[0.00055055146,0.00020791659,0.0002698558,0.000119182696,0.000015959293,0.00008955969,0.9958032,0.0000881363,0.0028557645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952318,0.00026927126,0.00050942274,0.0006280314,0.0022946566,0.0010668524],"domain_scores_gemma":[0.9595096,0.001502295,0.0012182181,0.0012388462,0.03487787,0.0016531969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020177662,0.0025048733,0.0028308749,0.010382022,0.0035132223,0.005606098,0.0054995404,0.001659808,0.0909634],"category_scores_gemma":[0.021284088,0.0017996295,0.0020926252,0.048760965,0.000698465,0.0030030764,0.0024279119,0.0033333278,0.06541075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017606653,0.0000050739372,0.0007902227,0.00017656905,0.000015706719,0.000005612235,0.000014881166,0.00008805946,0.000007385845,0.00032048355,0.9974089,0.0011495058],"study_design_scores_gemma":[0.00012957983,0.000009568618,0.016965056,0.00074795063,0.000058177946,0.000024729352,0.0004030766,0.0004408862,0.00016498198,0.0006727353,0.9803053,0.00007807963],"about_ca_topic_score_codex":0.9921605,"about_ca_topic_score_gemma":0.9903474,"teacher_disagreement_score":0.0909634,"about_ca_system_score_codex":0.049687006,"about_ca_system_score_gemma":0.13611436,"threshold_uncertainty_score":0.36050612},"labels":[],"label_agreement":null},{"id":"W6957788305","doi":"10.6068/dp14ba8051df636","title":"Most Recent Data (2000). Statistics Canada. CANSIM: Society and Community - Rural Canada | Country: Canada | Table: Canadian Community Health Survey (CCHS 1.1) urban-rural profile, by sex | Variable: High blood pressure, not stated, Urban, Females | Units: , 2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-189.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Socioeconomic status; Population; Rural area; Demographic statistics; Health statistics; Social statistics; American Community Survey","score_opus":0.0326814197938022,"score_gpt":0.24575474593126903,"score_spread":0.21307332613746682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957788305","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004985049,0.00006803423,0.000026322425,0.00016420966,0.000037314785,0.000022027129,0.9979722,0.00006345214,0.0015965594],"genre_scores_gemma":[0.0012061569,0.00056929956,0.000689445,0.00033852324,0.000030013227,0.00021275818,0.98792505,0.00018712974,0.008841618],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99475867,0.00033742707,0.00057974935,0.0005661299,0.0025719462,0.0011859719],"domain_scores_gemma":[0.95786107,0.0015624232,0.0010114673,0.0010568105,0.036351282,0.002156977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002560061,0.0024009107,0.0026895353,0.007953037,0.004020618,0.005099734,0.0050353394,0.0015683583,0.12896542],"category_scores_gemma":[0.021683652,0.0018938162,0.0020369727,0.046576656,0.0007450252,0.0026293497,0.0024746044,0.0032769456,0.07395864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017225993,0.000005953876,0.00067198655,0.00020771987,0.000011208067,0.0000052838946,0.000019262561,0.00007098831,0.0000065179042,0.0002660591,0.99709594,0.0016219475],"study_design_scores_gemma":[0.00015378525,0.000012698614,0.02530562,0.0009183822,0.00006315736,0.00002644817,0.0005267665,0.00033250087,0.00013322313,0.0005983441,0.9718394,0.0000896081],"about_ca_topic_score_codex":0.9961732,"about_ca_topic_score_gemma":0.9939587,"teacher_disagreement_score":0.12896542,"about_ca_system_score_codex":0.06962207,"about_ca_system_score_gemma":0.17861997,"threshold_uncertainty_score":0.50514585},"labels":[],"label_agreement":null},{"id":"W6957828362","doi":"10.60692/4ff86-mbn88","title":"Erratum to: Measurement of differential cross sections for single diffractive dissociation in $$ \\sqrt{s} $$ = 8 TeV pp collisions using the ATLAS ALFA spectrometer","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; McGill University; University of Toronto","funders":"","keywords":"Atlas (anatomy); Dissociation (chemistry); Spectrometer; Atlas detector; Large Hadron Collider","score_opus":0.06048017028991965,"score_gpt":0.24871055422965213,"score_spread":0.1882303839397325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957828362","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07683863,0.039697777,0.11351003,0.048902333,0.65600085,0.00024874782,0.013691267,0.010023959,0.041086413],"genre_scores_gemma":[0.43884727,0.035468962,0.18181014,0.036120616,0.03315121,0.00054629584,0.024921918,0.007397842,0.24173577],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983216,0.0001453508,0.00025392865,0.000353394,0.00083434395,0.00009134155],"domain_scores_gemma":[0.9948789,0.0015978104,0.0004886114,0.00049883465,0.0022775792,0.00025820377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016082787,0.0016454896,0.0006971283,0.003730882,0.0026486723,0.0014898274,0.0034135072,0.003032883,0.01934732],"category_scores_gemma":[0.008107163,0.0008682131,0.0007248558,0.0024969806,0.0010042182,0.0016368484,0.0010015153,0.0035364022,0.012445984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012492099,0.00024359689,0.008987911,0.0018699393,0.00022618046,0.0037830467,0.00041055476,0.0010973277,0.07252724,0.009985972,0.80206347,0.097555496],"study_design_scores_gemma":[0.00014891279,0.0006664488,0.026659045,0.000415582,0.00038822595,0.0056702495,0.00043127418,0.0070246365,0.20768942,0.0059503745,0.74451053,0.000445309],"about_ca_topic_score_codex":0.0030773527,"about_ca_topic_score_gemma":0.005219722,"teacher_disagreement_score":0.01934732,"about_ca_system_score_codex":0.0017206765,"about_ca_system_score_gemma":0.0009817381,"threshold_uncertainty_score":0.06472319},"labels":[],"label_agreement":null},{"id":"W6957924692","doi":"10.6068/dp14ba7bb24ee57","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Average after-tax income, by economic family type | Variable: All family units | Units: Constant 2011 $CAD, 1976-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-119.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Personal income; Socioeconomic status; Census; Population; Family income; Official statistics; Total personal income; Household income; Summary statistics","score_opus":0.02570933729837758,"score_gpt":0.2303277967289276,"score_spread":0.20461845943055001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957924692","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000049891092,0.000051203908,0.000023932986,0.00010118939,0.000023120581,0.000014059712,0.99887747,0.000056392284,0.00080281333],"genre_scores_gemma":[0.00079611706,0.00027302268,0.00038303592,0.0001258934,0.000015620995,0.00012229606,0.9943151,0.00010832268,0.0038605505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960521,0.00025705365,0.00042024872,0.00050179654,0.0018636022,0.0009052681],"domain_scores_gemma":[0.9663322,0.0011667248,0.00095039327,0.0010274448,0.029003264,0.0015200109],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002217128,0.0023385275,0.0026941178,0.00843289,0.003326817,0.0047680913,0.0051031555,0.0014531161,0.092204496],"category_scores_gemma":[0.018606776,0.0017448656,0.0020994723,0.03855165,0.0006025212,0.0025510266,0.0023581109,0.0033335215,0.054750428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002262105,0.000005760245,0.0009506767,0.0002459273,0.000019697793,0.000006253277,0.00002124972,0.00010715629,0.000008347095,0.00041067784,0.9964557,0.0017458602],"study_design_scores_gemma":[0.00014192169,0.000011209496,0.024696238,0.00088359206,0.000064720756,0.000027552238,0.00040046754,0.00043220085,0.00016550778,0.0007059904,0.9723803,0.00009036246],"about_ca_topic_score_codex":0.9941322,"about_ca_topic_score_gemma":0.9924326,"teacher_disagreement_score":0.9077955,"about_ca_system_score_codex":0.05488206,"about_ca_system_score_gemma":0.12467655,"threshold_uncertainty_score":0.39819914},"labels":[],"label_agreement":null},{"id":"W6958237788","doi":"10.6068/dp15e008fded077","title":"Trend 1950 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Manufacturing Labor Productivity and Unit Labor Costs | Country: United States | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: REAL HOURLY COMPENSATION, CPI BASIS, PRODUCTIVITY SERIES, 1950-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-031-005.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Productivity; Currency; Liberian dollar; Labor cost; National Income and Product Accounts; National accounts; Index (typography); Compensation of employees; Official statistics","score_opus":0.027202274970555163,"score_gpt":0.2735896480338585,"score_spread":0.24638737306330333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958237788","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000052666153,0.000022800261,0.000035456273,0.000059427315,0.000033840228,0.000008726577,0.99927956,0.000055774486,0.0004517085],"genre_scores_gemma":[0.00026996832,0.000052841635,0.00018373897,0.000056259654,0.000016643588,0.000095897594,0.9983241,0.000048772326,0.0009517478],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979699,0.00029643433,0.0003468439,0.0004870969,0.00058487256,0.00031495202],"domain_scores_gemma":[0.9915441,0.0012517644,0.0008386295,0.00084592623,0.0051413793,0.00037813745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017031148,0.001762118,0.0014856785,0.004346251,0.00074842374,0.0027584694,0.0026509028,0.0013890477,0.08814051],"category_scores_gemma":[0.014753622,0.00093702617,0.0011978191,0.01442124,0.0003017684,0.0025458774,0.0017164578,0.0028009512,0.13203326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017642504,0.000008981438,0.00079283596,0.00014349594,0.00001130467,0.0000042935394,0.000008992435,0.0000713973,0.00001538045,0.00024799386,0.99736696,0.001310742],"study_design_scores_gemma":[0.0001626202,0.000017569215,0.01112258,0.0005306777,0.000028547716,0.00002591799,0.0001875378,0.0002913156,0.0001659005,0.0009168597,0.9865138,0.000036761645],"about_ca_topic_score_codex":0.094484895,"about_ca_topic_score_gemma":0.075068615,"teacher_disagreement_score":0.094484895,"about_ca_system_score_codex":0.0024958279,"about_ca_system_score_gemma":0.004330137,"threshold_uncertainty_score":0.2948594},"labels":[],"label_agreement":null},{"id":"W6958542670","doi":"10.6084/m9.figshare.27140617","title":"Additional file 1 of A chromosome level reference genome of Diviner’s sage (Salvia divinorum) provides insight into salvinorin A biosynthesis","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Genome; Chromosome; Gene; SAGE; Genomics; Reference genome","score_opus":0.036604857431748745,"score_gpt":0.2340200766753425,"score_spread":0.19741521924359376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958542670","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037391478,0.00005792352,0.0014027951,0.00004991696,0.000039524715,0.000026658658,0.99508333,0.0015618029,0.0014041308],"genre_scores_gemma":[0.0035898532,0.00011812817,0.0065565514,0.0001424808,0.000030575266,0.00020861173,0.98424673,0.0018082713,0.003298664],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995566,0.000044323246,0.000044508055,0.00016624651,0.000118199605,0.00007000484],"domain_scores_gemma":[0.9963755,0.0023271125,0.00025442362,0.00033691016,0.00051185343,0.00019417318],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00070449425,0.0014943954,0.0014261949,0.0030312685,0.0011911131,0.0012272858,0.0018066078,0.0014526367,0.6512415],"category_scores_gemma":[0.0055358284,0.0007641937,0.0009371686,0.004513037,0.00030977567,0.0012221728,0.0010286513,0.0013462335,0.16438106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005582663,0.00013917328,0.0021515358,0.0050774645,0.000094905765,0.00023087463,0.00017471031,0.001000327,0.009316355,0.0017776659,0.9605235,0.018955138],"study_design_scores_gemma":[0.00088448415,0.00017952378,0.019030849,0.0010259432,0.00018862255,0.0006079939,0.00021468976,0.0014550464,0.009046637,0.006284218,0.9609308,0.00015124193],"about_ca_topic_score_codex":0.005750972,"about_ca_topic_score_gemma":0.013264336,"teacher_disagreement_score":0.6512415,"about_ca_system_score_codex":0.0007685979,"about_ca_system_score_gemma":0.0013686429,"threshold_uncertainty_score":0.49746168},"labels":[],"label_agreement":null},{"id":"W6958821295","doi":"10.6084/m9.figshare.22978325.v1","title":"Additional file 1 of A short-term bioreactor assay to assess the effect of essential oils on a microbiota derived from piglet’s intestinal content","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université de Montréal","funders":"","keywords":"Bioreactor; Composition (language); Bacteria; Fermentation; Segmented filamentous bacteria; Chemical composition","score_opus":0.04249325043075638,"score_gpt":0.25784138186165895,"score_spread":0.21534813143090256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958821295","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00053147145,0.00002875917,0.0013718472,0.00006682105,0.000046738205,0.00015609116,0.99613047,0.00080452237,0.0008632331],"genre_scores_gemma":[0.0089244535,0.00015287814,0.014938251,0.00042926462,0.00006313089,0.00270525,0.95994335,0.002111425,0.010732031],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994011,0.00006925646,0.000074449854,0.00017419673,0.00019275,0.000088179324],"domain_scores_gemma":[0.99461067,0.0037777054,0.00028713554,0.0004637468,0.0006488211,0.00021188449],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013544327,0.001236687,0.0015430937,0.0019310216,0.0009818339,0.0012896053,0.002067479,0.0012659613,0.8165462],"category_scores_gemma":[0.006888653,0.0007401423,0.0011101707,0.0025494678,0.00033089163,0.0010908091,0.0008568533,0.0011402881,0.16651608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001311039,0.0007623706,0.002692341,0.00523458,0.0001246602,0.00022787569,0.00014302181,0.0012187669,0.008451887,0.0013317694,0.9541038,0.024397878],"study_design_scores_gemma":[0.008579247,0.0016418968,0.046943553,0.0023486519,0.0004351301,0.0012604813,0.00050209154,0.0065683736,0.029499725,0.00835818,0.8934322,0.00043053116],"about_ca_topic_score_codex":0.0044868765,"about_ca_topic_score_gemma":0.008207426,"teacher_disagreement_score":0.8165462,"about_ca_system_score_codex":0.00068583706,"about_ca_system_score_gemma":0.0015866887,"threshold_uncertainty_score":0.26167452},"labels":[],"label_agreement":null},{"id":"W6961316747","doi":"10.14288/1.0115716","title":"[Meeting minutes of the Senate of The University of British Columbia]","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Legislation","score_opus":0.014810752150441222,"score_gpt":0.19484966893503172,"score_spread":0.1800389167845905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6961316747","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004960536,0.030485295,0.0009339319,0.18937355,0.10382045,0.0007837854,0.033542916,0.0011110486,0.63498837],"genre_scores_gemma":[0.003472426,0.0024688249,0.00016931912,0.004462671,0.0025407958,0.000072192546,0.0018894877,0.00013101523,0.9847933],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907494,0.00007258199,0.000051061234,0.00012972896,0.0003934785,0.0002781519],"domain_scores_gemma":[0.9974498,0.0001664676,0.00008366,0.00008634842,0.0013648656,0.00084872],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013324673,0.0012664921,0.0012012714,0.0015446242,0.007789236,0.0057930276,0.0015688505,0.004508656,0.30863464],"category_scores_gemma":[0.002618071,0.000696842,0.0005606613,0.0021271654,0.00085791864,0.0017575551,0.0022791862,0.004116471,0.1006884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032128748,0.000005381453,0.000118153424,0.00003436025,0.000001751199,0.000029183617,0.000034473294,0.000015308755,0.00008950402,0.00023651867,0.9945363,0.0048668436],"study_design_scores_gemma":[0.000006722223,0.0000054069524,0.0027568291,0.000055512057,0.0000026423807,0.000012828126,0.00028750906,0.000029646775,0.000057935125,0.00011357717,0.9966581,0.000013256077],"about_ca_topic_score_codex":0.5170355,"about_ca_topic_score_gemma":0.8365725,"teacher_disagreement_score":0.9950153,"about_ca_system_score_codex":0.0049846885,"about_ca_system_score_gemma":0.011422581,"threshold_uncertainty_score":0.9861488},"labels":[],"label_agreement":null},{"id":"W6962451848","doi":"10.17026/dans-xsx-gn5n","title":"Bureauonderzoek en karterend veldonderzoek door middel van boringen Horstweg 9 te Hummelo, gemeente Bronckhorst","year":2013,"lang":"nl","type":"dataset","venue":"DANS Data Station Archaeology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Research article; Poetry","score_opus":0.03793022779757875,"score_gpt":0.2948474279268257,"score_spread":0.25691720012924696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6962451848","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015581326,0.007934053,0.010264177,0.011621473,0.003832489,0.00021985357,0.00479483,0.00078789756,0.9449639],"genre_scores_gemma":[0.02468709,0.0027646252,0.0054152976,0.00062789477,0.00015849221,0.0000913567,0.0014960389,0.0007377542,0.96402156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982487,0.00021915532,0.000076413795,0.00039914445,0.0007086241,0.00034793915],"domain_scores_gemma":[0.99916697,0.00014752934,0.00007075517,0.00010139987,0.00025976545,0.00025361782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011726544,0.0010317075,0.0007062272,0.0015159941,0.0049430677,0.010098401,0.0013486422,0.0025909215,0.24041852],"category_scores_gemma":[0.002273214,0.0009023383,0.0006326712,0.0018972504,0.0023055607,0.0035054137,0.005689491,0.0039927843,0.07613367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037931834,0.00020040628,0.0043478473,0.0008761781,0.000041044437,0.0010809702,0.012918349,0.0011400064,0.01253884,0.19640756,0.47194314,0.29812643],"study_design_scores_gemma":[0.0000037415498,0.000009494297,0.0008461728,0.000089461355,0.000003578236,0.000051218947,0.0009967703,0.000044235465,0.000749099,0.001629221,0.9955669,0.000009933527],"about_ca_topic_score_codex":0.08312785,"about_ca_topic_score_gemma":0.17447175,"teacher_disagreement_score":0.24041852,"about_ca_system_score_codex":0.0058831377,"about_ca_system_score_gemma":0.009761053,"threshold_uncertainty_score":0.8042801},"labels":[],"label_agreement":null},{"id":"W6963024591","doi":"10.17863/cam.53852","title":"Observation of electroweak W<sup>±</sup>Z boson pair production in association with two jets in pp collisions at s=13 TeV with the ATLAS detector","year":2019,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Social Fund; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Israel Science Foundation; Comisión Nacional de Investigación Científica y Tecnológica; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Austrian Science Fund; U.S. Department of Energy; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Generalitat de Catalunya; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; Alexander von Humboldt-Stiftung; TRIUMF; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond","keywords":"Electroweak interaction; Boson; Large Hadron Collider; Luminosity; Pair production; Atlas (anatomy); Tevatron; Technicolor; Collider","score_opus":0.006752597864571606,"score_gpt":0.18025011893127274,"score_spread":0.17349752106670113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963024591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111736,0.00053931226,0.002244153,0.00030305862,0.00002812743,0.000017888655,0.0012381186,0.00021230006,0.0042996756],"genre_scores_gemma":[0.99754,0.00007554619,0.0008883941,0.00008440157,0.000023853849,0.000010009298,0.0005194063,0.000017474298,0.0008408066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998404,0.000020670466,0.000007121021,0.000054626864,0.000031636082,0.000045581728],"domain_scores_gemma":[0.9995253,0.00011896672,0.00016910594,0.000048153703,0.00003009539,0.0001083725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035086146,0.00040266442,0.00038163245,0.0010924117,0.0005686737,0.0008760656,0.0006118459,0.0010369982,0.0031290147],"category_scores_gemma":[0.00030554697,0.00048527258,0.00037556892,0.0010672656,0.0004955291,0.00031407306,0.0008114131,0.00058158813,0.00059241906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010603701,0.0006036655,0.20143242,0.00036364063,0.00039618276,0.020299489,0.0005048703,0.00093696365,0.746757,0.0022875266,0.003280509,0.012534193],"study_design_scores_gemma":[0.0004251629,0.0007660873,0.85310346,0.00003062903,0.0002886245,0.012919738,0.0002582483,0.005981135,0.12247684,0.0010848951,0.002578587,0.00008671262],"about_ca_topic_score_codex":0.0008915306,"about_ca_topic_score_gemma":0.0010909738,"teacher_disagreement_score":0.0031290147,"about_ca_system_score_codex":0.00024580033,"about_ca_system_score_gemma":0.00021119355,"threshold_uncertainty_score":0.010467589},"labels":[],"label_agreement":null},{"id":"W6963917104","doi":"10.25384/sage.13614855","title":"sj-pdf-4-hol-10.1177_0959683620988051 – Supplemental material for Long-term and recent ecohydrological dynamics of patterned peatlands in north-central Quebec (Canada)","year":2021,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Ecohydrology; Hydrology (agriculture); Holocene; Dynamics (music)","score_opus":0.022092852594916692,"score_gpt":0.2661603323978668,"score_spread":0.2440674798029501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963917104","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004535339,0.000060853734,0.000513858,0.00020203683,0.00018196976,0.000073999225,0.9671609,0.0031557437,0.02819709],"genre_scores_gemma":[0.005098989,0.0002182276,0.0023670509,0.0002501059,0.00009192252,0.00015540613,0.8912063,0.0046179206,0.09599406],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989705,0.000025052883,0.000050613573,0.00011615876,0.000546697,0.00029095783],"domain_scores_gemma":[0.9926387,0.00089363026,0.00025095572,0.0005812081,0.004699955,0.0009355676],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010067986,0.0014242525,0.0011997598,0.005149661,0.0026289446,0.0043083075,0.002943154,0.0015595693,0.84112585],"category_scores_gemma":[0.0051291473,0.0011939206,0.0009544197,0.009372938,0.0007285192,0.0019609157,0.0020002315,0.0015456467,0.49948198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052123567,0.000031781805,0.00088745845,0.00015459677,0.000011085446,0.00002490078,0.00003670066,0.0001360423,0.00024280904,0.00026280675,0.98993766,0.008222041],"study_design_scores_gemma":[0.00019207227,0.000022505252,0.023309348,0.00026271824,0.000021666096,0.00006897339,0.00020097542,0.00053768506,0.0011853786,0.00079955964,0.9733194,0.000079760044],"about_ca_topic_score_codex":0.83508164,"about_ca_topic_score_gemma":0.89974904,"teacher_disagreement_score":0.84112585,"about_ca_system_score_codex":0.009509362,"about_ca_system_score_gemma":0.016325334,"threshold_uncertainty_score":0.33177918},"labels":[],"label_agreement":null},{"id":"W6969173121","doi":"10.5281/zenodo.4506101","title":"FIGURES 20–24 in Cybaeus (Araneae: Cybaeidae): the aspenicolens species group of the Californian clade","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ImmunoPrecise (Canada)","funders":"","keywords":"Clade; Taxonomy (biology); Group (periodic table); Phylogenetics; Genus","score_opus":0.02417592988630826,"score_gpt":0.2210227291676779,"score_spread":0.19684679928136964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969173121","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01147059,0.0076012164,0.011523219,0.0008526353,0.0029230511,0.00033342614,0.043404624,0.0040959334,0.91779524],"genre_scores_gemma":[0.12547614,0.009487651,0.045975465,0.00074226124,0.0011216375,0.0006788066,0.1172862,0.004332659,0.69489914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984396,0.000010177507,0.000010435385,0.000059168375,0.00005633155,0.00001981369],"domain_scores_gemma":[0.9998821,0.000011472052,0.00001675526,0.000011516491,0.00004769867,0.000030388419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016004845,0.0009828728,0.00036433904,0.0024579114,0.001411172,0.0011413296,0.00067876984,0.0005038362,0.20871383],"category_scores_gemma":[0.00034460705,0.00025930777,0.0002677377,0.0023822282,0.0008069609,0.0010959029,0.0009010333,0.0014231821,0.06700571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012864245,0.000040129406,0.0044540185,0.00063635496,0.000024073546,0.00019206517,0.0008379251,0.00032779027,0.006276671,0.0089501925,0.71261555,0.26551652],"study_design_scores_gemma":[0.000009878633,0.000007666104,0.012460777,0.00006571059,0.00000802064,0.00013894014,0.00014949452,0.00006830189,0.00025099018,0.00056586415,0.98626846,0.000005755088],"about_ca_topic_score_codex":0.028441507,"about_ca_topic_score_gemma":0.07428321,"teacher_disagreement_score":0.20871383,"about_ca_system_score_codex":0.00082540774,"about_ca_system_score_gemma":0.00085368316,"threshold_uncertainty_score":0.6982173},"labels":[],"label_agreement":null},{"id":"W6969401043","doi":"10.5281/zenodo.5501628","title":"tardis-sn/tardis: TARDIS v2021.9.12","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Diffusion; Constraint (computer-aided design); Phase (matter)","score_opus":0.02439174996761103,"score_gpt":0.23120984883713272,"score_spread":0.20681809886952168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969401043","genre_codex":"other","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005254476,0.0045850575,0.15153328,0.0019753561,0.00224792,0.00033699916,0.10192896,0.3047999,0.42733812],"genre_scores_gemma":[0.078880325,0.0037748655,0.15501456,0.001210501,0.0019375875,0.00096932374,0.25165042,0.23618568,0.27037674],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999215,0.0001374231,0.0000308701,0.00014205118,0.00034687915,0.00012772549],"domain_scores_gemma":[0.99904484,0.0001106997,0.000093890056,0.0002860544,0.00018350306,0.00028106733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00219488,0.0027886068,0.001907613,0.0025470208,0.0011714268,0.004539912,0.003711687,0.0024060328,0.18751979],"category_scores_gemma":[0.0019126137,0.0010126748,0.0014091053,0.0024306376,0.00069085706,0.0022573199,0.0033745416,0.0024442354,0.24599746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043154252,0.00007688006,0.00074836926,0.0004438049,0.00009417566,0.00015859173,0.000074454474,0.0031539572,0.0030998774,0.050781652,0.86713946,0.07379718],"study_design_scores_gemma":[0.00022295462,0.00005376943,0.0012744289,0.00015711549,0.000028768187,0.00030956516,0.000035340552,0.021098142,0.0065283244,0.046913013,0.923292,0.00008666743],"about_ca_topic_score_codex":0.0046863486,"about_ca_topic_score_gemma":0.004139492,"teacher_disagreement_score":0.18751979,"about_ca_system_score_codex":0.0018139897,"about_ca_system_score_gemma":0.0011256288,"threshold_uncertainty_score":0.6273162},"labels":[],"label_agreement":null},{"id":"W6976718542","doi":"10.60692/dp65b-b3b84","title":"Untargeted Fecal Metabolomic Analyses across an Industrialization Gradient Reveal Shared Metabolites and Impact of Industrialization on Fecal Microbiome-Metabolome Interactions","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Metabolome; Metabolomics; Metabolite; Feces; Microbiome; Industrialisation; Human feces","score_opus":0.07595705118759351,"score_gpt":0.31302788671000636,"score_spread":0.23707083552241287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976718542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99056643,0.0010518716,0.0046278224,0.0000978461,0.000017598724,0.00003068786,0.0026181766,0.00007163553,0.00091785856],"genre_scores_gemma":[0.9919893,0.00051113724,0.0040240865,0.00018529649,0.000015104714,0.00004860462,0.002276527,0.000045063218,0.00090489205],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99965835,0.00006539832,0.000015480637,0.0001410984,0.000063292115,0.000056375266],"domain_scores_gemma":[0.9996184,0.000085057654,0.00012295865,0.00006164709,0.000071779585,0.000040166553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030998836,0.0004215948,0.00048693144,0.00069104973,0.00034778335,0.0006081649,0.00014939002,0.00030340263,0.0015076179],"category_scores_gemma":[0.000635016,0.00019012178,0.0005033034,0.00089863996,0.00034501072,0.0002715533,0.0007386475,0.00051350845,0.0002588624],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019958613,0.00020033824,0.25016856,0.0003978396,0.0007188922,0.00027737103,0.00048495032,0.0006551849,0.70311606,0.00026595918,0.0005759414,0.041143037],"study_design_scores_gemma":[0.000020644993,0.00067521667,0.93066233,0.00002687089,0.00034029578,0.00033591644,0.00035930454,0.00096391165,0.06278584,0.00044802722,0.003351806,0.000029747507],"about_ca_topic_score_codex":0.0017757593,"about_ca_topic_score_gemma":0.0031859842,"teacher_disagreement_score":0.0017757593,"about_ca_system_score_codex":0.00017797595,"about_ca_system_score_gemma":0.00024263552,"threshold_uncertainty_score":0.005043447},"labels":[],"label_agreement":null},{"id":"W6976771862","doi":"10.6068/dp163feeb15751","title":"Trend 1996 - 2015. Statistics Canada. CANSIM: Transportation - Transportation by Rail | Country: Canada | Province: Quebec | Table: 404-0011 | Table Name: Railway transport survey, length of track operated, by area at end of year | Variable: Total companies-Total track operated-Kilometres | Units: Kilometres, 1996-2015. Data Planet™ Statistical Ready Reference: A SAGE Publishing Resource Dataset-ID: 075-001-196.","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Summary statistics; Census; Economic statistics; Official statistics; Table (database); Track (disk drive); Descriptive statistics; Publication","score_opus":0.01609631576497401,"score_gpt":0.22427366372187502,"score_spread":0.20817734795690102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976771862","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003847907,0.000036893674,0.000022120557,0.00009568232,0.000029175839,0.000010330251,0.99901116,0.00005871992,0.00069741276],"genre_scores_gemma":[0.00070989155,0.00021144348,0.00031134495,0.000120219534,0.000016874768,0.000106810505,0.9946621,0.00011569661,0.0037455151],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966007,0.00022758653,0.00036661295,0.000540301,0.0014632393,0.00080163265],"domain_scores_gemma":[0.9729173,0.0011077253,0.0008989971,0.0011437038,0.022515481,0.0014168071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018963089,0.002336425,0.0027363421,0.008198992,0.0031374847,0.005126834,0.0049529797,0.0015727145,0.103995405],"category_scores_gemma":[0.018232584,0.0016577771,0.0019495784,0.039694842,0.00068151497,0.0027468381,0.002288622,0.0031240657,0.07327542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017643015,0.0000046654827,0.0008129375,0.00018379274,0.000015884933,0.0000055233,0.000017573513,0.00008815453,0.000007567845,0.00028563786,0.99721247,0.0013481445],"study_design_scores_gemma":[0.00013663482,0.000010013844,0.018136596,0.00077225815,0.000053626653,0.0000222684,0.0004093261,0.00040976747,0.00013369403,0.0005976644,0.97924095,0.000077240205],"about_ca_topic_score_codex":0.99356574,"about_ca_topic_score_gemma":0.9918881,"teacher_disagreement_score":0.103995405,"about_ca_system_score_codex":0.045173608,"about_ca_system_score_gemma":0.106255494,"threshold_uncertainty_score":0.34789932},"labels":[],"label_agreement":null},{"id":"W6977079062","doi":"10.6084/m9.figshare.c.6623131.v1","title":"Sustained low functional impairment in axial spondyloarthritis (axSpA): which are the primary outcomes that should be targeted to achieve this?","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; University of Alberta; Université Laval; University of Toronto; University Health Network; Centre hospitalier universitaire de Québec","funders":"","keywords":"BASDAI; BASFI; Golimumab; Ankylosing spondylitis; Gee; Spondylitis; Prospective cohort study","score_opus":0.030254949804678404,"score_gpt":0.24907036548958075,"score_spread":0.21881541568490234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977079062","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805361,0.010675048,0.0008449037,0.0058006644,0.00008552973,0.000035206165,0.0009008988,0.000017754846,0.0011037422],"genre_scores_gemma":[0.9968514,0.0014736904,0.00043156312,0.00044143366,0.000100984726,0.000017366643,0.00053250307,0.0000032099147,0.00014788136],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990495,0.00038132924,0.00010570294,0.00013158482,0.00015703437,0.00017472866],"domain_scores_gemma":[0.9958658,0.0010186374,0.0018583009,0.00015644918,0.0005177386,0.00058315875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028800936,0.0002918772,0.0009776149,0.00025319113,0.00041173858,0.0009945319,0.00048491886,0.00050749286,0.0013458822],"category_scores_gemma":[0.0066963136,0.00013074548,0.0009602471,0.00066211284,0.00037806298,0.00090801547,0.00053383125,0.0008562746,0.00022976134],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045688415,0.00010379627,0.97502196,0.00015091915,0.00028190867,0.00006272429,0.00006104429,0.00018558258,0.00015979707,0.00009711131,0.0007812283,0.02263719],"study_design_scores_gemma":[0.00007256253,0.0005994736,0.99573034,0.0003290185,0.00037173225,0.00027299364,0.00048639096,0.00085687137,0.00011731595,0.00041856567,0.0007291357,0.000015488562],"about_ca_topic_score_codex":0.006517659,"about_ca_topic_score_gemma":0.015434324,"teacher_disagreement_score":0.006517659,"about_ca_system_score_codex":0.0005929182,"about_ca_system_score_gemma":0.0016700069,"threshold_uncertainty_score":0.015231609},"labels":[],"label_agreement":null},{"id":"W6977273888","doi":"10.6084/m9.figshare.c.6580061","title":"Nurse practitioner/physician collaborative models of care: a scoping review protocol","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Hospital for Sick Children; University of Waterloo; Dalhousie University; SickKids Foundation; University Health Network; University of Toronto; Research Institute for Aging","funders":"","keywords":"Grey literature; Scope (computer science); Systematic review; Collaborative Care; MEDLINE; Work (physics); Primary care; Protocol (science)","score_opus":0.02437276864915474,"score_gpt":0.3375970981233552,"score_spread":0.3132243294742005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977273888","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023414001,0.0007693767,0.00092811184,0.00018607618,0.00007787555,0.99556315,0.0017736669,0.000032243617,0.00043526638],"genre_scores_gemma":[0.00021259634,0.00058070384,0.00197125,0.000082448474,0.000009502344,0.99668914,0.0003002782,0.0000036962504,0.00015046899],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.940843,0.023154939,0.021190047,0.004745894,0.007266655,0.0027993617],"domain_scores_gemma":[0.9202709,0.02677321,0.011957089,0.007258596,0.02997737,0.003762784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.13117237,0.0061617866,0.017140988,0.026046349,0.0067366315,0.010912848,0.008129944,0.009961744,0.089340046],"category_scores_gemma":[0.10853306,0.0074022603,0.017359715,0.02197905,0.006732348,0.012367116,0.010016752,0.008121758,0.017999897],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008082301,0.0009851382,0.0016298507,0.83425653,0.0021257729,0.0014651677,0.008378328,0.0021526015,0.001558527,0.013334342,0.04479475,0.08123666],"study_design_scores_gemma":[0.02270245,0.0022532823,0.0067415186,0.6638208,0.006095548,0.0008770447,0.011090977,0.002235467,0.0022784567,0.015980957,0.26532996,0.0005935015],"about_ca_topic_score_codex":0.008595533,"about_ca_topic_score_gemma":0.016448902,"teacher_disagreement_score":0.13117237,"about_ca_system_score_codex":0.019847352,"about_ca_system_score_gemma":0.09867183,"threshold_uncertainty_score":0.69371414},"labels":[],"label_agreement":null},{"id":"W6977386615","doi":"10.6084/m9.figshare.c.4863792.v1","title":"Primary or secondary wound healing of the pin sites after removal of the external fixator: study protocol for a prospective, randomized controlled, monocenter trial","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wound healing; Wound closure; Wound care; External fixation; Randomized controlled trial; Population; Orthopedic surgery; Cosmesis","score_opus":0.02692683979380885,"score_gpt":0.29268088225110334,"score_spread":0.2657540424572945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977386615","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014761073,0.0012988567,0.0029949783,0.00036698108,0.00091507117,0.9769896,0.0013608696,0.00013218677,0.0011803277],"genre_scores_gemma":[0.01329295,0.0004123426,0.002975529,0.0004985476,0.00018830832,0.9816191,0.00023042771,0.000013111763,0.0007696403],"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","domain_scores_codex":[0.98238325,0.010921584,0.0018857078,0.0016667394,0.0016268613,0.0015158895],"domain_scores_gemma":[0.98884994,0.004121835,0.002689557,0.0015403565,0.0015371656,0.0012611285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024639785,0.0056106322,0.011112913,0.001864272,0.0020457532,0.0035581768,0.0025170841,0.0063027935,0.03520949],"category_scores_gemma":[0.024469554,0.0019927912,0.0042812848,0.002476405,0.0034074134,0.0028683257,0.001201291,0.0043438957,0.005706668],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9723893,0.0059656873,0.00053561386,0.0071091964,0.001269984,0.00012498233,0.00012629335,0.0004970199,0.0013474502,0.0014486705,0.0025207377,0.006665085],"study_design_scores_gemma":[0.9650021,0.026103988,0.00089541316,0.0007480184,0.00071466935,0.000035621237,0.00004418876,0.0007617958,0.0004359931,0.000905946,0.0043086987,0.000043452677],"about_ca_topic_score_codex":0.0008087264,"about_ca_topic_score_gemma":0.0019177959,"teacher_disagreement_score":0.03520949,"about_ca_system_score_codex":0.0024757995,"about_ca_system_score_gemma":0.0077835266,"threshold_uncertainty_score":0.13030922},"labels":[],"label_agreement":null},{"id":"W6978175876","doi":"10.6084/m9.figshare.27315132.v1","title":"Khanyo_Digitized Artefacts","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ruler; Replica; Artifact (error); Witness; Ledger; Quarter (Canadian coin); Reprint; Image (mathematics)","score_opus":0.021737291038842352,"score_gpt":0.24637172172625377,"score_spread":0.2246344306874114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6978175876","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019693347,0.00087993586,0.0015128299,0.000522045,0.0017229819,0.000101469246,0.0074339043,0.0022842265,0.98357326],"genre_scores_gemma":[0.012173929,0.00095165067,0.0024631878,0.00029048603,0.0004296386,0.00008758706,0.00731261,0.0024183253,0.97387266],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999619,0.000031643227,0.000017518636,0.00007033867,0.00018504611,0.00007634776],"domain_scores_gemma":[0.99937564,0.00007518701,0.000032150172,0.00021576631,0.00020511603,0.000096069954],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030518012,0.00087999064,0.0004651082,0.002628727,0.003114101,0.006688082,0.00091745553,0.0010733262,0.72972673],"category_scores_gemma":[0.0015474816,0.0007081419,0.0005686599,0.0044264486,0.0008986536,0.002712389,0.0042077745,0.0015246761,0.34817234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016203328,0.000027583415,0.00059740205,0.00039529646,0.0000066159996,0.00039593445,0.0010044051,0.00013947922,0.0017815098,0.01269388,0.804511,0.17828487],"study_design_scores_gemma":[0.0000032763344,0.0000035306127,0.00045572678,0.000034379944,0.0000010689091,0.00008790528,0.0001291365,0.000014623813,0.00012658155,0.00018250912,0.99895716,0.0000041761455],"about_ca_topic_score_codex":0.011032436,"about_ca_topic_score_gemma":0.030663554,"teacher_disagreement_score":0.72972673,"about_ca_system_score_codex":0.0014640515,"about_ca_system_score_gemma":0.0010152087,"threshold_uncertainty_score":0.385512},"labels":[],"label_agreement":null},{"id":"W6981043170","doi":"","title":"Development of English language skills in oral production by adult students in intensive and regular EFL courses","year":2010,"lang":"en","type":"article","venue":"Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Production (economics); English language; Second language; First language; Language proficiency","score_opus":0.002248119677533445,"score_gpt":0.21046377396893104,"score_spread":0.2082156542913976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981043170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997291,0.000019226378,0.000013331434,0.0000033386418,5.268176e-7,0.000002336505,0.000011537461,0.0000012553324,0.00021943513],"genre_scores_gemma":[0.9989656,0.000025297119,0.000080775106,0.0000078174235,0.0000012548404,0.0000051039406,0.000039966755,0.0000010913706,0.00087296916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956983,0.000052418396,0.000042665182,0.00007660005,0.00012111714,0.00013746758],"domain_scores_gemma":[0.9979814,0.0005015785,0.000505415,0.000105859544,0.0002977172,0.0006080461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084900577,0.00024391772,0.00025629168,0.00079776195,0.00023330463,0.0006506481,0.00022617588,0.00033083392,0.0024195933],"category_scores_gemma":[0.0032949536,0.0001496331,0.0002175436,0.00021696545,0.000369766,0.0004814923,0.0007922771,0.0004060939,0.0006949976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095624337,0.002332896,0.8983244,0.000058779635,0.000035741865,0.0004537988,0.0064011975,0.00014378445,0.01692803,0.00007658688,0.00026150618,0.07402701],"study_design_scores_gemma":[0.000012862868,0.0015860818,0.9943672,0.000008069776,0.000008866762,0.00022542948,0.0016131229,0.000091195,0.0017808053,0.00003336406,0.00026706944,0.000005972162],"about_ca_topic_score_codex":0.0019882633,"about_ca_topic_score_gemma":0.003814396,"teacher_disagreement_score":0.0024195933,"about_ca_system_score_codex":0.00023268373,"about_ca_system_score_gemma":0.0002560787,"threshold_uncertainty_score":0.008094311},"labels":[],"label_agreement":null},{"id":"W6981260283","doi":"","title":"Echo Global Logistics Reports Record Fourth Quarter Revenue, Up 34.6% Year over Year","year":2018,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Echo (communications protocol); Quarter (Canadian coin); Center (category theory)","score_opus":0.011823573839768448,"score_gpt":0.25450111891120586,"score_spread":0.2426775450714374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981260283","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021451026,0.0018701879,0.0026736376,0.010635224,0.0052283118,0.00016830038,0.041910037,0.008498562,0.9075647],"genre_scores_gemma":[0.02912825,0.0028128517,0.0015332493,0.0015664264,0.0007643674,0.000049717702,0.031426076,0.002157048,0.93056214],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917597,0.000054675696,0.000024980107,0.0000570194,0.00053303683,0.00015425983],"domain_scores_gemma":[0.9972683,0.00021589322,0.00018977941,0.00018512718,0.0016896572,0.0004512312],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00095029525,0.0008057722,0.0003322221,0.0027789315,0.0012819018,0.0053098626,0.0009832971,0.0008026868,0.35197076],"category_scores_gemma":[0.0031525416,0.0002884975,0.00048560253,0.0044675763,0.0004896239,0.0030993815,0.002310627,0.0011625001,0.30537188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004748589,0.000033667977,0.0013528407,0.00003368593,0.0000037861128,0.000050436414,0.000032212818,0.000057700476,0.00021083809,0.0010050483,0.95317554,0.043996826],"study_design_scores_gemma":[0.00001050906,0.000025317935,0.0029082214,0.000046149376,0.000004601948,0.0001682749,0.000394371,0.00033268836,0.0008024655,0.0004571321,0.9948362,0.000014069678],"about_ca_topic_score_codex":0.009134589,"about_ca_topic_score_gemma":0.01271657,"teacher_disagreement_score":0.6480292,"about_ca_system_score_codex":0.0008713503,"about_ca_system_score_gemma":0.0013795162,"threshold_uncertainty_score":0.92433506},"labels":[],"label_agreement":null},{"id":"W6981502141","doi":"","title":"Emergent Identities and Representations in ELT in Minority Language Contexts in Northern Mexico","year":2015,"lang":"en","type":"other","venue":"YorkSpace (York University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidad de Sonora; Consejo Nacional de Ciencia y Tecnología; York University","keywords":"Government (linguistics); Indigenous; Representation (politics); Subject (documents); Participant observation; Frame (networking); Ethnography","score_opus":0.009181515438203136,"score_gpt":0.2228951525375795,"score_spread":0.21371363709937635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981502141","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98825294,0.00038590556,0.0002160878,0.0020402367,0.000015125861,0.000012575648,0.000020406316,0.0000046340365,0.009052206],"genre_scores_gemma":[0.99777824,0.00038216144,0.00015816385,0.00014165578,0.000009148666,0.000020093114,0.000022748143,0.0000055887467,0.0014821888],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984459,0.00073989487,0.00004291502,0.00021831885,0.00016120405,0.00039178808],"domain_scores_gemma":[0.9990363,0.00043518306,0.00023280401,0.000064398,0.00007859193,0.00015271868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002469271,0.00030607174,0.000364255,0.0012914484,0.016773831,0.00612762,0.0011468099,0.0011414879,0.0023737112],"category_scores_gemma":[0.0032291017,0.00027445023,0.00018533776,0.0012899855,0.011592465,0.003555427,0.007506498,0.001967168,0.000106974854],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022575214,0.00001808292,0.0048700515,0.000026052296,0.0000020408577,0.0005780506,0.9856765,0.000016132608,0.00031538482,0.0055660554,0.00021244041,0.0026964643],"study_design_scores_gemma":[0.0000017807995,0.0000075466714,0.0049692765,0.000049186918,0.0000025869913,0.00010199818,0.98727673,0.000035178466,0.00008844667,0.00052279327,0.0069404417,0.000003999759],"about_ca_topic_score_codex":0.07410153,"about_ca_topic_score_gemma":0.09153183,"teacher_disagreement_score":0.07410153,"about_ca_system_score_codex":0.008111401,"about_ca_system_score_gemma":0.0035990807,"threshold_uncertainty_score":0.14734042},"labels":[],"label_agreement":null},{"id":"W6981514680","doi":"","title":"Encounters on education = Encuentros sobre educación = Recontres sur l’éducation, «Building common spaces: citizenship and education in Canada and Spain». Winnipeg, Manitoba, Canadá: Faculty of Educación, The University of Manitoba y Madrid, España, Depar","year":2018,"lang":"es","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Citizenship; State (computer science); Higher education; Agency (philosophy)","score_opus":0.01572766287384402,"score_gpt":0.2335757519561316,"score_spread":0.21784808908228756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981514680","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16273685,0.05251192,0.0022322529,0.43708855,0.0121968,0.0001796222,0.0012894191,0.00022804312,0.3315365],"genre_scores_gemma":[0.5713945,0.030781837,0.0018149795,0.03382106,0.0013147029,0.00011410948,0.00079984294,0.0003400013,0.35961893],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99598616,0.001499792,0.00013379494,0.00021589074,0.0006955815,0.0014688316],"domain_scores_gemma":[0.9929938,0.0016137033,0.00023165846,0.00022377797,0.0012633018,0.0036737875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038369205,0.00045238828,0.00044533875,0.0014362712,0.022138834,0.0077287704,0.0017314466,0.0041624852,0.021657353],"category_scores_gemma":[0.006604409,0.00042605776,0.00029803344,0.0034150875,0.012377091,0.004929041,0.0105423285,0.0069185332,0.0014760983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005635196,0.00008532693,0.0049377605,0.0002571039,0.0000071687773,0.0011386303,0.4070225,0.00017916295,0.00046948888,0.037061848,0.4475281,0.10125655],"study_design_scores_gemma":[0.0000037031273,0.000008177156,0.0050744726,0.000222533,0.0000017427944,0.00012061662,0.21286538,0.000018207034,0.000087463806,0.00068861584,0.78089404,0.000015109845],"about_ca_topic_score_codex":0.81308526,"about_ca_topic_score_gemma":0.9412712,"teacher_disagreement_score":0.18691474,"about_ca_system_score_codex":0.038811244,"about_ca_system_score_gemma":0.06621126,"threshold_uncertainty_score":0.37603098},"labels":[],"label_agreement":null},{"id":"W6981735734","doi":"","title":"Export-led recoveries in small open industrialized economies","year":2014,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Diafiltration; TSG101; Hyporeflexia; Liquation; Fusible alloy; Proteogenomics","score_opus":0.016661227001157835,"score_gpt":0.22240289425451337,"score_spread":0.20574166725335555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981735734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951497,0.00016800045,0.002305687,0.000179325,0.0000060994544,0.000014859399,0.00027994454,0.000060671777,0.0018358564],"genre_scores_gemma":[0.99873835,0.00012970033,0.00020812673,0.000012268339,0.0000021136734,0.0000034268933,0.00022568148,0.0000045697248,0.00067568885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99980587,0.000020722688,0.000011601582,0.000035138346,0.00005203938,0.000074694544],"domain_scores_gemma":[0.99904853,0.00029413102,0.00036663335,0.000090496105,0.00012262118,0.00007760114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007044137,0.00042183237,0.00045003986,0.0007214944,0.00047850405,0.0009589965,0.0005756502,0.0006075421,0.0018775915],"category_scores_gemma":[0.0039737965,0.00022508754,0.0005896363,0.0008085002,0.00093764596,0.0007554992,0.0010255798,0.00071616686,0.00012697956],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001471762,0.00032496036,0.2197945,0.0002494282,0.00029106918,0.0030979724,0.0011172494,0.6861351,0.0060448786,0.023958556,0.0031129962,0.054401524],"study_design_scores_gemma":[0.00017746711,0.00048161956,0.41893917,0.000078677054,0.00019731499,0.00047989612,0.0029824378,0.5292602,0.007142781,0.03361062,0.00649049,0.00015931415],"about_ca_topic_score_codex":0.12782632,"about_ca_topic_score_gemma":0.08362585,"teacher_disagreement_score":0.12782632,"about_ca_system_score_codex":0.0020340425,"about_ca_system_score_gemma":0.0010330968,"threshold_uncertainty_score":0.25416458},"labels":[],"label_agreement":null},{"id":"W6982936904","doi":"","title":"Langue, Intégration, Immigration : perspective croisée France, Belgique, Suisse et Québec","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Immigration; Field (mathematics); Government (linguistics); Context (archaeology)","score_opus":0.007627721189217133,"score_gpt":0.23561303436273076,"score_spread":0.22798531317351362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6982936904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33774817,0.2723385,0.001856861,0.07104717,0.0022730255,0.00009228146,0.004399092,0.000108815235,0.31013605],"genre_scores_gemma":[0.82459706,0.091983445,0.0013230266,0.0043543302,0.00046178012,0.00005327716,0.0010412817,0.00006671729,0.07611899],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916553,0.00017868943,0.00002139892,0.000076013726,0.00012249457,0.0004358516],"domain_scores_gemma":[0.99935883,0.000095490876,0.00005949197,0.00000998138,0.0002921068,0.00018409664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093898975,0.0005886012,0.00067989406,0.0036636773,0.0058487738,0.005248029,0.00056591886,0.0009704609,0.01260967],"category_scores_gemma":[0.00088956155,0.00020875984,0.00065683626,0.0063726343,0.0031507919,0.0018822756,0.0014214504,0.0024409113,0.00065364176],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000839374,0.00031448953,0.13631542,0.0020351768,0.0005882022,0.0036757751,0.047434866,0.0045760465,0.0025669453,0.3631644,0.118117,0.32037228],"study_design_scores_gemma":[0.0000330213,0.00012201436,0.37025684,0.0023247963,0.00012745247,0.0007400669,0.05757755,0.00065611355,0.00023222766,0.0035865451,0.56424016,0.00010319083],"about_ca_topic_score_codex":0.9794008,"about_ca_topic_score_gemma":0.98319256,"teacher_disagreement_score":0.044004187,"about_ca_system_score_codex":0.044004187,"about_ca_system_score_gemma":0.039636716,"threshold_uncertainty_score":0.31927425},"labels":[],"label_agreement":null},{"id":"W6983072549","doi":"","title":"L’enseignement de la justice sociale en médecine dentaire à l’Université de Montréal : une analyse qualitative et modélisation théorique","year":2020,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social justice; Economic Justice; Context (archaeology); Qualitative analysis","score_opus":0.00864655797513323,"score_gpt":0.2315449600299243,"score_spread":0.22289840205479108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983072549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70808065,0.011656096,0.07007538,0.053402957,0.0005833464,0.008622267,0.0073423553,0.0002630364,0.13997398],"genre_scores_gemma":[0.9427741,0.0037162274,0.023010898,0.0017700342,0.00004315115,0.0039469595,0.0007155941,0.00006840732,0.023954585],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9868461,0.007914378,0.00035319437,0.0011237427,0.0023954506,0.001367298],"domain_scores_gemma":[0.9793817,0.012367007,0.0011504733,0.0007009444,0.005271017,0.0011289449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019620458,0.0005422723,0.0006796939,0.0027965126,0.0132557945,0.009910539,0.0026573655,0.0014220427,0.00873279],"category_scores_gemma":[0.019620312,0.00065358815,0.0010411836,0.0061579742,0.010862037,0.0036945378,0.005408216,0.0025041967,0.00042372898],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010357225,0.00011673495,0.019383496,0.0021618675,0.000063060135,0.00059242605,0.82598484,0.0017567822,0.0011850266,0.09461864,0.010942921,0.043090582],"study_design_scores_gemma":[0.0000491524,0.000113488386,0.035562396,0.0029498136,0.00010707334,0.00010984974,0.8122463,0.003023873,0.00120951,0.008646778,0.13585727,0.00012447714],"about_ca_topic_score_codex":0.8428507,"about_ca_topic_score_gemma":0.84539956,"teacher_disagreement_score":0.8428507,"about_ca_system_score_codex":0.114717275,"about_ca_system_score_gemma":0.13314952,"threshold_uncertainty_score":0.83233595},"labels":[],"label_agreement":null},{"id":"W6984886935","doi":"","title":"Worker Voice","year":2016,"lang":"en","type":"book","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Period (music); Representation (politics); Focus (optics); Employee voice; Test (biology)","score_opus":0.05841468467660852,"score_gpt":0.3644605084126805,"score_spread":0.306045823736072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6984886935","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010785323,0.004403739,0.0011531591,0.0049925908,0.0023157212,0.000020130734,0.00007268456,0.00014491973,0.98581856],"genre_scores_gemma":[0.012704854,0.0024867533,0.0004031684,0.0025072694,0.0006016953,0.00002345829,0.00009288539,0.00013699898,0.981043],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990503,0.00017923782,0.000026607144,0.0001416547,0.00042553694,0.00017667099],"domain_scores_gemma":[0.999548,0.00018225449,0.00003322708,0.00007136473,0.000089457746,0.00007556173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068220374,0.00040275021,0.0003572922,0.0007939905,0.0036474336,0.00639865,0.00090671604,0.0019803848,0.12278311],"category_scores_gemma":[0.0017548508,0.00022656612,0.00037132524,0.0009400267,0.0020912157,0.0046714437,0.0034576433,0.0022180027,0.055909056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031894662,0.000024134293,0.00016967073,0.00018902613,0.0000020556354,0.0001652282,0.01196899,0.00005302079,0.00044328335,0.19876064,0.61998004,0.16821203],"study_design_scores_gemma":[9.974057e-7,0.0000047054773,0.000070408816,0.00008929601,4.4715438e-7,0.000088438515,0.0012738919,0.000009233786,0.000048676287,0.0020792966,0.99633265,0.0000018126219],"about_ca_topic_score_codex":0.0017092566,"about_ca_topic_score_gemma":0.003908945,"teacher_disagreement_score":0.12278311,"about_ca_system_score_codex":0.001580863,"about_ca_system_score_gemma":0.001305836,"threshold_uncertainty_score":0.41075045},"labels":[],"label_agreement":null},{"id":"W6992893368","doi":"","title":"The 15-minute family interview: a family health strategy tool","year":2013,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Family health; Psychological intervention; Intervention (counseling); Qualitative research; Genogram; Work (physics); Qualitative property","score_opus":0.026146489193445453,"score_gpt":0.24828628876202544,"score_spread":0.22213979956858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992893368","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6614348,0.0023225984,0.25270656,0.0057321233,0.0006837713,0.022455348,0.0067602424,0.0018705063,0.04603403],"genre_scores_gemma":[0.5448758,0.0018443281,0.41385612,0.0008860951,0.00014085957,0.029843945,0.0014467968,0.00010800172,0.006998051],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99042344,0.008192962,0.00049514335,0.00022339378,0.00038070226,0.00028441517],"domain_scores_gemma":[0.9823163,0.013149363,0.0018383577,0.0005277836,0.0013467296,0.0008213975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012394467,0.0005496861,0.00031097553,0.0022267639,0.0010999553,0.0006968347,0.0009617859,0.0007337686,0.0055625373],"category_scores_gemma":[0.022225749,0.00037802602,0.00042484814,0.001237325,0.0008139299,0.0013398265,0.0020538336,0.0006630519,0.00078460306],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012800319,0.0006567214,0.029086584,0.0023297311,0.00009361989,0.0015673051,0.2138349,0.0013577369,0.016382493,0.005612778,0.029997589,0.6978006],"study_design_scores_gemma":[0.00066512206,0.0038058667,0.21382143,0.004037508,0.00017200623,0.0071642576,0.26246038,0.0075888396,0.018306278,0.013199565,0.46802968,0.00074918446],"about_ca_topic_score_codex":0.0016953036,"about_ca_topic_score_gemma":0.0044679767,"teacher_disagreement_score":0.012394467,"about_ca_system_score_codex":0.0013448098,"about_ca_system_score_gemma":0.0028468678,"threshold_uncertainty_score":0.065549016},"labels":[],"label_agreement":null},{"id":"W7001342721","doi":"","title":"Internet et pluralisme de l'information : un point de vue du Québec","year":2013,"lang":"fr","type":"other","venue":"Cairn.info","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); The Internet; Context (archaeology); Limiting","score_opus":0.008062119440810773,"score_gpt":0.2031119818569543,"score_spread":0.19504986241614353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001342721","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04643495,0.05312635,0.0032232394,0.19307715,0.0016624806,0.00005267756,0.0015856243,0.0002270047,0.7006105],"genre_scores_gemma":[0.4605495,0.028674323,0.0026514065,0.0069565866,0.0006825395,0.00003089458,0.00046545017,0.00017260296,0.49981666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808097,0.0002915469,0.00005916411,0.00018924572,0.0009201782,0.00045886717],"domain_scores_gemma":[0.99653494,0.0010057088,0.00016782439,0.00023320162,0.0014800236,0.00057819264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016742925,0.00031305666,0.00042757642,0.0017727164,0.0068571144,0.011093164,0.00078446034,0.002170745,0.045637056],"category_scores_gemma":[0.0033755922,0.00025247183,0.00030945154,0.0043447553,0.005138356,0.0038992465,0.0016297316,0.002644559,0.0017785169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086758824,0.00005531893,0.0062656235,0.00033894286,0.000024172952,0.00082293287,0.0069501842,0.0005940484,0.000831277,0.5993978,0.2278139,0.15681902],"study_design_scores_gemma":[0.000011929417,0.000010428329,0.010336562,0.00030081286,0.000008654561,0.00024200376,0.0037178707,0.0005056275,0.0002438983,0.009416611,0.9751772,0.000028273858],"about_ca_topic_score_codex":0.9634187,"about_ca_topic_score_gemma":0.9685619,"teacher_disagreement_score":0.04701885,"about_ca_system_score_codex":0.04701885,"about_ca_system_score_gemma":0.050643984,"threshold_uncertainty_score":0.34114724},"labels":[],"label_agreement":null},{"id":"W7001348759","doi":"","title":"Joe Tilley's Great Canadian Sports Show | Ep 138 | Kerry Goulet: Stop Concussions","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Victory; Ice hockey; Honor; German; Passion; Elite; Football","score_opus":0.005516073890842462,"score_gpt":0.17999269769494658,"score_spread":0.17447662380410411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001348759","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006658365,0.017943067,0.0006334631,0.63176155,0.056141388,0.00016427405,0.0013054328,0.0004395015,0.28495288],"genre_scores_gemma":[0.052250043,0.014236258,0.0011350681,0.1906904,0.0066192183,0.00012822612,0.000618711,0.0006322481,0.7336898],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99745196,0.00035733273,0.00003882398,0.00023161784,0.0011842881,0.00073595083],"domain_scores_gemma":[0.99461704,0.00030661578,0.00009113253,0.00010783416,0.0020731713,0.002804127],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014173392,0.000738164,0.00043416713,0.00095841463,0.024711503,0.0070288046,0.0016039914,0.0051699304,0.0748102],"category_scores_gemma":[0.0064262087,0.00040018605,0.00048265874,0.0011317875,0.004181434,0.0028877475,0.0040885415,0.0074189636,0.013543655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033783115,0.000009093316,0.0002759344,0.000016943717,0.0000015829175,0.0000840432,0.0010080559,0.0000048371776,0.000044147273,0.0006139459,0.9944048,0.003533261],"study_design_scores_gemma":[0.0000019441316,0.000005145983,0.0008547118,0.00009716454,0.0000020569948,0.00011578733,0.007105762,0.000008037211,0.000034286557,0.0001248646,0.99163777,0.000012532527],"about_ca_topic_score_codex":0.8444867,"about_ca_topic_score_gemma":0.96217495,"teacher_disagreement_score":0.9251898,"about_ca_system_score_codex":0.020171907,"about_ca_system_score_gemma":0.036379483,"threshold_uncertainty_score":0.31285822},"labels":[],"label_agreement":null},{"id":"W7001579767","doi":"","title":"Köyhät, ympäristö vai molemmat ? - Ympäristöasiantuntijoiden näkemyksiä Suomen kehityspolitiikasta","year":2013,"lang":"fi","type":"other","venue":"Trepo - Institutional Repository of Tampere University","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Value (mathematics); Quarter (Canadian coin)","score_opus":0.008774389019627392,"score_gpt":0.1886773678416546,"score_spread":0.1799029788220272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001579767","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18207815,0.018759938,0.0076753176,0.048191432,0.004077546,0.00022711401,0.0021893927,0.0006479713,0.7361531],"genre_scores_gemma":[0.33374894,0.012674217,0.00614029,0.00724177,0.00069506135,0.00015993655,0.0012998467,0.00030901798,0.63773096],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99933165,0.00012327534,0.0000349438,0.00014813681,0.00016971906,0.00019229652],"domain_scores_gemma":[0.99932134,0.00009527081,0.000107395084,0.000058729358,0.00018866696,0.00022853429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008656176,0.00034614553,0.00033232756,0.00041792207,0.0024357338,0.0037095572,0.00053782103,0.0012288691,0.06946915],"category_scores_gemma":[0.0015519091,0.0002962476,0.00032599506,0.00057661365,0.0010907328,0.0020542028,0.0033241967,0.001788885,0.01989236],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073534605,0.00056353415,0.080055125,0.0016117563,0.00010138387,0.0044177608,0.035448406,0.0002677501,0.018431662,0.121862836,0.2293647,0.50713974],"study_design_scores_gemma":[0.0000099311455,0.00007545932,0.011854979,0.00020487396,0.000017417573,0.00087862404,0.006358577,0.00006726716,0.0015077435,0.0022110017,0.9767958,0.00001828824],"about_ca_topic_score_codex":0.007268666,"about_ca_topic_score_gemma":0.016234355,"teacher_disagreement_score":0.06946915,"about_ca_system_score_codex":0.0015004514,"about_ca_system_score_gemma":0.0035848015,"threshold_uncertainty_score":0.2323975},"labels":[],"label_agreement":null},{"id":"W7001588299","doi":"","title":"Les études urbaines au Québec : regards sur les dix dernières années","year":2023,"lang":"fr","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Action (physics); Work (physics); Data collection","score_opus":0.10586227624891333,"score_gpt":0.33098597738073177,"score_spread":0.22512370113181845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001588299","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41958705,0.07835146,0.0107623795,0.03963173,0.0024492282,0.0007389444,0.030065356,0.0010108522,0.417403],"genre_scores_gemma":[0.42703098,0.028237145,0.0073427,0.0033126804,0.00029664207,0.0003379662,0.0050772037,0.00028612278,0.5280786],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99868315,0.00020405604,0.00006751436,0.00017573929,0.00047910822,0.0003905031],"domain_scores_gemma":[0.997572,0.00044819445,0.00019060765,0.0000785923,0.00130636,0.00040428675],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0013344306,0.000999316,0.00049945794,0.0030378336,0.005472528,0.0036889308,0.00094880065,0.0014755046,0.02233958],"category_scores_gemma":[0.0031664302,0.00045940967,0.00087021734,0.007440283,0.0016418814,0.001288226,0.0011024441,0.0025762194,0.0016859167],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009965886,0.00043179517,0.16501786,0.0019264492,0.00040091053,0.0044625467,0.0206163,0.0075384164,0.006151811,0.082375415,0.15953515,0.5505468],"study_design_scores_gemma":[0.000050509578,0.000070508104,0.27242437,0.00070649286,0.00005399562,0.00039260276,0.0062815472,0.0013922512,0.0012729928,0.00084132055,0.7164223,0.00009116859],"about_ca_topic_score_codex":0.99630004,"about_ca_topic_score_gemma":0.99760145,"teacher_disagreement_score":0.9969622,"about_ca_system_score_codex":0.05044516,"about_ca_system_score_gemma":0.04855787,"threshold_uncertainty_score":0.36600697},"labels":[],"label_agreement":null},{"id":"W7001691074","doi":"","title":"Learning Spaces - International Graduate Students’ Perceptions In A Canadian Post-Secondary Institution","year":2023,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Institution; Perception; Graduate students; Academic institution; Qualitative research; Experiential learning","score_opus":0.008090050125850644,"score_gpt":0.19994601237313966,"score_spread":0.191855962247289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001691074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858037,0.00021941496,0.00012868956,0.0013992245,0.000041097304,0.000052481155,0.00011761215,0.00000956942,0.012228143],"genre_scores_gemma":[0.9902574,0.00041159164,0.00017164469,0.00054545916,0.0000073355386,0.00003093704,0.00005598636,0.00001745329,0.008502232],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99612087,0.00069768913,0.000085061285,0.0003392116,0.0009294832,0.0018277755],"domain_scores_gemma":[0.99331117,0.0005862796,0.00039720995,0.00007879153,0.0017175383,0.003909105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004069778,0.00046862886,0.0006977381,0.0019686064,0.02388655,0.008711912,0.0016083852,0.0010849843,0.007466267],"category_scores_gemma":[0.0047600046,0.00035827077,0.00045014624,0.0031612075,0.009256759,0.002299294,0.005802048,0.0035814303,0.0005610019],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049473252,0.00010915326,0.020536115,0.00006358152,0.0000045518536,0.0003864313,0.9663476,0.000028054594,0.000720413,0.0019015557,0.0021795728,0.0076735187],"study_design_scores_gemma":[0.0000016589908,0.000028541072,0.012359664,0.000048035836,0.0000021900726,0.00002954335,0.97881603,0.0000145812455,0.00008104939,0.000033706565,0.008570251,0.000014717109],"about_ca_topic_score_codex":0.89313936,"about_ca_topic_score_gemma":0.9607891,"teacher_disagreement_score":0.10686064,"about_ca_system_score_codex":0.041877665,"about_ca_system_score_gemma":0.060440697,"threshold_uncertainty_score":0.30384517},"labels":[],"label_agreement":null},{"id":"W7001737105","doi":"","title":"Le Nursing à l'Université Laval : rapport /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Qualitative research; MEDLINE; Nursing care","score_opus":0.012263283250047276,"score_gpt":0.2102284291035028,"score_spread":0.19796514585345554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001737105","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017947735,0.041062385,0.0016886492,0.1308781,0.0129053155,0.0006203416,0.015496589,0.0011486871,0.77825207],"genre_scores_gemma":[0.03899178,0.009256127,0.0010308065,0.0027458824,0.0006852289,0.00012635306,0.0019062128,0.0002622862,0.9449953],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974522,0.0003200738,0.0000730941,0.00020161425,0.0011280704,0.00082491967],"domain_scores_gemma":[0.9920242,0.0007899155,0.00021295768,0.00031663914,0.0035906706,0.0030655875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028590818,0.00096339814,0.00057408836,0.0025295264,0.005922955,0.006183902,0.002092193,0.004458663,0.23978737],"category_scores_gemma":[0.0057540755,0.000474332,0.00078374863,0.0028824224,0.0014693498,0.0015870391,0.0022843296,0.0028633673,0.026962688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102006175,0.000113481394,0.0035638697,0.00024646978,0.000015132121,0.0002291655,0.00042977178,0.00019571582,0.00019804647,0.0059485324,0.8990596,0.089898214],"study_design_scores_gemma":[0.000027975122,0.000025607229,0.022216452,0.00038801905,0.000009639348,0.00012238274,0.0009953068,0.00023890642,0.00042294728,0.0003790429,0.9751456,0.000028130453],"about_ca_topic_score_codex":0.9074431,"about_ca_topic_score_gemma":0.95681876,"teacher_disagreement_score":0.9624109,"about_ca_system_score_codex":0.037589088,"about_ca_system_score_gemma":0.067486,"threshold_uncertainty_score":0.80216867},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":true,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W7001762980","doi":"","title":"Les jardins de la Nouvelle-France : quelques arômes retrouvés","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Colonisation; Prospection; Granulometry; Diarylheptanoids","score_opus":0.011405978613701446,"score_gpt":0.22557444032556126,"score_spread":0.21416846171185983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001762980","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3262694,0.025528233,0.014755015,0.01753254,0.0014563983,0.00009198235,0.0020125667,0.0012322323,0.61112165],"genre_scores_gemma":[0.74451286,0.006239308,0.00956588,0.0014163681,0.00034957143,0.000028663693,0.0006099426,0.0007221066,0.23655537],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903226,0.0001899183,0.000019872814,0.00020188683,0.0004271495,0.00012892767],"domain_scores_gemma":[0.9994473,0.0001191367,0.000071786875,0.00007792273,0.00018889853,0.00009499556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008555077,0.0006527923,0.00039224347,0.0010839258,0.005153845,0.0070606996,0.0005759372,0.0015194584,0.017148396],"category_scores_gemma":[0.0016782169,0.00033729302,0.00036868697,0.0017639039,0.003083308,0.004199884,0.0015394285,0.0016271897,0.00269511],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010906522,0.00020225886,0.023296988,0.0013458744,0.00009882813,0.0043489775,0.09213079,0.0009775946,0.036254436,0.24945827,0.12377148,0.46702397],"study_design_scores_gemma":[0.000009058239,0.00003838989,0.014104507,0.00014499239,0.000010416488,0.0008668983,0.005968537,0.00017742321,0.0020124076,0.0024951342,0.97413695,0.00003536821],"about_ca_topic_score_codex":0.08300451,"about_ca_topic_score_gemma":0.17970522,"teacher_disagreement_score":0.91699547,"about_ca_system_score_codex":0.0037029968,"about_ca_system_score_gemma":0.0020067177,"threshold_uncertainty_score":0.16504276},"labels":[],"label_agreement":null},{"id":"W7001843637","doi":"","title":"Les Classes d’Accueil et d’Immersion : strate´gies, pratiques et croyances","year":2016,"lang":"fr","type":"article","venue":"Scholarship@Western (Western University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Romance languages; Linguistic analysis","score_opus":0.13535205494922234,"score_gpt":0.35028749030414175,"score_spread":0.2149354353549194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001843637","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22759448,0.047971282,0.023125857,0.20992467,0.0032434696,0.00008284954,0.000102514634,0.00019580314,0.48775905],"genre_scores_gemma":[0.8864199,0.009098011,0.0028425371,0.0075162374,0.00082165183,0.00010508089,0.000043663676,0.0001997991,0.09295311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9960014,0.002043127,0.00012610476,0.0006041269,0.00067933043,0.00054586225],"domain_scores_gemma":[0.99610656,0.0022620438,0.00032811362,0.00026086404,0.00043730938,0.0006050775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045539844,0.00056642987,0.00050992385,0.0010945502,0.007175907,0.011106972,0.0011818176,0.0033372133,0.008992981],"category_scores_gemma":[0.007030699,0.00036302538,0.00028887513,0.0010491736,0.04382584,0.009617742,0.0069411164,0.010801658,0.0012469395],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003622787,0.000029791136,0.0012030918,0.00013639903,0.0000052015293,0.0002052059,0.2808668,0.00004623683,0.0003705858,0.6630996,0.011103667,0.04289715],"study_design_scores_gemma":[0.000012853486,0.00006143539,0.005765864,0.0006618307,0.000008107767,0.0005437967,0.14682342,0.00027344452,0.0007138119,0.114271306,0.7308156,0.000048598282],"about_ca_topic_score_codex":0.023662351,"about_ca_topic_score_gemma":0.026182748,"teacher_disagreement_score":0.023662351,"about_ca_system_score_codex":0.0069605485,"about_ca_system_score_gemma":0.0034312962,"threshold_uncertainty_score":0.0505026},"labels":[],"label_agreement":null},{"id":"W7001963867","doi":"","title":"Long-life bridges using NRC's new concrete technology","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Deformation (meteorology); Welding; Bridge (graph theory)","score_opus":0.036933904142648744,"score_gpt":0.24447118991876485,"score_spread":0.2075372857761161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001963867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6610171,0.0029177621,0.13453864,0.0023893772,0.0005980266,0.00057493226,0.0011386607,0.0016524984,0.19517295],"genre_scores_gemma":[0.76768863,0.001276709,0.12292827,0.00022117872,0.00009795839,0.0001611436,0.00088559615,0.00016024556,0.10658037],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981975,0.00013677977,0.000084040286,0.00028254392,0.0011610813,0.00013815948],"domain_scores_gemma":[0.9985373,0.00013560858,0.00012521654,0.000357187,0.0007115849,0.00013314481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002187683,0.000470902,0.00033639258,0.0011097953,0.0009920747,0.0014350743,0.0008899392,0.0012467869,0.008350035],"category_scores_gemma":[0.0016752413,0.00030651037,0.00039861913,0.00087193295,0.0008443065,0.0012629871,0.0011604897,0.0011000728,0.0025451547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004277028,0.00051220035,0.018435393,0.00058346195,0.00006777571,0.0015153318,0.001664911,0.014408972,0.3228068,0.052179396,0.012203347,0.5751947],"study_design_scores_gemma":[0.000127516,0.0018425173,0.083337404,0.0004268643,0.00018501734,0.0039200513,0.001579072,0.021577198,0.12613417,0.004512145,0.75614685,0.00021105575],"about_ca_topic_score_codex":0.0287315,"about_ca_topic_score_gemma":0.093533166,"teacher_disagreement_score":0.9712685,"about_ca_system_score_codex":0.0020210932,"about_ca_system_score_gemma":0.004219018,"threshold_uncertainty_score":0.05712849},"labels":[],"label_agreement":null},{"id":"W7001979707","doi":"","title":"Los Lonely Boys Live at Chesapeake Bay Blues Festival on 2009-05-16","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blues; Chesapeake bay; Dream; Heaven; Nova scotia","score_opus":0.005904681261556641,"score_gpt":0.1855647218720624,"score_spread":0.17966004061050578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001979707","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027357675,0.00032975792,0.0003496126,0.0034487892,0.0021026146,0.00011222851,0.009177859,0.0020112158,0.97973204],"genre_scores_gemma":[0.0024137835,0.000107463275,0.00015384113,0.00019814911,0.000085904394,0.000021971115,0.0015962368,0.0002057083,0.99521697],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982846,0.000011335369,0.0000030173514,0.000028440913,0.00007041282,0.000058281097],"domain_scores_gemma":[0.99945027,0.000020292206,0.000014794986,0.000026280208,0.00019692251,0.00029141837],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037591203,0.0009309603,0.0003672011,0.00059568236,0.004688511,0.0028327561,0.0007661522,0.0006679689,0.78420925],"category_scores_gemma":[0.0006096802,0.00031423778,0.00020008099,0.00048066152,0.0003628731,0.0010692843,0.002426353,0.0015423872,0.45092794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027380393,0.000013355341,0.0002281942,0.000012446362,6.8103174e-7,0.000032391283,0.000044446493,0.000008252442,0.00007914367,0.0002013993,0.99049217,0.008860172],"study_design_scores_gemma":[0.000006194132,0.0000108837585,0.0011413279,0.00002785907,8.984394e-7,0.000015713693,0.00027228473,0.00002789169,0.00010051926,0.00007023401,0.9983229,0.0000033745293],"about_ca_topic_score_codex":0.05048704,"about_ca_topic_score_gemma":0.33457634,"teacher_disagreement_score":0.78420925,"about_ca_system_score_codex":0.0014638675,"about_ca_system_score_gemma":0.0012934591,"threshold_uncertainty_score":0.30779928},"labels":[],"label_agreement":null},{"id":"W7002030829","doi":"","title":"Mejora del proceso de producción en planta vinícola","year":2021,"lang":"es","type":"dissertation","venue":"UPNBox (Universidad Privada del Norte)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Water Research Institute","keywords":"Context (archaeology); Work (physics); Business process reengineering","score_opus":0.007135833420354333,"score_gpt":0.23116289171205806,"score_spread":0.22402705829170372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002030829","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6538555,0.080979496,0.12915006,0.005038884,0.00077194977,0.0005715794,0.0038062271,0.0007702753,0.12505598],"genre_scores_gemma":[0.9079892,0.031722397,0.029098827,0.00062573585,0.000107231695,0.00022569187,0.0012082632,0.00025394585,0.028768605],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99762946,0.00064247893,0.00014977218,0.00054054055,0.00085102126,0.00018681338],"domain_scores_gemma":[0.99678016,0.0014654057,0.00044861494,0.00031454535,0.00085025054,0.00014108476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036202215,0.0007400524,0.0008976943,0.001669596,0.0011061308,0.0067307954,0.0010315615,0.0009674444,0.0061384006],"category_scores_gemma":[0.003292931,0.00045460422,0.0013946693,0.0023524147,0.0014236362,0.0037477112,0.0016944621,0.0014387121,0.0010398692],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012125514,0.0004890715,0.062224146,0.015583179,0.00053026376,0.0016117712,0.013933407,0.01686205,0.2449979,0.07617254,0.0039392314,0.56244385],"study_design_scores_gemma":[0.00006306752,0.001787835,0.17516719,0.005551805,0.0009397073,0.0018482188,0.022469876,0.0169746,0.28886402,0.042675022,0.44326854,0.00039012998],"about_ca_topic_score_codex":0.011781041,"about_ca_topic_score_gemma":0.010450258,"teacher_disagreement_score":0.011781041,"about_ca_system_score_codex":0.0033122983,"about_ca_system_score_gemma":0.0034725908,"threshold_uncertainty_score":0.024032593},"labels":[],"label_agreement":null},{"id":"W7002053343","doi":"","title":"Methodological guide to deploy Functional Analysis into CODAC Systems for the Tritium Processing in ITER","year":2018,"lang":"en","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fusion power; Tokamak; Tritium; Fusion; Work (physics)","score_opus":0.047815440685125214,"score_gpt":0.3246348271618701,"score_spread":0.27681938647674487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002053343","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00093853433,0.0004602577,0.9561884,0.00041279526,0.00017892181,0.001002276,0.0027384646,0.004122703,0.03395768],"genre_scores_gemma":[0.0065799775,0.00070501486,0.97006476,0.00021904422,0.00004469151,0.0021027944,0.0024717664,0.0015837033,0.01622815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975321,0.0008134222,0.00036767108,0.00032139735,0.000832633,0.00013263876],"domain_scores_gemma":[0.9960295,0.0014402865,0.00020188828,0.00085219566,0.0013599554,0.00011613753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005560464,0.0013893837,0.00059261615,0.0025593003,0.0012452928,0.0039829775,0.002959357,0.0012661121,0.0455322],"category_scores_gemma":[0.010378456,0.0009636552,0.0015901482,0.0021769302,0.0011755073,0.0030363884,0.0027175057,0.0032567405,0.023274172],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012993182,0.0003082438,0.0014442846,0.0019867818,0.0000775805,0.00051677565,0.002573297,0.012577488,0.010959638,0.5158095,0.06547492,0.38814163],"study_design_scores_gemma":[0.000036093374,0.00013146359,0.0008988379,0.0010078558,0.00003003576,0.00033159275,0.0009931122,0.023240946,0.0061119027,0.0929995,0.87415946,0.00005925935],"about_ca_topic_score_codex":0.004548706,"about_ca_topic_score_gemma":0.0053868205,"teacher_disagreement_score":0.0455322,"about_ca_system_score_codex":0.0013795655,"about_ca_system_score_gemma":0.004019906,"threshold_uncertainty_score":0.15232038},"labels":[],"label_agreement":null},{"id":"W7002096453","doi":"","title":"Mineral nitrogen variability across and within landscape positions","year":2018,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Nitrogen; Mineral; Climate change; Precipitation","score_opus":0.0064595530607138504,"score_gpt":0.24253520300695916,"score_spread":0.2360756499462453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002096453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74559563,0.0006245319,0.03918222,0.00084551156,0.00013812486,0.00004206368,0.016809816,0.0046094386,0.19215262],"genre_scores_gemma":[0.9247248,0.00039452844,0.016106483,0.00004616822,0.000042477717,0.00001539649,0.008651327,0.0010551944,0.04896358],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998815,0.0000044125372,0.0000025852,0.000050298197,0.00004803732,0.000013126751],"domain_scores_gemma":[0.9999068,0.000012993041,0.000009970009,0.000018085906,0.00004050176,0.000011599268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012972036,0.00016720557,0.00014221689,0.0008757226,0.00024781958,0.00078967476,0.0003454333,0.00038071748,0.011084698],"category_scores_gemma":[0.0003769473,0.00009936229,0.000199808,0.0009903456,0.00021266358,0.0004658137,0.00048067208,0.00013589929,0.0031474659],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001001947,0.00013998589,0.14573301,0.0002918426,0.00013369233,0.0006954316,0.00030774582,0.02842902,0.08445503,0.0082168495,0.03990313,0.69069237],"study_design_scores_gemma":[0.000100274636,0.00010578151,0.45089954,0.00009046427,0.00012932964,0.00079476647,0.00045777328,0.20524877,0.07617363,0.012001319,0.25391227,0.00008611482],"about_ca_topic_score_codex":0.013382583,"about_ca_topic_score_gemma":0.030313088,"teacher_disagreement_score":0.013382583,"about_ca_system_score_codex":0.00039661393,"about_ca_system_score_gemma":0.00032255333,"threshold_uncertainty_score":0.037082016},"labels":[],"label_agreement":null},{"id":"W7002284033","doi":"","title":"MetroWest growth impacts study: Ashland, Framingham, Natick, Southborough, Sudbury, Wayland, Wellesley, Weston","year":2020,"lang":"en","type":"book","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Fusible alloy","score_opus":0.006444506358799818,"score_gpt":0.20249518523323165,"score_spread":0.19605067887443184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002284033","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022219747,0.08343904,0.004916403,0.007901232,0.0026654492,0.0006251092,0.21407671,0.0024572453,0.66169906],"genre_scores_gemma":[0.015006446,0.019770298,0.0023681233,0.00020405087,0.00016065425,0.00026009153,0.031181227,0.0006590864,0.93038994],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99977845,0.000018511666,0.000010624051,0.00005455653,0.000098440854,0.000039396753],"domain_scores_gemma":[0.99952674,0.000070944596,0.000028462118,0.00003761345,0.00020972254,0.00012649341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072927534,0.0013497968,0.00077052956,0.0030596647,0.0012758127,0.0017411851,0.0011629426,0.0005030797,0.18918948],"category_scores_gemma":[0.000756346,0.0008306401,0.00042445085,0.008713176,0.00038197226,0.0019597476,0.0013762449,0.0008997584,0.046441898],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004872909,0.000035261364,0.0027566052,0.00013017692,0.00000587127,0.00007414966,0.0003262624,0.00018330109,0.00019197316,0.0007790783,0.8908728,0.1045957],"study_design_scores_gemma":[0.000018291914,0.00002445703,0.038548075,0.00028262538,0.000013600319,0.00008790029,0.0013102865,0.00011807314,0.0002900617,0.00047378713,0.95881915,0.00001368092],"about_ca_topic_score_codex":0.22382052,"about_ca_topic_score_gemma":0.60125893,"teacher_disagreement_score":0.22382052,"about_ca_system_score_codex":0.0020836846,"about_ca_system_score_gemma":0.0034654138,"threshold_uncertainty_score":0.63290185},"labels":[],"label_agreement":null},{"id":"W7002297407","doi":"","title":"Modelling the Archaeologist's Thinking for the Automatic Classification of Uruk / Jamdat Nasr Seals Images","year":2007,"lang":"en","type":"article","venue":"ARCA (Università Ca' Foscari Venezia)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Feature (linguistics); Object (grammar); Perspective (graphical); Field (mathematics)","score_opus":0.03351205131407855,"score_gpt":0.2551410615369234,"score_spread":0.22162901022284484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002297407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6635176,0.0004821048,0.31747955,0.0013407506,0.00010431062,0.0001577677,0.00057373825,0.00054756796,0.015796563],"genre_scores_gemma":[0.92478895,0.0001502405,0.07217021,0.000030592713,0.000014381629,0.000038326914,0.00021486956,0.00006315226,0.0025293294],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994814,0.00021420297,0.00002915243,0.00012647513,0.000071912466,0.00007682855],"domain_scores_gemma":[0.9986725,0.00079684716,0.00016379231,0.00009999398,0.00019335448,0.00007359486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014271676,0.00041374305,0.0002130754,0.0016454738,0.00060257694,0.0028861319,0.00059013977,0.0007945199,0.0033354277],"category_scores_gemma":[0.0043400284,0.0004451637,0.0006381621,0.000982343,0.0011854825,0.0015095545,0.000669464,0.0006997859,0.00068166695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024791663,0.00038546062,0.14717998,0.0007419656,0.00028163998,0.0025632551,0.030523712,0.26923224,0.05799349,0.11946264,0.007130686,0.36202586],"study_design_scores_gemma":[0.00003466331,0.0000771302,0.016659394,0.00011539393,0.00006981516,0.00038604127,0.0039394745,0.94578105,0.0059278808,0.019497238,0.007452528,0.000059348407],"about_ca_topic_score_codex":0.018305145,"about_ca_topic_score_gemma":0.032966934,"teacher_disagreement_score":0.018305145,"about_ca_system_score_codex":0.0013199577,"about_ca_system_score_gemma":0.001498615,"threshold_uncertainty_score":0.03639722},"labels":[],"label_agreement":null},{"id":"W7005360107","doi":"","title":"Prematüre ve zamanında doğan bebeklerde gövde kontrolünün incelenmesi","year":2014,"lang":"tr","type":"other","venue":"Marmara University Open Access System","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Full Term; Electrodiagnosis; Motor activity; Trunk","score_opus":0.02223325131564349,"score_gpt":0.2699678858513387,"score_spread":0.2477346345356952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005360107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52254814,0.15039806,0.011659735,0.08195917,0.011341457,0.000684056,0.0045421678,0.00088288955,0.2159843],"genre_scores_gemma":[0.7609825,0.084722765,0.01119094,0.008533362,0.001958896,0.00055587833,0.003381841,0.0003298281,0.12834403],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987419,0.0003302986,0.00014807875,0.00018231099,0.00033750184,0.00025987366],"domain_scores_gemma":[0.9981521,0.00032699248,0.00030767592,0.00008421826,0.0006405622,0.00048847595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013481509,0.0005954402,0.00072015484,0.000875157,0.002182484,0.001953427,0.00073264685,0.0017596176,0.028473588],"category_scores_gemma":[0.0035925747,0.00034835062,0.0011069028,0.0005865498,0.00083932996,0.0012454577,0.0022114348,0.0023282364,0.0054059285],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027181332,0.0011320258,0.11136615,0.0045182058,0.00030519036,0.010122858,0.0078103035,0.0005326459,0.008592859,0.017097693,0.16550955,0.6702943],"study_design_scores_gemma":[0.0002902597,0.002365353,0.29111496,0.0058120466,0.0004297229,0.02246201,0.016114486,0.0012887385,0.0093612,0.011091692,0.63936305,0.0003065505],"about_ca_topic_score_codex":0.009134468,"about_ca_topic_score_gemma":0.009947087,"teacher_disagreement_score":0.028473588,"about_ca_system_score_codex":0.0017982911,"about_ca_system_score_gemma":0.0047261748,"threshold_uncertainty_score":0.09525365},"labels":[],"label_agreement":null},{"id":"W7005577927","doi":"","title":"Reactivity of low-valent iridium thiolate complexes","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Iridium; Reactivity (psychology); Thiol; Nucleophile; Metal; Crystal structure; Infrared spectroscopy; Oxidative addition","score_opus":0.019199823481156657,"score_gpt":0.2562697240741505,"score_spread":0.23706990059299385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005577927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98999107,0.0014694511,0.0007800799,0.00009950112,0.00001867265,0.000018476345,0.00010002459,0.000064632724,0.007458173],"genre_scores_gemma":[0.99181515,0.0006769633,0.0013385129,0.000048871178,0.0000070574206,0.000012544574,0.00025452065,0.000022837186,0.0058235275],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997048,0.000082484,0.000015696864,0.000056459667,0.00007818237,0.00006235942],"domain_scores_gemma":[0.99991417,0.000016902955,0.000016932596,0.000013589785,0.00002108182,0.000017334158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025872202,0.000221981,0.00023361424,0.00017225099,0.00024040391,0.00052350713,0.00056762155,0.00033501748,0.0019336959],"category_scores_gemma":[0.00028020455,0.00011203511,0.00011382178,0.00019106331,0.00020118096,0.00017566684,0.00036456418,0.00040320528,0.00042776883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032069098,0.00005866906,0.00038390065,0.00024745933,0.000031876254,0.00010928018,0.00021683624,0.0007827843,0.9905331,0.0011732284,0.00052604574,0.005616155],"study_design_scores_gemma":[0.000019514066,0.0003329084,0.0005306365,0.000009645544,0.000015571923,0.00011839892,0.000054405595,0.0006296374,0.9936892,0.000057244313,0.0045301174,0.000012702125],"about_ca_topic_score_codex":0.0005758985,"about_ca_topic_score_gemma":0.0010036563,"teacher_disagreement_score":0.0019336959,"about_ca_system_score_codex":0.00042041647,"about_ca_system_score_gemma":0.00011948561,"threshold_uncertainty_score":0.0064688325},"labels":[],"label_agreement":null},{"id":"W7005744071","doi":"","title":"A Review of Municipal Asset Management Plans for Stormwater Asset Management Program in Selected Single-Tier Municipalities in Ontario: The Successful Implementation of O.Reg. 588/17","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Asset management; Stormwater; Asset (computer security); Stormwater management; IT asset management; Green infrastructure; Service (business)","score_opus":0.07546348861092972,"score_gpt":0.34271301730836123,"score_spread":0.2672495286974315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005744071","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1451421,0.7383153,0.0029034736,0.032274295,0.0012551267,0.0025855287,0.009784972,0.00018096478,0.06755839],"genre_scores_gemma":[0.3289426,0.64534414,0.008184622,0.0029748983,0.00016143735,0.00088428875,0.0052062417,0.000080255326,0.008221488],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9926704,0.0010617094,0.0013907205,0.00024635223,0.004084535,0.00054623326],"domain_scores_gemma":[0.96570665,0.006358822,0.005481192,0.0005978111,0.01997206,0.0018835481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0098910425,0.00036966926,0.00062380853,0.006594853,0.0027535656,0.0027572906,0.0019340107,0.0006410794,0.0017386111],"category_scores_gemma":[0.027333818,0.0006612448,0.0006605145,0.017118292,0.001434238,0.001180653,0.0010989127,0.00071148935,0.00021147604],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020860675,0.00009179638,0.06890694,0.07866384,0.0003206402,0.0023256014,0.044555053,0.0017652401,0.00308582,0.0072294194,0.11828611,0.6745611],"study_design_scores_gemma":[0.000031846965,0.00011292776,0.25032774,0.033862166,0.00043468722,0.0004726917,0.020528922,0.00032005506,0.0006645075,0.00025062816,0.6928873,0.00010648904],"about_ca_topic_score_codex":0.94510347,"about_ca_topic_score_gemma":0.9846502,"teacher_disagreement_score":0.07113076,"about_ca_system_score_codex":0.07113076,"about_ca_system_score_gemma":0.21293935,"threshold_uncertainty_score":0.5160922},"labels":[],"label_agreement":null},{"id":"W7006127978","doi":"","title":"Suivez le guide : Ã©tudes comportementales et Ã©lectrophysiologiques du rÃ´le des contrÃ´les attentionnels descendants dans le dÃ©ploiement de lâattention visuospatiale","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Video recording; Stimulus (psychology); Poison control","score_opus":0.004859771416566183,"score_gpt":0.1658205190475596,"score_spread":0.1609607476309934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006127978","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062723644,0.08961479,0.1548029,0.30645433,0.018813895,0.0006391732,0.004343181,0.005598573,0.35700953],"genre_scores_gemma":[0.17329781,0.04551533,0.059678685,0.06430495,0.0031102656,0.0006157219,0.001181489,0.0013273566,0.6509684],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99943966,0.00011064517,0.000022979653,0.00019286813,0.00017727293,0.000056593675],"domain_scores_gemma":[0.9980414,0.0007256913,0.00012580582,0.0001980376,0.00072159135,0.00018753415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013699587,0.00109452,0.000674328,0.0015295431,0.0016192888,0.003723969,0.0013039787,0.003461454,0.029906835],"category_scores_gemma":[0.0039554825,0.0004821658,0.0010143878,0.0006179567,0.00400338,0.0061993087,0.0022629544,0.0044363104,0.008992093],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071329,0.0001780314,0.0050206706,0.0014044172,0.00023341307,0.0019277057,0.006273918,0.0014201904,0.028785521,0.239075,0.44344723,0.2715206],"study_design_scores_gemma":[0.00012476536,0.00039123525,0.010306933,0.00067407574,0.00009676315,0.0018114772,0.0027093044,0.0019925216,0.014633782,0.09197322,0.87506825,0.00021772417],"about_ca_topic_score_codex":0.013379555,"about_ca_topic_score_gemma":0.024164507,"teacher_disagreement_score":0.029906835,"about_ca_system_score_codex":0.00219039,"about_ca_system_score_gemma":0.0030832465,"threshold_uncertainty_score":0.10004836},"labels":[],"label_agreement":null},{"id":"W7010238866","doi":"","title":"1970 House Bill 2869. An Act To Provide Method For Recall From Office Of Certain Town Officials.","year":2016,"lang":"en","type":"other","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislature; Recall; Legislation; Quarter (Canadian coin); Legislative intent","score_opus":0.009077594165305172,"score_gpt":0.24008620094274186,"score_spread":0.23100860677743668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010238866","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016022708,0.001402083,0.000922325,0.007854989,0.0019901183,0.00020263033,0.007912962,0.0006379443,0.97747463],"genre_scores_gemma":[0.004366923,0.0004546337,0.0004994213,0.0037102052,0.00019510298,0.00010035334,0.0016042591,0.00015117711,0.98891795],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99756396,0.00020558474,0.00015294322,0.0002679342,0.0013637115,0.0004458236],"domain_scores_gemma":[0.99782145,0.000422881,0.000115488845,0.00018138786,0.0012988996,0.00015986034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014465634,0.0010351036,0.0004281303,0.0015044578,0.0056119626,0.0028922297,0.0012425629,0.0054508257,0.18645681],"category_scores_gemma":[0.006156104,0.0009832939,0.0005877785,0.0015049824,0.0013392951,0.0019367416,0.0014885439,0.0056156837,0.13270068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003085226,0.000027181362,0.00020286223,0.00003461173,0.0000024316248,0.00007302873,0.00015977341,0.00004543296,0.00020819568,0.02933378,0.95754004,0.0123417415],"study_design_scores_gemma":[0.000010480517,0.000010231782,0.0015896338,0.000064024556,0.0000048077245,0.000045308767,0.000102101774,0.000031480395,0.0002089519,0.0010698292,0.9968526,0.00001063729],"about_ca_topic_score_codex":0.1924952,"about_ca_topic_score_gemma":0.36148444,"teacher_disagreement_score":0.1924952,"about_ca_system_score_codex":0.00544295,"about_ca_system_score_gemma":0.00870361,"threshold_uncertainty_score":0.6237602},"labels":[],"label_agreement":null},{"id":"W7010343100","doi":"","title":"Impressions from the TICCIH Congress","year":2022,"lang":"en","type":"article","venue":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Work (physics)","score_opus":0.0174553991234693,"score_gpt":0.2178273968704907,"score_spread":0.2003719977470214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010343100","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065049115,0.104564756,0.000392385,0.4532447,0.2572141,0.00020337399,0.0017865115,0.00022874917,0.17586057],"genre_scores_gemma":[0.13088828,0.072869465,0.00094602426,0.20388241,0.14409791,0.0003851015,0.0022151205,0.00069728587,0.44401836],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99173874,0.00095272245,0.00023826808,0.00044211457,0.005375992,0.001252225],"domain_scores_gemma":[0.98265165,0.0026425165,0.0007526943,0.0005049165,0.011424102,0.0020240967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00810719,0.0009721816,0.00069600315,0.005612868,0.00887914,0.013334769,0.0013692016,0.004051545,0.02720097],"category_scores_gemma":[0.025245247,0.00041216466,0.00073720794,0.004821068,0.0033054624,0.0023830216,0.0029343169,0.0060300655,0.005914744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000232741,0.000006640935,0.00014591399,0.00013728479,0.0000042680053,0.00009543091,0.00064647297,0.000024095507,0.00008439114,0.001991032,0.9894009,0.0074402615],"study_design_scores_gemma":[0.0000034075622,0.0000059359436,0.0014487824,0.00022235158,0.000005874167,0.00003839314,0.0015693072,0.000012765015,0.0000824079,0.00023071258,0.9963659,0.000014127576],"about_ca_topic_score_codex":0.20417702,"about_ca_topic_score_gemma":0.2954445,"teacher_disagreement_score":0.20417702,"about_ca_system_score_codex":0.026777849,"about_ca_system_score_gemma":0.02149698,"threshold_uncertainty_score":0.40597713},"labels":[],"label_agreement":null},{"id":"W7010638564","doi":"","title":"kind SuppOrt 1844!855!1955 Webroot Antivirus customer service number","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phone; Service (business); Telephone number; Mobile phone; Mobile phone tracking","score_opus":0.010873804350488315,"score_gpt":0.25792391404456116,"score_spread":0.24705010969407284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010638564","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008821968,0.00020179641,0.0004090731,0.0008003032,0.001109181,0.00008543962,0.0029386235,0.0022075018,0.9913658],"genre_scores_gemma":[0.0012387162,0.00008763012,0.00010685317,0.00024136154,0.000088463836,0.000029997977,0.0013162696,0.00039913628,0.9964915],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991831,0.00007091852,0.000032389566,0.00011909953,0.00043168635,0.00016274024],"domain_scores_gemma":[0.9972614,0.00018648108,0.00008077153,0.00025638775,0.0013678534,0.0008471063],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00049903605,0.0008266053,0.00061306683,0.0017869006,0.0027124227,0.0038688895,0.0008982234,0.0014256252,0.89602077],"category_scores_gemma":[0.002618184,0.00065552176,0.00047776548,0.0013199282,0.00038762426,0.0024346043,0.0032184017,0.0013749563,0.8989299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025547786,0.000031903015,0.00022829225,0.000043905657,0.0000015334564,0.000028433371,0.000033837154,0.00001923788,0.00022955654,0.0006793818,0.9560521,0.04262622],"study_design_scores_gemma":[0.0000046253936,0.000011521407,0.0006943813,0.000023503399,0.0000013318705,0.000023171695,0.00006740265,0.000026643485,0.0000970153,0.00010826793,0.998938,0.000004100127],"about_ca_topic_score_codex":0.006827233,"about_ca_topic_score_gemma":0.013856798,"teacher_disagreement_score":0.10397923,"about_ca_system_score_codex":0.0012225547,"about_ca_system_score_gemma":0.0022391693,"threshold_uncertainty_score":0.1483137},"labels":[],"label_agreement":null},{"id":"W7010737313","doi":"","title":"Inking of Immunity Episode 8. Indigenous Tattoo Revival with Dion Kaszas","year":2022,"lang":"en","type":"other","venue":"Sunderland Repository (University of Sunderland)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Graduation (instrument); The arts; Newspaper; Passion; Performing arts","score_opus":0.006260495142097602,"score_gpt":0.17443542792523306,"score_spread":0.16817493278313544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010737313","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31633866,0.005409294,0.0022760893,0.0766684,0.008915466,0.00020734871,0.00030516242,0.0002979237,0.58958167],"genre_scores_gemma":[0.6818364,0.001704204,0.0008844312,0.014552837,0.0008000708,0.00013841219,0.00013797333,0.00027871723,0.29966694],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976078,0.000861391,0.000065503365,0.0002726435,0.0005245012,0.00066808786],"domain_scores_gemma":[0.9985637,0.00041644962,0.00010701973,0.00012976363,0.00031066223,0.00047243285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017679293,0.00050747354,0.00049751735,0.0010226708,0.031548876,0.0073576896,0.001136896,0.004181547,0.016558813],"category_scores_gemma":[0.004991876,0.0003155891,0.00037484744,0.0009694429,0.0081809545,0.0043978347,0.010560146,0.00915966,0.0025145723],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056490582,0.000052621326,0.0012872791,0.0001440654,0.000007740859,0.0039200587,0.8558107,0.00004090383,0.0010901765,0.045288365,0.081028834,0.011272809],"study_design_scores_gemma":[0.000002893936,0.000015736618,0.0011044748,0.00017348233,0.000004859714,0.0008815408,0.31012046,0.00003663835,0.0004326464,0.0016998239,0.68550783,0.000019602456],"about_ca_topic_score_codex":0.021991383,"about_ca_topic_score_gemma":0.06889325,"teacher_disagreement_score":0.031548876,"about_ca_system_score_codex":0.006475716,"about_ca_system_score_gemma":0.003580629,"threshold_uncertainty_score":0.05539477},"labels":[],"label_agreement":null},{"id":"W7011133038","doi":"","title":"L’utilité des médias sociaux pour la surveillance épidémiologique : une étude de cas de Twitter pour la surveillance de la maladie de Lyme","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Montréal","keywords":"LYME; Lyme disease; Epidemiological surveillance","score_opus":0.012779192796423961,"score_gpt":0.2269045927727208,"score_spread":0.21412539997629684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011133038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8458773,0.013405032,0.0391498,0.011142358,0.0011834409,0.0015901233,0.0330465,0.0011979734,0.053407576],"genre_scores_gemma":[0.93950194,0.0048025483,0.035104625,0.0011177675,0.0004909896,0.0009448142,0.009264736,0.00013879203,0.008633843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99326974,0.0038289262,0.0005542512,0.0008619612,0.001183164,0.00030199566],"domain_scores_gemma":[0.96106577,0.026421355,0.0042718505,0.0019809233,0.005548843,0.0007111689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069881803,0.00089022546,0.0005787809,0.005786835,0.0011652929,0.004231638,0.0008651521,0.0011426307,0.0029507326],"category_scores_gemma":[0.030627064,0.00044332218,0.00089382665,0.0045031994,0.00069653,0.005257654,0.001806835,0.0009759825,0.0014619776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008513465,0.00022639969,0.6632157,0.004033177,0.00063518714,0.00069451286,0.02274609,0.001990833,0.0066714073,0.003663061,0.012466392,0.28280592],"study_design_scores_gemma":[0.000089063615,0.0008040313,0.69526476,0.0034438206,0.0014560258,0.002048887,0.04313767,0.03908161,0.013858811,0.0067742653,0.19361937,0.0004216601],"about_ca_topic_score_codex":0.024011975,"about_ca_topic_score_gemma":0.029718533,"teacher_disagreement_score":0.024011975,"about_ca_system_score_codex":0.0015462664,"about_ca_system_score_gemma":0.0017084373,"threshold_uncertainty_score":0.047744393},"labels":[],"label_agreement":null},{"id":"W7011194756","doi":"","title":"MeiraGTx Reports Second Quarter 2018 Financial Results and Provides Corporate Update","year":2018,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Financial Audit; Work (physics)","score_opus":0.012112328071437624,"score_gpt":0.2131527560887043,"score_spread":0.20104042801726668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011194756","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030089824,0.0009751391,0.0046341107,0.011450616,0.016140737,0.00034711178,0.011504475,0.011188414,0.94075036],"genre_scores_gemma":[0.0023820528,0.00026384037,0.001095565,0.00037376708,0.0009124142,0.00004657512,0.0042915163,0.0013402754,0.98929405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969868,0.0001721538,0.00008127395,0.00020364688,0.002200765,0.0003553528],"domain_scores_gemma":[0.9903627,0.0006975647,0.00036816156,0.0011411494,0.0055956845,0.0018347228],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034328178,0.0014509914,0.0009980376,0.0044428166,0.0016637357,0.00852891,0.0018857248,0.0025803347,0.6351636],"category_scores_gemma":[0.010159199,0.00038812475,0.00069386594,0.0021445765,0.00073791185,0.0030459764,0.0022719004,0.0025800404,0.58258694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000632335,0.000095069416,0.0001864003,0.00002742018,0.000003091573,0.000053086205,0.000010818182,0.000096575655,0.00031187848,0.0016276446,0.9483969,0.04912784],"study_design_scores_gemma":[0.000031619627,0.000054570908,0.00060778623,0.000038759063,0.000004554605,0.000078738965,0.000039209095,0.0010568566,0.0013289388,0.001584255,0.9951623,0.000012391],"about_ca_topic_score_codex":0.0024103709,"about_ca_topic_score_gemma":0.004257717,"teacher_disagreement_score":0.6351636,"about_ca_system_score_codex":0.0016099119,"about_ca_system_score_gemma":0.0024906513,"threshold_uncertainty_score":0.5203948},"labels":[],"label_agreement":null},{"id":"W7011194924","doi":"","title":"Le Parc national des Laurentides, Province de Quebec : The fisherman's paradise.","year":2014,"lang":"fr","type":"article","venue":"QSpace (Queen's University Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Public policy; Agency (philosophy); Work (physics)","score_opus":0.00769798060512559,"score_gpt":0.17731635420101483,"score_spread":0.16961837359588924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011194924","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06964705,0.062571615,0.0052148453,0.06310776,0.0054537402,0.00026770058,0.09686525,0.001918074,0.69495386],"genre_scores_gemma":[0.09358827,0.0050496645,0.0024367832,0.001203095,0.00010820334,0.000046759316,0.0056407074,0.0002794251,0.89164704],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996387,0.000027665665,0.000008324971,0.000057738,0.00014327724,0.00012429862],"domain_scores_gemma":[0.9992836,0.00004780214,0.000037575617,0.000026056854,0.0004260006,0.0001789884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004768655,0.000510809,0.00038839199,0.00086856756,0.0050894376,0.002814087,0.0007613487,0.0008910788,0.12605226],"category_scores_gemma":[0.0012916452,0.00030524764,0.00037589538,0.0027770703,0.00091066974,0.0011037162,0.0009893964,0.0015467898,0.008011846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021603175,0.000039123097,0.013409261,0.00028856297,0.000033762964,0.00053514057,0.0014081346,0.0006731388,0.0009791796,0.012646313,0.81906945,0.15070185],"study_design_scores_gemma":[0.000011909499,0.000011544073,0.040373888,0.0001523875,0.0000079659985,0.000117595235,0.0015874223,0.0002739036,0.00027521016,0.00048681017,0.956672,0.00002948065],"about_ca_topic_score_codex":0.99136496,"about_ca_topic_score_gemma":0.9976357,"teacher_disagreement_score":0.12605226,"about_ca_system_score_codex":0.03175124,"about_ca_system_score_gemma":0.039809227,"threshold_uncertainty_score":0.42168683},"labels":[],"label_agreement":null},{"id":"W7011312107","doi":"","title":"Le Collège de Rimouski un cégep régional et un institut national : mémoire /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Field (mathematics); Work (physics)","score_opus":0.012372862257515115,"score_gpt":0.22457355713073132,"score_spread":0.21220069487321622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011312107","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024230665,0.018683543,0.0058550225,0.036564443,0.005659868,0.00035817173,0.015376006,0.00278785,0.89048433],"genre_scores_gemma":[0.02947796,0.0022471081,0.0020283454,0.0005589351,0.00019892721,0.00004841091,0.0012072987,0.00037554806,0.9638576],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984452,0.00015937419,0.000037591166,0.00026306775,0.000673711,0.0004211194],"domain_scores_gemma":[0.9972606,0.00030399137,0.00014627483,0.00019580251,0.0013770076,0.00071633403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015961332,0.001133987,0.0007763455,0.0026771724,0.0069366507,0.0066608936,0.0016409259,0.0026112387,0.27857712],"category_scores_gemma":[0.004673595,0.0005322762,0.00057915057,0.0030627106,0.0015639308,0.0021276737,0.0021862127,0.0028157737,0.040260408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027716297,0.000115618685,0.006696945,0.0004885755,0.00002994832,0.00079483987,0.0016743984,0.0006692932,0.0011970027,0.048554555,0.7471258,0.1923759],"study_design_scores_gemma":[0.000014125902,0.000008654597,0.009873699,0.00010007566,0.000003993859,0.0001290335,0.0005279608,0.00019722676,0.0006753997,0.00050723524,0.98794377,0.00001876994],"about_ca_topic_score_codex":0.8618483,"about_ca_topic_score_gemma":0.92790484,"teacher_disagreement_score":0.27857712,"about_ca_system_score_codex":0.026774053,"about_ca_system_score_gemma":0.04370238,"threshold_uncertainty_score":0.9319333},"labels":[],"label_agreement":null},{"id":"W7011327420","doi":"","title":"Loi canadienne sur l'enseignement postsecondaire projet de loi C-X","year":2006,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Mars Exploration Program; Term (time)","score_opus":0.007676909767936496,"score_gpt":0.19599454242496891,"score_spread":0.1883176326570324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011327420","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011289951,0.012735496,0.007997293,0.07412166,0.0143408505,0.0007758863,0.016775537,0.0044656754,0.85749763],"genre_scores_gemma":[0.012204818,0.002410365,0.0026681311,0.0013386454,0.0006254778,0.000120624085,0.004452939,0.0005137948,0.97566515],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99669456,0.0002362128,0.00006355962,0.00028495936,0.0017388868,0.0009818978],"domain_scores_gemma":[0.9920819,0.0004203271,0.00018021624,0.00037881243,0.0038657223,0.003073005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004747229,0.0010083915,0.000780131,0.0027740558,0.0036520406,0.00847548,0.0015147575,0.0022620168,0.19595656],"category_scores_gemma":[0.0048751887,0.0003328885,0.00059189816,0.0031629934,0.0011885749,0.001697004,0.003102256,0.0028643627,0.05965242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011824695,0.00009064424,0.001185637,0.00008204909,0.000008171272,0.00007872852,0.00020361158,0.00027806204,0.00046008578,0.009182996,0.91882664,0.069485016],"study_design_scores_gemma":[0.000022588125,0.000022621323,0.00457903,0.00008948076,0.0000040570026,0.000022478378,0.00014286472,0.00020697205,0.0003986256,0.00045565324,0.9940427,0.000012871173],"about_ca_topic_score_codex":0.7248309,"about_ca_topic_score_gemma":0.75189674,"teacher_disagreement_score":0.9764614,"about_ca_system_score_codex":0.02353861,"about_ca_system_score_gemma":0.049622294,"threshold_uncertainty_score":0.65554},"labels":[],"label_agreement":null},{"id":"W7011329170","doi":"","title":"Meta Platforms, Inc. (META) Partners with VSParticle and University of Toronto to Advance Clean Energy Solutions Using AI and Nanotech","year":2024,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clean energy; Energy (signal processing); Clean technology; Efficient energy use","score_opus":0.031204386086966063,"score_gpt":0.25208196910134556,"score_spread":0.22087758301437949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011329170","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073630405,0.0028007063,0.03620756,0.008609712,0.0019594678,0.00029786662,0.0155689055,0.022656485,0.9045363],"genre_scores_gemma":[0.055133086,0.0024107518,0.046796963,0.0013304736,0.00025815528,0.00027573996,0.018033817,0.0069704624,0.86879045],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991943,0.00004124696,0.000011843276,0.000109934525,0.00049258943,0.000150234],"domain_scores_gemma":[0.9985129,0.00014827045,0.00005229196,0.00021721968,0.0006532934,0.00041610966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015306269,0.0015478772,0.0006389027,0.0015129434,0.0024062,0.003402619,0.0015145591,0.0017975295,0.22786471],"category_scores_gemma":[0.0013086499,0.0006314869,0.0006452983,0.0015304245,0.0010987718,0.0029507536,0.0027394902,0.0023669053,0.08087168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033523375,0.00011681603,0.0011010232,0.0003798707,0.000027943888,0.00019484485,0.0002137894,0.0011979068,0.017850239,0.05783503,0.81240946,0.10833775],"study_design_scores_gemma":[0.00006693531,0.00007457615,0.00062602176,0.000054586166,0.000014983379,0.000086222484,0.0001485835,0.0042364616,0.009092503,0.0058528213,0.9797236,0.000022785105],"about_ca_topic_score_codex":0.052671473,"about_ca_topic_score_gemma":0.12593475,"teacher_disagreement_score":0.9473285,"about_ca_system_score_codex":0.0044878693,"about_ca_system_score_gemma":0.005805264,"threshold_uncertainty_score":0.7622834},"labels":[],"label_agreement":null},{"id":"W7011365806","doi":"","title":"Liberal Leader Justin Trudeau's Speech to Delegates at the LPC(Quebec) Biennial Convention","year":2014,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convention; Free speech; Government (linguistics); George (robot); Legislation","score_opus":0.008603045351186224,"score_gpt":0.22848261492832672,"score_spread":0.2198795695771405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011365806","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005738186,0.0041104467,0.0032784108,0.21866931,0.032816976,0.0005617449,0.0055004745,0.0011960723,0.72812843],"genre_scores_gemma":[0.0043717264,0.00017913916,0.00021684398,0.0046970956,0.00025827918,0.000026488347,0.00017652087,0.0001248617,0.989949],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958191,0.00026870958,0.00006329985,0.00044653902,0.002010065,0.00139229],"domain_scores_gemma":[0.99485993,0.00036229577,0.000101453574,0.00018783327,0.0030585895,0.0014299506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045579458,0.00087817543,0.0008571252,0.0012324642,0.013676659,0.008945426,0.0017531384,0.007635916,0.17733397],"category_scores_gemma":[0.006451427,0.0006404812,0.0006626478,0.0008667735,0.0025643774,0.001830182,0.0024331317,0.008459071,0.04395631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002060647,0.000012993178,0.00016848942,0.000013403095,0.0000021402864,0.00004335196,0.00008666634,0.00005865011,0.0001613939,0.0070492076,0.98847336,0.0039096866],"study_design_scores_gemma":[0.000005887296,0.000005461751,0.0008576789,0.000024460203,0.0000014953171,0.000016364645,0.00017559224,0.000103788305,0.00018025361,0.00041312692,0.99820256,0.000013172194],"about_ca_topic_score_codex":0.79674,"about_ca_topic_score_gemma":0.90797424,"teacher_disagreement_score":0.20326,"about_ca_system_score_codex":0.028556582,"about_ca_system_score_gemma":0.04498074,"threshold_uncertainty_score":0.5932412},"labels":[],"label_agreement":null},{"id":"W7011398419","doi":"","title":"L'utilisation de l'analyse de responsabilitÃ© pour Ã©valuer le risque d'accident mortel pour les personnes qui consomment des drogues et qui conduisent un vÃ©hicule automobile au QuÃ©bec entre 1999 et 2002","year":2006,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.00691434333706854,"score_gpt":0.18292167317413918,"score_spread":0.17600732983707065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011398419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8514774,0.003397157,0.009409776,0.005328495,0.00021541622,0.00037506127,0.021900967,0.0004548218,0.10744104],"genre_scores_gemma":[0.9168579,0.0017874663,0.008858947,0.00036674063,0.00005100036,0.00016571222,0.007345194,0.00010236288,0.06446466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980945,0.000341599,0.00012814782,0.00020620022,0.00093312206,0.0002963608],"domain_scores_gemma":[0.98405635,0.0030118823,0.00130167,0.0005661432,0.010287379,0.0007766125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034037444,0.00079194683,0.00043542153,0.005096287,0.0014007917,0.0029443929,0.0012032527,0.0008804871,0.012644639],"category_scores_gemma":[0.011808819,0.0003365058,0.0010136531,0.0057112714,0.00059755886,0.001218401,0.0009930406,0.0007585334,0.003757098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003535471,0.0001907735,0.77002764,0.00048427918,0.00019723778,0.00025787269,0.0054143285,0.0031568957,0.0016197638,0.0031437515,0.017884908,0.19726907],"study_design_scores_gemma":[0.0000096022895,0.000117028714,0.95486015,0.00022570162,0.00009877558,0.0001699654,0.005311797,0.004262617,0.0018133966,0.0004823116,0.032599267,0.000049380556],"about_ca_topic_score_codex":0.8258466,"about_ca_topic_score_gemma":0.8210308,"teacher_disagreement_score":0.17415339,"about_ca_system_score_codex":0.010503037,"about_ca_system_score_gemma":0.018704493,"threshold_uncertainty_score":0.350358},"labels":[],"label_agreement":null},{"id":"W7011464219","doi":"","title":"Maria Alberta Menéres [editora] (Vila Nova de Gaia, 1930 - Lisboa, 2019) [Semblanza]","year":2022,"lang":"fr","type":"book-chapter","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Period (music); White (mutation); Nova (rocket); Field (mathematics)","score_opus":0.024903924708140783,"score_gpt":0.2330364362610884,"score_spread":0.2081325115529476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011464219","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044276446,0.26744756,0.0029000079,0.021689,0.06526976,0.00008317323,0.002202008,0.0010130883,0.6389527],"genre_scores_gemma":[0.0010522719,0.039446786,0.001037675,0.001202071,0.0020233912,0.000025388837,0.00049519027,0.0003114444,0.9544057],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999584,0.0000524661,0.00002915437,0.00008691561,0.00020386842,0.000043526055],"domain_scores_gemma":[0.9994498,0.00010526655,0.00002574779,0.000030879408,0.0003088452,0.000079543526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066424056,0.0011338794,0.0010137917,0.0038378066,0.0020105066,0.006193885,0.0013617786,0.0017363713,0.16402312],"category_scores_gemma":[0.0013588222,0.0006324153,0.0005466664,0.0050451895,0.00084458926,0.002979429,0.0015039437,0.0019272353,0.11851104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010878478,0.000004989544,0.000027406531,0.00022934124,0.0000023168552,0.000029186398,0.00010448703,0.000067555055,0.00006328779,0.0028686104,0.9350264,0.061565537],"study_design_scores_gemma":[6.772982e-7,7.821622e-7,0.000049347105,0.00007659374,9.177321e-7,0.000019672529,0.000021612086,0.000008517455,0.000013479675,0.00017359781,0.9996332,0.0000016012234],"about_ca_topic_score_codex":0.03336652,"about_ca_topic_score_gemma":0.12724498,"teacher_disagreement_score":0.16402312,"about_ca_system_score_codex":0.0040337304,"about_ca_system_score_gemma":0.004243432,"threshold_uncertainty_score":0.548712},"labels":[],"label_agreement":null},{"id":"W7011577804","doi":"","title":"Modélisation SVAR de l’impact des changements climatiques sur l’endettement provincial canadien","year":2025,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bayesian vector autoregression; Stream flow; Earth Summit","score_opus":0.010179093134955661,"score_gpt":0.1966957956520161,"score_spread":0.18651670251706043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011577804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8947714,0.0014551756,0.069624044,0.0022247229,0.00030423625,0.000108035456,0.012468317,0.00191065,0.017133443],"genre_scores_gemma":[0.9679028,0.00069308147,0.008046506,0.0000984832,0.000049192862,0.00010759618,0.0061881645,0.000130605,0.016783614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928075,0.00027092273,0.000030737574,0.00019835349,0.00010167376,0.00011753187],"domain_scores_gemma":[0.998458,0.00090658286,0.00010723643,0.00009144713,0.00036810446,0.000068510984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016331504,0.0008843514,0.00094109226,0.00068861456,0.00042853857,0.0020689424,0.0018204256,0.0009896213,0.0066958447],"category_scores_gemma":[0.0031140458,0.00074850395,0.0018684223,0.0013040022,0.0005201091,0.00067652884,0.0009344087,0.001897747,0.0011452467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109619825,0.000032846077,0.016660139,0.00005749979,0.0002102667,0.00006141561,0.00006264956,0.9734517,0.00040695487,0.0029510544,0.0011740604,0.004821849],"study_design_scores_gemma":[0.000021578562,0.00004219112,0.0070718676,0.000015073951,0.00007266337,0.000012006717,0.00006730628,0.9900417,0.00020174321,0.0007753377,0.0016603977,0.000018082583],"about_ca_topic_score_codex":0.4186798,"about_ca_topic_score_gemma":0.23998691,"teacher_disagreement_score":0.58132017,"about_ca_system_score_codex":0.0026081002,"about_ca_system_score_gemma":0.003839604,"threshold_uncertainty_score":0.8324856},"labels":[],"label_agreement":null},{"id":"W7011626395","doi":"","title":"Music trains draw fans to Vermont","year":2015,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Train; TRIPS architecture; Freight trains; Sound (geography); Rail freight transport; East coast","score_opus":0.01761077555695474,"score_gpt":0.23993836868895593,"score_spread":0.22232759313200118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011626395","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008770288,0.000839893,0.0005016312,0.0037877893,0.001778464,0.00006961022,0.0014354569,0.00091549574,0.98190135],"genre_scores_gemma":[0.010813481,0.00030045095,0.00029495853,0.00047885536,0.00014829212,0.000013598625,0.00050210056,0.00017471748,0.9872736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996624,0.000025863854,0.0000056314207,0.00006299015,0.00014332548,0.000099824654],"domain_scores_gemma":[0.99939144,0.000025936515,0.000019688754,0.000034756045,0.0001752513,0.00035290397],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00024907052,0.00056115264,0.00023188001,0.0013457284,0.00871776,0.003527965,0.00047097274,0.0008296465,0.46079648],"category_scores_gemma":[0.0009013759,0.0002770704,0.00022099647,0.0011768439,0.000658436,0.0013362927,0.0028803428,0.0011678871,0.08700292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052910007,0.000045552984,0.0011534462,0.00003294591,0.0000022853626,0.00026173613,0.0006817236,0.000034835604,0.0006207347,0.0026344291,0.90707237,0.08740704],"study_design_scores_gemma":[0.000004084478,0.000010094671,0.0022777284,0.000037706697,0.0000011209905,0.000064234795,0.00074153894,0.00003312896,0.00012758044,0.00012029617,0.99657935,0.0000030444755],"about_ca_topic_score_codex":0.18247616,"about_ca_topic_score_gemma":0.6022115,"teacher_disagreement_score":0.5392035,"about_ca_system_score_codex":0.003197341,"about_ca_system_score_gemma":0.0027209944,"threshold_uncertainty_score":0.7691084},"labels":[],"label_agreement":null},{"id":"W7011648108","doi":"","title":"Models of Retinal Development and Disease","year":2022,"lang":"en","type":"other","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stargardt disease; ABCA4; Retinal pigment epithelium; Retinal; Retina; Disease; Lipofuscin; Phenotype; Ciliopathy","score_opus":0.018408823743622054,"score_gpt":0.23945462360134545,"score_spread":0.2210457998577234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011648108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17041102,0.08309346,0.46874684,0.013200796,0.008276836,0.003828099,0.013423959,0.007657706,0.23136126],"genre_scores_gemma":[0.4800227,0.06177963,0.26694497,0.005488153,0.0009915429,0.008050482,0.010957395,0.00066181767,0.16510323],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992161,0.00020831366,0.000059972364,0.00014602939,0.00028602677,0.000083664956],"domain_scores_gemma":[0.9995814,0.00008385205,0.000055520588,0.00014211846,0.0000497088,0.00008746734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000852066,0.0009855429,0.00075499644,0.0010346028,0.0008306156,0.0014930172,0.0015945255,0.0016312405,0.010816209],"category_scores_gemma":[0.0005705256,0.00042155964,0.0008837222,0.00049610826,0.0010869803,0.0008801059,0.0012851702,0.002631415,0.0036806224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009911834,0.0007937536,0.0017659176,0.0021062978,0.00026751158,0.0018509376,0.00068054756,0.004672386,0.57729554,0.25826913,0.04421427,0.10709244],"study_design_scores_gemma":[0.0003154116,0.0022065693,0.0021856583,0.0004480723,0.00017400869,0.0048819557,0.00023924622,0.004588575,0.07607857,0.040112767,0.8686503,0.000118938915],"about_ca_topic_score_codex":0.0013305347,"about_ca_topic_score_gemma":0.0017614907,"teacher_disagreement_score":0.010816209,"about_ca_system_score_codex":0.0010706063,"about_ca_system_score_gemma":0.0009932129,"threshold_uncertainty_score":0.036183834},"labels":[],"label_agreement":null},{"id":"W7011668563","doi":"","title":"The Marc Patrone Show - Dec 19, 2019 - SNC Lavalin, Trudeau Economy, Slowdown in Manufacturing &amp; Assault on Gun Rights","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gun control; Government (linguistics); Gun violence; Slowdown; Human rights","score_opus":0.005044891150385648,"score_gpt":0.18523970951497779,"score_spread":0.18019481836459214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011668563","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000456744,0.001968593,0.00031684336,0.022498952,0.014073933,0.00004052216,0.0013565745,0.0007148092,0.95857304],"genre_scores_gemma":[0.00087555475,0.00030600268,0.000047974954,0.0009746955,0.00032544194,0.00000490354,0.0001911203,0.00009669798,0.9971777],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945754,0.000024842897,0.0000093500685,0.00006579615,0.0003308194,0.000111640096],"domain_scores_gemma":[0.99894446,0.00006215038,0.00003662057,0.00004837715,0.0005353043,0.00037301966],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004896188,0.0006590208,0.00034015698,0.00094958616,0.0035973212,0.004908691,0.00058842957,0.0023484877,0.5345005],"category_scores_gemma":[0.0024274255,0.00033787568,0.00027051423,0.0007323121,0.00069992826,0.0020729622,0.0019614478,0.0032089604,0.3427268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031332665,0.0000022286051,0.000034840647,0.000005873799,2.1152381e-7,0.0000137675715,0.000009093884,0.0000047380945,0.00002757318,0.000861904,0.9954336,0.0036028805],"study_design_scores_gemma":[7.28903e-7,0.0000028469178,0.00014835387,0.000012690424,3.2258188e-7,0.000019539755,0.000032972068,0.000015021595,0.0000438598,0.00010894348,0.9996131,0.0000016424688],"about_ca_topic_score_codex":0.042782813,"about_ca_topic_score_gemma":0.19305594,"teacher_disagreement_score":0.46549952,"about_ca_system_score_codex":0.0023602152,"about_ca_system_score_gemma":0.0021832387,"threshold_uncertainty_score":0.6639786},"labels":[],"label_agreement":null},{"id":"W7011757898","doi":"","title":"Nástěnné malby v augustiniánském klášteře v Třeboni","year":2012,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mural; Painting; Context (archaeology); Middle Ages; Period (music); The Renaissance; Subject (documents); Treasure; Quarter (Canadian coin)","score_opus":0.006746811517751277,"score_gpt":0.2295029026261584,"score_spread":0.22275609110840713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011757898","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10444132,0.025953189,0.00038639418,0.0112371985,0.0037295376,0.00007583011,0.0006033013,0.00014295196,0.85343033],"genre_scores_gemma":[0.6223615,0.0059935134,0.00022539737,0.0008903275,0.0005374172,0.0000298851,0.00012883102,0.00014691426,0.36968616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995572,0.000108391985,0.000010096871,0.00006337184,0.00011714101,0.00014374484],"domain_scores_gemma":[0.9997795,0.000052462958,0.00003488739,0.000024530571,0.000030974436,0.0000775509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040768794,0.00032638412,0.00023331486,0.00037074374,0.0037186085,0.0026493538,0.0003620909,0.00064846623,0.053172234],"category_scores_gemma":[0.0009536835,0.00017825821,0.00014073955,0.00054438005,0.0020002935,0.00083594176,0.0018863739,0.0012660295,0.005568755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013103957,0.00008699402,0.0043465523,0.0018071375,0.00004010759,0.004800445,0.06554857,0.00062617124,0.004175319,0.23712526,0.54227346,0.13785955],"study_design_scores_gemma":[0.000008530508,0.000022212866,0.00533181,0.00028935543,0.0000032363619,0.00072649034,0.0046014674,0.000028293638,0.0005537045,0.0008983989,0.9875273,0.00000933658],"about_ca_topic_score_codex":0.027804129,"about_ca_topic_score_gemma":0.08977761,"teacher_disagreement_score":0.053172234,"about_ca_system_score_codex":0.0047120047,"about_ca_system_score_gemma":0.0023244848,"threshold_uncertainty_score":0.17787886},"labels":[],"label_agreement":null},{"id":"W7012019266","doi":"","title":"Anne Vincent","year":2017,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Demotion","score_opus":0.0034555986512285488,"score_gpt":0.17890411060893144,"score_spread":0.1754485119577029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7012019266","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007092668,0.0068137655,0.0008283875,0.02658625,0.020404663,0.0000701152,0.0010660946,0.0005450939,0.9429763],"genre_scores_gemma":[0.0018658461,0.0020357782,0.0002359934,0.004747829,0.00057318213,0.000021561475,0.00023287859,0.00024116834,0.9900457],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993969,0.0000779741,0.000015510057,0.000113017435,0.0002696249,0.00012697019],"domain_scores_gemma":[0.9986046,0.0001539116,0.000046426485,0.000060805763,0.00058996124,0.0005443365],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00069853454,0.0006842209,0.00034114718,0.00085745484,0.002882103,0.0036253093,0.000782593,0.0016070557,0.5248818],"category_scores_gemma":[0.0038608192,0.00030716386,0.00026008947,0.00037718008,0.0005682281,0.0017780851,0.0020267216,0.003060072,0.31253028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075632056,0.000005610664,0.0000811866,0.00002130276,6.116328e-7,0.00006465998,0.00005339337,0.0000123272575,0.00003510567,0.003516547,0.9704338,0.025767896],"study_design_scores_gemma":[0.0000010899277,0.0000023277016,0.000064764376,0.000041318006,3.1674873e-7,0.00008961936,0.000069765025,0.0000059410695,0.000022437254,0.0002883253,0.9994123,0.0000016680083],"about_ca_topic_score_codex":0.01189316,"about_ca_topic_score_gemma":0.03853067,"teacher_disagreement_score":0.47511822,"about_ca_system_score_codex":0.0014976127,"about_ca_system_score_gemma":0.0029409847,"threshold_uncertainty_score":0.6776985},"labels":[],"label_agreement":null},{"id":"W7012127659","doi":"","title":"#DontRushMyNugget","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Swing; Point (geometry); Subject (documents); Work (physics)","score_opus":0.004231435280015953,"score_gpt":0.17364761882678836,"score_spread":0.1694161835467724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7012127659","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005030069,0.00050174264,0.0025474238,0.0023198372,0.001495565,0.000113883085,0.012190526,0.022593733,0.9577343],"genre_scores_gemma":[0.0021583638,0.0003009806,0.0012259278,0.0011164799,0.000112885056,0.000062743115,0.0062681395,0.009173448,0.97958106],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994185,0.00006189075,0.000020726771,0.000103636725,0.00026364307,0.00013165752],"domain_scores_gemma":[0.9973036,0.00024432782,0.000071543735,0.00049571315,0.0010691014,0.00081565965],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007280272,0.0010854609,0.000757877,0.0015948102,0.003210013,0.005764623,0.002163917,0.0020365317,0.88156337],"category_scores_gemma":[0.0054206415,0.0006075829,0.00046938102,0.0016550944,0.0007037997,0.004439399,0.0052770446,0.0015073136,0.8155226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002184493,0.000006582279,0.00006951156,0.000049586884,8.3152713e-7,0.00002333781,0.00006897916,0.00001315016,0.00007085322,0.0013235066,0.9708245,0.027527254],"study_design_scores_gemma":[0.00000268275,0.000002311202,0.00007443343,0.000027300915,6.2454933e-7,0.00002475042,0.000051491854,0.00001905871,0.000052262643,0.00032406,0.99941695,0.000004112296],"about_ca_topic_score_codex":0.03401676,"about_ca_topic_score_gemma":0.090479925,"teacher_disagreement_score":0.118436635,"about_ca_system_score_codex":0.0020308064,"about_ca_system_score_gemma":0.0028712049,"threshold_uncertainty_score":0.16893548},"labels":[],"label_agreement":null},{"id":"W7012308538","doi":"","title":"Off Air 1/1/09","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Uncanny; Legend; Dandy; White (mutation); Ballad; Feeling; Surrender","score_opus":0.004161936272467394,"score_gpt":0.17645162381536078,"score_spread":0.1722896875428934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7012308538","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007661211,0.00014621502,0.000157755,0.0012953155,0.0021520387,0.00013796716,0.003342943,0.00053310324,0.99146855],"genre_scores_gemma":[0.002084212,0.000072802635,0.0000593362,0.00036577697,0.00015251889,0.000033024055,0.0011585247,0.00026951046,0.99580437],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992362,0.00006221355,0.000015618207,0.000081038605,0.00026167068,0.00034318242],"domain_scores_gemma":[0.99903935,0.00003451036,0.000023295674,0.00008568361,0.00033555386,0.00048147692],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00054590247,0.0007805266,0.00052217254,0.000857269,0.0050162543,0.0040786127,0.0010779728,0.0024516445,0.83292896],"category_scores_gemma":[0.0016365445,0.00042199023,0.00059177604,0.0006419784,0.0004075914,0.0020027214,0.0038066274,0.0027867972,0.64153343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029619554,0.000028315839,0.00013555099,0.000022765524,0.0000011606281,0.00006537388,0.000059877784,0.000007798911,0.00007592852,0.0004921292,0.9907284,0.008353078],"study_design_scores_gemma":[0.000006344835,0.000012767596,0.0007981156,0.000037028527,9.025292e-7,0.000025029633,0.0002229293,0.000013730576,0.000078293466,0.00012135249,0.9986804,0.0000029448202],"about_ca_topic_score_codex":0.019067837,"about_ca_topic_score_gemma":0.07349998,"teacher_disagreement_score":0.16707104,"about_ca_system_score_codex":0.0017707953,"about_ca_system_score_gemma":0.0018519546,"threshold_uncertainty_score":0.23830658},"labels":[],"label_agreement":null},{"id":"W7012450667","doi":"","title":"The future of fog","year":2000,"lang":"en","type":"other","venue":"CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arid; Dew; Cape verde; Fog; Haze; Water supply; Water scarcity; Mist; Rainwater harvesting","score_opus":0.0294555566300369,"score_gpt":0.32568693889034334,"score_spread":0.29623138226030643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7012450667","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009651034,0.50395215,0.0041952073,0.21023914,0.028883176,0.00005077138,0.00064996164,0.00046748327,0.24191104],"genre_scores_gemma":[0.1976261,0.5483579,0.0076637533,0.06814049,0.029353283,0.00012011082,0.0009318167,0.00041442952,0.14739215],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916446,0.000111109715,0.000034272718,0.0001499713,0.000280877,0.0002593504],"domain_scores_gemma":[0.9983596,0.00036231463,0.00010067982,0.000121004196,0.00043261875,0.0006237051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013871785,0.00049024855,0.0004749106,0.0009952466,0.002189542,0.0058403844,0.0012210435,0.0042576063,0.01866572],"category_scores_gemma":[0.0026162448,0.00022594287,0.0005729494,0.0010610289,0.0033726913,0.006996013,0.0034316059,0.0036463232,0.0038339258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012093481,0.000055964796,0.0014822806,0.0012971442,0.00002451276,0.0004330842,0.0016477364,0.0004234274,0.0011536039,0.16584164,0.39845365,0.42906597],"study_design_scores_gemma":[0.000004106616,0.000024983003,0.0006264634,0.0003612044,0.0000054049883,0.00026079276,0.0004263631,0.00012524506,0.0001487122,0.021950742,0.9760537,0.0000122653755],"about_ca_topic_score_codex":0.005479389,"about_ca_topic_score_gemma":0.0062739975,"teacher_disagreement_score":0.01866572,"about_ca_system_score_codex":0.002641908,"about_ca_system_score_gemma":0.0042565186,"threshold_uncertainty_score":0.062443078},"labels":[],"label_agreement":null},{"id":"W7012845270","doi":"","title":"Editorial","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"The Internet; Quality (philosophy); Higher education; Face (sociological concept); Order (exchange); Online learning","score_opus":0.12968673046479923,"score_gpt":0.508149859621353,"score_spread":0.3784631291565537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7012845270","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013559929,0.005990797,0.0002460034,0.039905123,0.9105791,0.000046908626,0.000444906,0.00027454732,0.042377092],"genre_scores_gemma":[0.0026321423,0.009961877,0.0004440703,0.041968036,0.72301036,0.00008626035,0.0010030629,0.00043725816,0.22045694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963924,0.00040577754,0.00030709137,0.0006934512,0.0017940731,0.00040724102],"domain_scores_gemma":[0.9894106,0.0019434287,0.0006034418,0.000837601,0.0050312504,0.0021736557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027372765,0.0014473778,0.0014620001,0.002290819,0.0024515467,0.008582146,0.0024921587,0.005613208,0.25094578],"category_scores_gemma":[0.01611056,0.0005369408,0.0012750978,0.001218477,0.0012232669,0.0048325392,0.00244556,0.0061686966,0.13669263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011890359,0.000008023413,0.000035790155,0.00010393247,0.0000026806492,0.000042337208,0.000016537735,0.000011282758,0.000043633547,0.0005628587,0.98617387,0.012987126],"study_design_scores_gemma":[0.0000057508246,0.0000071268296,0.00009140176,0.00013138389,0.0000025706306,0.00006479804,0.000028515422,0.000014512162,0.00003752552,0.00039116645,0.9992217,0.0000036058336],"about_ca_topic_score_codex":0.0008475956,"about_ca_topic_score_gemma":0.0014855475,"teacher_disagreement_score":0.25094578,"about_ca_system_score_codex":0.001820027,"about_ca_system_score_gemma":0.003376277,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7012941074","doi":"","title":"","year":2021,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Publishing; Sustainability; Corporate governance; Commons; Scholarly communication; Digital content","score_opus":0.076233202176466,"score_gpt":0.39731748866887595,"score_spread":0.32108428649240994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7012941074","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051349173,0.013172224,0.010698817,0.22326449,0.005766723,0.000046908393,0.0001962153,0.00016241631,0.74155736],"genre_scores_gemma":[0.28343895,0.026173908,0.01080834,0.08932534,0.0071679926,0.00025736177,0.0005337529,0.00069916766,0.5815953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9902209,0.003587794,0.00041663853,0.0015694036,0.0033386645,0.0008666111],"domain_scores_gemma":[0.9864189,0.0070340903,0.0005729978,0.0020813285,0.002587427,0.0013051591],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009666318,0.000309205,0.00051447505,0.0014135292,0.008057798,0.019751027,0.0014208306,0.007041676,0.04328455],"category_scores_gemma":[0.02251582,0.00024715817,0.00054326665,0.0023380427,0.022360079,0.02228711,0.007359222,0.006061882,0.01393904],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000117479185,0.00000852583,0.00022046904,0.00007752429,0.0000034297364,0.000052608608,0.0022645097,0.00003257468,0.000104876046,0.91915005,0.048571214,0.029502511],"study_design_scores_gemma":[0.0000022943434,0.000008565004,0.0003639398,0.0002618374,0.0000030566298,0.00013064675,0.0024277905,0.000048635335,0.00017896641,0.14365306,0.85291046,0.000010769561],"about_ca_topic_score_codex":0.0044121635,"about_ca_topic_score_gemma":0.005163443,"teacher_disagreement_score":0.95671546,"about_ca_system_score_codex":0.0054468536,"about_ca_system_score_gemma":0.00616936,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7015563749","doi":"","title":"Tabulková malba pozdní gotiky v středoslovenských báňských městech","year":2011,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Altar; Painting; Subject (documents); Quarter (Canadian coin); Period (music); Sculpture","score_opus":0.007184964224681387,"score_gpt":0.22073601551245822,"score_spread":0.21355105128777685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015563749","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067173116,0.15167136,0.010545994,0.009121985,0.007415503,0.00025749268,0.006538765,0.002482427,0.74479324],"genre_scores_gemma":[0.30708572,0.054820463,0.0076428424,0.0016943843,0.0015617529,0.00026135912,0.004133053,0.0020877658,0.62071264],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996917,0.00003594742,0.000023226448,0.00008969983,0.00009675814,0.00006263909],"domain_scores_gemma":[0.9998822,0.000016533877,0.000014865038,0.000019977548,0.00002758156,0.00003880731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037231724,0.0007638944,0.0010790176,0.0019698949,0.0022739214,0.003925353,0.00052385486,0.0007358694,0.08126629],"category_scores_gemma":[0.00042060387,0.00041753444,0.00042178395,0.0012496725,0.001182357,0.0017794771,0.0023352227,0.002567073,0.0309763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091003906,0.00033079108,0.0053932667,0.0028612763,0.00010516003,0.0009291875,0.0022959965,0.0027306122,0.014972818,0.15216799,0.22986853,0.5874344],"study_design_scores_gemma":[0.000020287198,0.000058253954,0.006767132,0.00035811114,0.000018181789,0.0006014843,0.00035344236,0.00020277305,0.0013324078,0.0044440967,0.9858255,0.000018301616],"about_ca_topic_score_codex":0.0028388249,"about_ca_topic_score_gemma":0.0045452225,"teacher_disagreement_score":0.08126629,"about_ca_system_score_codex":0.0017886397,"about_ca_system_score_gemma":0.0018084206,"threshold_uncertainty_score":0.2718628},"labels":[],"label_agreement":null},{"id":"W7015994229","doi":"","title":"The Vital Connection Between Quality Sleep and Mental Health","year":2025,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mental health; Sleep (system call); Mood; Sleep hygiene; Sleep deprivation; Quality (philosophy); Set (abstract data type)","score_opus":0.012859384652454077,"score_gpt":0.27526497588096654,"score_spread":0.2624055912285125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015994229","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13967828,0.37551746,0.0049292506,0.36670136,0.0054200664,0.00014414368,0.001450875,0.0002195112,0.105939075],"genre_scores_gemma":[0.7956559,0.16247216,0.0033467624,0.028414233,0.0038106889,0.000097925215,0.00045058227,0.000044479184,0.0057073426],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988985,0.00042994606,0.000073125855,0.00012088606,0.00028243026,0.00019505566],"domain_scores_gemma":[0.9965153,0.0010264857,0.0006030262,0.00013629087,0.0006087942,0.0011100714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010608076,0.00017979796,0.0003253496,0.0008467004,0.0011050997,0.0022358226,0.0003731432,0.00084958033,0.0064960816],"category_scores_gemma":[0.0051471945,0.00018051875,0.00045021452,0.00060284947,0.0024115178,0.0013426355,0.0021400393,0.0031313465,0.0007968955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002856421,0.00048388483,0.18978538,0.002632828,0.0007744475,0.0007235017,0.005704954,0.0005984696,0.0018977451,0.059800375,0.121972404,0.6153403],"study_design_scores_gemma":[0.00007116612,0.0004919053,0.6400961,0.005754026,0.00026680183,0.0021427562,0.0059500434,0.0006476629,0.00044925296,0.08946574,0.25450236,0.00016209656],"about_ca_topic_score_codex":0.009964698,"about_ca_topic_score_gemma":0.012374532,"teacher_disagreement_score":0.009964698,"about_ca_system_score_codex":0.0015481389,"about_ca_system_score_gemma":0.0017847881,"threshold_uncertainty_score":0.021731496},"labels":[],"label_agreement":null},{"id":"W7016501916","doi":"","title":"ผลของการจดการในระบบวนเกษตรตอการเจรญเตบโตและผลผลตของลองกองและยางพาราภายใตระบบการปลกรวม","year":2011,"lang":"th","type":"dissertation","venue":"PSU Knowledge Bank (Prince of Songkla University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.016304450638617875,"score_gpt":0.22132053041711625,"score_spread":0.20501607977849837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7016501916","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047257575,0.00041831372,0.015638214,0.0031219895,0.0021642752,0.0002240858,0.0029987267,0.002030912,0.9686779],"genre_scores_gemma":[0.035631787,0.00074154447,0.011151044,0.001457734,0.0004185711,0.00018583449,0.005031306,0.0007735126,0.9446087],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991621,0.000089099136,0.000032749496,0.00020912665,0.00037355523,0.00013344352],"domain_scores_gemma":[0.9989015,0.00010703909,0.00004465629,0.00023206352,0.0005939138,0.00012080046],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005796847,0.0006416674,0.00030672958,0.0010179941,0.0015124183,0.003379589,0.00088483817,0.00086461357,0.37014386],"category_scores_gemma":[0.0028203053,0.00029497317,0.0004295697,0.00071752124,0.00070533465,0.0020287356,0.0016751225,0.0012833177,0.28373277],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024169056,0.00009918147,0.0013759625,0.00020590742,0.000019681249,0.00019427153,0.00057390175,0.0004293661,0.0038874652,0.08577865,0.50507987,0.40211403],"study_design_scores_gemma":[0.000014386407,0.000019616256,0.0007964008,0.00005461378,0.000009706029,0.00012678251,0.00020239937,0.00032331177,0.0021924973,0.009649173,0.9865957,0.000015397094],"about_ca_topic_score_codex":0.0066507556,"about_ca_topic_score_gemma":0.0057912124,"teacher_disagreement_score":0.37014386,"about_ca_system_score_codex":0.0012090799,"about_ca_system_score_gemma":0.0017330454,"threshold_uncertainty_score":0.89841336},"labels":[],"label_agreement":null},{"id":"W7019193864","doi":"","title":"The family house Ochoz u Brna, construction and technological stage gross substructure","year":2012,"lang":"cs","type":"dissertation","venue":"Brno University of Technology Digital Library (Brno University of Technology)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Substructure; Stage (stratigraphy); Third stage; Quarter (Canadian coin)","score_opus":0.004908766335929901,"score_gpt":0.16490263855087614,"score_spread":0.15999387221494624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019193864","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32256576,0.009242792,0.002636265,0.0038205937,0.00037000212,0.00007743028,0.00060808164,0.0000637231,0.6606153],"genre_scores_gemma":[0.8184815,0.0037117526,0.002516926,0.00021919557,0.000040208968,0.000038561167,0.00016263325,0.000043175878,0.17478597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958426,0.00011082054,0.00001727951,0.000062622385,0.00014214881,0.0000828166],"domain_scores_gemma":[0.9997329,0.000042119045,0.000045365778,0.000023087456,0.000050749484,0.00010574125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003703822,0.00018371659,0.00020718893,0.00085535814,0.0023620876,0.0032878548,0.00030745653,0.00030598626,0.026067398],"category_scores_gemma":[0.0010164827,0.00016707934,0.00013726614,0.0011592717,0.002184122,0.0011630113,0.0018464056,0.0005170536,0.0022100895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021478938,0.00020865128,0.047856104,0.00038281878,0.000020163678,0.0014023015,0.09108851,0.00069228286,0.004989811,0.4149066,0.040345505,0.3978924],"study_design_scores_gemma":[0.00000819572,0.00015471962,0.13901006,0.00045508507,0.000014344415,0.00091229886,0.082657725,0.00011326159,0.0007564225,0.009940688,0.7659339,0.000043440694],"about_ca_topic_score_codex":0.044440318,"about_ca_topic_score_gemma":0.16956936,"teacher_disagreement_score":0.044440318,"about_ca_system_score_codex":0.002767467,"about_ca_system_score_gemma":0.002851326,"threshold_uncertainty_score":0.08836329},"labels":[],"label_agreement":null},{"id":"W7020594198","doi":"","title":"Making sense of organisational change A strategic use of Weick's sensemaking approach to a case study of Nova Scotia Power Inc., 1983-1999","year":2000,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sensemaking; Organisational change; Nova scotia; Power (physics); Work (physics); Organizational change; Qualitative research","score_opus":0.0716535295717082,"score_gpt":0.30280577916073964,"score_spread":0.23115224958903144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020594198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85487926,0.0013787539,0.0035522927,0.0115859,0.00008981786,0.00041807423,0.00018609877,0.000018727389,0.12789115],"genre_scores_gemma":[0.9820868,0.00079101475,0.00190332,0.0002663335,0.000004377487,0.00008884352,0.000038411486,0.000011609362,0.014809329],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99688077,0.001987471,0.00009598049,0.00018969172,0.00036465333,0.0004813513],"domain_scores_gemma":[0.9943785,0.0036423753,0.0004181952,0.00029871505,0.0005923344,0.0006698587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037068883,0.0003746856,0.00023580351,0.0025994133,0.016108118,0.0062728445,0.0014738434,0.0014193585,0.0025019941],"category_scores_gemma":[0.008598943,0.0003254405,0.00018078988,0.003918118,0.009949703,0.0030719491,0.004746671,0.0015143688,0.00019664523],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006332819,0.00008291358,0.012340994,0.00010802312,0.000010194913,0.007979534,0.90703,0.00048250108,0.00072022656,0.036633097,0.0049792556,0.02956999],"study_design_scores_gemma":[0.000010062918,0.00003405969,0.015862545,0.00021608143,0.000008353733,0.00064689806,0.94500613,0.00034946107,0.00040923324,0.003204377,0.034232274,0.000020546076],"about_ca_topic_score_codex":0.5948573,"about_ca_topic_score_gemma":0.85191226,"teacher_disagreement_score":0.40514272,"about_ca_system_score_codex":0.0328493,"about_ca_system_score_gemma":0.021212451,"threshold_uncertainty_score":0.8150574},"labels":[],"label_agreement":null},{"id":"W7024447282","doi":"","title":"A SPONDYLOARTHRITIS RESEARCH CONSORTIUM OF CANADA (SPARCC)-SCORE CUT-OFF &gt;= 3 AS BEST MATCH FOR THE ASAS DEFINITION OF A POSITIVE MRI OF THE SACROILIAC JOINTS","year":2012,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.0390343654971026,"score_gpt":0.2794535200406513,"score_spread":0.24041915454354873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024447282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428568,0.002038106,0.0029718452,0.0023591386,0.00043454557,0.00033600657,0.008518492,0.00015446861,0.040330574],"genre_scores_gemma":[0.98894125,0.00029952367,0.0048977146,0.00031514472,0.00004338713,0.000083817155,0.0030662068,0.00003308954,0.0023198044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931693,0.00010449106,0.000078560945,0.000061171886,0.00020649254,0.00023248242],"domain_scores_gemma":[0.99843735,0.00019425515,0.00028669817,0.000048633403,0.0006623431,0.00037064223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011364834,0.0006706074,0.00064038136,0.0024042972,0.0010537881,0.00090267544,0.0006908752,0.0009002154,0.006283676],"category_scores_gemma":[0.0037494458,0.00011159454,0.0009991142,0.0015649153,0.00060509914,0.00036424823,0.00063478394,0.00074349175,0.00083181116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018400383,0.00014030276,0.94890076,0.0001800774,0.0001757535,0.00081768015,0.00033613096,0.0005259001,0.0043185474,0.00078826846,0.018564014,0.023412518],"study_design_scores_gemma":[0.00012020014,0.00034103688,0.98471016,0.00016914603,0.00025974325,0.002694359,0.0010097955,0.0019014181,0.0012917644,0.0012941473,0.006157825,0.00005036337],"about_ca_topic_score_codex":0.14866357,"about_ca_topic_score_gemma":0.29945615,"teacher_disagreement_score":0.8513364,"about_ca_system_score_codex":0.0013307122,"about_ca_system_score_gemma":0.004538121,"threshold_uncertainty_score":0.29559654},"labels":[],"label_agreement":null},{"id":"W7024829187","doi":"","title":"Teste do Tempo & Troco: Estudo de validação","year":2011,"lang":"pt","type":"other","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Anxiety; Depressive symptoms; Mini–Mental State Examination; Test (biology)","score_opus":0.07427817152593398,"score_gpt":0.37234939770303954,"score_spread":0.2980712261771056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024829187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8387401,0.0046465625,0.07521563,0.002201879,0.0014412367,0.017657908,0.009107563,0.0004961151,0.050492994],"genre_scores_gemma":[0.93921834,0.0006807912,0.033458754,0.0005404129,0.00022059202,0.021114,0.0012544281,0.00023578614,0.003276926],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9336271,0.03523948,0.009032766,0.005247769,0.015491364,0.0013615916],"domain_scores_gemma":[0.79427654,0.14513017,0.026295573,0.01301199,0.019406853,0.001878835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07097549,0.00069922156,0.0017136852,0.0037654084,0.0014870784,0.0027989128,0.0022519813,0.0013750794,0.0064739184],"category_scores_gemma":[0.19208688,0.000651647,0.0024988854,0.0050727515,0.0027689054,0.0024536452,0.0031366155,0.001434501,0.00081244984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022604873,0.0011864172,0.843075,0.003658265,0.0019268503,0.00028073107,0.010104917,0.0014960828,0.0013470004,0.008503199,0.0055957627,0.12056523],"study_design_scores_gemma":[0.00079701934,0.0047632544,0.9363609,0.0018011031,0.001012853,0.00076659565,0.0054573757,0.0078046806,0.0042977524,0.008250379,0.028508946,0.00017918891],"about_ca_topic_score_codex":0.0027083496,"about_ca_topic_score_gemma":0.0025967269,"teacher_disagreement_score":0.07097549,"about_ca_system_score_codex":0.0018525319,"about_ca_system_score_gemma":0.0053503136,"threshold_uncertainty_score":0.37535876},"labels":[],"label_agreement":null},{"id":"W7025085096","doi":"","title":"Tiny songbird makes epic migration","year":2015,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Warbler; Songbird; Bird migration; Flock; EPIC; Lampyridae","score_opus":0.0136249244948634,"score_gpt":0.2369984241358911,"score_spread":0.22337349964102768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025085096","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21628371,0.0034437347,0.0048827427,0.030798495,0.020129183,0.000098402044,0.0015196025,0.002208343,0.72063583],"genre_scores_gemma":[0.45480838,0.0032974565,0.005367029,0.025078902,0.0024974989,0.0000696839,0.00227583,0.0006779987,0.5059272],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965763,0.00003873637,0.000008809868,0.0000826037,0.00013309263,0.00007904608],"domain_scores_gemma":[0.9993874,0.000028044,0.00004129417,0.000048418642,0.00015741681,0.00033744602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002548737,0.00039513307,0.00015939829,0.00030574802,0.0017104228,0.0012932597,0.0002975701,0.0006314101,0.0330372],"category_scores_gemma":[0.0010325635,0.00020534731,0.0002046214,0.00014599698,0.0008852025,0.0011653996,0.0018543827,0.0010341741,0.012952134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025456067,0.00016093814,0.073374465,0.00017225338,0.00006873849,0.0010481203,0.0033665951,0.0001667941,0.022794956,0.00892893,0.58620363,0.30345994],"study_design_scores_gemma":[0.000016242007,0.00013583608,0.05566548,0.00009165701,0.000024784013,0.0006216838,0.0027797825,0.00008357221,0.0015613978,0.0008891152,0.9381057,0.000024637173],"about_ca_topic_score_codex":0.008536054,"about_ca_topic_score_gemma":0.023438813,"teacher_disagreement_score":0.0330372,"about_ca_system_score_codex":0.0004885929,"about_ca_system_score_gemma":0.0004319571,"threshold_uncertainty_score":0.11052048},"labels":[],"label_agreement":null},{"id":"W7025217181","doi":"","title":"Three Essays in Economics","year":2019,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Investment (military); Order (exchange); Capital (architecture); General equilibrium theory; Human capital; Agriculture","score_opus":0.009254758073754452,"score_gpt":0.18821042595241852,"score_spread":0.17895566787866407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025217181","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031328702,0.11766773,0.0067194887,0.2621666,0.023092294,0.00008243047,0.00062365405,0.00020975356,0.58630514],"genre_scores_gemma":[0.106547914,0.10923413,0.0055157943,0.06226912,0.030081773,0.00025381264,0.0007377165,0.00040297088,0.68495685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99807054,0.0005629815,0.000100207595,0.000295624,0.00073955045,0.0002311666],"domain_scores_gemma":[0.9963852,0.0017387418,0.00017029897,0.0003705299,0.00094849634,0.00038678094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002577337,0.0008102147,0.0006818053,0.0026233965,0.0034630548,0.0060383882,0.0009938665,0.0024432973,0.034994923],"category_scores_gemma":[0.0077312496,0.0003343828,0.000762198,0.0029847568,0.0069212294,0.0049640937,0.002460576,0.004097543,0.010337188],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029090528,0.00003387503,0.00036941873,0.00019831557,0.00001216981,0.0000626987,0.00082832325,0.0002881045,0.00010447208,0.5285076,0.42813358,0.041432373],"study_design_scores_gemma":[0.000005553595,0.000008725258,0.00033458165,0.000249175,0.000002705574,0.000051274,0.0003953116,0.00009518286,0.000041822925,0.06771235,0.93109655,0.0000068418617],"about_ca_topic_score_codex":0.006651206,"about_ca_topic_score_gemma":0.006961455,"teacher_disagreement_score":0.034994923,"about_ca_system_score_codex":0.008181206,"about_ca_system_score_gemma":0.0046583656,"threshold_uncertainty_score":0.11706972},"labels":[],"label_agreement":null},{"id":"W7025518502","doi":"","title":"ZAŠTITA KOSINE NA PRISTUPNOM PUTU VE MESIHOVINA","year":2018,"lang":"hr","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Stability (learning theory); Software; Limiting; Work (physics)","score_opus":0.006750340974650223,"score_gpt":0.17658959632294605,"score_spread":0.16983925534829583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025518502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8590166,0.0068729245,0.060053952,0.00042461464,0.0003522647,0.000075324584,0.0036441342,0.0011758435,0.068384364],"genre_scores_gemma":[0.97612494,0.0012905871,0.01589042,0.00002233118,0.00003148733,0.000024169862,0.00089512457,0.00020774601,0.0055132015],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997135,0.000020792273,0.000026909433,0.00008002559,0.00011423891,0.000044503624],"domain_scores_gemma":[0.99981457,0.000027316673,0.000043114032,0.000029816665,0.00006433542,0.000020794534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745081,0.0005076651,0.00061588496,0.0020194463,0.0008824525,0.0023922236,0.00043993435,0.0003781677,0.004377837],"category_scores_gemma":[0.00075871416,0.00028204912,0.00048674812,0.002623746,0.00072719686,0.0013558154,0.0012092348,0.00058709906,0.0011539019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000728102,0.00011473249,0.28159693,0.0022339677,0.0003824232,0.003796126,0.004742382,0.055516437,0.03059995,0.049942866,0.0075165234,0.5628296],"study_design_scores_gemma":[0.000040046678,0.00041556166,0.60883933,0.0009164342,0.0005813245,0.0060978467,0.008235521,0.035329808,0.035303757,0.026378509,0.2776212,0.00024065364],"about_ca_topic_score_codex":0.006714432,"about_ca_topic_score_gemma":0.015462682,"teacher_disagreement_score":0.006714432,"about_ca_system_score_codex":0.00054826104,"about_ca_system_score_gemma":0.0008903205,"threshold_uncertainty_score":0.014645338},"labels":[],"label_agreement":null},{"id":"W7025567145","doi":"","title":"William B. Young letters, 1828-1835","year":2024,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Speculation; Subject (documents)","score_opus":0.006068550255386952,"score_gpt":0.17112389089453708,"score_spread":0.16505534063915014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025567145","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035428454,0.0099589415,0.00026475015,0.03658455,0.017854115,0.00009090526,0.0031028846,0.00018183679,0.92841905],"genre_scores_gemma":[0.0028901708,0.0009596073,0.000041885436,0.0010961877,0.00022622739,0.0000066318976,0.00017872968,0.000024777515,0.99457574],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955064,0.00003043913,0.000015132604,0.00006278436,0.00019364507,0.00014740592],"domain_scores_gemma":[0.99940526,0.000043243566,0.000022812112,0.000019678964,0.00028330644,0.00022578888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038045718,0.00048172337,0.00021967587,0.0006935724,0.0052442816,0.0030843122,0.00036464533,0.0014192951,0.19888137],"category_scores_gemma":[0.0018692582,0.00030387653,0.00017762044,0.0007944109,0.0007711051,0.0008266215,0.0011745235,0.0014807011,0.07683754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010110937,0.0000020745158,0.00017424402,0.000010596869,4.8083456e-7,0.00008808154,0.000119147844,0.000005652493,0.000043148906,0.001721082,0.99166393,0.006161428],"study_design_scores_gemma":[0.0000010583984,0.0000016419738,0.00046119167,0.000013810577,2.9055235e-7,0.000022093245,0.00011399215,0.0000027242247,0.00002554879,0.00008529194,0.99927086,0.0000014479566],"about_ca_topic_score_codex":0.25020972,"about_ca_topic_score_gemma":0.5411979,"teacher_disagreement_score":0.25020972,"about_ca_system_score_codex":0.0060132327,"about_ca_system_score_gemma":0.004806141,"threshold_uncertainty_score":0.66532445},"labels":[],"label_agreement":null},{"id":"W7026169853","doi":"","title":"吏��뿰�삎 洹� �룞�넻�쓽 移섎즺 �떆 �븘�뒪�뵾由� 諛� �븘�꽭�듃�븘誘몃끂�렂�쓽 �슚怨�","year":2016,"lang":"en","type":"article","venue":"YUHSpace (Yonsei University Medical Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Placebo; Visual analogue scale; Delayed onset muscle soreness; Aspirin; Acetaminophen; McGill Pain Questionnaire; Isometric exercise","score_opus":0.0033159750218205784,"score_gpt":0.15583907527106525,"score_spread":0.15252310024924468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026169853","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99552554,0.003530639,0.00015282644,0.00007957726,0.00003203349,0.00012297108,0.00007244355,0.0000045704546,0.00047936226],"genre_scores_gemma":[0.99390644,0.002593636,0.00105734,0.00024620845,0.00013460444,0.00017412151,0.00018768065,0.0000017342993,0.0016982453],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981767,0.00004830538,0.000023218923,0.000034632634,0.000046162957,0.00003002426],"domain_scores_gemma":[0.99968135,0.00006787948,0.00012573284,0.000012404855,0.000060165712,0.000052432944],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004430643,0.00018435217,0.00036114495,0.00013584216,0.00013555064,0.00013786586,0.00019571798,0.00025909106,0.00246052],"category_scores_gemma":[0.00045391766,0.00006795041,0.00018239043,0.0001317046,0.00018481418,0.00017400792,0.00009128189,0.00017163814,0.0003807812],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.097511,0.02446603,0.21165952,0.0073827393,0.00048812426,0.001278755,0.00054173084,0.0003849207,0.13365233,0.00018182905,0.0020164624,0.5204366],"study_design_scores_gemma":[0.0044464115,0.2938682,0.6719746,0.00020980478,0.00047349045,0.002997766,0.00058758294,0.00058823527,0.018338917,0.00007602184,0.0063948627,0.00004412097],"about_ca_topic_score_codex":0.0002876447,"about_ca_topic_score_gemma":0.0006739348,"teacher_disagreement_score":0.99753946,"about_ca_system_score_codex":0.00013204147,"about_ca_system_score_gemma":0.0002958248,"threshold_uncertainty_score":0.008231223},"labels":[],"label_agreement":null},{"id":"W7026664259","doi":"","title":"Avaliação da presença de nitrosaminas em medicamentos","year":2023,"lang":"pt","type":"dissertation","venue":"Repositório Comum (Repositório Científico de Acesso Aberto de Portugal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Healthcare system","score_opus":0.01888685568723396,"score_gpt":0.28306528405452175,"score_spread":0.2641784283672878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026664259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9299617,0.051682223,0.005363873,0.0016570113,0.00022362081,0.00021760915,0.0013867446,0.00010428065,0.009402907],"genre_scores_gemma":[0.9712829,0.017381663,0.00484547,0.0007822214,0.0001105712,0.00016331395,0.0008139996,0.000018203797,0.004601726],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972582,0.0006800226,0.0002403732,0.0005182162,0.0011061111,0.00019707068],"domain_scores_gemma":[0.99615496,0.0011957467,0.0013426817,0.00017095909,0.000956122,0.0001796041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018866074,0.0003614348,0.0005688605,0.0011823333,0.0005009923,0.0013244578,0.00041748647,0.00093758665,0.0029520153],"category_scores_gemma":[0.0047189044,0.00028693667,0.0006671841,0.0011946838,0.00046920255,0.0007246362,0.00045450652,0.00069506984,0.00042996075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051947045,0.0008448571,0.42064974,0.005475319,0.0009253353,0.0013813364,0.00316918,0.0010669988,0.2587566,0.0015031159,0.0031181425,0.29791468],"study_design_scores_gemma":[0.000119896446,0.0076544574,0.75195915,0.0013776255,0.0012980406,0.0042615966,0.0042898976,0.0027976618,0.15806465,0.001919961,0.06611574,0.00014137254],"about_ca_topic_score_codex":0.0030316878,"about_ca_topic_score_gemma":0.003872817,"teacher_disagreement_score":0.0030316878,"about_ca_system_score_codex":0.0007676105,"about_ca_system_score_gemma":0.0011973291,"threshold_uncertainty_score":0.00997746},"labels":[],"label_agreement":null},{"id":"W7027408795","doi":"","title":"Collaborative agents - research and development international workshops, CARE@AI09 2009/CARE@IAT10 2010, Melbourne, Australia, December 1, 2009 and Toronto, Canada, August 31, 2010 ; revised selected papers","year":2011,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); The Internet","score_opus":0.04128732230323284,"score_gpt":0.2961981064113758,"score_spread":0.25491078410814294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027408795","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024196329,0.053964797,0.16642457,0.10624574,0.07374805,0.0013139583,0.005191308,0.0041991686,0.56471604],"genre_scores_gemma":[0.050375037,0.019077046,0.045946456,0.002028909,0.0034859711,0.00037693625,0.0038287542,0.0014134969,0.8734674],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982078,0.0005172431,0.000112082605,0.00032328547,0.00058561546,0.00025395447],"domain_scores_gemma":[0.991569,0.0018750345,0.00019148237,0.00062562723,0.0036674058,0.0020714183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00780542,0.0016134537,0.0009927711,0.0017457106,0.0022941423,0.006336393,0.0013745761,0.0022879078,0.06426277],"category_scores_gemma":[0.008127203,0.00060069695,0.00062772626,0.002314982,0.001172575,0.0047131456,0.0027712134,0.0029236763,0.018277775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024296483,0.0003124473,0.0005971063,0.00032002854,0.000025673495,0.00012271208,0.001111998,0.001249281,0.0016218591,0.019820994,0.7640644,0.21051046],"study_design_scores_gemma":[0.000058227582,0.000081466256,0.0012674672,0.0002849747,0.000029389783,0.00009760309,0.0010531457,0.0022152325,0.0019359642,0.009064777,0.983887,0.000024795076],"about_ca_topic_score_codex":0.016674012,"about_ca_topic_score_gemma":0.033829562,"teacher_disagreement_score":0.06426277,"about_ca_system_score_codex":0.0036606113,"about_ca_system_score_gemma":0.0071706767,"threshold_uncertainty_score":0.21498042},"labels":[],"label_agreement":null},{"id":"W7027633600","doi":"","title":"Decarbonization of the construction sector in Sweden : exploring barriers to and drivers for increased use of wood-based materials in the construction industry","year":2024,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineering Link (Canada)","funders":"Energimyndigheten; Vetenskapsrådet; Svenska Forskningsrådet Formas","keywords":"Greenhouse gas; Raw material; European union; Felling; Climate change; Carbon neutrality; Competition (biology); Plan (archaeology)","score_opus":0.04211713166013416,"score_gpt":0.26220499408884973,"score_spread":0.22008786242871559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027633600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99582267,0.0011176347,0.0001303504,0.00045105733,0.000005670452,0.0000062801873,0.0001951171,0.000005397214,0.002265778],"genre_scores_gemma":[0.99750596,0.0013609838,0.00014341525,0.00003879351,0.0000057045854,0.0000066794437,0.00019049199,0.0000033183792,0.0007446618],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99966097,0.00006156851,0.000021802627,0.000035974266,0.00006354297,0.00015612505],"domain_scores_gemma":[0.9992435,0.00021649933,0.0002755812,0.000012147587,0.00010572578,0.00014659643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041090476,0.00030548693,0.00029883638,0.0017515153,0.0005536033,0.0024829274,0.0003234636,0.00064371905,0.0019500869],"category_scores_gemma":[0.00065728306,0.00027127692,0.00070836535,0.0020906716,0.0004215078,0.0012018719,0.0013907871,0.0007258066,0.00040946636],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017753971,0.0002358317,0.9481962,0.0005451269,0.00017503159,0.002199163,0.0107704345,0.0030148036,0.0010936168,0.0060810605,0.0015777937,0.025933383],"study_design_scores_gemma":[0.0000048646198,0.000059370508,0.95485616,0.00033282992,0.00008526181,0.00019935935,0.036476947,0.0018510622,0.00022543693,0.0011006127,0.004788498,0.00001960999],"about_ca_topic_score_codex":0.049325414,"about_ca_topic_score_gemma":0.073901094,"teacher_disagreement_score":0.049325414,"about_ca_system_score_codex":0.001637316,"about_ca_system_score_gemma":0.0023149732,"threshold_uncertainty_score":0.09807658},"labels":[],"label_agreement":null},{"id":"W7027988079","doi":"","title":"El surgimiento de las variedades americanas del español, el portugués y el francés: elementos para un estudio comparativo","year":2025,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Hyporeflexia; TSG101; Liquation; Dysgeusia; Fusible alloy","score_opus":0.00974573353589034,"score_gpt":0.27307442460168185,"score_spread":0.2633286910657915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027988079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9139955,0.026380321,0.0011673183,0.0027329922,0.00011060314,0.000034048888,0.0002644105,0.000016586193,0.05529828],"genre_scores_gemma":[0.97927856,0.01693738,0.000947773,0.00028101262,0.00011095503,0.0000387913,0.00008900476,0.000022692371,0.0022938962],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876547,0.000640326,0.00006430998,0.00017011976,0.0002101985,0.00014963959],"domain_scores_gemma":[0.9964133,0.0024664071,0.00042623497,0.00025386031,0.00035569412,0.00008452223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033424655,0.0002516451,0.00030853038,0.004905785,0.0019400009,0.0038094365,0.000413619,0.0005721235,0.0026921048],"category_scores_gemma":[0.006037856,0.0001845685,0.00020644827,0.0063279956,0.004351894,0.0037287308,0.0015968874,0.0006991772,0.00017691257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034398158,0.00017376129,0.17805906,0.0016395708,0.00014533197,0.002465116,0.46940264,0.00016893455,0.0018335356,0.07544655,0.0029262565,0.26739523],"study_design_scores_gemma":[0.000019399908,0.00012637138,0.20789196,0.0018182108,0.00011659588,0.0025728636,0.6285116,0.00014547615,0.00090416754,0.008029816,0.14981917,0.00004439582],"about_ca_topic_score_codex":0.011270743,"about_ca_topic_score_gemma":0.0304553,"teacher_disagreement_score":0.011270743,"about_ca_system_score_codex":0.0017568928,"about_ca_system_score_gemma":0.0013712888,"threshold_uncertainty_score":0.022410274},"labels":[],"label_agreement":null},{"id":"W7028000121","doi":"","title":"Development Charges: The Price is Right? An Evaluation of the Patterns, Processes and Outcomes of Development Charge By-laws in Ontario Regional Municipalities","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Local government; Government (linguistics); Capital expenditure; Capital (architecture); Municipal services; Public infrastructure","score_opus":0.10959810804463521,"score_gpt":0.2969581348999232,"score_spread":0.18736002685528796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028000121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952864,0.00011541096,0.00008828821,0.0003363826,0.0000029436137,0.00007036158,0.00036994924,0.0000050323983,0.0037253357],"genre_scores_gemma":[0.9974643,0.00022968261,0.00019217274,0.000049574573,0.0000027196393,0.00004132519,0.0002763221,0.000004827607,0.0017390202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99474204,0.00087791734,0.00035705484,0.00036816494,0.0024554161,0.0011994976],"domain_scores_gemma":[0.9837749,0.0025527752,0.00564215,0.000695898,0.005756771,0.0015775997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003058379,0.00016494555,0.00031974787,0.0020439103,0.0032673886,0.00264028,0.001256472,0.0004590192,0.0009919386],"category_scores_gemma":[0.016164115,0.00030715507,0.00040697696,0.006717028,0.0027554086,0.0013556612,0.002047177,0.00055063545,0.00012093863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010364573,0.00006944371,0.9336836,0.000100079844,0.000034472996,0.0003765898,0.041314196,0.00052835763,0.00057153,0.0013916506,0.00088506157,0.02094134],"study_design_scores_gemma":[0.000003244802,0.00004659772,0.9591646,0.000021328948,0.000008008866,0.000021479593,0.03733288,0.00022300752,0.00010064503,0.00006864639,0.0029979637,0.000011535527],"about_ca_topic_score_codex":0.94808865,"about_ca_topic_score_gemma":0.9814627,"teacher_disagreement_score":0.051911354,"about_ca_system_score_codex":0.0479286,"about_ca_system_score_gemma":0.03300259,"threshold_uncertainty_score":0.34774798},"labels":[],"label_agreement":null},{"id":"W7028101220","doi":"","title":"Editing Robert Grosseteste: Papers Given at the Thirty-Sixth Annual Conference on Editorial Problems, University of Toronto, 3-4 November 2000","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exposition (narrative); Presentation (obstetrics); Work (physics)","score_opus":0.007527709281929181,"score_gpt":0.19929514757686148,"score_spread":0.1917674382949323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028101220","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036389625,0.009601962,0.0010902737,0.045011643,0.90713525,0.00015000282,0.0007550968,0.0005482518,0.035343606],"genre_scores_gemma":[0.0064961887,0.008745126,0.0018288839,0.009282848,0.36645535,0.00017225667,0.00099835,0.000995193,0.60502577],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941707,0.0008835622,0.00040098862,0.00069089717,0.003334454,0.000519463],"domain_scores_gemma":[0.96542835,0.0046782284,0.0018696288,0.0010265239,0.022797126,0.004200205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060572573,0.002124663,0.0017235792,0.0069306195,0.0034420372,0.010707033,0.0019129453,0.0030261127,0.15143776],"category_scores_gemma":[0.03334248,0.0005877841,0.0008033189,0.0025110252,0.0013285992,0.0026995402,0.0019962576,0.003113993,0.08331788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014417815,0.00000273841,0.000008710621,0.000040491137,0.0000014656465,0.000016397496,0.000017394887,0.000010079108,0.00007220894,0.00026022512,0.99450785,0.0050480394],"study_design_scores_gemma":[0.00001014643,0.0000071771537,0.00015497944,0.00006361793,0.0000050587523,0.000035721703,0.000059147238,0.00004364735,0.00011354001,0.00048886024,0.9990113,0.000006808607],"about_ca_topic_score_codex":0.006182618,"about_ca_topic_score_gemma":0.012439427,"teacher_disagreement_score":0.15143776,"about_ca_system_score_codex":0.0032603475,"about_ca_system_score_gemma":0.00466518,"threshold_uncertainty_score":0.5066098},"labels":[],"label_agreement":null},{"id":"W7028102362","doi":"","title":"Effects of School-to-Work Programs on Cognitive Engagement: Examining the Studentsâ Perspective","year":2011,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Cognition; Perception; Student engagement; Cognitive style; Cognitive reframing","score_opus":0.00788311949167971,"score_gpt":0.17481434717479688,"score_spread":0.16693122768311716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028102362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99665964,0.00006464256,0.00008456925,0.00016030863,0.000006442915,0.000026153175,0.00001107846,0.000003926965,0.0029831857],"genre_scores_gemma":[0.9992536,0.00007366845,0.00013226699,0.00004011098,0.000004207812,0.00004009599,0.00001147462,0.0000020148218,0.00044257677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961832,0.001927611,0.00008842644,0.000187678,0.0006428257,0.0009701293],"domain_scores_gemma":[0.9918567,0.0038971766,0.0012892052,0.00024434327,0.00075860054,0.0019540463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002450996,0.00037599824,0.00038424996,0.0012390835,0.0022461966,0.0029283313,0.0007364552,0.0005910258,0.0034067722],"category_scores_gemma":[0.0070773032,0.00019414834,0.00057807215,0.0007697314,0.0020897146,0.0007397023,0.003745641,0.00168249,0.00021151193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001689063,0.028879456,0.4435133,0.000876454,0.00034457687,0.001355653,0.32264623,0.00046547008,0.008299315,0.0031762035,0.0014292935,0.18732497],"study_design_scores_gemma":[0.000091805225,0.00259194,0.7552637,0.00014756095,0.00009268406,0.00010763161,0.23373915,0.00024978747,0.002342667,0.0005378664,0.0048058457,0.000029300516],"about_ca_topic_score_codex":0.006866057,"about_ca_topic_score_gemma":0.015896497,"teacher_disagreement_score":0.006866057,"about_ca_system_score_codex":0.0018456005,"about_ca_system_score_gemma":0.0025380226,"threshold_uncertainty_score":0.0136522055},"labels":[],"label_agreement":null},{"id":"W7028173221","doi":"","title":"Éco-info : L'évaluation environnementale en Ontario","year":2005,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Product (mathematics); Work (physics); Identification (biology)","score_opus":0.007533639696639475,"score_gpt":0.18306098164685916,"score_spread":0.17552734195021968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028173221","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.121281095,0.010264194,0.017574206,0.016989404,0.0011775394,0.0011109724,0.09394691,0.0047158566,0.7329399],"genre_scores_gemma":[0.21536057,0.006524995,0.017730536,0.00039318233,0.00011806584,0.00048494502,0.015539308,0.0018674824,0.74198085],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99602497,0.00035159316,0.000113816,0.0002267691,0.0027393687,0.000543451],"domain_scores_gemma":[0.9960406,0.00041235777,0.00015262362,0.00021569345,0.002584948,0.00059388747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032280644,0.0010300041,0.00077755935,0.002845459,0.0043361853,0.0072158384,0.0008539683,0.0009543829,0.060818564],"category_scores_gemma":[0.004620792,0.00052063586,0.0007101998,0.0058244173,0.0018970959,0.0017888271,0.0022561292,0.0009256812,0.007294203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006727507,0.0002442989,0.04491141,0.0011952145,0.000084574756,0.00072847557,0.0059537673,0.005033269,0.005779558,0.037920874,0.4987328,0.39874306],"study_design_scores_gemma":[0.000065177985,0.00006358938,0.09549383,0.00027553138,0.00003240081,0.00009795355,0.0029677586,0.0024610658,0.0025149453,0.001583311,0.89435935,0.00008496744],"about_ca_topic_score_codex":0.98139936,"about_ca_topic_score_gemma":0.98572576,"teacher_disagreement_score":0.060818564,"about_ca_system_score_codex":0.042198926,"about_ca_system_score_gemma":0.08283921,"threshold_uncertainty_score":0.30617607},"labels":[],"label_agreement":null},{"id":"W7028201577","doi":"","title":"Evaluating performance of Ontario tourism regions using a two-stage network Data Envelopment Analysis approach","year":2021,"lang":"en","type":"article","venue":"Scholarworks (University of Massachusetts Amherst)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Diafiltration; Articular cartilage damage; TSG101; Hyporeflexia","score_opus":0.07936930117313991,"score_gpt":0.28070454984631443,"score_spread":0.20133524867317454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028201577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93831086,0.0002187081,0.05018504,0.00023965286,0.000006295408,0.00036433258,0.0014172427,0.00005846408,0.009199411],"genre_scores_gemma":[0.98811185,0.0001373867,0.010261188,0.000006640434,0.0000010013927,0.000102253216,0.00040451306,0.0000065774075,0.0009684492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986683,0.00049230503,0.00007710195,0.00015314393,0.00043783904,0.00017126837],"domain_scores_gemma":[0.99813795,0.00085590343,0.00027362737,0.000099841476,0.0005700062,0.00006269874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023821783,0.00070233643,0.00046530666,0.001741035,0.0006341451,0.0020872452,0.0005741455,0.00042135775,0.0009348263],"category_scores_gemma":[0.0055098752,0.00026310232,0.0010059956,0.0027352532,0.00060094206,0.0009987263,0.0009346125,0.00036425397,0.000103496735],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017520956,0.0001251716,0.11717559,0.0001929374,0.00018956815,0.00015039413,0.0010715035,0.8419405,0.0022226505,0.007035641,0.0005698421,0.029150885],"study_design_scores_gemma":[0.000018681822,0.00021473065,0.088796794,0.00004792961,0.00006299111,0.000023097942,0.0019082775,0.9020808,0.002023817,0.0025861785,0.0021780953,0.000058692676],"about_ca_topic_score_codex":0.51869553,"about_ca_topic_score_gemma":0.5422095,"teacher_disagreement_score":0.48130447,"about_ca_system_score_codex":0.016639546,"about_ca_system_score_gemma":0.010666253,"threshold_uncertainty_score":0.96827793},"labels":[],"label_agreement":null},{"id":"W7028361780","doi":"","title":"Essais sur la concentration spatiale industrielle","year":2022,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation infrastructure; Econometric analysis","score_opus":0.01098316291216638,"score_gpt":0.18325854734558025,"score_spread":0.17227538443341386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028361780","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3279714,0.060237255,0.12627287,0.050817344,0.00044907222,0.000117484815,0.0029933623,0.00040553234,0.43073562],"genre_scores_gemma":[0.962927,0.010929928,0.010379868,0.00095362257,0.0002751274,0.00009249388,0.00047016502,0.000086944994,0.013884724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99419606,0.0014988398,0.0003366766,0.0021081972,0.0014305107,0.0004297042],"domain_scores_gemma":[0.975937,0.014330924,0.0034982788,0.002171231,0.0034061968,0.000656421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061914227,0.0006668062,0.0010637916,0.0056853574,0.0021316947,0.009702037,0.0013639177,0.0020111257,0.022620602],"category_scores_gemma":[0.024304682,0.0005938709,0.0014226198,0.008544723,0.010252468,0.007948899,0.0037291949,0.0017687525,0.0015374611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008076748,0.00002589196,0.049839955,0.00037874476,0.0002809478,0.00025109728,0.007950337,0.00587682,0.0007708244,0.87597746,0.0036219074,0.05494523],"study_design_scores_gemma":[0.000038495724,0.00010442887,0.12326541,0.0007750865,0.00021725301,0.0005977895,0.013597475,0.010151606,0.0010101633,0.6867156,0.16336384,0.00016282489],"about_ca_topic_score_codex":0.053061705,"about_ca_topic_score_gemma":0.0339001,"teacher_disagreement_score":0.053061705,"about_ca_system_score_codex":0.0059828986,"about_ca_system_score_gemma":0.0020882017,"threshold_uncertainty_score":0.105505705},"labels":[],"label_agreement":null},{"id":"W7028367941","doi":"","title":"Exploring Immigration through Cultural Events","year":2024,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Affect (linguistics); Ukrainian; Cultural diversity; Connection (principal bundle); Ethnic group","score_opus":0.037823897242701056,"score_gpt":0.24716115936303157,"score_spread":0.20933726212033052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028367941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6885447,0.0027788507,0.0020318392,0.009345212,0.00048253668,0.00011573511,0.0010326795,0.00008570759,0.2955828],"genre_scores_gemma":[0.97407883,0.0026348063,0.0010352448,0.0007336345,0.00006493925,0.00007661609,0.00035541772,0.000082589555,0.020937935],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987914,0.00063287636,0.000020984173,0.00008902286,0.00013715356,0.00032859066],"domain_scores_gemma":[0.99850345,0.00068047177,0.00013041195,0.00007527371,0.00018322075,0.00042722237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012396773,0.00060605834,0.00027878585,0.0020351384,0.020743567,0.011658751,0.0012452607,0.0015591483,0.010015906],"category_scores_gemma":[0.002771336,0.00030890887,0.00037747592,0.0030523036,0.011161336,0.0052637774,0.0092112105,0.002393149,0.00070515624],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034023265,0.000016452906,0.0042658807,0.00008885862,0.000007859014,0.0012457347,0.966639,0.00007767606,0.00016813171,0.012745647,0.006311948,0.008398688],"study_design_scores_gemma":[0.000002716544,0.000006950434,0.0024634227,0.00013759045,0.0000062555664,0.00015838015,0.89574367,0.000045196357,0.00007655747,0.00089865696,0.10045164,0.000009003937],"about_ca_topic_score_codex":0.2571005,"about_ca_topic_score_gemma":0.5091167,"teacher_disagreement_score":0.2571005,"about_ca_system_score_codex":0.010340584,"about_ca_system_score_gemma":0.0059219757,"threshold_uncertainty_score":0.511208},"labels":[],"label_agreement":null},{"id":"W7028422826","doi":"","title":"Evaluating the Effectiveness of Code2Vec for Bug Prediction When Considering That Not All Bugs Are the Same","year":2020,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Nucleofection; Term (time); Quality (philosophy); Limiting; Matching (statistics); Population","score_opus":0.040315630378938636,"score_gpt":0.25631522771906173,"score_spread":0.21599959734012308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028422826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7628979,0.010559608,0.10112575,0.0024587803,0.003279596,0.00067256665,0.020621255,0.087956615,0.010427845],"genre_scores_gemma":[0.77292013,0.0019623523,0.14795472,0.0010075159,0.0004405177,0.00041440193,0.06755074,0.0017813308,0.0059683584],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732083,0.00046260824,0.00022590857,0.0009757859,0.0007161621,0.00029876464],"domain_scores_gemma":[0.9926761,0.0044012377,0.00038129534,0.00076462387,0.0014378186,0.00033901547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003074529,0.0033667085,0.001590071,0.003769598,0.0011326094,0.0020224382,0.0019295648,0.0020865172,0.0023517364],"category_scores_gemma":[0.012399155,0.00070389494,0.0014423467,0.0029168967,0.00070371357,0.0036330014,0.0008937896,0.0024722023,0.0028227605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027923447,0.0018760625,0.093493864,0.0010783888,0.0012248657,0.00064179563,0.00029279236,0.12967117,0.011966487,0.0009841876,0.08534655,0.67063147],"study_design_scores_gemma":[0.000094568444,0.0004344543,0.00792244,0.000034980018,0.00010063005,0.00015369237,0.00014140249,0.9819826,0.0049851825,0.00058714434,0.0035183418,0.000044554905],"about_ca_topic_score_codex":0.054731034,"about_ca_topic_score_gemma":0.06509064,"teacher_disagreement_score":0.054731034,"about_ca_system_score_codex":0.0013930518,"about_ca_system_score_gemma":0.0023088173,"threshold_uncertainty_score":0.10882497},"labels":[],"label_agreement":null},{"id":"W7028429172","doi":"","title":"-$0.24 EPS Expected for Capstone Turbine Co. (NASDAQ:CPST) This Quarter","year":2020,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Turbine; Work (physics); Capstone","score_opus":0.013157231670788139,"score_gpt":0.24615851382749432,"score_spread":0.23300128215670618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028429172","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00068756856,0.00016948667,0.0015245439,0.0010720793,0.0022079071,0.00013253356,0.002139683,0.0040726042,0.9879936],"genre_scores_gemma":[0.00087903056,0.00007178127,0.00027031207,0.0001455154,0.00010192149,0.00002099211,0.00095729635,0.0006047365,0.99694854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994504,0.000040520932,0.000013592307,0.00007973906,0.0003214634,0.00009433816],"domain_scores_gemma":[0.9974477,0.00013378801,0.000044017735,0.00026214737,0.0011198706,0.0009925213],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007291263,0.0014970717,0.000933896,0.0020949985,0.0016746337,0.0047820774,0.0013457014,0.0015955399,0.91848683],"category_scores_gemma":[0.0024478096,0.00074829714,0.00090508687,0.0009383113,0.0006776794,0.002061974,0.0031751418,0.0016349116,0.8822671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006985576,0.00003319894,0.000083114064,0.00003728029,0.0000017707509,0.00002891168,0.000010091807,0.00007671606,0.00043901533,0.0010078248,0.9527241,0.04548812],"study_design_scores_gemma":[0.000022718892,0.000059343856,0.0006347139,0.000048751604,0.0000026936586,0.0000706635,0.000059691625,0.00035002493,0.00028186713,0.000511667,0.9979456,0.000012315878],"about_ca_topic_score_codex":0.007943335,"about_ca_topic_score_gemma":0.014776763,"teacher_disagreement_score":0.08151317,"about_ca_system_score_codex":0.0010302338,"about_ca_system_score_gemma":0.0015606164,"threshold_uncertainty_score":0.116268575},"labels":[],"label_agreement":null},{"id":"W7028466897","doi":"","title":"Fictions historiques pour la jeunesse en France et au Québec","year":2021,"lang":"fr","type":"book","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History of literature; Conscience; Literary criticism","score_opus":0.028635891102062796,"score_gpt":0.24681723208304296,"score_spread":0.21818134098098016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028466897","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.117375486,0.11061993,0.0016829415,0.062935665,0.008142625,0.00012446738,0.0020839046,0.0002954016,0.6967395],"genre_scores_gemma":[0.28233007,0.022275409,0.00085808104,0.004015336,0.00068892684,0.000045266297,0.0006387539,0.00014653335,0.68900156],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918777,0.00014810177,0.00002637518,0.000092140996,0.00031496878,0.00023075518],"domain_scores_gemma":[0.99766785,0.0005114736,0.0001339263,0.000114349896,0.0012696375,0.00030274506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096864806,0.00053623883,0.0002683948,0.0032323187,0.013203537,0.0057730717,0.0007083393,0.0011983938,0.0260877],"category_scores_gemma":[0.0030501643,0.000213203,0.00024782028,0.004188745,0.004625751,0.0015028343,0.0011231658,0.0018484945,0.0018555119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089093875,0.000053204803,0.011074178,0.00067767774,0.000036716126,0.0015699557,0.1186897,0.00058779924,0.0017311362,0.18835378,0.5104263,0.16671042],"study_design_scores_gemma":[0.0000018854143,0.000005897437,0.011712327,0.00024172908,0.0000068435156,0.00012109501,0.009421895,0.00007181714,0.00017747894,0.0009097743,0.9773132,0.000016047248],"about_ca_topic_score_codex":0.94320375,"about_ca_topic_score_gemma":0.97725904,"teacher_disagreement_score":0.056796253,"about_ca_system_score_codex":0.04303091,"about_ca_system_score_gemma":0.042544063,"threshold_uncertainty_score":0.3122126},"labels":[],"label_agreement":null},{"id":"W7028489823","doi":"","title":"Expansión urbana en la Región Metropolitana de Santiago de Chile entre 1997 y 2013 : Una aproximación desde la planificación y la normativa urbana","year":2024,"lang":"ca","type":"article","venue":"Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidad El Bosque","keywords":"Context (archaeology); Urban planning; Quarter (Canadian coin)","score_opus":0.003150242004178584,"score_gpt":0.23610620957189551,"score_spread":0.23295596756771694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028489823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95711076,0.002758377,0.00043821117,0.0073812474,0.00007018001,0.000110874826,0.0040819896,0.000035632787,0.02801269],"genre_scores_gemma":[0.982895,0.0021092328,0.0003916483,0.0003113931,0.00003479257,0.00019990375,0.0013261097,0.000014038979,0.012717852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956566,0.000082474966,0.00002458757,0.00007175424,0.00007944917,0.00017602798],"domain_scores_gemma":[0.9990632,0.00018314313,0.0003130523,0.00004637858,0.00022809382,0.00016614114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000839946,0.00018845807,0.00018495643,0.0012146998,0.0014151104,0.002448321,0.0006506485,0.0003433388,0.007199327],"category_scores_gemma":[0.0025174997,0.00021651805,0.00026740582,0.0035487032,0.0011826312,0.0019204709,0.0029666529,0.00085688074,0.0004190954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022419603,0.00008314302,0.8295296,0.00064309285,0.00005715045,0.0009056918,0.0675553,0.00070325116,0.00065274985,0.014488486,0.017350959,0.06780649],"study_design_scores_gemma":[0.0000086793625,0.00003085411,0.8431866,0.0003918454,0.000018342853,0.00010376585,0.09830749,0.00027633205,0.00022422144,0.00056777574,0.056863986,0.000020038935],"about_ca_topic_score_codex":0.38564822,"about_ca_topic_score_gemma":0.55524516,"teacher_disagreement_score":0.38564822,"about_ca_system_score_codex":0.009135064,"about_ca_system_score_gemma":0.0109427655,"threshold_uncertainty_score":0.76680696},"labels":[],"label_agreement":null},{"id":"W7028564203","doi":"","title":"Faculty Council Meeting - Oct 09, 2009","year":2009,"lang":"en","type":"article","venue":"oURspace (University of Regina)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"MEDLINE; Work (physics); Government (linguistics)","score_opus":0.022881758309279705,"score_gpt":0.2093822484009183,"score_spread":0.18650049009163858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028564203","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013756116,0.00800273,0.003184312,0.08664114,0.18058857,0.002050496,0.014594188,0.0026158674,0.68856657],"genre_scores_gemma":[0.00413854,0.00053064694,0.00036332125,0.0010860971,0.00287748,0.000075117314,0.0014413445,0.00014879771,0.98933864],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849844,0.00012867764,0.000053259027,0.00020933463,0.00056500064,0.00054536096],"domain_scores_gemma":[0.996387,0.000092890994,0.00008432573,0.0001415271,0.0015719084,0.0017223919],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031278876,0.001081623,0.0007371897,0.0013449364,0.004365863,0.0044159545,0.0016426421,0.0043576066,0.44818804],"category_scores_gemma":[0.0023741336,0.00048262748,0.00080026814,0.00074765773,0.00050745223,0.0012384333,0.003005553,0.0026641667,0.31368503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026616876,0.00009792839,0.00039209647,0.000090558846,0.000005943093,0.0001005992,0.00003768752,0.000062459185,0.00071290537,0.00048553324,0.97447133,0.023276947],"study_design_scores_gemma":[0.00003338515,0.00010884952,0.0021667965,0.00005265637,0.0000075945486,0.000037075068,0.00014662858,0.00008374237,0.0005020971,0.00017731285,0.9966748,0.000009135047],"about_ca_topic_score_codex":0.010216116,"about_ca_topic_score_gemma":0.05063432,"teacher_disagreement_score":0.44818804,"about_ca_system_score_codex":0.0021670589,"about_ca_system_score_gemma":0.0070631164,"threshold_uncertainty_score":0.7870928},"labels":[],"label_agreement":null},{"id":"W7028574119","doi":"","title":"Genetic risk for schizophrenia and autism, social impairment and developmental pathways to psychosis","year":2018,"lang":"en","type":"article","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; Vetenskapsrådet; Fondation pour la Recherche Médicale; EU Joint Programme – Neurodegenerative Disease Research; Institut National de la Santé et de la Recherche Médicale; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Medical Research Council; Universität Heidelberg; University of Toronto; Svenska Forskningsrådet Formas; Deutsche Forschungsgemeinschaft; University College Dublin; Mission Interministérielle de Lutte Contre les Drogues et les Conduites Addictives; Universität Hamburg; Science Foundation Ireland; King's College London; Fondation de France; Technische Universität Dresden; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; South London and Maudsley NHS Foundation Trust","keywords":"Schizophrenia (object-oriented programming); Psychosis; Autism; Polygenic risk score; Autism spectrum disorder; Association (psychology); Population; Young adult; Social cognition; Cognition","score_opus":0.012348960252338984,"score_gpt":0.23755534849369492,"score_spread":0.22520638824135594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028574119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991696,0.00015561674,0.00011291696,0.000090368034,0.000001627177,0.0000053067733,0.00012030993,0.0000038215167,0.0003404301],"genre_scores_gemma":[0.99931955,0.00012475195,0.00025972954,0.000010578915,0.0000022158629,0.000004962675,0.000101850164,0.0000011224606,0.00017522751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999739,0.00009502391,0.00002498663,0.000054715063,0.000039985905,0.000046152723],"domain_scores_gemma":[0.9992718,0.0001370256,0.00037916118,0.00004599094,0.00003400921,0.00013211257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005358209,0.0002605824,0.00014440039,0.0008217859,0.00030883908,0.00040837523,0.00019131106,0.00025318752,0.0022614077],"category_scores_gemma":[0.0016597908,0.0001681027,0.00025862607,0.00044653536,0.0003234664,0.00020243341,0.000670294,0.000316672,0.00012236043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014105966,0.000041910243,0.99410063,0.000009722197,0.000060231672,0.00020135575,0.00009571355,0.0001924895,0.0007321702,0.00024034656,0.000060705235,0.0041236184],"study_design_scores_gemma":[0.0000073294677,0.0000676086,0.99824667,0.000015409923,0.00002884969,0.00034992106,0.00011183317,0.0006006582,0.000095347496,0.0003749688,0.000097441836,0.0000039661986],"about_ca_topic_score_codex":0.0153337745,"about_ca_topic_score_gemma":0.020968346,"teacher_disagreement_score":0.0153337745,"about_ca_system_score_codex":0.0004056252,"about_ca_system_score_gemma":0.00056358724,"threshold_uncertainty_score":0.030489028},"labels":[],"label_agreement":null},{"id":"W7028575167","doi":"","title":"Former CIA Station Chief, Brad Johnson, on the Toronto attack","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy)","score_opus":0.014298877834274885,"score_gpt":0.2490047849623918,"score_spread":0.23470590712811693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028575167","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00067245844,0.0015322908,0.0004123668,0.028437516,0.00513133,0.000067050874,0.004437957,0.0013777609,0.9579313],"genre_scores_gemma":[0.001652871,0.00052234274,0.000100217236,0.0013492437,0.00021186388,0.000010065365,0.0008659289,0.00031539038,0.9949721],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990125,0.000046627407,0.000019519486,0.00016479884,0.00043822936,0.0003182785],"domain_scores_gemma":[0.9961733,0.00013348053,0.000082586914,0.00023527404,0.0013823045,0.0019930876],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009024729,0.001181812,0.000700418,0.0014846404,0.0074020755,0.007214725,0.0011132084,0.0027106882,0.67561847],"category_scores_gemma":[0.0032600302,0.0006012932,0.00036732157,0.0016431294,0.0011623938,0.0027266378,0.003515886,0.0040480085,0.4900884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010082042,0.000003343018,0.00009163208,0.000010295226,5.4474674e-7,0.00002739274,0.000025102303,0.000007669333,0.000032091826,0.0011224353,0.99282503,0.005844392],"study_design_scores_gemma":[0.0000020154737,0.0000026739624,0.00027588825,0.00002164616,7.1527523e-7,0.000025225552,0.00009707512,0.000012930024,0.00003443156,0.00012878701,0.9993957,0.0000028701138],"about_ca_topic_score_codex":0.17046802,"about_ca_topic_score_gemma":0.37546965,"teacher_disagreement_score":0.67561847,"about_ca_system_score_codex":0.0065295016,"about_ca_system_score_gemma":0.011356466,"threshold_uncertainty_score":0.4626909},"labels":[],"label_agreement":null},{"id":"W7028634406","doi":"","title":"Game changer: encouraging cross-cultural collaboration through fun interactive, interpretive experience in the Discovery Forest, Kenora, Ontario","year":2014,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Qualitative research; Focus group; Qualitative property; Data collection; Qualitative analysis; Semi-structured interview","score_opus":0.014191365076302944,"score_gpt":0.2606064491359132,"score_spread":0.24641508405961024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028634406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9287667,0.00061816134,0.006832919,0.0027113303,0.000104588675,0.0004597559,0.00030728482,0.00025189755,0.059947323],"genre_scores_gemma":[0.9591929,0.00055485,0.010628395,0.00023585845,0.000018617438,0.00024428315,0.00015012534,0.000103932085,0.028871099],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99838495,0.0006748658,0.000035945417,0.00021090219,0.00037186587,0.00032151936],"domain_scores_gemma":[0.9980692,0.00078661815,0.00010969277,0.00014314387,0.00023119937,0.00066017616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021983616,0.00033390275,0.00027188385,0.00048388712,0.009887229,0.0031347405,0.0016067787,0.00074815593,0.0056255716],"category_scores_gemma":[0.0027477972,0.00032325214,0.0002564459,0.0006013431,0.0067886426,0.0014137944,0.0037388534,0.00084403495,0.0003900639],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045780832,0.00035059566,0.01807879,0.00040804228,0.000023956623,0.0034462141,0.87250954,0.000458862,0.0120172035,0.005817387,0.015727488,0.07070417],"study_design_scores_gemma":[0.00013703661,0.0005225903,0.04204968,0.00031564492,0.000046805457,0.0010005569,0.6402194,0.0011891996,0.004182367,0.0022054843,0.30800247,0.00012882991],"about_ca_topic_score_codex":0.53758013,"about_ca_topic_score_gemma":0.8900902,"teacher_disagreement_score":0.46241987,"about_ca_system_score_codex":0.012432926,"about_ca_system_score_gemma":0.021562636,"threshold_uncertainty_score":0.9302863},"labels":[],"label_agreement":null},{"id":"W7028641457","doi":"","title":"Feature Story: Lecture to Examine Uranium Mining in Northern Saskatchewan","year":2013,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Corporation; Officer; Vitality; Uranium mining; Public health; Uranium mine; Community health","score_opus":0.005732667464266104,"score_gpt":0.17768427479881282,"score_spread":0.17195160733454673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028641457","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011158941,0.012312706,0.0017384558,0.3630891,0.13990404,0.00021828225,0.0024000208,0.00077147264,0.46840698],"genre_scores_gemma":[0.016162714,0.0046257805,0.0005559058,0.021528723,0.003518865,0.000059187743,0.00035978988,0.0002259061,0.95296305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967146,0.00004745217,0.000007833585,0.000058668465,0.00008919864,0.00012538124],"domain_scores_gemma":[0.9990339,0.00006983977,0.000017905111,0.000019018114,0.0002582706,0.00060106086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008450147,0.00077582523,0.0003330701,0.00042938485,0.0052998913,0.0030339486,0.000989921,0.002622083,0.1292536],"category_scores_gemma":[0.0011866151,0.00027076632,0.00034770396,0.00051849,0.00091622944,0.0016391986,0.0023019002,0.004343345,0.037798967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001701433,0.000021292122,0.00025419873,0.000031616557,0.000001722125,0.00034720585,0.00039456753,0.000044839268,0.0003674058,0.00060285296,0.98940045,0.008516914],"study_design_scores_gemma":[0.0000040358827,0.000015171301,0.00081076863,0.00006819482,0.000002030407,0.00018799283,0.0027948641,0.000031741376,0.00017671885,0.00029553432,0.9956044,0.000008572138],"about_ca_topic_score_codex":0.13351907,"about_ca_topic_score_gemma":0.48684806,"teacher_disagreement_score":0.86648095,"about_ca_system_score_codex":0.0062339907,"about_ca_system_score_gemma":0.0068829334,"threshold_uncertainty_score":0.43239635},"labels":[],"label_agreement":null},{"id":"W7028641813","doi":"","title":"Fašismus ve vybraných románech Alberta Moravii","year":2014,"lang":"sk","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Fusible alloy","score_opus":0.00553064037258975,"score_gpt":0.22516259196651187,"score_spread":0.21963195159392213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028641813","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05844705,0.03914305,0.003704286,0.007518426,0.0027583037,0.00005700711,0.0020896895,0.0005437945,0.8857385],"genre_scores_gemma":[0.2609269,0.017501662,0.0053371442,0.0004671368,0.00020946,0.00004017672,0.00096670346,0.000279512,0.71427137],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997507,0.00002927693,0.000012093814,0.00005341387,0.00010236677,0.000052229065],"domain_scores_gemma":[0.999858,0.000026927957,0.000015497291,0.000016922379,0.000047878995,0.000034751854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033532263,0.0003998219,0.00041165986,0.0014151933,0.0028780662,0.0032934146,0.0004301202,0.00063221314,0.046810295],"category_scores_gemma":[0.0007557901,0.00015897435,0.0001469327,0.0014461013,0.0016469056,0.00081173866,0.001469618,0.0013681516,0.008986155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028219188,0.000051007835,0.0031603328,0.0007926001,0.000030845607,0.0016922418,0.0052262046,0.0011716775,0.0033062694,0.41519728,0.12919465,0.43989465],"study_design_scores_gemma":[0.0000073890665,0.000027975038,0.0050399103,0.00028962723,0.000010041217,0.00055001635,0.001608021,0.00013431258,0.0012888027,0.010958298,0.98007274,0.000013003102],"about_ca_topic_score_codex":0.048202172,"about_ca_topic_score_gemma":0.104155496,"teacher_disagreement_score":0.048202172,"about_ca_system_score_codex":0.0031583942,"about_ca_system_score_gemma":0.0063988375,"threshold_uncertainty_score":0.15659606},"labels":[],"label_agreement":null},{"id":"W7028689961","doi":"","title":"Geochemistry and Basin Modeling Of Devonian-Mississippian Petroleum Systems in the Anadarko Basin","year":2019,"lang":"en","type":"dissertation","venue":"OakTrust (Texas A&M University Libraries)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Saudi Aramco; Oklahoma State University","keywords":"Oil shale; Petroleum; Basement; Maceral; Paleozoic","score_opus":0.007481480964922996,"score_gpt":0.18231964876057957,"score_spread":0.17483816779565658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028689961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942153,0.00009388591,0.0015709449,0.000109804474,0.0000045155534,0.000015946598,0.000777962,0.00009640013,0.003115212],"genre_scores_gemma":[0.9974718,0.000058727648,0.0011639092,0.000013301472,0.0000018472787,0.000017017564,0.00034100175,0.000018358447,0.00091405737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999521,0.000009415639,0.000002871539,0.000017205788,0.000005734368,0.000012713349],"domain_scores_gemma":[0.9999069,0.000028833503,0.0000125361685,0.000007138174,0.000025595133,0.00001903662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013789517,0.0003203786,0.00028105915,0.0007005679,0.00059052155,0.0010138926,0.00055446586,0.0008287976,0.0020492577],"category_scores_gemma":[0.0003858877,0.00036848776,0.00045166098,0.00068677985,0.00033771805,0.00029712333,0.0005051348,0.00026402556,0.0001832037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007020334,0.00005947657,0.058298793,0.000037191916,0.00006073334,0.00017579053,0.00013537638,0.93107814,0.0033952734,0.0012616793,0.00036784535,0.0050594904],"study_design_scores_gemma":[0.000011513373,0.000007963558,0.013936637,0.000005942525,0.0000110792635,0.000016616517,0.00012285252,0.9847973,0.00034872693,0.00023288226,0.0005003856,0.000008029417],"about_ca_topic_score_codex":0.19776072,"about_ca_topic_score_gemma":0.17195632,"teacher_disagreement_score":0.19776072,"about_ca_system_score_codex":0.0019994094,"about_ca_system_score_gemma":0.0014949974,"threshold_uncertainty_score":0.39321923},"labels":[],"label_agreement":null},{"id":"W7028700769","doi":"","title":"Francis A. Barnum, S.J., in native Alaskan dress, surrounded by Georgetown students in front of Healy Hall","year":2011,"lang":"en","type":"other","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; TSG101; Gestational period; Hyporeflexia; Diafiltration; Pretext; Demotion; Liquation","score_opus":0.00510123223521294,"score_gpt":0.1812327903529027,"score_spread":0.17613155811768977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028700769","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007731859,0.08474372,0.0023097997,0.12264469,0.03975195,0.00008690204,0.0006367758,0.0008275885,0.7412668],"genre_scores_gemma":[0.0074051684,0.015647331,0.0005416582,0.0042895097,0.0008910022,0.000016593742,0.00008213453,0.000103868966,0.9710227],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998466,0.000018465636,0.000009221084,0.000043906835,0.00005622988,0.000025572604],"domain_scores_gemma":[0.99971277,0.000034614735,0.000015855869,0.000007734891,0.00009299055,0.0001360347],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003336622,0.00056516496,0.0002458861,0.0008124278,0.005038494,0.0027388688,0.00038567238,0.0010756816,0.11543401],"category_scores_gemma":[0.00076838955,0.00028547575,0.00014073795,0.0006111364,0.0010462627,0.0018841146,0.0011768478,0.0017661933,0.039561637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009919996,0.000018643645,0.0005684381,0.000051118463,0.0000011285916,0.00019773297,0.00074757985,0.000031936535,0.0002373031,0.0029684112,0.9508293,0.044338547],"study_design_scores_gemma":[4.9313263e-7,0.000006015571,0.0005863116,0.00008647718,9.84544e-7,0.00013170386,0.0011193152,0.000016028356,0.000102376005,0.0002463508,0.9977005,0.0000034395832],"about_ca_topic_score_codex":0.06872685,"about_ca_topic_score_gemma":0.22842883,"teacher_disagreement_score":0.884566,"about_ca_system_score_codex":0.0016312444,"about_ca_system_score_gemma":0.002458034,"threshold_uncertainty_score":0.38616526},"labels":[],"label_agreement":null},{"id":"W7028703752","doi":"","title":"Gramatikalizace adjektiva \"like\": procesy a jejich hranice","year":2017,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Grammaticalization; Point (geometry); Adjective; Parsing; Sample (material); Head (geology); Corpus linguistics; American English","score_opus":0.007197736539337656,"score_gpt":0.2464945543411539,"score_spread":0.23929681780181622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028703752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8721676,0.0013753236,0.0036127775,0.0006694318,0.00026151387,0.00005054548,0.00090890675,0.00013654676,0.12081742],"genre_scores_gemma":[0.98913175,0.00039914917,0.0010636062,0.00005174537,0.000029387533,0.000009871125,0.00048042095,0.000077078024,0.008756925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964786,0.00009487147,0.000029021132,0.00007085124,0.000087612076,0.00006971933],"domain_scores_gemma":[0.9995189,0.00019631704,0.00006739458,0.00006445406,0.00011858173,0.00003438009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004895497,0.00025678184,0.0003672983,0.00096600753,0.0013016138,0.0017554974,0.00015490185,0.00020254693,0.0061693336],"category_scores_gemma":[0.0010331849,0.00013859634,0.00013459599,0.0012392801,0.0017612895,0.0016080805,0.0011229459,0.0010565952,0.000624868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013798217,0.00023513823,0.059748,0.0021331836,0.0001742297,0.006320164,0.16024737,0.0009838663,0.04260683,0.45100543,0.024940355,0.25022563],"study_design_scores_gemma":[0.000050698272,0.00020061444,0.2786984,0.0005497729,0.00015172562,0.003885663,0.102665395,0.0011409157,0.01758595,0.020219734,0.5747246,0.00012649469],"about_ca_topic_score_codex":0.0032715688,"about_ca_topic_score_gemma":0.0059014824,"teacher_disagreement_score":0.0061693336,"about_ca_system_score_codex":0.00082949555,"about_ca_system_score_gemma":0.00048209596,"threshold_uncertainty_score":0.020638406},"labels":[],"label_agreement":null},{"id":"W7028709174","doi":"","title":"The Green Zone - Hour 4 - Olympic Snowboarder Mark McMorris","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Globe","score_opus":0.005330364100431013,"score_gpt":0.18175670799467103,"score_spread":0.17642634389424003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028709174","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021241235,0.0022960012,0.0010332374,0.015252854,0.032087732,0.00023713455,0.002533462,0.0022077353,0.9422277],"genre_scores_gemma":[0.0019828405,0.00041055703,0.00025083253,0.0008630193,0.00050693395,0.000026891894,0.00039591847,0.00025460403,0.99530834],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996736,0.000030373509,0.0000060107004,0.00006681258,0.00012449564,0.00009870277],"domain_scores_gemma":[0.99921525,0.000022593731,0.000015970982,0.000029565035,0.0002616497,0.00045487657],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005244394,0.0011662407,0.00048392103,0.0008645819,0.0036603196,0.0031640518,0.00072497287,0.0010088615,0.5610313],"category_scores_gemma":[0.00095956586,0.0004206614,0.00038400752,0.00063972926,0.000459323,0.0013124645,0.0025800734,0.0020064446,0.3220534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013961663,0.0000072933926,0.00004998667,0.000011522235,7.3154297e-7,0.000017019585,0.000025096817,0.000008126124,0.00008163778,0.0002166265,0.99492526,0.004642704],"study_design_scores_gemma":[0.000002365305,0.0000068390304,0.00037860186,0.000029494991,7.5535183e-7,0.000011489443,0.00015983313,0.000013947522,0.000053004274,0.00006073928,0.9992799,0.0000030144683],"about_ca_topic_score_codex":0.04506058,"about_ca_topic_score_gemma":0.22033638,"teacher_disagreement_score":0.5610313,"about_ca_system_score_codex":0.0017696013,"about_ca_system_score_gemma":0.0019008939,"threshold_uncertainty_score":0.6261356},"labels":[],"label_agreement":null},{"id":"W7028753393","doi":"","title":"Fratrie adulte non autiste de personnes autistes : expériences et défis","year":2021,"lang":"fr","type":"other","venue":"Open MIND","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social assistance; Social environment; Social impact","score_opus":0.03025227603156724,"score_gpt":0.3053008775466537,"score_spread":0.2750486015150865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028753393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97964364,0.0014898874,0.00025336238,0.0015725299,0.000085996035,0.000036929086,0.000051981555,0.000012251821,0.016853496],"genre_scores_gemma":[0.9858079,0.0012341066,0.0002356275,0.0005360789,0.000016795506,0.0000428285,0.000035408855,0.000009065655,0.0120821595],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99841166,0.00049653585,0.00005505093,0.00018731215,0.00033831724,0.00051094365],"domain_scores_gemma":[0.9984855,0.00038780924,0.0002323785,0.000056372737,0.00031154839,0.00052644266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016624865,0.00045731766,0.00068551226,0.00093643,0.010516783,0.002969417,0.0007558017,0.0012309074,0.005529884],"category_scores_gemma":[0.0022980792,0.00036526966,0.00038590815,0.00074822153,0.00648633,0.0013910354,0.003649926,0.0021695658,0.0006675101],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030568568,0.000039213293,0.014898294,0.000092967624,0.000010134491,0.0021772212,0.9736126,0.000020682131,0.0008387162,0.0013774919,0.0012836641,0.0056185024],"study_design_scores_gemma":[0.0000040526,0.00006661976,0.036324106,0.00014867976,0.000009050264,0.0014714596,0.9437189,0.000025427378,0.00014994637,0.00023378053,0.017818494,0.000029570683],"about_ca_topic_score_codex":0.24838156,"about_ca_topic_score_gemma":0.39614686,"teacher_disagreement_score":0.24838156,"about_ca_system_score_codex":0.005760948,"about_ca_system_score_gemma":0.0048633725,"threshold_uncertainty_score":0.49387163},"labels":[],"label_agreement":null},{"id":"W7028756578","doi":"","title":"Il borgo murato di Monterone, studi per la riqualificazione urbana ed ambientale","year":2018,"lang":"it","type":"article","venue":"Florence Research (University of Florence)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frontier; Situated; Urban planning; Quarter (Canadian coin)","score_opus":0.045161512229870596,"score_gpt":0.3013906817912757,"score_spread":0.2562291695614051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028756578","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36515522,0.028705781,0.004535856,0.009932575,0.0010302468,0.00020460377,0.0025671276,0.00023537692,0.5876332],"genre_scores_gemma":[0.78956556,0.0070202206,0.0034193469,0.0008408821,0.0005906433,0.00013561948,0.0009832027,0.0000986,0.19734599],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959356,0.00006115393,0.00001044195,0.00011818054,0.00012794667,0.000088682966],"domain_scores_gemma":[0.9995945,0.00014374267,0.000074022944,0.00005696353,0.000053887463,0.000076932716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040013492,0.00033911908,0.000318904,0.0010239327,0.0016700489,0.0033417062,0.0003964907,0.00074191723,0.01736659],"category_scores_gemma":[0.0010158743,0.00019350741,0.00028637476,0.0017753494,0.0012924197,0.0013282482,0.0019555814,0.000620338,0.001084201],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035734125,0.00013024716,0.23280571,0.0016335751,0.00011816251,0.0014705738,0.037669763,0.0010184016,0.0068223784,0.2676029,0.10955106,0.34081995],"study_design_scores_gemma":[0.000008504781,0.00006435625,0.21463418,0.00024729373,0.000022500026,0.00029564096,0.0044293646,0.0002080709,0.0004431355,0.003240444,0.77638173,0.000024808991],"about_ca_topic_score_codex":0.05122671,"about_ca_topic_score_gemma":0.20244347,"teacher_disagreement_score":0.05122671,"about_ca_system_score_codex":0.0025487344,"about_ca_system_score_gemma":0.0020224852,"threshold_uncertainty_score":0.101857066},"labels":[],"label_agreement":null},{"id":"W7028763433","doi":"","title":"Geophysical and thermal investigations of ice-rich permafrost at Parsons Lake, Northwest Territories","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Parks Canada; ConocoPhillips; Aurora Research Institute; McGill University","keywords":"Permafrost; Borehole; Ground-penetrating radar; Drilling; Inversion (geology); Disturbance (geology); Smoothing; Thermal","score_opus":0.012092787922110184,"score_gpt":0.22071831649029305,"score_spread":0.20862552856818287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028763433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974105,0.000024584378,0.000076433345,0.00004307206,0.0000011677121,0.00001162996,0.00020791958,0.0000104873325,0.0022141319],"genre_scores_gemma":[0.9975339,0.000054482036,0.00058699417,0.000018660563,0.0000028060663,0.000012104435,0.00029223034,0.0000032111757,0.0014954469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998357,0.000013380764,0.0000057031175,0.000027295064,0.00008754585,0.000030235655],"domain_scores_gemma":[0.9997843,0.00003716298,0.000050200626,0.0000130757235,0.00007400848,0.000041350977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015380066,0.0001480841,0.00012353962,0.00065225776,0.0010430943,0.00051669125,0.0003000314,0.00019685965,0.0010559623],"category_scores_gemma":[0.00025700204,0.00016187053,0.000086380955,0.0009674121,0.00041594458,0.00031041628,0.00025833552,0.00022615625,0.00013389488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047270453,0.00019626027,0.8733618,0.00013516651,0.00012246391,0.0046425755,0.00681603,0.007217541,0.05912659,0.00052826037,0.0030253695,0.044355124],"study_design_scores_gemma":[0.000008770525,0.000044752265,0.99009085,0.000010920008,0.000012793304,0.0001874849,0.0027350814,0.0033140124,0.0023077757,0.000028812921,0.0012472344,0.000011592947],"about_ca_topic_score_codex":0.39118072,"about_ca_topic_score_gemma":0.8313196,"teacher_disagreement_score":0.60881925,"about_ca_system_score_codex":0.0016231887,"about_ca_system_score_gemma":0.0020861877,"threshold_uncertainty_score":0.7778076},"labels":[],"label_agreement":null},{"id":"W7028766541","doi":"","title":"HUBUNGAN GAYA BELAJAR DAN KEAKTIFAN BELAJAR DENGAN&#13;\\nHASIL BELAJAR TEMATIK PESERTA DIDIK KELAS III &#13;\\nSD NEGERI TAHUN AJARAN 2022/2023&#13;\\n","year":2023,"lang":"id","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Population; Data presentation; Statistical analysis; Data collection","score_opus":0.008099878211728051,"score_gpt":0.19500144424110769,"score_spread":0.18690156602937963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028766541","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30591258,0.0048966743,0.027374906,0.055809204,0.0028907743,0.0008259172,0.024636412,0.00070752384,0.57694596],"genre_scores_gemma":[0.6657855,0.0039917077,0.01799389,0.0065975897,0.0004410625,0.00090993,0.0091546895,0.00033918463,0.29478654],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99718505,0.000750191,0.00018298441,0.00047820114,0.0010312097,0.00037230764],"domain_scores_gemma":[0.99300146,0.0027047305,0.00069313904,0.00083264377,0.0021673355,0.0006007968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005422989,0.00035764067,0.0006005607,0.0012177379,0.002202393,0.0049709477,0.0009837778,0.00081385265,0.05630872],"category_scores_gemma":[0.010990425,0.0003695026,0.0007850111,0.002074701,0.0013295056,0.0018723238,0.0028620728,0.0020842678,0.008690762],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011403497,0.00059443415,0.2678309,0.0016047986,0.0003820301,0.0005915201,0.012965769,0.0021075176,0.006188138,0.12714186,0.15378939,0.4256633],"study_design_scores_gemma":[0.00007106921,0.00036098398,0.38702908,0.000824715,0.00019075819,0.00022175808,0.020663,0.0018187005,0.006350586,0.019974917,0.56237334,0.00012102004],"about_ca_topic_score_codex":0.056176152,"about_ca_topic_score_gemma":0.104353875,"teacher_disagreement_score":0.05630872,"about_ca_system_score_codex":0.004766205,"about_ca_system_score_gemma":0.0080956295,"threshold_uncertainty_score":0.18837142},"labels":[],"label_agreement":null},{"id":"W7028772927","doi":"","title":"HIST 5702 X Crompton Wilkinson Un Essay","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frith; Subject (documents); Focus (optics)","score_opus":0.003571657619907116,"score_gpt":0.1692464053132419,"score_spread":0.1656747476933348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028772927","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006450743,0.0100246975,0.00072343415,0.02625677,0.030326093,0.00005328155,0.00036609313,0.0003694288,0.931235],"genre_scores_gemma":[0.0015055396,0.0011401345,0.00009387905,0.0010840899,0.0007998729,0.000010552986,0.000045893663,0.00009880573,0.9952212],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994535,0.000077219906,0.000013437607,0.00011450486,0.00028104748,0.000060319227],"domain_scores_gemma":[0.9991099,0.00016502976,0.000032108597,0.00007833529,0.00038533754,0.00022929338],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006003255,0.0005645749,0.0002821392,0.0012898995,0.0033521403,0.005290528,0.000513387,0.0011514846,0.3390955],"category_scores_gemma":[0.0025186962,0.00026168834,0.00020493145,0.0009797945,0.0009267896,0.0024224354,0.0020065305,0.0018858147,0.12461587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004569335,0.000005029424,0.000030057177,0.000013916142,3.9698784e-7,0.000016516753,0.00006448064,0.000011446124,0.00004330562,0.0032534618,0.982624,0.013932883],"study_design_scores_gemma":[3.4741606e-7,0.0000012837311,0.000041225605,0.000024433612,1.6829769e-7,0.000013229466,0.00008826616,0.0000057324605,0.000020868425,0.00018609513,0.9996176,7.9439127e-7],"about_ca_topic_score_codex":0.0102276355,"about_ca_topic_score_gemma":0.026806796,"teacher_disagreement_score":0.6609045,"about_ca_system_score_codex":0.0032006113,"about_ca_system_score_gemma":0.0017239592,"threshold_uncertainty_score":0.9427},"labels":[],"label_agreement":null},{"id":"W7028815750","doi":"","title":"Habitat use, migration and wintering of Sandhill Cranes in the middle Grand River basin, southwestern Ontario","year":2024,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sandhill; Habitat; Overwintering; Population","score_opus":0.023580188113318204,"score_gpt":0.1756542372149355,"score_spread":0.15207404910161731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028815750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984401,0.00007328326,0.000015215151,0.000031227082,0.0000012931224,0.000005031349,0.0005547729,0.000002209892,0.0008768074],"genre_scores_gemma":[0.9971762,0.00012966355,0.000083940366,0.00001534453,0.0000011712985,0.0000069974026,0.00049764785,0.0000021749293,0.0020868543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998759,0.000012333465,0.000010026979,0.000023606777,0.000026006617,0.00005213796],"domain_scores_gemma":[0.9996816,0.00003379897,0.00007691373,0.000011485075,0.00008978999,0.00010655505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010902564,0.00014154572,0.00018189615,0.000729843,0.00177281,0.00079234765,0.00052566023,0.00021414568,0.0020668043],"category_scores_gemma":[0.0005572174,0.00022147171,0.00023601651,0.0014916025,0.00059521757,0.00030720254,0.0004732312,0.00017795492,0.000270367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007549132,0.000021431248,0.9895969,0.000033854758,0.00003494012,0.00019587197,0.00502743,0.00015609335,0.00075229676,0.00009794574,0.0005849765,0.0034227644],"study_design_scores_gemma":[0.0000019663885,0.000007236054,0.9955799,0.000008092844,0.0000052859687,0.00003698189,0.0036812501,0.00007136289,0.000029276773,0.000008555347,0.0005675542,0.0000025201439],"about_ca_topic_score_codex":0.97669256,"about_ca_topic_score_gemma":0.99707663,"teacher_disagreement_score":0.023307443,"about_ca_system_score_codex":0.005891421,"about_ca_system_score_gemma":0.0051202616,"threshold_uncertainty_score":0.046889365},"labels":[],"label_agreement":null},{"id":"W7028839929","doi":"","title":"Growth In Residential Segment Keeping Lights On For Ontario's PV Manufacturers","year":2011,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Quality (philosophy); Clothing; Work (physics)","score_opus":0.01396429711143414,"score_gpt":0.2204510057668423,"score_spread":0.20648670865540814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028839929","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7673164,0.0010064889,0.001435906,0.008449298,0.00014961642,0.00010226372,0.020525401,0.00050762354,0.20050693],"genre_scores_gemma":[0.7857996,0.001739316,0.0023110318,0.0006966177,0.000054829405,0.000035870384,0.010234463,0.00019199017,0.19893631],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993292,0.000027738246,0.00001541449,0.00006754503,0.00034685692,0.00021326258],"domain_scores_gemma":[0.997414,0.00017419991,0.00028441488,0.00007804593,0.0015757001,0.00047360166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034340099,0.0002413439,0.00013458355,0.0011359276,0.002351995,0.0023234575,0.0008311091,0.0007374901,0.028073007],"category_scores_gemma":[0.0019179262,0.00026008597,0.00051235047,0.0038098928,0.00064635393,0.0011809269,0.0009865406,0.0008559544,0.0032704168],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003357646,0.0001599163,0.61065036,0.00031137918,0.00003656367,0.0012320607,0.006706761,0.0015570995,0.006904304,0.009178055,0.17165706,0.19127065],"study_design_scores_gemma":[0.000008157292,0.00003798886,0.88710606,0.00006295066,0.000018987808,0.00025972907,0.010529596,0.0014469638,0.0008334554,0.00026132315,0.09941546,0.00001935858],"about_ca_topic_score_codex":0.9530402,"about_ca_topic_score_gemma":0.9863259,"teacher_disagreement_score":0.046959817,"about_ca_system_score_codex":0.020454487,"about_ca_system_score_gemma":0.026049891,"threshold_uncertainty_score":0.14840841},"labels":[],"label_agreement":null},{"id":"W7028866635","doi":"","title":"High Performance Computing Systems and Applications 23rd international symposium, HPCS 2009, Kingston, Ontario, Canada, June 14-17, 2009 ; revised selected papers","year":2010,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supercomputer; Computer Applications; Key (lock)","score_opus":0.003549279949194818,"score_gpt":0.1854736798480373,"score_spread":0.1819243998988425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028866635","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032543484,0.070949055,0.083964586,0.05373394,0.07794028,0.0014442757,0.045692403,0.014172995,0.61955905],"genre_scores_gemma":[0.01645157,0.014502019,0.011940502,0.0006498253,0.0011523792,0.00005132931,0.0066262465,0.0012849363,0.9473412],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917763,0.000033238466,0.00003416463,0.00007895939,0.00053564116,0.00014027643],"domain_scores_gemma":[0.99440837,0.00018171167,0.000049882146,0.00023199224,0.0045777904,0.0005502674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014617027,0.0010570427,0.0012590644,0.001827534,0.0027990723,0.0041584983,0.0014136463,0.0009056424,0.13318096],"category_scores_gemma":[0.003015844,0.00069046946,0.00042247228,0.0023083251,0.001082788,0.0011917015,0.001249616,0.0019074924,0.047559828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112061985,0.00003161405,0.0006835356,0.00013330947,0.000015166576,0.00007139115,0.00008811445,0.00036686004,0.0018879351,0.0013331304,0.943681,0.051595964],"study_design_scores_gemma":[0.000029267398,0.000037136346,0.004414399,0.000108928405,0.000025678324,0.00010113621,0.00019548653,0.0019268997,0.004968549,0.0011356836,0.9870244,0.000032505177],"about_ca_topic_score_codex":0.40189183,"about_ca_topic_score_gemma":0.7814637,"teacher_disagreement_score":0.5981082,"about_ca_system_score_codex":0.008249624,"about_ca_system_score_gemma":0.015306504,"threshold_uncertainty_score":0.7991051},"labels":[],"label_agreement":null},{"id":"W7028879112","doi":"","title":"The implications of food insecurity for nutritional adequacy","year":2025,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Food insecurity; Micronutrient; Food consumption; Consumption (sociology); Food security; Food quality; Food processing; Quality (philosophy)","score_opus":0.01419633864952722,"score_gpt":0.2625800780710157,"score_spread":0.24838373942148848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028879112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9557279,0.001698118,0.001320667,0.0031294907,0.000024222123,0.000047131183,0.0016849868,0.000021822469,0.036345657],"genre_scores_gemma":[0.9982419,0.0004492664,0.00024184315,0.000054994605,0.000005846917,0.0000043881855,0.00012814009,0.000003212223,0.0008705163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996933,0.00009381553,0.000019076346,0.000034602646,0.00008215357,0.000077154575],"domain_scores_gemma":[0.9986657,0.0003850125,0.0002633754,0.000107278276,0.00029409264,0.00028464315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008264627,0.00017594242,0.00016290347,0.00086772547,0.00082175573,0.0014146719,0.00039395434,0.0002306384,0.0067833653],"category_scores_gemma":[0.005656662,0.00013602791,0.00034851005,0.001102911,0.001164138,0.000542598,0.00095212326,0.00047989222,0.0002601356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018698016,0.00005098754,0.95010144,0.000046853766,0.00005649557,0.00025070345,0.0007350255,0.0010640806,0.00032342513,0.0030362182,0.0010969465,0.043050896],"study_design_scores_gemma":[0.000004427533,0.000023427347,0.99138016,0.000057272362,0.000022291535,0.00020741655,0.0011869514,0.0012598648,0.00014204804,0.0035117236,0.0021977136,0.0000068031914],"about_ca_topic_score_codex":0.36270005,"about_ca_topic_score_gemma":0.39842868,"teacher_disagreement_score":0.36270005,"about_ca_system_score_codex":0.002537961,"about_ca_system_score_gemma":0.0022557194,"threshold_uncertainty_score":0.7211778},"labels":[],"label_agreement":null},{"id":"W7028926394","doi":"","title":"Het “menschenpakhuis van de Sphinx”?: Het Boschstraatkwartier-Oost te Maastricht in 1904-1905","year":2005,"lang":"nl","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Quarter (Canadian coin); European commission","score_opus":0.013040974802561408,"score_gpt":0.24468253732134568,"score_spread":0.23164156251878426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028926394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48843333,0.056620613,0.0028351934,0.057220694,0.0015654619,0.00008729538,0.0021004158,0.0000898403,0.39104712],"genre_scores_gemma":[0.8141627,0.011682829,0.000690948,0.0015812308,0.00024413128,0.000044752105,0.0003839757,0.00012993664,0.17107959],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99904245,0.00026471846,0.000040328247,0.0001889863,0.00017994958,0.00028349],"domain_scores_gemma":[0.9995946,0.0001366333,0.00006911342,0.000023902068,0.000057498088,0.00011820298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010325611,0.000301357,0.00037154675,0.0011443817,0.006967252,0.003292832,0.0004927499,0.0012073296,0.017244313],"category_scores_gemma":[0.0026947008,0.00042857107,0.0001684798,0.0018534069,0.007934255,0.0046341745,0.0043545025,0.0027168232,0.0021356135],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002331788,0.000067539804,0.011624695,0.00027330735,0.000024801475,0.0014652184,0.50588745,0.00022089163,0.0008176366,0.28889832,0.05940849,0.13107857],"study_design_scores_gemma":[0.000007033022,0.000026667687,0.023391273,0.00024073335,0.000005190486,0.00025483215,0.038045768,0.000039630435,0.00029491918,0.00877074,0.92890155,0.000021585896],"about_ca_topic_score_codex":0.19784954,"about_ca_topic_score_gemma":0.3787926,"teacher_disagreement_score":0.19784954,"about_ca_system_score_codex":0.0069933464,"about_ca_system_score_gemma":0.004544634,"threshold_uncertainty_score":0.39339584},"labels":[],"label_agreement":null},{"id":"W7028934020","doi":"","title":"High power costs spur 42 MWh of storage deals in Ontario","year":2018,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spur; Power (physics); Production (economics); Work (physics)","score_opus":0.0072793542693168475,"score_gpt":0.21236744066770558,"score_spread":0.20508808639838874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028934020","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16289721,0.00091216044,0.0077202236,0.016000612,0.001149232,0.00045568633,0.015638798,0.0025655187,0.7926606],"genre_scores_gemma":[0.118515104,0.00045199928,0.0023658585,0.00040428023,0.000066829925,0.00005648033,0.0026812872,0.0003215017,0.87513673],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994393,0.00002269155,0.00001454463,0.00006650998,0.00027950492,0.00017744962],"domain_scores_gemma":[0.9989673,0.00006689169,0.000044543962,0.00010268964,0.0005484472,0.00027017007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003578294,0.00046313702,0.00027558347,0.000933956,0.00478257,0.0022817291,0.00086333224,0.0011465898,0.20949721],"category_scores_gemma":[0.001013084,0.00042057384,0.0005908109,0.0020518769,0.0013133697,0.001373055,0.0017688399,0.00085244724,0.030733364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094885373,0.00023215592,0.02262062,0.00037444205,0.000059835438,0.0017134529,0.0014152394,0.002663833,0.021348132,0.038568035,0.6491423,0.26091304],"study_design_scores_gemma":[0.000066938184,0.00006812757,0.02615823,0.000051694846,0.000018172766,0.00023597071,0.0016067133,0.0018941417,0.0037455126,0.002352119,0.9637694,0.000032914413],"about_ca_topic_score_codex":0.81277764,"about_ca_topic_score_gemma":0.8911395,"teacher_disagreement_score":0.20949721,"about_ca_system_score_codex":0.01475008,"about_ca_system_score_gemma":0.029947182,"threshold_uncertainty_score":0.70083797},"labels":[],"label_agreement":null},{"id":"W7028942692","doi":"","title":"Hollandse zuinigheid","year":2006,"lang":"nl","type":"article","venue":"Utrecht University Repository (Utrecht University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Research method; First world war","score_opus":0.004330305343884873,"score_gpt":0.14518518460601673,"score_spread":0.14085487926213186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028942692","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010596705,0.008441363,0.00088730577,0.023136368,0.005402266,0.00007310645,0.003675494,0.00045093946,0.9473365],"genre_scores_gemma":[0.0068598674,0.001206126,0.0002291073,0.00078935997,0.00009463014,0.000014877299,0.00059887086,0.00012634252,0.9900808],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939644,0.00005020547,0.000020304662,0.00011619166,0.00024258604,0.00017435366],"domain_scores_gemma":[0.9996631,0.000034913846,0.00002008928,0.000033590986,0.00012193732,0.00012638984],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031480542,0.00050599646,0.0005272675,0.00072935526,0.0036753835,0.003768991,0.00050110003,0.001741045,0.351313],"category_scores_gemma":[0.00096930994,0.0003609379,0.00028808933,0.0011389756,0.00077438715,0.0015231268,0.0022707183,0.0020008704,0.10505012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013337783,0.00006649443,0.0014742083,0.00020957702,0.000013512977,0.00077009614,0.0016081039,0.00010842197,0.0022671432,0.037950076,0.8732132,0.08218582],"study_design_scores_gemma":[0.0000019287436,0.000003095149,0.0006228933,0.000020705183,8.8901044e-7,0.000036029982,0.00024054431,0.000011049831,0.000084573665,0.00023812991,0.99873835,0.0000019116583],"about_ca_topic_score_codex":0.073081195,"about_ca_topic_score_gemma":0.16908804,"teacher_disagreement_score":0.351313,"about_ca_system_score_codex":0.0029995835,"about_ca_system_score_gemma":0.0036342805,"threshold_uncertainty_score":0.9252733},"labels":[],"label_agreement":null},{"id":"W7028967035","doi":"","title":"Harm reduction interventions for young people with first-episode psychosis who continue to use cannabis","year":2024,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Université de Montréal","keywords":"Cannabis; Psychological intervention; Harm reduction; Intervention (counseling); Effects of cannabis; Population","score_opus":0.008182195456241303,"score_gpt":0.21019443393152748,"score_spread":0.20201223847528618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028967035","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026357852,0.95675325,0.0005258866,0.0044149766,0.0006034952,0.00065921084,0.00049289624,0.00003572896,0.010156674],"genre_scores_gemma":[0.12920488,0.86116976,0.0023308005,0.0029072266,0.00021497595,0.0010982415,0.0003621376,0.000011584684,0.0027003433],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988174,0.00068792835,0.00013927149,0.000060274626,0.00020171948,0.00009338294],"domain_scores_gemma":[0.99764544,0.0016802928,0.00038792889,0.00003210575,0.00017396387,0.00008020281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016589304,0.00029535024,0.0008122714,0.00095400144,0.00039154166,0.0010731647,0.0006451095,0.0011286061,0.009688417],"category_scores_gemma":[0.008904222,0.00018947932,0.0019817972,0.00058255484,0.00032103626,0.00082339597,0.00087021984,0.0014682945,0.0004131865],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013072966,0.0003671162,0.0023622413,0.2138904,0.0020311018,0.00020844566,0.0024376393,0.00036143285,0.00049680175,0.0035583158,0.011007544,0.7619717],"study_design_scores_gemma":[0.0028351774,0.0019338247,0.025101552,0.66579837,0.010124405,0.0010437676,0.004213054,0.00049111806,0.0011713826,0.0055930163,0.28162807,0.000066264554],"about_ca_topic_score_codex":0.005765497,"about_ca_topic_score_gemma":0.017019706,"teacher_disagreement_score":0.009688417,"about_ca_system_score_codex":0.0011549047,"about_ca_system_score_gemma":0.003638859,"threshold_uncertainty_score":0.03241098},"labels":[],"label_agreement":null},{"id":"W7029020095","doi":"","title":"Hypocrisy, Thy Name Is Canada. Trans Mountain Pipeline Profits To Fund Green Energy Projects","year":2019,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Renewable energy; Pipeline transport; Energy (signal processing); Production (economics)","score_opus":0.0146735304465337,"score_gpt":0.22590355300504414,"score_spread":0.21123002255851045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029020095","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010811767,0.0013932532,0.0011324686,0.009378496,0.002140101,0.00005045307,0.0028627776,0.0012924678,0.98066896],"genre_scores_gemma":[0.0028442794,0.0005045666,0.00029737843,0.00052731216,0.000044316716,0.000005686633,0.0005813327,0.0003313231,0.9948638],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988594,0.000028734159,0.000014865985,0.000148255,0.00073924434,0.00020957294],"domain_scores_gemma":[0.9965683,0.00011003811,0.0000623897,0.00013747487,0.001922122,0.0011996804],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060206343,0.00080248417,0.00051134196,0.0014700126,0.005413166,0.0073906938,0.00095429516,0.0021850679,0.576907],"category_scores_gemma":[0.0020118523,0.0004590387,0.00036883622,0.0019165494,0.0018019163,0.0021473262,0.0024892609,0.002772435,0.27862805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003895417,0.000029706873,0.000525853,0.000064745334,0.0000038552203,0.00010305516,0.00009749616,0.000052358115,0.0006304898,0.011335539,0.9257394,0.06137865],"study_design_scores_gemma":[0.000003888615,0.000004798883,0.0004303351,0.00004090371,0.0000016019717,0.00005672043,0.00015113235,0.00008912797,0.0002196479,0.00051468716,0.9984812,0.0000060422335],"about_ca_topic_score_codex":0.55579805,"about_ca_topic_score_gemma":0.80347663,"teacher_disagreement_score":0.576907,"about_ca_system_score_codex":0.01005215,"about_ca_system_score_gemma":0.026873222,"threshold_uncertainty_score":0.89363587},"labels":[],"label_agreement":null},{"id":"W7029133103","doi":"","title":"The influence of environmental contaminants on time to pregnancy","year":2015,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Health Canada; U.S. Department of Health and Human Services; National Institutes of Health; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; McGill University Health Centre; McGill University","keywords":"First trimester; Pregnancy; Third trimester; MERCURY EXPOSURE","score_opus":0.004423179614877292,"score_gpt":0.15665273588943857,"score_spread":0.15222955627456128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029133103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98477155,0.005287434,0.00077686785,0.000629041,0.00011083841,0.000042882897,0.0011789823,0.00001152454,0.007190838],"genre_scores_gemma":[0.9903696,0.0034418013,0.00073255267,0.0001347208,0.000031325868,0.000050554234,0.0004448399,0.00001113438,0.0047834944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874604,0.0004232464,0.00008812724,0.00022830907,0.00037094657,0.00014334165],"domain_scores_gemma":[0.9934476,0.0036097446,0.0015463921,0.00023298209,0.00071470696,0.00044849172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014696304,0.00028071154,0.00025278734,0.0005119835,0.00038585722,0.0010747372,0.000413634,0.00043366392,0.004809593],"category_scores_gemma":[0.007843597,0.00019439842,0.00065010454,0.0006820724,0.00032375238,0.00042471188,0.0006806166,0.00057514186,0.00036785632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063211366,0.000108682514,0.95974773,0.00020283395,0.00028200776,0.00021762172,0.0012897042,0.00025044978,0.0016816847,0.00031443653,0.0004273996,0.034845285],"study_design_scores_gemma":[0.000003181505,0.0003971659,0.99522144,0.000090730595,0.000095914715,0.00019396437,0.00060335017,0.00016093496,0.00044154673,0.00009893286,0.0026817278,0.000011055282],"about_ca_topic_score_codex":0.021117045,"about_ca_topic_score_gemma":0.026193602,"teacher_disagreement_score":0.021117045,"about_ca_system_score_codex":0.00071054476,"about_ca_system_score_gemma":0.0013592008,"threshold_uncertainty_score":0.041988254},"labels":[],"label_agreement":null},{"id":"W7029134371","doi":"","title":"IDACORP, Inc. Announces Third Quarter 2021 Results, Tightens 2021 Earnings Guidance Upward","year":2021,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Work (physics); Population","score_opus":0.00923543106893753,"score_gpt":0.2316226797475244,"score_spread":0.22238724867858686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029134371","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023517802,0.0007478469,0.0010967208,0.03356755,0.0058227214,0.00010338352,0.0047589545,0.0022456641,0.94930536],"genre_scores_gemma":[0.0046365084,0.00033556594,0.0004594604,0.0057535674,0.0004028132,0.000030307518,0.0021364153,0.00039690867,0.9858484],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99720985,0.00010178287,0.00005470264,0.00017776607,0.001982947,0.0004729081],"domain_scores_gemma":[0.9953466,0.00041426282,0.00014520678,0.00024527436,0.0028532539,0.0009953772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022542106,0.00077496114,0.0005413092,0.0016741491,0.0037987463,0.009236673,0.0011245046,0.0050008204,0.28019196],"category_scores_gemma":[0.007507678,0.00045772982,0.0005447475,0.0011922665,0.0007012923,0.0018529191,0.00212914,0.005210443,0.21933864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003415584,0.00003073614,0.00021813414,0.000010015537,0.0000012579554,0.000030336767,0.000011991349,0.000025605146,0.00012682534,0.0031884727,0.9860342,0.010288232],"study_design_scores_gemma":[0.000012769822,0.000017604214,0.0009196833,0.000020165746,0.0000029573239,0.000026066291,0.0000637534,0.00019319472,0.00029905324,0.0006670419,0.99776924,0.000008573948],"about_ca_topic_score_codex":0.050266366,"about_ca_topic_score_gemma":0.101376325,"teacher_disagreement_score":0.28019196,"about_ca_system_score_codex":0.003364967,"about_ca_system_score_gemma":0.007222393,"threshold_uncertainty_score":0.9373355},"labels":[],"label_agreement":null},{"id":"W7029180252","doi":"","title":"Industry Talk: Brittany Gerow","year":2022,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Best practice; Work (physics); Perspective (graphical)","score_opus":0.006823344870321879,"score_gpt":0.19993263353319268,"score_spread":0.1931092886628708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029180252","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005976778,0.03427075,0.009032208,0.2468773,0.08336998,0.0002174126,0.0014327988,0.003270124,0.6155526],"genre_scores_gemma":[0.017289264,0.0052197683,0.0017523946,0.021156268,0.0016820244,0.000088294975,0.00042464185,0.0010472888,0.95134014],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832326,0.00016435768,0.0000350139,0.00037247856,0.0008467904,0.00025808808],"domain_scores_gemma":[0.9980008,0.0002612176,0.000049114667,0.000088479785,0.0008975763,0.0007027861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001900087,0.0013857723,0.0006929612,0.0015491039,0.0050521833,0.005562587,0.0011644607,0.0023488118,0.20256619],"category_scores_gemma":[0.0032054863,0.00072779343,0.00046032123,0.00090625783,0.0016015766,0.0036195677,0.003109084,0.004234176,0.071063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003797627,0.000017532095,0.00013331606,0.000065465225,0.0000032560968,0.0000947487,0.00029807817,0.00007539782,0.0004365002,0.003525364,0.9769057,0.018406607],"study_design_scores_gemma":[0.0000039281867,0.000011517166,0.00023794503,0.000050176026,0.0000036495012,0.0001571857,0.00053524517,0.000056942572,0.00022294215,0.0004964154,0.9982085,0.000015568094],"about_ca_topic_score_codex":0.016059598,"about_ca_topic_score_gemma":0.0383495,"teacher_disagreement_score":0.20256619,"about_ca_system_score_codex":0.0037673067,"about_ca_system_score_gemma":0.0034175473,"threshold_uncertainty_score":0.6776514},"labels":[],"label_agreement":null},{"id":"W7029235775","doi":"","title":"Impact of numerical grid spacing and time step size on vortex Rossby waves in secondary eyewall formation in a simulation of hurricane Wilma (2005)","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Eye; Rossby wave; Vortex; Rossby radius of deformation; Computer simulation; Weather Research and Forecasting Model; Unstructured grid","score_opus":0.008677637324442053,"score_gpt":0.25217238574731227,"score_spread":0.24349474842287022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029235775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978956,0.000050672355,0.00065946893,0.0000800009,0.0000167723,0.00000905908,0.00008140469,0.000038161106,0.0011689388],"genre_scores_gemma":[0.9984629,0.000023704963,0.0011798163,0.00001754205,0.0000025456063,0.000006164196,0.00009197471,0.00001264507,0.00020265792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998066,0.000060438095,0.000016263248,0.000033798202,0.000036049092,0.00004705752],"domain_scores_gemma":[0.99894017,0.00062487536,0.00009455608,0.00008521519,0.00014111515,0.00011407513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007660522,0.00036866555,0.000397218,0.00031728606,0.0005477507,0.00088728446,0.0004352132,0.0007573233,0.000942185],"category_scores_gemma":[0.0031431438,0.00024154464,0.0004506778,0.00025778415,0.00049618346,0.00032318436,0.00046458826,0.0005086794,0.00010413029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009919328,0.0003966379,0.067481354,0.000070247566,0.000112369904,0.0007078958,0.0002620694,0.8913692,0.023326125,0.0013386562,0.0009191544,0.013024301],"study_design_scores_gemma":[0.00015903557,0.0003935894,0.03030289,0.000024986055,0.000040162508,0.00007633864,0.00024827328,0.9551646,0.01260591,0.0003091709,0.0006388684,0.000036190286],"about_ca_topic_score_codex":0.0188621,"about_ca_topic_score_gemma":0.015465237,"teacher_disagreement_score":0.0188621,"about_ca_system_score_codex":0.00057444826,"about_ca_system_score_gemma":0.00066441187,"threshold_uncertainty_score":0.037504613},"labels":[],"label_agreement":null},{"id":"W7029250069","doi":"","title":"Impacts des changements climatiques sur la santé et la sécurité des travailleurs","year":2012,"lang":"fr","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sugar industry; Population; Urban environment; Terzaghi's principle","score_opus":0.03881938223362014,"score_gpt":0.32371916324472483,"score_spread":0.2848997810111047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029250069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86740845,0.018512525,0.004877083,0.017191859,0.0004696997,0.00037014464,0.0069967676,0.00014585714,0.08402762],"genre_scores_gemma":[0.9647999,0.011275587,0.0028378535,0.0019857725,0.00012702945,0.00017880928,0.0014368606,0.00004191924,0.017316382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974833,0.00089604297,0.00007686429,0.00034524538,0.00070476346,0.0004938877],"domain_scores_gemma":[0.99508333,0.0010897705,0.0007468638,0.00022774986,0.0020303356,0.0008219189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024037287,0.0005274012,0.0007115243,0.0010181061,0.002123339,0.0028981352,0.00088913954,0.0009883695,0.0113871135],"category_scores_gemma":[0.0045044525,0.00025689547,0.0012023603,0.0020055224,0.0015892491,0.0009866407,0.0017572348,0.00159385,0.000915917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008095184,0.00044931914,0.7682497,0.0036087835,0.0018201937,0.000687753,0.009696869,0.008973506,0.009991189,0.013928779,0.013192465,0.16859196],"study_design_scores_gemma":[0.000019501449,0.0003342394,0.94847137,0.0006196933,0.00026205645,0.00008006726,0.0060254787,0.0009426697,0.0010009806,0.0009896407,0.041196372,0.000057967492],"about_ca_topic_score_codex":0.7463595,"about_ca_topic_score_gemma":0.87032425,"teacher_disagreement_score":0.7463595,"about_ca_system_score_codex":0.012728255,"about_ca_system_score_gemma":0.018045695,"threshold_uncertainty_score":0.5102684},"labels":[],"label_agreement":null},{"id":"W7029262984","doi":"","title":"Increasing Diversity and Equity in the Health Services Research Workforce: A Systematic Scoping Review","year":2022,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workforce; Psychological intervention; Equity (law); Diversity (politics); Inclusion (mineral); Health equity; Socioeconomic status; Focus group; Health services research; Promotion (chess)","score_opus":0.05848763823278661,"score_gpt":0.369590867044476,"score_spread":0.3111032288116894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029262984","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001500835,0.98847663,0.001401893,0.00340686,0.0007175816,0.002686376,0.00023806895,0.000019262163,0.0015525556],"genre_scores_gemma":[0.01765997,0.97098404,0.0048931534,0.0016940462,0.00035830616,0.003961304,0.00025324133,0.000011338334,0.00018464963],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.8805692,0.05874702,0.034359805,0.0038581786,0.020352155,0.002113641],"domain_scores_gemma":[0.6306492,0.28720415,0.03330661,0.0064452365,0.039586984,0.0028078933],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.118815474,0.002106178,0.00753229,0.032426126,0.0034154025,0.009678211,0.0034003349,0.005317131,0.0033309464],"category_scores_gemma":[0.362108,0.0023750023,0.00735919,0.027620858,0.004102286,0.011956331,0.0073696934,0.0036668046,0.00050310773],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117933305,0.00005842215,0.002589538,0.82111484,0.00406539,0.00014584945,0.0030136409,0.00030630818,0.00017373684,0.0027650255,0.005792681,0.15985653],"study_design_scores_gemma":[0.000034109158,0.000037361187,0.0010749318,0.9818762,0.003362329,0.000078577425,0.00089861476,0.00007176348,0.000053074727,0.00071651366,0.011778962,0.000017587152],"about_ca_topic_score_codex":0.017420776,"about_ca_topic_score_gemma":0.03941491,"teacher_disagreement_score":0.9965997,"about_ca_system_score_codex":0.013761044,"about_ca_system_score_gemma":0.092769794,"threshold_uncertainty_score":0.6283638},"labels":[],"label_agreement":null},{"id":"W7029342010","doi":"","title":"The Intrinsic Value of Co-Designing Skateparks","year":2019,"lang":"en","type":"other","venue":"OCAD University Open Research Repository (OCAD University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Value (mathematics); Space (punctuation); Public space; Sustainable development; Intrinsic value (animal ethics); Urban planning","score_opus":0.028600986115702595,"score_gpt":0.2803943924380359,"score_spread":0.25179340632233327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029342010","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3981223,0.0014715376,0.17974825,0.012256878,0.00038694148,0.0006200468,0.00014124194,0.00055269356,0.40670007],"genre_scores_gemma":[0.9198615,0.00047632863,0.057156056,0.000460702,0.000055667453,0.00036793802,0.00006617417,0.00020951196,0.021346062],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.96779186,0.023062443,0.000641244,0.0019793164,0.0052009914,0.0013242034],"domain_scores_gemma":[0.9598835,0.022801448,0.0023918224,0.0071815057,0.0046337955,0.0031078206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018602526,0.00068028684,0.0004146759,0.001983486,0.006739701,0.0152406115,0.0020826773,0.0019227143,0.00808202],"category_scores_gemma":[0.028060993,0.0006774247,0.00053787435,0.0013144109,0.012965899,0.007244082,0.013440776,0.002155653,0.0020548813],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032021778,0.00074375543,0.034371532,0.0020577759,0.00014370489,0.001443084,0.3962743,0.0038793348,0.010265993,0.21252511,0.013105269,0.3248699],"study_design_scores_gemma":[0.00009630524,0.00069206284,0.016638517,0.0014792258,0.00021327854,0.00265081,0.2674395,0.0075220712,0.012699099,0.10002774,0.5903596,0.00018176985],"about_ca_topic_score_codex":0.0022967227,"about_ca_topic_score_gemma":0.0081995195,"teacher_disagreement_score":0.018602526,"about_ca_system_score_codex":0.0045606405,"about_ca_system_score_gemma":0.006087649,"threshold_uncertainty_score":0.098380685},"labels":[],"label_agreement":null},{"id":"W7029394766","doi":"","title":"Intersecting discourses : deaf institutions and communities in Montreal, 1850-1920","year":2003,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Politics; Deaf education; Deaf culture; Identity (music)","score_opus":0.022736911489111947,"score_gpt":0.26293366249777955,"score_spread":0.2401967510086676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029394766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6097783,0.017152825,0.0015770105,0.037690453,0.00043522977,0.000105629544,0.00077774446,0.00011375166,0.33236906],"genre_scores_gemma":[0.9730603,0.001595362,0.00023445237,0.0006651923,0.00005483693,0.000025592004,0.0000500274,0.00002113489,0.024293102],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.998042,0.0005622824,0.000037023743,0.00023057807,0.00043614962,0.0006919906],"domain_scores_gemma":[0.9975285,0.00074919575,0.00026661938,0.00009629249,0.00053542963,0.00082391663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022381959,0.0004894345,0.00032592515,0.00340018,0.026822885,0.0089209275,0.0020100917,0.0018303207,0.012118582],"category_scores_gemma":[0.005056538,0.00042929174,0.0003047719,0.0041666636,0.02870479,0.0047318847,0.006752709,0.0026835955,0.00041032734],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005592157,0.000026887534,0.005092834,0.000080254664,0.000013840199,0.0006784299,0.78221875,0.00026146192,0.00061160856,0.18177798,0.010796465,0.01838547],"study_design_scores_gemma":[0.000024536828,0.000029508934,0.027628139,0.00031029558,0.000028633844,0.00022824951,0.5094595,0.00033316834,0.0007072419,0.009295406,0.45186302,0.000092285496],"about_ca_topic_score_codex":0.96256196,"about_ca_topic_score_gemma":0.9744892,"teacher_disagreement_score":0.12516044,"about_ca_system_score_codex":0.12516044,"about_ca_system_score_gemma":0.05167072,"threshold_uncertainty_score":0.9081068},"labels":[],"label_agreement":null},{"id":"W7029502399","doi":"","title":"Le secteur privÃ© et la conservation de la biodiversitÃ©, un apprentissage des partenariats au BrÃ©sil","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Agency (philosophy); Government (linguistics); Work (physics); Public sector; Indigenous","score_opus":0.004450991935474474,"score_gpt":0.15073121643626472,"score_spread":0.14628022450079026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029502399","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09310209,0.053699974,0.0064242296,0.028158907,0.0021042824,0.0000822064,0.008113253,0.0009222002,0.80739284],"genre_scores_gemma":[0.1183653,0.016372997,0.004215168,0.0007951935,0.00016353223,0.00003550302,0.002066502,0.00035105128,0.85763466],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995414,0.00004977754,0.000010389734,0.000064705506,0.00025542246,0.00007829158],"domain_scores_gemma":[0.99957496,0.00012186927,0.000062298175,0.00004465134,0.00011667571,0.00007957859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004712617,0.00036644822,0.00022306474,0.0010080482,0.0018175434,0.0038594864,0.0004951554,0.001151546,0.05164229],"category_scores_gemma":[0.0012385407,0.0002497754,0.000363923,0.002564925,0.0010274466,0.0011818244,0.0012077269,0.0011108605,0.0050233994],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002895435,0.00005966862,0.018723667,0.0008334491,0.00004484176,0.0007895582,0.004738965,0.0020618418,0.0042532063,0.15650725,0.28253317,0.5291649],"study_design_scores_gemma":[0.0000066425446,0.000013808571,0.024459666,0.00013845223,0.0000077555815,0.00023176437,0.0011716121,0.0004193466,0.0010814316,0.003162107,0.9692941,0.000013352044],"about_ca_topic_score_codex":0.3341994,"about_ca_topic_score_gemma":0.53337884,"teacher_disagreement_score":0.3341994,"about_ca_system_score_codex":0.006775836,"about_ca_system_score_gemma":0.009470041,"threshold_uncertainty_score":0.6645083},"labels":[],"label_agreement":null},{"id":"W7029572872","doi":"","title":"Investigation of responses of age-group swimmers during training / by W. Alan M. Roaf. --","year":2017,"lang":"en","type":"other","venue":"Knowledge Commons (Lakehead University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Strong","keywords":"Test (biology); Training (meteorology); Adaptation (eye); Repeated measures design; Longitudinal study","score_opus":0.03721094184381802,"score_gpt":0.23949070557541224,"score_spread":0.20227976373159423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029572872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966717,0.0002454913,0.0002656156,0.00015775627,0.00006138189,0.00004909053,0.000192858,0.00001501681,0.0023409666],"genre_scores_gemma":[0.9839596,0.0007121633,0.0009913463,0.00051285094,0.000071743874,0.0001568225,0.00044714127,0.000014537769,0.013133661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982387,0.000035699955,0.000010470255,0.0000521946,0.000053828935,0.000023853712],"domain_scores_gemma":[0.99975675,0.00002681187,0.00004700772,0.000014951928,0.00008369833,0.00007082389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024267596,0.0002486994,0.00013512516,0.00022777711,0.00026414945,0.00018378001,0.00017804537,0.0003063406,0.0038031966],"category_scores_gemma":[0.00062482245,0.0000984206,0.00012190809,0.000099826124,0.00017609312,0.00010238671,0.0003084836,0.0002589266,0.0019532868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016496681,0.0007305425,0.7141433,0.00024308797,0.00007050091,0.0013668608,0.0035222853,0.00009120537,0.13268806,0.000058076814,0.0067568272,0.13867971],"study_design_scores_gemma":[0.0000059170866,0.0012179014,0.9924697,0.000024328261,0.000008692802,0.00045932725,0.0007958879,0.00005620056,0.001964463,0.000010380929,0.0029811605,0.0000058903543],"about_ca_topic_score_codex":0.0023985556,"about_ca_topic_score_gemma":0.00627798,"teacher_disagreement_score":0.0038031966,"about_ca_system_score_codex":0.00013187614,"about_ca_system_score_gemma":0.00015737592,"threshold_uncertainty_score":0.012722969},"labels":[],"label_agreement":null},{"id":"W7029584510","doi":"","title":"Learning statistical regularities in speech sounds: syllable-position vs. co-occurrence information","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Centre for Research on Brain, Language and Music","keywords":"Statistical learning; Statistical analysis; Feature (linguistics); Statistical model","score_opus":0.00922020756098602,"score_gpt":0.24276855355175447,"score_spread":0.23354834599076846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029584510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8140905,0.0025464864,0.17398207,0.0019823927,0.00035001637,0.000043754426,0.0010690183,0.00090063346,0.005035136],"genre_scores_gemma":[0.9270562,0.0019564228,0.06212638,0.00015409003,0.0002867831,0.000040992567,0.0017929928,0.0003044382,0.0062816613],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99963343,0.00008772435,0.000028048496,0.00015651359,0.000056895384,0.0000374663],"domain_scores_gemma":[0.99356055,0.0053132838,0.00022656209,0.00023989296,0.0003914358,0.00026828278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159512,0.0003434478,0.0004860494,0.00066184154,0.00033796736,0.0013976942,0.0004255305,0.0005806086,0.0027785522],"category_scores_gemma":[0.009535753,0.00034562024,0.00045527055,0.0006954746,0.00037705983,0.0011802404,0.00062398723,0.0015692933,0.0016563651],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018438043,0.00033869018,0.03288576,0.000225213,0.00018687095,0.00017591001,0.0005109652,0.020497339,0.06107332,0.0026345013,0.0076346966,0.87199295],"study_design_scores_gemma":[0.00010775134,0.0007261063,0.123692416,0.00016738982,0.0003684686,0.0003579787,0.0007318082,0.8046112,0.049440324,0.014847452,0.0048006503,0.00014838492],"about_ca_topic_score_codex":0.0024053382,"about_ca_topic_score_gemma":0.0051399157,"teacher_disagreement_score":0.0027785522,"about_ca_system_score_codex":0.00022311429,"about_ca_system_score_gemma":0.00039110205,"threshold_uncertainty_score":0.009295225},"labels":[],"label_agreement":null},{"id":"W7029614448","doi":"","title":"Les expérimentations ethnologiques de Marcel Maget","year":2024,"lang":"fr","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage","funders":"","keywords":"","score_opus":0.027349118653838,"score_gpt":0.25707506737740454,"score_spread":0.22972594872356655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029614448","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34472895,0.046361543,0.034442093,0.06970826,0.0023823802,0.0002025642,0.0003254555,0.00018925715,0.5016596],"genre_scores_gemma":[0.88895476,0.010362296,0.0057734163,0.0028006714,0.0005522609,0.00030284713,0.000097638236,0.00020742684,0.09094882],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9907741,0.007769379,0.00008729068,0.00049319875,0.00063906336,0.00023690918],"domain_scores_gemma":[0.99248236,0.0066190977,0.00019103028,0.00027275967,0.00029430093,0.00014043185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072319666,0.00092754356,0.0005792517,0.0020789169,0.0073007727,0.0062130876,0.00069003983,0.002562395,0.0061088945],"category_scores_gemma":[0.01364553,0.000538112,0.00028379893,0.0018769186,0.014290119,0.008515247,0.0037714948,0.0037423314,0.0010618212],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001089941,0.0000773701,0.0009930932,0.00018927749,0.000014776118,0.00078691595,0.3916656,0.00035925236,0.001876937,0.54804015,0.014958889,0.040928785],"study_design_scores_gemma":[0.000028328675,0.00007433968,0.002910527,0.000657608,0.000010359131,0.0011692257,0.238639,0.00043975783,0.0018329353,0.067631945,0.68654305,0.0000628224],"about_ca_topic_score_codex":0.00946417,"about_ca_topic_score_gemma":0.009332677,"teacher_disagreement_score":0.00946417,"about_ca_system_score_codex":0.0040343856,"about_ca_system_score_gemma":0.0014629066,"threshold_uncertainty_score":0.03824675},"labels":[],"label_agreement":null},{"id":"W7029627294","doi":"","title":"337 Kristine Tortora","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Typeface; Typography; Style (visual arts); Legibility; Work (physics)","score_opus":0.004993616218389274,"score_gpt":0.18241629857699085,"score_spread":0.17742268235860156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029627294","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011823617,0.04069489,0.00090223196,0.042735953,0.014734671,0.000031435924,0.00053488003,0.00061177276,0.8985719],"genre_scores_gemma":[0.004703149,0.007967087,0.00039314575,0.0021492897,0.0010039496,0.00001228731,0.00011577703,0.00024873193,0.9834065],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993882,0.0000645933,0.000017307108,0.00012114712,0.0003463921,0.00006227514],"domain_scores_gemma":[0.9990227,0.00012491773,0.000043994794,0.000054869866,0.0004596538,0.00029381673],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042218057,0.0005131591,0.00033731406,0.0010222138,0.0024788622,0.0034110409,0.00051285786,0.0010876947,0.24245709],"category_scores_gemma":[0.0020736894,0.00034289164,0.00015571427,0.00082786055,0.0008872101,0.0027489853,0.00163009,0.0020373915,0.12559898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049976143,0.000003927018,0.000035882626,0.000027868819,3.7937534e-7,0.000037096586,0.000093944676,0.000009288796,0.000055988752,0.0021833098,0.9775105,0.020036826],"study_design_scores_gemma":[3.396223e-7,0.0000014622786,0.00006571067,0.000031527725,2.7597383e-7,0.00010085187,0.00009133434,0.0000063798475,0.000027443662,0.00018789984,0.999485,0.0000016767345],"about_ca_topic_score_codex":0.015100913,"about_ca_topic_score_gemma":0.04088772,"teacher_disagreement_score":0.7575429,"about_ca_system_score_codex":0.0017203228,"about_ca_system_score_gemma":0.00179046,"threshold_uncertainty_score":0.81109977},"labels":[],"label_agreement":null},{"id":"W7029787922","doi":"","title":"Livestock research and development in Upper Volta","year":2018,"lang":"en","type":"other","venue":"Economic Commission for Africa Knowledge Repository (Economic Commission for Africa)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Livestock; Arid; Agriculture; Quarter (Canadian coin); Natural resource; Natural (archaeology); Pastoralism","score_opus":0.060689370485984065,"score_gpt":0.31811988238653494,"score_spread":0.2574305119005509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029787922","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.718735,0.022402637,0.0016785685,0.010630102,0.00039365192,0.00019564104,0.0036780136,0.00018985795,0.24209659],"genre_scores_gemma":[0.9395316,0.011716083,0.0024345259,0.0009782172,0.00007752883,0.000090515125,0.00158047,0.000028389757,0.043562636],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997968,0.000045479177,0.000013216352,0.000039987113,0.000032085936,0.0000724225],"domain_scores_gemma":[0.9996598,0.00010147504,0.000042889533,0.000019771725,0.000036586658,0.00013947752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003511454,0.0001290599,0.00013555233,0.00095594686,0.0008398588,0.0012446133,0.0002582237,0.00049037125,0.010669968],"category_scores_gemma":[0.00067914836,0.000106887666,0.00011486249,0.0015350349,0.00030409129,0.00047563005,0.0012557338,0.00037961392,0.0011220505],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055716175,0.0005364533,0.19385508,0.0033245673,0.000097495016,0.020634495,0.023398126,0.0012757605,0.031103386,0.07424951,0.06863418,0.5823338],"study_design_scores_gemma":[0.00005445248,0.00012997954,0.3151487,0.0017177806,0.000039698076,0.006153686,0.015531201,0.001013017,0.0025666426,0.0046612625,0.65295774,0.000025922922],"about_ca_topic_score_codex":0.008830069,"about_ca_topic_score_gemma":0.011664923,"teacher_disagreement_score":0.010669968,"about_ca_system_score_codex":0.0012693753,"about_ca_system_score_gemma":0.0015721987,"threshold_uncertainty_score":0.0356946},"labels":[],"label_agreement":null},{"id":"W7029791342","doi":"","title":"L’adultisme comme outil d’analyse critique : exemple appliqué à l’intervention sociojudiciaire auprès des jeunes vivant en contexte de violence conjugale","year":2022,"lang":"fr","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oppression; Context (archaeology); Injustice; Agency (philosophy); Intervention (counseling); Relevance (law); Power (physics); Discipline","score_opus":0.1729488256609358,"score_gpt":0.5027966091194204,"score_spread":0.32984778345848453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029791342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57754993,0.010797494,0.07927784,0.054181408,0.0019039997,0.0007471677,0.00011387841,0.00033807795,0.2750902],"genre_scores_gemma":[0.953157,0.00142947,0.009630339,0.0033112,0.0003053702,0.00021758796,0.000026832153,0.00009019386,0.03183201],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98960775,0.007908327,0.00016657026,0.0004780939,0.0009767337,0.00086257054],"domain_scores_gemma":[0.992894,0.004627178,0.0004269143,0.0005141252,0.0010313209,0.00050651294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009541506,0.0010439184,0.00047763638,0.0011422547,0.015062968,0.00672177,0.001714104,0.004725312,0.0027395098],"category_scores_gemma":[0.010111618,0.00030768235,0.0005918948,0.00080478005,0.029497817,0.0027241807,0.0044942712,0.0051037343,0.0004223132],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004668036,0.00007175401,0.0021993087,0.00018375457,0.000010978708,0.0023975726,0.8518247,0.0002093278,0.001575732,0.110940106,0.0048096473,0.025730375],"study_design_scores_gemma":[0.00003119013,0.00016606814,0.0065608146,0.0008330908,0.000034398032,0.0023612399,0.42270875,0.0009311916,0.0028161579,0.019485114,0.544016,0.00005603483],"about_ca_topic_score_codex":0.082148165,"about_ca_topic_score_gemma":0.113276735,"teacher_disagreement_score":0.082148165,"about_ca_system_score_codex":0.011240856,"about_ca_system_score_gemma":0.009136945,"threshold_uncertainty_score":0.16334003},"labels":[],"label_agreement":null},{"id":"W7029877615","doi":"","title":"Measurement of the t(t)over-bar production cross section in p(p)over-bar collisions at root s=1.96 TeV using missing E-T + jets events with secondary vertex b tagging","year":2006,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; National Science Council; Alfred P. Sloan Foundation; Fermilab; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Russian Foundation for Basic Research; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Lepton; Vertex (graph theory); Cross section (physics); Top quark; Standard Model (mathematical formulation); Collider; Pair production; Detector; Quark","score_opus":0.011413999089713734,"score_gpt":0.20342746975360795,"score_spread":0.1920134706638942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029877615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945373,0.00007070061,0.003399773,0.000018753102,0.0000040202003,0.00000853781,0.00034703698,0.00010872023,0.0015051193],"genre_scores_gemma":[0.9972645,0.00005661988,0.0018059933,0.000012294451,0.0000046927867,0.0000075203943,0.00040321337,0.00001575862,0.00042956174],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996387,0.000047787576,0.000012593129,0.00012830998,0.000109829445,0.00006272196],"domain_scores_gemma":[0.9992336,0.00022489144,0.00030288435,0.000075476106,0.00007139327,0.00009175998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047357095,0.0005325812,0.00024766297,0.00074731297,0.00036191955,0.0007777784,0.0006294058,0.0005726983,0.0022896794],"category_scores_gemma":[0.00090319116,0.00040677973,0.00033170683,0.0007385626,0.00036266923,0.0004352001,0.00070291356,0.0003667745,0.000555941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003236199,0.0002803283,0.19029732,0.00015515875,0.00018691477,0.0027978935,0.00026376834,0.010054263,0.771345,0.0019214744,0.0009896564,0.018471932],"study_design_scores_gemma":[0.00016522058,0.0015758094,0.23375557,0.000014129013,0.000115106304,0.0050157406,0.00013960524,0.03500328,0.7213344,0.0012524299,0.001558784,0.00006991124],"about_ca_topic_score_codex":0.00062688865,"about_ca_topic_score_gemma":0.000683849,"teacher_disagreement_score":0.0022896794,"about_ca_system_score_codex":0.00023542205,"about_ca_system_score_gemma":0.00012372872,"threshold_uncertainty_score":0.0076597333},"labels":[],"label_agreement":null},{"id":"W7030023570","doi":"","title":"Learn French In A Hurry: Grasp the Basics of Francais Tout De Suite","year":2010,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suite; French; GRASP; French literature","score_opus":0.015257989022298664,"score_gpt":0.2532354359796167,"score_spread":0.237977446957318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030023570","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03274387,0.00980548,0.06994229,0.07862558,0.0015871424,0.0001566374,0.0022417307,0.00792513,0.7969721],"genre_scores_gemma":[0.25000998,0.0075858356,0.061027642,0.0078589665,0.00046202593,0.00014744488,0.0023426162,0.0029923283,0.6675731],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946946,0.00014328797,0.000020216585,0.00010222229,0.0001490401,0.00011579902],"domain_scores_gemma":[0.9991347,0.0002336504,0.000033065182,0.00009022779,0.00028832225,0.00021995902],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011728151,0.0013467971,0.0003464854,0.00080916,0.0028361063,0.005177011,0.00063447666,0.0020216762,0.10497413],"category_scores_gemma":[0.0031288394,0.00031473069,0.00051893,0.0005811703,0.002348262,0.00744364,0.0022084236,0.0018108152,0.03210887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014544197,0.000076540135,0.0025721258,0.0002569791,0.0000109966595,0.0006755316,0.008404236,0.0005165156,0.0026976976,0.098282434,0.54556984,0.34079158],"study_design_scores_gemma":[0.000009391212,0.000027010203,0.001743923,0.00023369108,0.0000046271625,0.0005503672,0.0032338114,0.0005281081,0.00074426224,0.014929445,0.97797024,0.000025098461],"about_ca_topic_score_codex":0.085578606,"about_ca_topic_score_gemma":0.17899372,"teacher_disagreement_score":0.89502585,"about_ca_system_score_codex":0.0041254293,"about_ca_system_score_gemma":0.0034312375,"threshold_uncertainty_score":0.3511734},"labels":[],"label_agreement":null},{"id":"W7030050517","doi":"","title":"List of goods shipped to Henry Nelles of Grimsby by Gerrard, Gillespie and Moffat Co.","year":2016,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clothing","score_opus":0.006456153882491329,"score_gpt":0.1889404889446529,"score_spread":0.18248433506216158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030050517","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010065987,0.0017047119,0.0005444611,0.0008106537,0.0006947809,0.000108489716,0.015781496,0.00084907183,0.9784999],"genre_scores_gemma":[0.0011573324,0.0007685976,0.000273863,0.000074972435,0.00004133861,0.000018099607,0.0040444946,0.00023672856,0.99338466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977845,0.000010662287,0.000008096246,0.000039803792,0.00011937295,0.000043538133],"domain_scores_gemma":[0.9993038,0.00003949016,0.00002554113,0.000037044752,0.0004083063,0.0001857906],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021902568,0.0011225721,0.0006346264,0.00272533,0.0018928733,0.0018549416,0.0006412009,0.0005567632,0.77140355],"category_scores_gemma":[0.001089891,0.00044761912,0.00026235436,0.0031090437,0.0003977138,0.0015406528,0.0011744266,0.0008055458,0.58265424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017780085,0.000008583853,0.00012500818,0.000054057018,0.0000012025612,0.000031532443,0.00003163099,0.000031022268,0.00014948656,0.00076092576,0.9714475,0.027341202],"study_design_scores_gemma":[0.0000020090627,0.0000070150063,0.00077597745,0.000026972199,7.758542e-7,0.00003992388,0.000042718748,0.000014484744,0.000070720795,0.00006741047,0.9989491,0.0000029215998],"about_ca_topic_score_codex":0.071616575,"about_ca_topic_score_gemma":0.24934381,"teacher_disagreement_score":0.77140355,"about_ca_system_score_codex":0.0019491572,"about_ca_system_score_gemma":0.0023128,"threshold_uncertainty_score":0.32606506},"labels":[],"label_agreement":null},{"id":"W7030071251","doi":"","title":"The Marc Patrone Show - May 5, 2022 - Roe v. Wade Being Used to Distract Canadians from COVID Mandates, &amp; How Ukraine War Could Spark WW3","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SPARK (programming language); Knight; Coronavirus disease 2019 (COVID-19); Abortion; 2019-20 coronavirus outbreak; Government (linguistics)","score_opus":0.007020988890895425,"score_gpt":0.19063791764711505,"score_spread":0.18361692875621963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030071251","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00062337413,0.0022513238,0.00017416054,0.023894716,0.004818121,0.000046399397,0.001181739,0.00029161674,0.9667185],"genre_scores_gemma":[0.0025453689,0.00029673113,0.00006416197,0.0031455592,0.00020741503,0.000010711768,0.00012458743,0.000074630676,0.9935308],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942625,0.00003724957,0.000009684658,0.00006648526,0.00029893598,0.00016151584],"domain_scores_gemma":[0.9993419,0.00006253267,0.000023305553,0.000033345543,0.0003079399,0.00023092683],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005308585,0.00048361922,0.00026621454,0.0006159475,0.005842445,0.004034813,0.00053813227,0.003852579,0.32785422],"category_scores_gemma":[0.0025640957,0.0004535191,0.00028765926,0.00050778367,0.000859846,0.0017525778,0.0015670358,0.0043838224,0.15373287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005316317,0.0000034517052,0.00005321717,0.0000072508437,3.6836028e-7,0.000028193215,0.000028133241,0.0000047426743,0.00004041277,0.0022328272,0.9952951,0.0023008438],"study_design_scores_gemma":[0.0000017525053,0.0000032826965,0.00036740396,0.000021370033,5.369383e-7,0.000021338243,0.00008354937,0.000014619616,0.00006524168,0.00018917178,0.99922884,0.0000029287737],"about_ca_topic_score_codex":0.17071153,"about_ca_topic_score_gemma":0.5405134,"teacher_disagreement_score":0.8292885,"about_ca_system_score_codex":0.0028683722,"about_ca_system_score_gemma":0.0032659401,"threshold_uncertainty_score":0.9587344},"labels":[],"label_agreement":null},{"id":"W7030071654","doi":"","title":"Magical glasses: Shakespearean character and cultural change in the eighteenth century","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Appropriation; Ideology; Scholarship; Bourgeoisie; Commodification; Drama; Identity (music); Social order; Dialogic; Agency (philosophy)","score_opus":0.024320113321712838,"score_gpt":0.2583236176932728,"score_spread":0.23400350437155995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030071654","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8450003,0.0079526175,0.00035188269,0.0058260933,0.00031898063,0.00002281915,0.000047800597,0.000021984151,0.1404574],"genre_scores_gemma":[0.9841195,0.0015717582,0.00011938967,0.00023385172,0.000053350843,0.000012014952,0.000012327662,0.000015597334,0.013862208],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830097,0.0005606979,0.00006506483,0.00019090343,0.0003760729,0.0005063242],"domain_scores_gemma":[0.9989813,0.00039470076,0.00012019666,0.000055331155,0.00017095516,0.0002774365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002437493,0.00032647906,0.00045839854,0.001887103,0.018699097,0.0075466093,0.0008014991,0.0014664487,0.0034178442],"category_scores_gemma":[0.0026592214,0.00039994044,0.00017372063,0.0014601224,0.025089048,0.0039094537,0.0045750956,0.0029495321,0.00028739087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030436928,0.000014392643,0.00114762,0.000034466906,0.0000033159952,0.00028983757,0.95100695,0.000015925536,0.00021709177,0.04069742,0.00089989934,0.0056425226],"study_design_scores_gemma":[0.000021376856,0.00010178913,0.015686583,0.00034281507,0.000009250658,0.0006508949,0.59923506,0.00005632728,0.000619945,0.0070336857,0.3761911,0.00005113303],"about_ca_topic_score_codex":0.056298535,"about_ca_topic_score_gemma":0.09877861,"teacher_disagreement_score":0.056298535,"about_ca_system_score_codex":0.010359501,"about_ca_system_score_gemma":0.0037021947,"threshold_uncertainty_score":0.111941636},"labels":[],"label_agreement":null},{"id":"W7030137955","doi":"","title":"Mistr zvíkovského oplakávání","year":2007,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Polychrome; Context (archaeology); Style (visual arts); Fountain; Master plan; Quarter (Canadian coin); Bachelor","score_opus":0.005819298695915347,"score_gpt":0.24840032576231447,"score_spread":0.2425810270663991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030137955","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033343256,0.105692804,0.00929665,0.030741353,0.01994304,0.00021746903,0.0019479287,0.0011231202,0.7976943],"genre_scores_gemma":[0.18989532,0.039621312,0.0034890752,0.0020683464,0.0028581317,0.00011791991,0.00089244667,0.0007720014,0.7602854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994338,0.00007219799,0.00003172214,0.00016712194,0.00021136853,0.000083824154],"domain_scores_gemma":[0.99966645,0.00007485847,0.000032892916,0.00002729591,0.000111192036,0.00008728354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993362,0.00057782815,0.00067331153,0.0014034342,0.002120179,0.0035918187,0.0005463111,0.0007543661,0.047735438],"category_scores_gemma":[0.001563939,0.00029511744,0.00027018585,0.0007270721,0.0014932745,0.0018539177,0.0023684031,0.0019072163,0.026714899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022436296,0.00010993125,0.0018743295,0.0012644788,0.000017209248,0.0007602594,0.00911612,0.00063725316,0.0045846147,0.16889411,0.51346475,0.29905266],"study_design_scores_gemma":[0.00000477609,0.000019814514,0.0010873686,0.00019703986,0.0000044088283,0.00031923185,0.0008146352,0.00008915881,0.00086523715,0.0032440855,0.9933466,0.000007697086],"about_ca_topic_score_codex":0.0019395967,"about_ca_topic_score_gemma":0.0025856073,"teacher_disagreement_score":0.047735438,"about_ca_system_score_codex":0.001682587,"about_ca_system_score_gemma":0.0019755212,"threshold_uncertainty_score":0.15969092},"labels":[],"label_agreement":null},{"id":"W7030159378","doi":"","title":"Montreal’s Music Community&#13;\\n","year":2011,"lang":"en","type":"article","venue":"STOR (Dundalk Institute of Technology)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Focus (optics); Natural (archaeology); Subject (documents)","score_opus":0.030437780441846154,"score_gpt":0.22080669691192628,"score_spread":0.19036891647008014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030159378","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033292004,0.0014557244,0.00062906963,0.012200255,0.003940458,0.00008184651,0.003587932,0.00064311665,0.9741323],"genre_scores_gemma":[0.008457439,0.00040237265,0.00044564743,0.00066523894,0.00022298284,0.000015463766,0.00073250465,0.00015606295,0.9889023],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.99934393,0.00003862504,0.0000094133675,0.00010726057,0.000282736,0.00021810443],"domain_scores_gemma":[0.9992256,0.000034141845,0.000023642418,0.00006436631,0.00031747203,0.00033487598],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005707502,0.0008022713,0.00031243765,0.0013079353,0.006841195,0.0048754965,0.0009997574,0.0012453693,0.38609028],"category_scores_gemma":[0.0010955182,0.00035945963,0.00039925874,0.0012575495,0.0010435132,0.0009714748,0.00172534,0.0012024856,0.074461445],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035445577,0.000017243061,0.000770151,0.000027053306,0.0000047231933,0.00013306823,0.00010121917,0.00005501722,0.00038445642,0.0074353795,0.9474827,0.043553628],"study_design_scores_gemma":[0.0000033583763,0.000003934616,0.001528911,0.00000965414,0.0000011741661,0.000018491815,0.00009900217,0.000033002816,0.00012202132,0.00020735692,0.99796754,0.0000054812717],"about_ca_topic_score_codex":0.6510257,"about_ca_topic_score_gemma":0.90972275,"teacher_disagreement_score":0.38609028,"about_ca_system_score_codex":0.007484051,"about_ca_system_score_gemma":0.011323782,"threshold_uncertainty_score":0.8756677},"labels":[],"label_agreement":null},{"id":"W7033506309","doi":"","title":"Rôle du soutien parental conditionnel dans le développement d'une estime de soi contingente, d'attitudes dysfonctionnelles et de symptômes dépressifs chez une population adolescente","year":2023,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Parental control; Personal autonomy","score_opus":0.009133667318254823,"score_gpt":0.20020038448776645,"score_spread":0.19106671716951162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033506309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933229,0.0015310149,0.0012872173,0.00077116716,0.000040935858,0.00003555975,0.00037336702,0.000009545218,0.0026281693],"genre_scores_gemma":[0.9973578,0.00051068846,0.00071229384,0.00006082299,0.000010645788,0.000044263805,0.00016228251,0.0000057545835,0.0011352757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977071,0.0011980439,0.00011740993,0.00043525008,0.00033415377,0.00020792946],"domain_scores_gemma":[0.9849375,0.008986069,0.0030662338,0.0012036475,0.0010939594,0.0007125961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004481276,0.0005215051,0.00046630704,0.00071293506,0.00090428,0.0017823006,0.0007718053,0.000630781,0.0059896572],"category_scores_gemma":[0.021114748,0.00049378595,0.0010687063,0.00083158363,0.0009555675,0.0011403402,0.001419946,0.0014486051,0.00036342183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008093492,0.000083101295,0.9844462,0.00005135508,0.00017521637,0.0001233075,0.00481664,0.00007481717,0.00014945643,0.00094091566,0.00021996807,0.0088382205],"study_design_scores_gemma":[0.000009866838,0.00014885791,0.9922661,0.00013609402,0.00028246111,0.00023568932,0.0039798035,0.00059332757,0.0002907445,0.00063621375,0.0014055867,0.0000152533],"about_ca_topic_score_codex":0.042854313,"about_ca_topic_score_gemma":0.041258227,"teacher_disagreement_score":0.042854313,"about_ca_system_score_codex":0.0011616495,"about_ca_system_score_gemma":0.0028646637,"threshold_uncertainty_score":0.08520973},"labels":[],"label_agreement":null},{"id":"W7033644717","doi":"","title":"Revue du processus de gestion de cas : la perspective criminologique","year":2008,"lang":"fr","type":"report","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Context (archaeology); Order (exchange); Point (geometry)","score_opus":0.030551538071367134,"score_gpt":0.2435823664840686,"score_spread":0.2130308284127015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033644717","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10879093,0.11992652,0.07928087,0.39797252,0.002227808,0.00044229202,0.00084240397,0.00033162805,0.29018497],"genre_scores_gemma":[0.90534616,0.048699357,0.019740833,0.0062089055,0.00044468782,0.000204025,0.00014329949,0.00014812646,0.01906468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9890765,0.0048389323,0.0003742432,0.0012852562,0.0030865218,0.0013385117],"domain_scores_gemma":[0.9800986,0.011234902,0.0017403803,0.0012520195,0.0046555456,0.0010184323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012532876,0.0018244269,0.001265155,0.013439638,0.015248851,0.024309343,0.0053414926,0.006367971,0.010615667],"category_scores_gemma":[0.02133642,0.0008454242,0.0008530067,0.0087922765,0.05827397,0.02149383,0.0068959603,0.0065186042,0.0009643303],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033466684,0.000051213905,0.011391375,0.00067138136,0.000037939142,0.00070392375,0.13925482,0.0010557391,0.00027010505,0.74087965,0.010268697,0.09538171],"study_design_scores_gemma":[0.00001572828,0.00007658399,0.0194169,0.0048572905,0.0001049574,0.0014382832,0.3401423,0.0028702994,0.0014280856,0.3140888,0.3153772,0.00018357462],"about_ca_topic_score_codex":0.62889004,"about_ca_topic_score_gemma":0.6985476,"teacher_disagreement_score":0.62889004,"about_ca_system_score_codex":0.0664227,"about_ca_system_score_gemma":0.09080963,"threshold_uncertainty_score":0.746591},"labels":[],"label_agreement":null},{"id":"W7033752221","doi":"","title":"Satcon(R) Reports Third Quarter 2011 Financial Results","year":2011,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Payment; Term (time); Work (physics)","score_opus":0.010591961222479448,"score_gpt":0.21039983475935986,"score_spread":0.1998078735368804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033752221","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029762664,0.00070422725,0.0043068384,0.01033492,0.005312009,0.00031374433,0.036583766,0.010616416,0.9288518],"genre_scores_gemma":[0.0068739937,0.0004411615,0.0027745897,0.0012026578,0.00057220814,0.00010172089,0.029356796,0.0021646335,0.9565123],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99703443,0.00024538935,0.00009271727,0.00023732023,0.0019156463,0.00047457733],"domain_scores_gemma":[0.9940799,0.0005739884,0.00021419539,0.00085335824,0.0033248144,0.00095361006],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033168574,0.0018878756,0.0011721541,0.0032545493,0.0018704535,0.007554252,0.0021668351,0.002815807,0.52768785],"category_scores_gemma":[0.008207158,0.00045534628,0.0010674003,0.0021336714,0.00084830064,0.0020852317,0.0018384727,0.0024892078,0.54785556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009388983,0.00006189574,0.0001264512,0.000020157751,0.0000050217777,0.000031293937,0.0000030814397,0.00022557093,0.00016035818,0.002075965,0.9778561,0.019340212],"study_design_scores_gemma":[0.00015032948,0.000103567254,0.0013576112,0.000043617227,0.000016484164,0.00008912904,0.000040853713,0.0043641864,0.0023467576,0.0041120094,0.9873471,0.000028324055],"about_ca_topic_score_codex":0.0109243775,"about_ca_topic_score_gemma":0.017822502,"teacher_disagreement_score":0.52768785,"about_ca_system_score_codex":0.0025995553,"about_ca_system_score_gemma":0.004084385,"threshold_uncertainty_score":0.6736959},"labels":[],"label_agreement":null},{"id":"W7033978595","doi":"","title":"01 Session 1: Megacities Iasi, Poitiers, Montreal","year":2021,"lang":"de","type":"other","venue":"Common Library Network (Der Gemeinsame Bibliotheksverbund)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Megacity; Session (web analytics); Mega-","score_opus":0.01499329818053358,"score_gpt":0.23172069132501052,"score_spread":0.21672739314447695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033978595","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007892504,0.0024291368,0.0023396653,0.021588976,0.015026694,0.0013840132,0.089643866,0.0061843055,0.8535108],"genre_scores_gemma":[0.017777875,0.0007659043,0.0010417043,0.0012142897,0.0014216815,0.0007912042,0.03098418,0.0015430911,0.94446015],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990128,0.00012567345,0.000016843393,0.00019148298,0.0003183375,0.00033489626],"domain_scores_gemma":[0.9966695,0.00015162387,0.00006864925,0.00020476009,0.00071459496,0.0021909198],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017128029,0.0014386977,0.0008996517,0.0012619374,0.0044856197,0.005456503,0.0020374097,0.00221332,0.6603395],"category_scores_gemma":[0.0025046305,0.00043042228,0.0006463973,0.001932477,0.0007649565,0.001577022,0.0051724426,0.0022453556,0.3475388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006806746,0.000021753798,0.00022151873,0.000055696997,0.000003050618,0.00003967853,0.0001182804,0.000042056494,0.00018413353,0.0006337011,0.9927797,0.005832419],"study_design_scores_gemma":[0.000015539617,0.000017595481,0.0015778508,0.000063316525,0.0000025214692,0.000014479821,0.00023418016,0.00006422634,0.00012504304,0.00025346255,0.99762446,0.000007480398],"about_ca_topic_score_codex":0.079739235,"about_ca_topic_score_gemma":0.28927267,"teacher_disagreement_score":0.9202608,"about_ca_system_score_codex":0.0063702706,"about_ca_system_score_gemma":0.006464549,"threshold_uncertainty_score":0.4844845},"labels":[],"label_agreement":null},{"id":"W7034217037","doi":"","title":"Texas, guns and America's political paralysis","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gun control; Politics; Heading (navigation); State (computer science); Front (military); Poison control","score_opus":0.004243362178587616,"score_gpt":0.18177928228862925,"score_spread":0.17753592011004163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034217037","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074383104,0.04994289,0.00023501042,0.15770164,0.006559436,0.000008287314,0.00032502,0.0001589875,0.7776305],"genre_scores_gemma":[0.09544995,0.043501746,0.00029262147,0.026360301,0.0049435687,0.00002287453,0.00028688257,0.00010862863,0.8290334],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997731,0.00004652977,0.000005610408,0.0000232704,0.00006930185,0.00008224519],"domain_scores_gemma":[0.9997303,0.00006268861,0.000034124474,0.000017708526,0.000057803903,0.00009741808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003456486,0.00035701387,0.0001684533,0.0011861868,0.006348943,0.006401582,0.00044284514,0.0021158394,0.07868105],"category_scores_gemma":[0.0010294674,0.00016859215,0.00016745176,0.0015836752,0.0025656878,0.0027209984,0.0025612838,0.0026117817,0.007950019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010593827,0.000013799797,0.00026138945,0.00004338149,0.0000012886159,0.00011082882,0.0014766708,0.000033126915,0.000049588834,0.051689833,0.91596437,0.030345013],"study_design_scores_gemma":[0.0000023948544,0.0000054143225,0.0008992515,0.000089746514,0.000001388565,0.00008491205,0.0019872803,0.000021365715,0.00002853843,0.0036641099,0.9932122,0.0000034203176],"about_ca_topic_score_codex":0.04191169,"about_ca_topic_score_gemma":0.082717635,"teacher_disagreement_score":0.07868105,"about_ca_system_score_codex":0.00401221,"about_ca_system_score_gemma":0.002552914,"threshold_uncertainty_score":0.26321435},"labels":[],"label_agreement":null},{"id":"W7036536242","doi":"","title":"Cloud Peak Energy Inc. Announces Results for Fourth Quarter and Full Year 2015 - Energy (ENERGY01) News","year":2016,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Cloud computing; Quarter (Canadian coin); Nowcasting; Cloud cover; Energy consumption","score_opus":0.008018940882375605,"score_gpt":0.22987276263207257,"score_spread":0.22185382174969698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036536242","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022242568,0.0013814261,0.0023116262,0.035580337,0.028275408,0.0001893218,0.017861748,0.0052444176,0.90693146],"genre_scores_gemma":[0.0055389954,0.00063890853,0.00068900356,0.0040031527,0.0014803836,0.00003277902,0.008779142,0.0013792582,0.97745836],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985238,0.000035194735,0.000021828311,0.00007289682,0.0010866849,0.0002597334],"domain_scores_gemma":[0.9976404,0.0001952888,0.000052427047,0.0001668257,0.0014551741,0.0004898303],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001334035,0.0008499074,0.00044777428,0.0010438015,0.0034307549,0.0085817,0.0010827018,0.002780429,0.33855218],"category_scores_gemma":[0.003325763,0.00037171715,0.0007001124,0.0012538233,0.0005870921,0.0027314683,0.0018698632,0.004097759,0.18507804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028211682,0.000017654655,0.00008312531,0.000009732983,0.0000011314349,0.000027820055,0.0000059339063,0.000020628595,0.00009895534,0.0012257576,0.9922638,0.0062172604],"study_design_scores_gemma":[0.0000102023705,0.0000110102255,0.00057949725,0.000017688066,0.0000018647281,0.000025827425,0.000055131306,0.00016003179,0.00046273117,0.00057969487,0.99808973,0.0000066448392],"about_ca_topic_score_codex":0.03667715,"about_ca_topic_score_gemma":0.13430363,"teacher_disagreement_score":0.33855218,"about_ca_system_score_codex":0.0017801109,"about_ca_system_score_gemma":0.003266055,"threshold_uncertainty_score":0.94347507},"labels":[],"label_agreement":null},{"id":"W7037790764","doi":"","title":"Future-Proofing Climate Boomtowns: Public Policies and Community Actions in Chicago, Toronto, Geneva and Zurich","year":2025,"lang":"en","type":"other","venue":"Archive ouverte UNIGE (University of Geneva)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Climate governance; Urban climate; Equity (law); Flooding (psychology); Climate policy; Urban resilience; Corporate governance; Political economy of climate change","score_opus":0.013804619173964486,"score_gpt":0.21739495307303455,"score_spread":0.20359033389907005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037790764","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89770424,0.0037539578,0.0010582599,0.032484904,0.0003525372,0.00011484165,0.00048321928,0.000109889486,0.063938335],"genre_scores_gemma":[0.9888181,0.0010236676,0.00029753178,0.00034428024,0.000034513483,0.00003734563,0.00014472204,0.000020199595,0.009279531],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910873,0.00023190526,0.000010257297,0.000048072896,0.0000828313,0.0005182306],"domain_scores_gemma":[0.9990426,0.00015098689,0.000083426945,0.000025809932,0.00007679102,0.0006202479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011160754,0.00024098314,0.00014050315,0.00070839433,0.00768067,0.0036712897,0.0005721012,0.0012698711,0.0057762717],"category_scores_gemma":[0.0011741605,0.00016826339,0.00017787976,0.0014645834,0.007552915,0.0018090345,0.003595495,0.0009716228,0.0001649031],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039493394,0.00015077747,0.09771727,0.0005464155,0.000048174046,0.0031642525,0.5154043,0.0041514533,0.0023197106,0.21237841,0.10905945,0.054664906],"study_design_scores_gemma":[0.00003590435,0.00008524969,0.12867028,0.00030007295,0.000022951606,0.00013537463,0.6518606,0.00097643904,0.0006802772,0.0047178236,0.21245477,0.000060288847],"about_ca_topic_score_codex":0.58627015,"about_ca_topic_score_gemma":0.8435865,"teacher_disagreement_score":0.41372985,"about_ca_system_score_codex":0.025466094,"about_ca_system_score_gemma":0.0205179,"threshold_uncertainty_score":0.83233273},"labels":[],"label_agreement":null},{"id":"W7038559422","doi":"","title":"Impacts de la consanguinité maternelle sur la mortalité de la progéniture dans une population endogame du Québec","year":2001,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Cultural environment; Context (archaeology); Research methodology","score_opus":0.0045940567290046535,"score_gpt":0.18529942483736284,"score_spread":0.1807053681083582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038559422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99736387,0.00026568276,0.0010964758,0.0001217503,0.0000045625434,0.000011375655,0.00033552264,0.000013315681,0.0007875307],"genre_scores_gemma":[0.9940567,0.00030737292,0.0008980505,0.00007248929,0.0000019095357,0.000023466167,0.00028044122,0.000008701274,0.004350882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995728,0.00020951552,0.000010641202,0.00009919225,0.000036627778,0.000071293915],"domain_scores_gemma":[0.998686,0.00073165965,0.00014066439,0.00009404592,0.0002147426,0.00013275609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011915126,0.0004580458,0.000426113,0.0003563496,0.0007517411,0.0006023435,0.0005637143,0.00033996976,0.0029121353],"category_scores_gemma":[0.0025762697,0.0002124206,0.00055129325,0.00042101523,0.00047318335,0.00022171701,0.00044304397,0.00060624443,0.00018249375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009921485,0.00014793914,0.93006635,0.00013476476,0.0009661362,0.00059460144,0.0016298484,0.016123755,0.01341233,0.0013476502,0.0005630884,0.034021404],"study_design_scores_gemma":[0.0000129777345,0.00040666034,0.9814911,0.000033515294,0.00030508533,0.0000803108,0.000630677,0.014566588,0.00093211,0.000210188,0.0013110117,0.000019761092],"about_ca_topic_score_codex":0.8451476,"about_ca_topic_score_gemma":0.89665323,"teacher_disagreement_score":0.15485239,"about_ca_system_score_codex":0.0049712094,"about_ca_system_score_gemma":0.0034356932,"threshold_uncertainty_score":0.31152868},"labels":[],"label_agreement":null},{"id":"W7038991055","doi":"","title":"Les pratiques artistiques des personnes sourdes et handicapées au Canada : conférence de Véro Leduc","year":2019,"lang":"fr","type":"book","venue":"E-Artexte (Artexte)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Exposition (narrative)","score_opus":0.023665966777853396,"score_gpt":0.26711470217498406,"score_spread":0.24344873539713066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038991055","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045533977,0.4010673,0.012947307,0.05871615,0.014495352,0.00020572149,0.0017960801,0.0007393042,0.46449876],"genre_scores_gemma":[0.06339105,0.08297908,0.00400519,0.0013211557,0.00062609446,0.00005158538,0.000494247,0.00018474544,0.84694684],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999321,0.00006388716,0.00001633004,0.000110946676,0.00035348436,0.00013442252],"domain_scores_gemma":[0.9992873,0.0000829768,0.000015059767,0.000021113137,0.00045034807,0.00014334645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010463923,0.0012081291,0.0005234246,0.0022808493,0.0044544465,0.0054284236,0.0009292601,0.0014966049,0.026726866],"category_scores_gemma":[0.0012994114,0.0004548931,0.00036744802,0.0033192385,0.0033346144,0.00107509,0.0018845263,0.0017115029,0.0032209852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010065067,0.00005645151,0.0017727785,0.00048358555,0.000019612446,0.00030008832,0.0128548015,0.0012269323,0.0026926054,0.043051988,0.564799,0.37264153],"study_design_scores_gemma":[0.000003060227,0.0000065241834,0.002281113,0.00016066963,0.000004457707,0.00016915127,0.0028104754,0.00014958186,0.00043128346,0.0009113091,0.9930568,0.000015580887],"about_ca_topic_score_codex":0.9517506,"about_ca_topic_score_gemma":0.9747746,"teacher_disagreement_score":0.048249424,"about_ca_system_score_codex":0.029214986,"about_ca_system_score_gemma":0.04274613,"threshold_uncertainty_score":0.21197057},"labels":[],"label_agreement":null},{"id":"W7040012538","doi":"","title":"The Greatest Joy","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sermon; Gloom; Natural (archaeology)","score_opus":0.004773748380097373,"score_gpt":0.1808336281215199,"score_spread":0.17605987974142254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7040012538","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001298711,0.0045538447,0.0010024298,0.062259782,0.052274995,0.00008206415,0.0010645866,0.0011640743,0.87629956],"genre_scores_gemma":[0.0023410998,0.00093329896,0.00021119165,0.0056136395,0.0010374143,0.000014654909,0.00014333085,0.0003330609,0.9893722],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990299,0.00012806721,0.000018828941,0.0001447061,0.00040282749,0.0002757368],"domain_scores_gemma":[0.99701595,0.00010544382,0.00004155177,0.00012081737,0.00086154236,0.0018546578],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00094807957,0.0008955546,0.00048521152,0.000807967,0.0053222985,0.006651407,0.00065248593,0.0014795533,0.42585737],"category_scores_gemma":[0.0031991103,0.00041171128,0.0004733688,0.000533586,0.0010383921,0.0033591734,0.006061554,0.004432694,0.30264536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065279883,0.0000054973266,0.000040019066,0.000009499942,5.0246445e-7,0.000014126404,0.00004700465,0.0000030464955,0.0000433894,0.0008765744,0.99096537,0.007988436],"study_design_scores_gemma":[0.0000012528579,0.0000038726525,0.00011165947,0.000021365588,5.055712e-7,0.00004414788,0.00020246067,0.000004680452,0.000038749713,0.00022443225,0.99934405,0.0000028464337],"about_ca_topic_score_codex":0.008143914,"about_ca_topic_score_gemma":0.026409375,"teacher_disagreement_score":0.57414263,"about_ca_system_score_codex":0.0017943777,"about_ca_system_score_gemma":0.0026192525,"threshold_uncertainty_score":0.8189448},"labels":[],"label_agreement":null},{"id":"W7040518644","doi":"","title":"mni06957","year":2020,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Orange (colour); Mural; Order (exchange); Globe","score_opus":0.007570988193593729,"score_gpt":0.20569161047473417,"score_spread":0.19812062228114044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7040518644","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045620714,0.00030399975,0.0007521695,0.0008121402,0.0008396453,0.000072494826,0.008665386,0.0013488295,0.9867491],"genre_scores_gemma":[0.00095749146,0.0001848665,0.00047784715,0.00014009273,0.000080144244,0.000027577027,0.0038731652,0.0002421504,0.99401665],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996581,0.000030432968,0.000018186625,0.000101518526,0.00013500344,0.000056724286],"domain_scores_gemma":[0.9992126,0.000042991538,0.000036563597,0.00010784452,0.00036866838,0.00023128571],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047044083,0.0010122162,0.00054969,0.0016260062,0.002082517,0.0040875766,0.0009761783,0.0011407896,0.8606879],"category_scores_gemma":[0.0012718757,0.000408407,0.00029930827,0.001856459,0.00035915547,0.0014541537,0.0017865645,0.0011282321,0.8262577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054958622,0.000028605713,0.00026315337,0.00006964324,0.000003890872,0.00004329735,0.000030658033,0.00004695676,0.0005327121,0.0029765258,0.8899076,0.10604196],"study_design_scores_gemma":[0.0000048907705,0.000008054984,0.0002913319,0.000024059145,0.0000015531848,0.00002246971,0.00001634513,0.000058827172,0.0000834309,0.00020822437,0.9992785,0.0000024129836],"about_ca_topic_score_codex":0.017241897,"about_ca_topic_score_gemma":0.049654607,"teacher_disagreement_score":0.13931209,"about_ca_system_score_codex":0.0016820737,"about_ca_system_score_gemma":0.0012343363,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7040647029","doi":"","title":"Introduction","year":2016,"lang":"en","type":"article","venue":"Digital Commons - LIU Promoting Scholarship and Creative Work of LIU Students, Faculty, and Staff (Long Island University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human sexuality; Information system; Subject (documents); Information science","score_opus":0.013960053515382261,"score_gpt":0.2400945565930197,"score_spread":0.22613450307763744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7040647029","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026300435,0.0060155066,0.009016997,0.02519304,0.013061086,0.00030154103,0.0063191876,0.0020714325,0.9353912],"genre_scores_gemma":[0.01665774,0.0060117543,0.006957734,0.010966454,0.0038486624,0.0002860537,0.0075547677,0.00086786743,0.94684905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998109,0.00024312924,0.00010691674,0.00045276622,0.00084456033,0.00024355207],"domain_scores_gemma":[0.9970764,0.00044316484,0.00014122174,0.00036678655,0.0013523848,0.00062010443],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016604237,0.00086251047,0.00055354764,0.0015528795,0.0026852794,0.006897691,0.00217221,0.0030748507,0.44704413],"category_scores_gemma":[0.006483986,0.00032891147,0.0006520958,0.0017141242,0.00097129843,0.0048472127,0.004218956,0.0022271634,0.2935304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005675088,0.000056688885,0.0010570325,0.00029471394,0.0000062676063,0.00018295557,0.0008860068,0.00010527086,0.00038080013,0.042316224,0.73360467,0.22105262],"study_design_scores_gemma":[0.0000022291435,0.000009277288,0.00029104194,0.00009952722,0.0000014700657,0.000092720846,0.0001968085,0.000020894755,0.00006453689,0.0026575648,0.99655944,0.0000043991563],"about_ca_topic_score_codex":0.0040883375,"about_ca_topic_score_gemma":0.0048597273,"teacher_disagreement_score":0.44704413,"about_ca_system_score_codex":0.0022752318,"about_ca_system_score_gemma":0.0036801433,"threshold_uncertainty_score":0.7887244},"labels":[],"label_agreement":null},{"id":"W7066372469","doi":"","title":"Horace Mann Reports Third Quarter 2017 Net Income of $0.64 per Share and Operating EPS* of $0.69","year":2017,"lang":"en","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Net income; Net (polyhedron); Adjusted gross income; Net worth","score_opus":0.011613876118758389,"score_gpt":0.25859972304177425,"score_spread":0.24698584692301587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066372469","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014222955,0.00047005925,0.000451707,0.0042771976,0.0019400588,0.00005747133,0.005140669,0.0016842235,0.9845563],"genre_scores_gemma":[0.0018688948,0.00028918372,0.000075217686,0.00018924841,0.00016856729,0.00001239206,0.0016980936,0.0002429217,0.9954554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943656,0.000025668236,0.000013223086,0.000060710634,0.00034872413,0.00011510048],"domain_scores_gemma":[0.99853885,0.000106486965,0.00007711342,0.000111077425,0.00064162863,0.0005248345],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005270959,0.0008753847,0.0003993067,0.0017097506,0.001499842,0.0039107106,0.00075901207,0.0011809776,0.67736554],"category_scores_gemma":[0.0020791385,0.0002631874,0.00037854462,0.001385771,0.0006160679,0.0020212547,0.0020536243,0.0014813866,0.62445736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002889788,0.00001858267,0.00014248623,0.000016614227,8.783053e-7,0.000029174122,0.0000079680985,0.00003976571,0.00012552213,0.0019701207,0.9817306,0.015889358],"study_design_scores_gemma":[0.000009703339,0.000015429685,0.00066989183,0.000031323656,9.584115e-7,0.00003566037,0.000059796876,0.00016991628,0.00032782627,0.0007171387,0.9979563,0.000006047794],"about_ca_topic_score_codex":0.009049977,"about_ca_topic_score_gemma":0.017096164,"teacher_disagreement_score":0.67736554,"about_ca_system_score_codex":0.0012550994,"about_ca_system_score_gemma":0.0026643493,"threshold_uncertainty_score":0.46019888},"labels":[],"label_agreement":null},{"id":"W7067193532","doi":"","title":"La reconnaissance sociale de la vieillesse et des aînés : la participation sociale au sein de villes-amies des aînés au Québec","year":2015,"lang":"fr","type":"dissertation","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social mobilization; Context (archaeology); Yiddish; Social impact","score_opus":0.030142779911262265,"score_gpt":0.28102425489924776,"score_spread":0.2508814749879855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067193532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92664474,0.0008183734,0.0015026474,0.00711088,0.00007692285,0.00007155735,0.0002290215,0.000018152798,0.06352775],"genre_scores_gemma":[0.97638845,0.00043129514,0.00046505907,0.00035896528,0.00000918357,0.00004391883,0.000072984025,0.0000099761455,0.022220027],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9984403,0.0006068718,0.000022394923,0.0001769309,0.00031671772,0.00043675146],"domain_scores_gemma":[0.99699163,0.0005324232,0.00026513086,0.00011134182,0.00095665874,0.0011428427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00179648,0.00024220927,0.00027204904,0.0008211135,0.013364287,0.0051334538,0.00095775374,0.0009180615,0.008609029],"category_scores_gemma":[0.0025145449,0.00017486351,0.00019819895,0.0012633043,0.0067938403,0.0021810306,0.0033922892,0.0014057718,0.00037587908],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008240724,0.00015190727,0.079683274,0.00016625016,0.000035989553,0.0006317174,0.8182649,0.0003375888,0.0018384157,0.042317457,0.010229749,0.046260275],"study_design_scores_gemma":[0.000007744387,0.0000742185,0.1355294,0.0002744595,0.000021605696,0.00010873049,0.7109265,0.00054735236,0.00035462517,0.0021553682,0.1499411,0.000058971706],"about_ca_topic_score_codex":0.93872964,"about_ca_topic_score_gemma":0.9764956,"teacher_disagreement_score":0.061270356,"about_ca_system_score_codex":0.024660915,"about_ca_system_score_gemma":0.027068647,"threshold_uncertainty_score":0.17892832},"labels":[],"label_agreement":null},{"id":"W7067581885","doi":"","title":"Monte Carlo modeling of the Varian TrueBeam linear accelerator, with chamber effects included in determination of the source parameters","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; Varian Medical Systems","keywords":"Truebeam; Monte Carlo method; Linear particle accelerator; Beam (structure); Calibration; Filter (signal processing); Phase (matter)","score_opus":0.010156302107590406,"score_gpt":0.21736209012861557,"score_spread":0.20720578802102516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067581885","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03158375,0.0007091801,0.90593493,0.00058380165,0.00014633399,0.00025314957,0.0041251825,0.0039899372,0.052673645],"genre_scores_gemma":[0.55715483,0.0013995385,0.35981402,0.00047357564,0.00009700025,0.0012107163,0.006695514,0.003115481,0.07003937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995881,0.0001079154,0.000022369813,0.00006821435,0.00018592377,0.000027484866],"domain_scores_gemma":[0.999252,0.00031930013,0.00006697638,0.00007522555,0.00025667716,0.000029838962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006731447,0.00046666342,0.0005280836,0.0005808807,0.0005892804,0.0015521441,0.0016621478,0.00090228074,0.0086368425],"category_scores_gemma":[0.0016803769,0.00069180055,0.00077638176,0.0010194014,0.0003949973,0.0009260671,0.00049381744,0.00079562684,0.00284593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006278913,0.000020329646,0.00094841456,0.00008183368,0.00003410288,0.00008684987,0.00009134345,0.96551746,0.003107822,0.01657307,0.0045252903,0.008950814],"study_design_scores_gemma":[0.000008613719,0.00001639255,0.00034551026,0.000010453121,0.00001147673,0.000049081576,0.0000094002435,0.98455924,0.0019540198,0.002366558,0.010651223,0.000018067403],"about_ca_topic_score_codex":0.015090016,"about_ca_topic_score_gemma":0.013522127,"teacher_disagreement_score":0.015090016,"about_ca_system_score_codex":0.0017625585,"about_ca_system_score_gemma":0.0024407788,"threshold_uncertainty_score":0.030004382},"labels":[],"label_agreement":null},{"id":"W7070014835","doi":"","title":"Aléria – Parking","year":2019,"lang":"fr","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plateau (mathematics); Runway; Pilotage; Quarter (Canadian coin)","score_opus":0.018747434900889513,"score_gpt":0.23729482016010608,"score_spread":0.21854738525921658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070014835","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026497917,0.0025328526,0.0023776449,0.002262683,0.0006434207,0.000103933686,0.0014203674,0.0010053123,0.96315575],"genre_scores_gemma":[0.12824559,0.0022869736,0.0037496744,0.0007624049,0.00028410874,0.00007961984,0.0014353136,0.00033294584,0.86282337],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996699,0.000024879619,0.000012742726,0.000075392854,0.000110493485,0.00010660636],"domain_scores_gemma":[0.9997991,0.000025653731,0.000028093813,0.000037398502,0.0000594708,0.000050325572],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038495724,0.0006990217,0.00030435843,0.0011935413,0.0029872637,0.003972502,0.00082331826,0.0013218682,0.12566979],"category_scores_gemma":[0.00082814385,0.00030217433,0.00044075647,0.0014160413,0.0013467842,0.0009902385,0.0034608997,0.0010788101,0.033378832],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058334327,0.00020562478,0.014841776,0.0010942882,0.000050675626,0.004847461,0.005145939,0.0010210262,0.006701353,0.12621409,0.22576712,0.61352736],"study_design_scores_gemma":[0.000013362176,0.000023231334,0.007082961,0.0001401991,0.000006280418,0.0009111627,0.00075023,0.00014062788,0.0009784129,0.0015893453,0.98834884,0.000015217983],"about_ca_topic_score_codex":0.011969656,"about_ca_topic_score_gemma":0.03170126,"teacher_disagreement_score":0.8743302,"about_ca_system_score_codex":0.001799322,"about_ca_system_score_gemma":0.002748099,"threshold_uncertainty_score":0.42040735},"labels":[],"label_agreement":null},{"id":"W7070322272","doi":"","title":"OpenAIRE interoperability metadata guidelines: ensuring a community-driven global governance for the development of the guidelines","year":2023,"lang":"en","type":"other","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Metadata; Relevance (law); Global governance; Corporate governance; Semantic interoperability; Best practice; Synchronization (alternating current)","score_opus":0.16920311858125733,"score_gpt":0.4272105648487827,"score_spread":0.25800744626752536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070322272","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010921567,0.0037624124,0.47595435,0.10683445,0.0050960667,0.004187931,0.0034170593,0.0097985035,0.38002765],"genre_scores_gemma":[0.078583434,0.0035371142,0.6969747,0.030364508,0.0012861761,0.0048553576,0.014450169,0.009216724,0.16073184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.8880613,0.038847093,0.01503089,0.005791927,0.04556488,0.006704028],"domain_scores_gemma":[0.83649135,0.02551777,0.006650449,0.03316031,0.08755291,0.010627249],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.103601426,0.0012359415,0.0010982151,0.007842232,0.006664722,0.02462542,0.005820062,0.012989392,0.010620051],"category_scores_gemma":[0.12581056,0.0012981021,0.0015296981,0.0067391433,0.0094139585,0.027130699,0.021328842,0.009650527,0.011275771],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043766173,0.00023847086,0.0016388645,0.0005857972,0.0000298489,0.00049374206,0.007618405,0.0015179403,0.0037109812,0.60473007,0.24000426,0.13938789],"study_design_scores_gemma":[0.000011179909,0.00001884428,0.00062867027,0.00064705836,0.000009370001,0.0001442958,0.0016013918,0.0006072612,0.0013532874,0.042763274,0.95214677,0.0000685106],"about_ca_topic_score_codex":0.02168983,"about_ca_topic_score_gemma":0.019161921,"teacher_disagreement_score":0.9753746,"about_ca_system_score_codex":0.010250832,"about_ca_system_score_gemma":0.05350512,"threshold_uncertainty_score":0.5479033},"labels":[],"label_agreement":null},{"id":"W7070399664","doi":"","title":"Penny Postcard Image of St. John's Sisters of Mercy Hospital","year":2011,"lang":"en","type":"other","venue":"CSUN ScholarWorks (California State University, Northridge)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Photography; Image (mathematics); Narrative; Image manipulation","score_opus":0.006080089060195121,"score_gpt":0.18603094071763,"score_spread":0.17995085165743488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070399664","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008563459,0.001118929,0.00049287174,0.012270094,0.006458274,0.00006960759,0.002352314,0.0010854871,0.975296],"genre_scores_gemma":[0.001743889,0.00041173107,0.00016948392,0.0008868136,0.0007788584,0.000012194372,0.0005118049,0.00020973987,0.9952755],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998172,0.000012567039,0.000005587449,0.000026826994,0.00010033876,0.000037437327],"domain_scores_gemma":[0.9992131,0.00008590357,0.000030129004,0.000035575813,0.00028529987,0.000349947],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026146564,0.00068034034,0.00036190025,0.0010629233,0.0015963187,0.0020060607,0.00062985765,0.0011034097,0.7886682],"category_scores_gemma":[0.001348061,0.0002816925,0.00020723694,0.0007326342,0.00030431434,0.0012872056,0.0012569202,0.0015243095,0.38112915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074757877,0.0000035991789,0.000022237844,0.0000062737463,1.9849078e-7,0.000030301031,0.000007356097,0.0000059047497,0.000024940975,0.00023743791,0.99311125,0.0065430575],"study_design_scores_gemma":[0.000006105159,0.000008744336,0.0004897332,0.000028774431,7.2873115e-7,0.00012569032,0.00006301887,0.000045281315,0.000037312635,0.00013403085,0.9990582,0.000002439942],"about_ca_topic_score_codex":0.009581366,"about_ca_topic_score_gemma":0.0324222,"teacher_disagreement_score":0.9904186,"about_ca_system_score_codex":0.0007698345,"about_ca_system_score_gemma":0.0008245741,"threshold_uncertainty_score":0.3014391},"labels":[],"label_agreement":null},{"id":"W7070447157","doi":"","title":"Person Re-identification in Images and Videos","year":2018,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Discriminative model; Salient; Convolutional neural network; Pattern recognition (psychology); Image (mathematics); Similarity (geometry); Deep learning; Feature (linguistics); Matching (statistics); Feature extraction","score_opus":0.012220527888292693,"score_gpt":0.20884162955977467,"score_spread":0.19662110167148197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070447157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18729246,0.002858226,0.78569794,0.00078397855,0.0006338491,0.0004101764,0.0021792992,0.0063906694,0.013753276],"genre_scores_gemma":[0.53372425,0.0032715683,0.44122407,0.0004094768,0.00028318167,0.00008075658,0.004372195,0.00041821375,0.016216265],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986791,0.00015972424,0.00005650953,0.00053538947,0.00039070225,0.00017848138],"domain_scores_gemma":[0.9992155,0.00011864583,0.0001258964,0.00028313624,0.0002146375,0.00004211339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078248227,0.0011210628,0.0009017869,0.0023282964,0.00042534032,0.0010775463,0.0009939441,0.0012723537,0.0030840365],"category_scores_gemma":[0.0027490205,0.000361349,0.0010433473,0.0015706896,0.0004363086,0.0022568067,0.0012479881,0.000994449,0.0039088596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047739543,0.00015490086,0.004487999,0.00024939806,0.00014355886,0.0007083524,0.00028455764,0.016394928,0.050843183,0.0027390146,0.010593533,0.91292316],"study_design_scores_gemma":[0.00003567983,0.0005749683,0.033380345,0.00024623098,0.00028580293,0.005414846,0.0021679974,0.67327374,0.20958376,0.017684625,0.05719747,0.00015450237],"about_ca_topic_score_codex":0.0048846593,"about_ca_topic_score_gemma":0.0064921035,"teacher_disagreement_score":0.0048846593,"about_ca_system_score_codex":0.00056838384,"about_ca_system_score_gemma":0.0004674784,"threshold_uncertainty_score":0.010317147},"labels":[],"label_agreement":null},{"id":"W7079646051","doi":"10.5281/zenodo.17023247","title":"Laelius pedatus","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Czech; Nearctic ecozone; Distribution (mathematics); Period (music); Kingdom","score_opus":0.025313580759310735,"score_gpt":0.22901549676683292,"score_spread":0.2037019160075222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7079646051","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5425542,0.01653721,0.0059610535,0.0008194936,0.000668401,0.00040720537,0.012047338,0.0012722571,0.41973296],"genre_scores_gemma":[0.93476593,0.00405253,0.003957481,0.000609943,0.00014632875,0.0002604267,0.007918771,0.00005925611,0.04822934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998771,0.000011138971,0.000010842806,0.000044072713,0.000034193963,0.000022663851],"domain_scores_gemma":[0.9998492,0.000034297023,0.000057128273,0.000010131232,0.000033087847,0.000016155605],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012195495,0.0005852735,0.00031502367,0.0018843774,0.0014261879,0.000528453,0.0004169758,0.0003491141,0.014614763],"category_scores_gemma":[0.00035101603,0.00021411486,0.00012104155,0.0008700544,0.0006115326,0.00066337764,0.0009815244,0.00047808053,0.008101773],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016851486,0.00021716481,0.1569499,0.0024618232,0.00015460062,0.002819017,0.0027233283,0.0011910583,0.033060376,0.004831021,0.05708317,0.73682344],"study_design_scores_gemma":[0.0001319288,0.00028759142,0.56110567,0.00071110047,0.00017144647,0.005403232,0.002229101,0.0006311553,0.004310232,0.0013042854,0.4236624,0.000051922492],"about_ca_topic_score_codex":0.012861532,"about_ca_topic_score_gemma":0.05435522,"teacher_disagreement_score":0.98538524,"about_ca_system_score_codex":0.0006233423,"about_ca_system_score_gemma":0.000353505,"threshold_uncertainty_score":0.048891246},"labels":[],"label_agreement":null},{"id":"W7081998409","doi":"10.1016/j.jop.2025.100291","title":"Cryo-paleosols and paleoclimate/cosmic archives in the Dry Valleys, Antarctica","year":2025,"lang":"en","type":"article","venue":"Journal of Palaeogeography","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thornhill Medical (Canada); York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University; University of Oregon","keywords":"Weathering; Geologic record; Clastic rock; Sediment; Climate change; Horizon; Paleoclimatology; Sedimentology","score_opus":0.004365225538572443,"score_gpt":0.22980768695501128,"score_spread":0.22544246141643884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7081998409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94719756,0.0040737833,0.00018278213,0.00044856744,0.00006241468,0.000024958597,0.033456236,0.00008367697,0.014470016],"genre_scores_gemma":[0.96830744,0.0038810775,0.0011483345,0.00035359067,0.00012234435,0.000040811814,0.021838652,0.00006201765,0.004245774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994016,0.0000059472695,0.0000055296628,0.00001350783,0.000019927822,0.000015050475],"domain_scores_gemma":[0.9998242,0.000010578525,0.000049556846,0.000029687739,0.00004678771,0.000039055816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018145372,0.00025781806,0.00014742206,0.003172817,0.0008088713,0.0008653677,0.00023247527,0.00025303595,0.0024585382],"category_scores_gemma":[0.00025959127,0.000108345055,0.00016319154,0.004838629,0.00042319336,0.0002848355,0.00070088747,0.00023263358,0.0008818671],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020068958,0.000028088149,0.9141724,0.00035893222,0.00017477517,0.0012283543,0.0057168663,0.00030057252,0.014022569,0.0008630502,0.017158637,0.045774944],"study_design_scores_gemma":[0.0000031963755,0.000005094153,0.97635716,0.000044990848,0.000020331092,0.00023146575,0.0012867888,0.000045165943,0.00037872998,0.0000582322,0.021563277,0.0000055696514],"about_ca_topic_score_codex":0.040305663,"about_ca_topic_score_gemma":0.09618335,"teacher_disagreement_score":0.040305663,"about_ca_system_score_codex":0.0004793493,"about_ca_system_score_gemma":0.00058037566,"threshold_uncertainty_score":0.08014214},"labels":[],"label_agreement":null},{"id":"W7082035369","doi":"10.5281/zenodo.17137451","title":"cestari-lab/genome-assembly: Genome assembly","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Pipeline (software); Synteny; Genome; Sequence assembly; DNA Transposable Elements; Hybrid genome assembly; Reference genome","score_opus":0.021141515820347307,"score_gpt":0.23684418154338488,"score_spread":0.21570266572303756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082035369","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035729832,0.001106744,0.17978297,0.0005852906,0.00051632454,0.00047484014,0.5047319,0.268288,0.040940925],"genre_scores_gemma":[0.005096937,0.0004898139,0.08526566,0.00036128325,0.00006728069,0.00056829816,0.8377612,0.057741094,0.012648405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896765,0.00014408471,0.00007131418,0.00041612252,0.00028094137,0.00011993509],"domain_scores_gemma":[0.9989182,0.00015881336,0.000081353704,0.0004030937,0.0002858951,0.00015275044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001972562,0.003629518,0.0021239857,0.0030627819,0.001724171,0.0027576066,0.0062498357,0.0019376,0.123528585],"category_scores_gemma":[0.0027482884,0.0016659239,0.002028752,0.0033562675,0.00063810614,0.0019621032,0.0038747154,0.00336246,0.21133403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068148307,0.000063455416,0.0005234563,0.0012689468,0.00011844793,0.0001934077,0.00012439807,0.001066719,0.03720314,0.005804938,0.9119909,0.0409607],"study_design_scores_gemma":[0.00026237633,0.000058928337,0.0013921839,0.00014808058,0.00008095827,0.00045647015,0.00003486065,0.005475532,0.047258623,0.004006831,0.9406976,0.00012754269],"about_ca_topic_score_codex":0.0047770445,"about_ca_topic_score_gemma":0.005417252,"teacher_disagreement_score":0.123528585,"about_ca_system_score_codex":0.001419097,"about_ca_system_score_gemma":0.0021988049,"threshold_uncertainty_score":0.4132443},"labels":[],"label_agreement":null},{"id":"W7082149718","doi":"10.25675/3.022723","title":"Le cri du bayou: le statut et la promotion de la langue Française et la musique Cadienne en Louisiane","year":2007,"lang":"en","type":"other","venue":"Colorado State University","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pride; French; Popularity; Immigration; Identity (music); Cultural identity; Promotion (chess)","score_opus":0.0037089707167996867,"score_gpt":0.2129108346682207,"score_spread":0.209201863951421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082149718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5324456,0.036804404,0.0017031262,0.06526763,0.0008757166,0.000053711814,0.00022312593,0.00008881097,0.3625378],"genre_scores_gemma":[0.8795824,0.0046745837,0.00050877384,0.001271959,0.00011744187,0.00002253132,0.00003956286,0.000018067443,0.11376461],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99950445,0.00019058352,0.000010535038,0.000054943986,0.00007889352,0.00016068912],"domain_scores_gemma":[0.9994634,0.00011391337,0.00007109093,0.000016067766,0.00011547861,0.00022011784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069294276,0.0002813637,0.00014798161,0.0007143946,0.005888428,0.0026888063,0.0003728962,0.0011197728,0.0075439517],"category_scores_gemma":[0.0014518477,0.00010836613,0.00011394525,0.00072379486,0.0030272289,0.0013293985,0.0018794584,0.001502508,0.0006820994],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018198123,0.00012028603,0.060331076,0.0002878123,0.000028684612,0.0015912356,0.1482743,0.00032488722,0.0027335128,0.50699705,0.04708465,0.2320446],"study_design_scores_gemma":[0.000012285879,0.000059755348,0.046379928,0.00023268977,0.0000071979,0.00030428485,0.042036746,0.00020409167,0.0004272944,0.0036792043,0.90663403,0.000022392234],"about_ca_topic_score_codex":0.39418364,"about_ca_topic_score_gemma":0.62413216,"teacher_disagreement_score":0.39418364,"about_ca_system_score_codex":0.012514437,"about_ca_system_score_gemma":0.00908715,"threshold_uncertainty_score":0.7837784},"labels":[],"label_agreement":null},{"id":"W7082276898","doi":"10.14288/1.0450152","title":"Sea spiders of the Salish Sea : comparative morphology and molecular phylogenetic analysis of seven coastal species (Arthropoda, Pycnogonida)","year":2025,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Clade; Ecoregion; Fauna; Range (aeronautics); Spider; Biogeography; Morphology (biology)","score_opus":0.007366575958150785,"score_gpt":0.190977906309704,"score_spread":0.1836113303515532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082276898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994041,0.00009441064,0.00009035184,0.000007564619,8.9844275e-7,0.000005160447,0.000106750944,0.000002679325,0.00028810883],"genre_scores_gemma":[0.9977277,0.0002010907,0.00084943546,0.000025004516,0.000003893612,0.000012558368,0.0008448704,0.00000274588,0.0003326875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999267,0.0000073245083,0.00000773016,0.000017251356,0.000022235734,0.000018661489],"domain_scores_gemma":[0.9998721,0.000011934708,0.000047834124,0.000007919401,0.000023528786,0.000036725538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008638251,0.00016893553,0.00011500967,0.0011277173,0.00040812424,0.0003076184,0.00014237306,0.00018476008,0.000703729],"category_scores_gemma":[0.0001864466,0.000103318744,0.00014416498,0.0006358094,0.00027866522,0.00017734307,0.000399281,0.00015817734,0.00019771517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029269562,0.00005894156,0.64277214,0.0001394602,0.000068323614,0.00060706155,0.0022830688,0.00014458771,0.31201118,0.00013000285,0.00019920534,0.041293297],"study_design_scores_gemma":[0.0000020736452,0.00003737575,0.9984888,0.0000036914864,0.000005123206,0.0003216997,0.0002172225,0.00006968952,0.0005509988,0.000010268212,0.00029095955,0.0000021438896],"about_ca_topic_score_codex":0.006231725,"about_ca_topic_score_gemma":0.0124110365,"teacher_disagreement_score":0.006231725,"about_ca_system_score_codex":0.00020773448,"about_ca_system_score_gemma":0.000213214,"threshold_uncertainty_score":0.012390912},"labels":[],"label_agreement":null},{"id":"W7082277241","doi":"10.14288/1.0450211","title":"Kaska Lesson 28 : The Artist : \"What\" Questions 2","year":2025,"lang":"en","type":"article","venue":"Open Collections","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Audio visual; Language acquisition; Questions and answers","score_opus":0.011363913129304869,"score_gpt":0.2746637559649232,"score_spread":0.26329984283561836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082277241","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080537684,0.00088917656,0.020267725,0.01738857,0.004815299,0.007458384,0.010347113,0.008538518,0.8497577],"genre_scores_gemma":[0.18091744,0.0010147735,0.048720386,0.0101010855,0.00063451205,0.007917068,0.0083706165,0.0024164633,0.7399076],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933285,0.00012682022,0.000032373144,0.00008511538,0.00022266219,0.00020010692],"domain_scores_gemma":[0.9981238,0.00051571464,0.00011181994,0.00011073305,0.0006054714,0.0005323056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008353907,0.0008916448,0.000583769,0.00041189382,0.0014723592,0.001689972,0.0014962066,0.0023463839,0.19684152],"category_scores_gemma":[0.0045251893,0.00036943043,0.00042522053,0.00020026193,0.0007115934,0.001664635,0.002062339,0.0032066582,0.08645384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004004859,0.0010316332,0.0013980092,0.0006208703,0.0000050995695,0.00031919443,0.005163081,0.00023638249,0.0047128536,0.0024981722,0.91037947,0.07323477],"study_design_scores_gemma":[0.00014117523,0.0003093341,0.0049968986,0.0004381462,0.000009742011,0.00034482067,0.005993788,0.0002964305,0.0039518108,0.0040207785,0.9794372,0.000059923703],"about_ca_topic_score_codex":0.0027093259,"about_ca_topic_score_gemma":0.008274035,"teacher_disagreement_score":0.19684152,"about_ca_system_score_codex":0.0008373676,"about_ca_system_score_gemma":0.0018166872,"threshold_uncertainty_score":0.6585005},"labels":[],"label_agreement":null},{"id":"W7082628534","doi":"10.5281/zenodo.17179802","title":"2001 Arctic Social Sciences Program Workshop","year":2001,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Arctic; Agency (philosophy); Social studies; Indigenous; State (computer science); Interview; Social research; The arctic","score_opus":0.05380519047495772,"score_gpt":0.29296748567879094,"score_spread":0.23916229520383323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082628534","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0189404,0.01421156,0.0043989425,0.13272488,0.06089966,0.0014355847,0.008511141,0.00068698486,0.75819093],"genre_scores_gemma":[0.055296294,0.012974277,0.0052545373,0.013476474,0.0059121214,0.0025142275,0.011050134,0.00037229437,0.8931497],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99589515,0.0016873354,0.0002337263,0.0005887975,0.0008663079,0.0007287058],"domain_scores_gemma":[0.9950245,0.0005331401,0.00015497235,0.0001851498,0.0017459582,0.0023562782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009882015,0.0010826354,0.000677271,0.0017722347,0.0100491755,0.0076847705,0.0019892505,0.004413481,0.10233975],"category_scores_gemma":[0.0070645516,0.0004843248,0.0010781767,0.0017944513,0.0008968479,0.0026339428,0.007161252,0.00394829,0.03986461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013831799,0.000206729,0.00095877703,0.00023691068,0.00001315753,0.0003614043,0.0046297307,0.00027923394,0.0002777763,0.006322057,0.94056106,0.04601499],"study_design_scores_gemma":[0.000008123321,0.000025467642,0.0010098531,0.00019254856,0.0000036419444,0.000024144769,0.0036751602,0.000037223086,0.00006526347,0.00092161767,0.99402916,0.000007781613],"about_ca_topic_score_codex":0.027531955,"about_ca_topic_score_gemma":0.058355704,"teacher_disagreement_score":0.10233975,"about_ca_system_score_codex":0.0074193254,"about_ca_system_score_gemma":0.022583948,"threshold_uncertainty_score":0.34236056},"labels":[],"label_agreement":null},{"id":"W7082649364","doi":"10.5281/zenodo.15493016","title":"Effects of the 2024 total solar eclipse upon reception of North American and trans-Atlantic signals in the medium-wave broadcast band, using software defined radio files recorded in Stratford, PEI, Canada.","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Broadband; Spurious relationship; sync; Data set; Eclipse; Solar eclipse; Software; Data file","score_opus":0.014012068168570294,"score_gpt":0.21251756068221878,"score_spread":0.1985054925136485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082649364","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91259474,0.0001948252,0.0006263118,0.00037110472,0.0002546771,0.000073285264,0.057337355,0.000383741,0.02816407],"genre_scores_gemma":[0.9237715,0.00024120261,0.0012015697,0.00019398944,0.00005413936,0.00008914153,0.056952517,0.00021003323,0.017285857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979216,0.00001682486,0.0000062316913,0.000033950673,0.00010933888,0.000041569878],"domain_scores_gemma":[0.9991165,0.00015465202,0.000064551496,0.000040187027,0.00048675883,0.00013731065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023448904,0.00029019377,0.00018166857,0.0005857361,0.0007693842,0.000595373,0.000382968,0.00027573563,0.009099846],"category_scores_gemma":[0.0010373124,0.000199178,0.00014659669,0.0008856497,0.00022376877,0.00018297047,0.00039626117,0.0005129427,0.0019366662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006898226,0.00043628115,0.54021996,0.00067381334,0.00033086544,0.002140795,0.0048029963,0.0066491445,0.13285065,0.00067352445,0.20686519,0.097458564],"study_design_scores_gemma":[0.000018161381,0.000054122127,0.9898788,0.000029948882,0.000018329782,0.00005281769,0.00054793357,0.0005018827,0.0026315725,0.000022192282,0.0062310416,0.000013322324],"about_ca_topic_score_codex":0.41367623,"about_ca_topic_score_gemma":0.7555121,"teacher_disagreement_score":0.58632374,"about_ca_system_score_codex":0.0015194627,"about_ca_system_score_gemma":0.0010898287,"threshold_uncertainty_score":0.8225367},"labels":[],"label_agreement":null},{"id":"W7082668614","doi":"10.1080/07078552.2024.2422697","title":"La loyauté néolibérale du capital patient : le cas des institutions financières publiques québécoises","year":2025,"lang":"fr","type":"article","venue":"Studies in Political Economy","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Capital (architecture); Capitalism; Work (physics)","score_opus":0.040424713496719104,"score_gpt":0.3205294522422342,"score_spread":0.2801047387455151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082668614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8867504,0.0045753033,0.002988933,0.02650577,0.00012241576,0.00006512424,0.00043249966,0.00004371972,0.07851577],"genre_scores_gemma":[0.9866903,0.0010757145,0.00040605245,0.0006323627,0.000033362285,0.000013746752,0.000074775475,0.000010944075,0.011062664],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968635,0.00051138207,0.000092291455,0.00023615912,0.001157325,0.0011393622],"domain_scores_gemma":[0.98689914,0.0030661526,0.0043632216,0.00047064046,0.0027714996,0.0024293878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035292695,0.00022011995,0.0003447222,0.002864526,0.0061785853,0.0061949096,0.00082370045,0.0012813434,0.011595624],"category_scores_gemma":[0.01085394,0.0002674387,0.0002151836,0.0035806345,0.005758671,0.0023555593,0.0025715884,0.001755403,0.00034831176],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024319915,0.000109274784,0.41018716,0.00033160893,0.00016080798,0.003196439,0.07641818,0.0014942703,0.0016699489,0.33985087,0.020814206,0.14552402],"study_design_scores_gemma":[0.00007171364,0.00012412567,0.60825336,0.0012244094,0.0001289599,0.0024279633,0.09913385,0.003257247,0.0017742399,0.021256123,0.26220238,0.00014562877],"about_ca_topic_score_codex":0.7225488,"about_ca_topic_score_gemma":0.8588723,"teacher_disagreement_score":0.27745122,"about_ca_system_score_codex":0.025808664,"about_ca_system_score_gemma":0.025555741,"threshold_uncertainty_score":0.5581703},"labels":[],"label_agreement":null},{"id":"W7082999880","doi":"10.2139/ssrn.5511180","title":"From Duty to Invest to Duty to Divest?: Understanding Fiduciary Duties of Canadian Pension Managers in the Time of Climate Crises","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duty; Fiduciary; Pension; Duty of care; Compensation (psychology)","score_opus":0.02446357681069385,"score_gpt":0.2541391543736215,"score_spread":0.22967557756292764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082999880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.890947,0.0023240186,0.0010158542,0.03300419,0.00011412196,0.000050125745,0.0006203358,0.000014527727,0.07190982],"genre_scores_gemma":[0.9944963,0.00055257266,0.00024350372,0.00056939764,0.00001081223,0.000007698797,0.00009116736,0.000008809281,0.004019739],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99848855,0.00016698807,0.000022262868,0.000102015874,0.0003598504,0.0008603897],"domain_scores_gemma":[0.9949833,0.00079233706,0.00077934517,0.00011855233,0.0014338617,0.0018924592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026389407,0.0002836818,0.00028087726,0.0016384824,0.010523195,0.008128795,0.0023080474,0.0024648109,0.007441199],"category_scores_gemma":[0.0139694,0.00028043255,0.0002416695,0.0026522346,0.006304227,0.0037479121,0.0027450558,0.0028006206,0.00040922384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049727457,0.00024403086,0.24231425,0.00020983216,0.00005613785,0.0008225461,0.42538744,0.0027504861,0.0011953203,0.20816724,0.040318143,0.07803731],"study_design_scores_gemma":[0.000021852997,0.000028638238,0.38348725,0.00044104984,0.000033856137,0.00014008871,0.49758238,0.0027305526,0.00025900328,0.020511094,0.0946321,0.00013212403],"about_ca_topic_score_codex":0.9901078,"about_ca_topic_score_gemma":0.99398464,"teacher_disagreement_score":0.91178894,"about_ca_system_score_codex":0.08821105,"about_ca_system_score_gemma":0.10510622,"threshold_uncertainty_score":0.64001894},"labels":[],"label_agreement":null},{"id":"W7083027452","doi":"10.5281/zenodo.17184916","title":"Scallop Cliffs of NPLD of Mars","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Mars Exploration Program; Scallop; Mars landing; Staring; Shapefile","score_opus":0.01785276054222721,"score_gpt":0.2439682721658605,"score_spread":0.2261155116236333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083027452","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029984291,0.00010490532,0.0003186504,0.00003733287,0.000024151914,0.00001992931,0.9941023,0.0011492657,0.0012450131],"genre_scores_gemma":[0.003815281,0.000043228156,0.0005207838,0.0000145256745,0.0000048888405,0.00003959495,0.99480313,0.00010598756,0.0006525166],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995943,0.000036964215,0.000025761852,0.0001381645,0.00011991092,0.00008504911],"domain_scores_gemma":[0.9995223,0.000064006636,0.000047374742,0.0001504504,0.00015210705,0.00006364423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033073963,0.0014910805,0.0009632858,0.0024842538,0.00064431375,0.0008523129,0.0018909618,0.0009860172,0.022190606],"category_scores_gemma":[0.00089308474,0.0004147425,0.00089766993,0.004263102,0.0003828609,0.00053943566,0.0012744732,0.0008509435,0.031009974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020309378,0.000048133257,0.0062271846,0.0005763432,0.00005872732,0.00015561376,0.00010269456,0.0022882654,0.0011039127,0.00033838037,0.9784506,0.010447166],"study_design_scores_gemma":[0.00019641202,0.000045645367,0.048778728,0.00031458348,0.000055350272,0.0003429592,0.00057572447,0.0042448,0.0023443198,0.0011591886,0.9418625,0.00007973063],"about_ca_topic_score_codex":0.036182545,"about_ca_topic_score_gemma":0.089140326,"teacher_disagreement_score":0.036182545,"about_ca_system_score_codex":0.0006208923,"about_ca_system_score_gemma":0.0010164832,"threshold_uncertainty_score":0.07423496},"labels":[],"label_agreement":null},{"id":"W7083170334","doi":"10.29173/css197","title":"Janet Ajzenstat, Paul Romney, Ian Gentles and William D. Gairdner, Editors. 1999. Canada's Founding Debates.","year":2005,"lang":"en","type":"article","venue":"Canadian Social Studies","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social studies","score_opus":0.014558365930585649,"score_gpt":0.2393454883970295,"score_spread":0.22478712246644383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083170334","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017425264,0.9395674,0.0018552557,0.026530646,0.018244,0.000018141081,0.00055107847,0.00011165896,0.012947555],"genre_scores_gemma":[0.0028647152,0.9380267,0.002404108,0.0023674225,0.007994213,0.000020090329,0.00048312114,0.00020055193,0.045638986],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977436,0.0002508664,0.00015748813,0.00015866733,0.001550457,0.00013891932],"domain_scores_gemma":[0.9926588,0.0021527624,0.00024586674,0.00019295214,0.0040714396,0.00067822775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003945637,0.0026611595,0.0020727245,0.007149386,0.0029104343,0.005914567,0.002735685,0.0033069472,0.023841513],"category_scores_gemma":[0.007910973,0.0018781063,0.00066631165,0.007305565,0.0043024104,0.004279021,0.0014962023,0.004270681,0.01940994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026997604,0.000007025479,0.00012952006,0.0005369658,0.000009113434,0.00004487099,0.0003205545,0.000112937625,0.00008696693,0.0032628716,0.9070867,0.08837552],"study_design_scores_gemma":[0.0000040004657,0.0000040794334,0.00047803656,0.0006866757,0.000015806341,0.00009530017,0.00028930057,0.00008757412,0.00010325998,0.002026628,0.9961966,0.000012840591],"about_ca_topic_score_codex":0.4108609,"about_ca_topic_score_gemma":0.7048255,"teacher_disagreement_score":0.5891391,"about_ca_system_score_codex":0.009521128,"about_ca_system_score_gemma":0.015248785,"threshold_uncertainty_score":0.8169388},"labels":[],"label_agreement":null},{"id":"W7083179517","doi":"10.17863/cam.121410","title":"Inflammation perturbs hematopoiesis by remodeling specific compartments of the bone marrow niche.","year":2025,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Wellcome Trust; York University; National Cancer Institute; National Institutes of Health; Cancer Research UK; New York State Stem Cell Science; Irving Medical Center, Columbia University; Damon Runyon Cancer Research Foundation","keywords":"Stromal cell; Inflammation; Haematopoiesis; Bone marrow; Chemokine; Mesenchymal stem cell; Progenitor cell; Monocyte; Stem cell; Phenotype","score_opus":0.005881949972141619,"score_gpt":0.18127406068477162,"score_spread":0.17539211071263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083179517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95466435,0.0029567096,0.039170034,0.00015975453,0.000047150854,0.00007235615,0.00051761605,0.00049507275,0.0019170353],"genre_scores_gemma":[0.9697356,0.0020380267,0.025644872,0.000112443435,0.000014113489,0.00008443837,0.00033372446,0.00009354947,0.0019432998],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980515,0.000044353128,0.00001332627,0.0000378721,0.000061968094,0.000037266964],"domain_scores_gemma":[0.99992454,0.000018196712,0.00002388817,0.00001014406,0.0000065004633,0.000016670634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023822668,0.00035366142,0.00019898987,0.0005474049,0.00021290866,0.00054441486,0.0001558664,0.00024182368,0.0010280713],"category_scores_gemma":[0.0001412499,0.00020791283,0.00015150438,0.00024077256,0.0003655407,0.00022165591,0.00030170943,0.00037200307,0.00027256334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031420346,0.0000042869897,0.00018785731,0.000018336626,0.0000015966781,0.000018392917,0.000010504814,0.000047103873,0.9981026,0.00007121554,0.000016290403,0.0014904353],"study_design_scores_gemma":[0.000008815542,0.00011668904,0.007981719,0.000010132055,0.000012253065,0.0002550391,0.000060021135,0.0021117853,0.986822,0.00013894112,0.0024774733,0.0000051270126],"about_ca_topic_score_codex":0.00033451675,"about_ca_topic_score_gemma":0.0011933367,"teacher_disagreement_score":0.0010280713,"about_ca_system_score_codex":0.00020799055,"about_ca_system_score_gemma":0.00022742468,"threshold_uncertainty_score":0.003439188},"labels":[],"label_agreement":null},{"id":"W7083294340","doi":"10.1016/j.apsb.2025.09.035","title":"THBru ameliorates atherosclerosis by inhibiting endothelial ferroptosis via regulation of the super-enhancer-associated ABCC1","year":2025,"lang":"en","type":"article","venue":"Acta Pharmaceutica Sinica B","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China","keywords":"Transcription factor; Endothelial dysfunction; Reactive oxygen species; Transcriptome; Signal transduction; Homeostasis; Endothelium; Pathogenesis; Mechanism (biology)","score_opus":0.015017565186624336,"score_gpt":0.27600623808068114,"score_spread":0.2609886728940568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083294340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595337,0.021961004,0.00987277,0.0017196729,0.00040561685,0.00010777137,0.00065306516,0.0007452745,0.005001137],"genre_scores_gemma":[0.9850513,0.004749744,0.0032660319,0.00020453816,0.000054047945,0.00008843669,0.00045839717,0.00006901178,0.006058543],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999864,0.00003752587,0.0000079470565,0.000019715542,0.000032883516,0.000037931877],"domain_scores_gemma":[0.9999244,0.000008725391,0.000022268852,0.000008812547,0.00001327952,0.000022459546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021450514,0.00034615656,0.00059950957,0.00042813906,0.00024913703,0.00033824486,0.00031396345,0.00046022405,0.0035011636],"category_scores_gemma":[0.00016494934,0.0002050546,0.0003453393,0.00018631565,0.00035613685,0.00026084317,0.0002467868,0.001267149,0.0006513353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020978418,0.0003805067,0.00030186112,0.00027688657,0.00004200003,0.00014039493,0.00003426779,0.00010118315,0.9824355,0.00054780015,0.0009883859,0.012653373],"study_design_scores_gemma":[0.00058649236,0.0023048657,0.0060427026,0.000049888804,0.000171424,0.0006763019,0.00010685302,0.0020576443,0.9703931,0.0005239647,0.017064208,0.0000225221],"about_ca_topic_score_codex":0.00074827607,"about_ca_topic_score_gemma":0.0013090589,"teacher_disagreement_score":0.0035011636,"about_ca_system_score_codex":0.00026960275,"about_ca_system_score_gemma":0.00033897912,"threshold_uncertainty_score":0.011712611},"labels":[],"label_agreement":null},{"id":"W7083297100","doi":"10.1016/j.apsadv.2025.100854","title":"Ti/TiOxNy thin films as highly efficient photoelectrode via engineered interfacial facet on plasmonic schottky barriers","year":2025,"lang":"en","type":"article","venue":"Applied Surface Science Advances","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Hakim Sabzevari University","keywords":"Tin; Facet (psychology); Photocurrent; Semiconductor; Substrate (aquarium); Plasmon; Thin film; Schottky barrier; Layer (electronics)","score_opus":0.0032215851044329878,"score_gpt":0.2309517903072764,"score_spread":0.2277302052028434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083297100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99238867,0.00062341185,0.0048524914,0.000044781245,0.000046453664,0.000012952254,0.00014973075,0.00013807321,0.0017432598],"genre_scores_gemma":[0.9860677,0.0006148451,0.009238694,0.00003036495,0.000010322389,0.000022580125,0.00016885827,0.00003986125,0.0038068462],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999243,0.0000038374274,0.0000043137456,0.000022603188,0.000027665443,0.000017364644],"domain_scores_gemma":[0.99994636,0.00000996971,0.000017647944,0.0000058346786,0.000012231592,0.0000079548545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007348812,0.00032178423,0.00023021262,0.000136226,0.00010506596,0.0003143915,0.0005521833,0.00027349315,0.00064287573],"category_scores_gemma":[0.000109037086,0.00023644649,0.00016812178,0.00013792451,0.00011262423,0.00021290561,0.00020681709,0.00025941362,0.00027962064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000837721,0.0000022228237,0.000026000249,0.0000144917,0.0000012772542,0.00001771153,0.0000045440843,0.000023757584,0.9996101,0.00002282571,0.000010658835,0.0002579859],"study_design_scores_gemma":[0.0000038247977,0.000026741694,0.00048314806,0.0000026775517,0.000004894912,0.00003806503,0.000007751485,0.0009175987,0.99813616,0.000009278764,0.00036783074,0.000002071984],"about_ca_topic_score_codex":0.0009132557,"about_ca_topic_score_gemma":0.0021126352,"teacher_disagreement_score":0.0009132557,"about_ca_system_score_codex":0.00035908955,"about_ca_system_score_gemma":0.00013169153,"threshold_uncertainty_score":0.0026053786},"labels":[],"label_agreement":null},{"id":"W7083312032","doi":"10.5281/zenodo.17200353","title":"Intrauterine Autologous PBMC Therapy: Effects on Endome-trial Immunity and IVF Success in Repeated Implantation Failure","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Peripheral blood mononuclear cell; Immune system; Immunity; In utero; Cell mediated immunity; Antibody; Cellular immunity; Immunotherapy","score_opus":0.013853879375665418,"score_gpt":0.2515934414224075,"score_spread":0.2377395620467421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083312032","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033685062,0.0005873177,0.00024385676,0.00016448075,0.00009136163,0.00003619619,0.9944471,0.0004154117,0.000645751],"genre_scores_gemma":[0.0033890442,0.00016712981,0.0006084308,0.0000814114,0.000017352442,0.00011480782,0.9948914,0.00003914254,0.0006912707],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992293,0.00014325148,0.00009328044,0.00026409363,0.00015844175,0.000111689995],"domain_scores_gemma":[0.99882907,0.0004897021,0.00013263551,0.00025779413,0.00018139035,0.00010948918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011957261,0.0023838605,0.0019278555,0.0015373373,0.0005787387,0.0016171087,0.002490971,0.002525773,0.016548814],"category_scores_gemma":[0.0033634063,0.00040324932,0.0019684134,0.0015525372,0.0004733212,0.00050834136,0.0014439973,0.0012520887,0.018726801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010143667,0.00025315903,0.010611309,0.0031043114,0.00035789848,0.00030875969,0.000060088347,0.0031384577,0.00091677945,0.0003892773,0.95802504,0.021820616],"study_design_scores_gemma":[0.0020048479,0.00057937804,0.08609709,0.002759266,0.0009899699,0.0019429798,0.00039663806,0.014039286,0.005558309,0.004110816,0.88120663,0.00031471413],"about_ca_topic_score_codex":0.01569184,"about_ca_topic_score_gemma":0.036696568,"teacher_disagreement_score":0.016548814,"about_ca_system_score_codex":0.0010478228,"about_ca_system_score_gemma":0.0012727167,"threshold_uncertainty_score":0.05536127},"labels":[],"label_agreement":null},{"id":"W7083316682","doi":"10.1029/2024wr038957","title":"Water Storage and Release in Permafrost Catchments: Insights From Hydrometrics, End‐Member Mixing, and Water Age Characterization","year":2025,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Snowmelt; Water storage; Surface runoff; Hydrology (agriculture); Snow; Soil water; Evapotranspiration; Tundra","score_opus":0.021425723972513692,"score_gpt":0.28050854679413556,"score_spread":0.25908282282162187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083316682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99964917,0.000007476803,0.000112807196,0.0000044519925,1.2661674e-7,0.0000020669281,0.000114402945,0.000004324593,0.00010511298],"genre_scores_gemma":[0.9996722,0.00000468487,0.000121517616,0.0000014328149,3.7319154e-7,0.0000017975159,0.00015899206,0.0000015593694,0.00003743886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992955,0.000009815652,0.0000048899865,0.0000183524,0.000014931285,0.000022547696],"domain_scores_gemma":[0.9997589,0.000057125508,0.000054922293,0.000018909504,0.00006274566,0.000047473975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002689517,0.00012987382,0.00021041169,0.0008864474,0.0005226907,0.0005050361,0.0003083701,0.0001867692,0.00043501888],"category_scores_gemma":[0.00055191835,0.00010484168,0.00020809987,0.0009326902,0.0003641463,0.00030263854,0.00034679356,0.000093651106,0.000042350355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009525371,0.000026274856,0.98538023,0.000008895033,0.000029126833,0.00008522387,0.00043284733,0.004096467,0.0047153267,0.000121944446,0.000078429584,0.004929918],"study_design_scores_gemma":[0.0000026015744,0.000009331277,0.98649406,0.0000014472971,0.0000049528653,0.000017490172,0.00025914618,0.01267169,0.00040025119,0.00004718687,0.00008656568,0.000005241185],"about_ca_topic_score_codex":0.26281884,"about_ca_topic_score_gemma":0.3517134,"teacher_disagreement_score":0.26281884,"about_ca_system_score_codex":0.0013211287,"about_ca_system_score_gemma":0.0006030851,"threshold_uncertainty_score":0.5225781},"labels":[],"label_agreement":null},{"id":"W7083318602","doi":"10.1016/j.molliq.2025.128593","title":"Neural network-based computational evaluation of periodic electroosmotic flow in propylene glycol–water ternary nanofluids with oxytactic microbes","year":2025,"lang":"en","type":"article","venue":"Journal of Molecular Liquids","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Nanofluid; Ternary operation; Brownian motion; Nonlinear system; Péclet number; Artificial neural network; Chaotic; Porous medium","score_opus":0.005849287799931234,"score_gpt":0.23757455990672866,"score_spread":0.23172527210679741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083318602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97117954,0.00016466287,0.025980493,0.00015526981,0.000028526627,0.000024123898,0.00007026004,0.000097788296,0.0022993945],"genre_scores_gemma":[0.9949214,0.000040213366,0.004481189,0.000014579449,0.0000022736144,0.00002071628,0.000040202514,0.000004539909,0.0004748654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999373,0.000016900833,0.0000056886497,0.000014946601,0.000013156271,0.000012029373],"domain_scores_gemma":[0.99965966,0.00022033161,0.00003953358,0.0000108411,0.000052933574,0.000016673084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003208903,0.00043142293,0.0003453755,0.00031014832,0.00023310562,0.00049325835,0.00036358525,0.00075413287,0.00061402936],"category_scores_gemma":[0.0009093583,0.00019017253,0.0003388982,0.00020057245,0.00034272904,0.00035504828,0.00027450518,0.00039619222,0.00005070222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009432507,0.000057756566,0.0017750466,0.000035646914,0.000016996632,0.00006450194,0.000020256255,0.9884647,0.004261477,0.000324135,0.000071493894,0.0048137084],"study_design_scores_gemma":[7.781841e-7,0.000007072583,0.00009478041,5.0862167e-7,8.0770775e-7,9.73689e-7,0.0000020003508,0.9995258,0.00034053784,0.000018470348,0.00000748382,7.5032824e-7],"about_ca_topic_score_codex":0.0080338605,"about_ca_topic_score_gemma":0.0047200467,"teacher_disagreement_score":0.0080338605,"about_ca_system_score_codex":0.0006884512,"about_ca_system_score_gemma":0.00045473792,"threshold_uncertainty_score":0.015974224},"labels":[],"label_agreement":null},{"id":"W7083345593","doi":"","title":"Permutations with indistinguishable objects: inconsistencies in the university mathematics training of prospective secondary teachers","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Training (meteorology); Class (philosophy); Focus (optics); Variation (astronomy)","score_opus":0.008334816681035312,"score_gpt":0.1987259046163102,"score_spread":0.1903910879352749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083345593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836896,0.00008098664,0.0045019947,0.0010417278,0.000023060795,0.000019202216,0.00007496329,0.00002653575,0.010541835],"genre_scores_gemma":[0.9976447,0.0000210536,0.0010208803,0.00003595828,0.000003917792,0.000008535898,0.000046340698,0.000015327822,0.0012031848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994093,0.003138925,0.0003340514,0.00050513714,0.001335151,0.0005936925],"domain_scores_gemma":[0.9507981,0.03369524,0.0047648717,0.0040242984,0.003642149,0.0030753529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062111444,0.000110793386,0.00029640607,0.0012319402,0.002705286,0.0035285554,0.0012974994,0.0011424937,0.0073171547],"category_scores_gemma":[0.054782,0.0002612222,0.00022570776,0.0018105133,0.0038955756,0.0042561465,0.00309108,0.0011692997,0.0004467581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018606017,0.0005855187,0.4006171,0.00021868804,0.000043341654,0.0029473293,0.1661172,0.0022725014,0.0026552947,0.2646967,0.0047136787,0.15327197],"study_design_scores_gemma":[0.00013237222,0.00069788034,0.31437,0.00039354392,0.00009738888,0.004080065,0.3242771,0.00958122,0.00621921,0.29531687,0.04466046,0.00017383407],"about_ca_topic_score_codex":0.006137926,"about_ca_topic_score_gemma":0.0076878583,"teacher_disagreement_score":0.0073171547,"about_ca_system_score_codex":0.0017874909,"about_ca_system_score_gemma":0.0038373452,"threshold_uncertainty_score":0.03284806},"labels":[],"label_agreement":null},{"id":"W7083346444","doi":"","title":"Historiantutkijat kokoontuivat Tampereella","year":2025,"lang":"fi","type":"other","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Mercantilism; Subrogation","score_opus":0.00868054251613605,"score_gpt":0.22044907696177216,"score_spread":0.2117685344456361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083346444","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05678349,0.015703589,0.0029290374,0.03350939,0.005358392,0.00019044265,0.0051823524,0.0007326722,0.8796106],"genre_scores_gemma":[0.118014775,0.0056621064,0.0017111319,0.002293668,0.000584108,0.00010693095,0.0026679484,0.00046118698,0.8684982],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992786,0.00009077092,0.000036324247,0.00013232783,0.0002675182,0.00019437674],"domain_scores_gemma":[0.99879056,0.00018126887,0.00013239117,0.000115926254,0.00036581754,0.0004141577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012770431,0.00034905522,0.00019808824,0.0010490777,0.0020499045,0.0064829937,0.00042659158,0.0010641123,0.08836048],"category_scores_gemma":[0.0016916324,0.00023865113,0.00028781258,0.0012803449,0.0010473586,0.0027522407,0.0034232473,0.0020323175,0.024518946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004758591,0.00011481642,0.016500393,0.0011842116,0.000050023624,0.0011989011,0.01715842,0.00024687996,0.011792697,0.17319235,0.4778139,0.30027148],"study_design_scores_gemma":[0.0000034966051,0.000009716219,0.005774857,0.00008688993,0.0000034475795,0.00007559278,0.0013298705,0.00001853642,0.00051219127,0.0007957671,0.99138355,0.0000059842655],"about_ca_topic_score_codex":0.011227767,"about_ca_topic_score_gemma":0.032224566,"teacher_disagreement_score":0.08836048,"about_ca_system_score_codex":0.0039236993,"about_ca_system_score_gemma":0.0073790476,"threshold_uncertainty_score":0.2955953},"labels":[],"label_agreement":null},{"id":"W7083415343","doi":"10.5284/1136435","title":"Archaeological Building Recording of Canada Works, 118-138 Charles Street, Sheffield, South Yorkshire","year":2005,"lang":"en","type":"article","venue":"Archaeology Data Service","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Redevelopment; Plan (archaeology); Brick; Historic site; Section (typography); Government (linguistics); Range (aeronautics); Harbour","score_opus":0.025322955117970825,"score_gpt":0.2450720295342797,"score_spread":0.21974907441630886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083415343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46355945,0.007740301,0.0022314016,0.0027325104,0.00043098786,0.0013535335,0.11304757,0.0004716533,0.4084326],"genre_scores_gemma":[0.29261324,0.0028438782,0.0046201837,0.00041513183,0.000061467385,0.0003444115,0.025306389,0.000286075,0.6735092],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892455,0.000044926695,0.000025913425,0.0001672204,0.0006134012,0.00022390203],"domain_scores_gemma":[0.99826485,0.00011956006,0.00009367388,0.00015839013,0.0010772183,0.00028639013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058011466,0.00041301007,0.0002803251,0.0032147616,0.0068148472,0.0017175048,0.0009907174,0.00044543768,0.06898134],"category_scores_gemma":[0.0012997016,0.000648686,0.00017568962,0.0057881325,0.0013429507,0.00041541734,0.0013635604,0.00076231454,0.0073452317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004284091,0.00010249511,0.113634355,0.00090213027,0.00008058847,0.0035350781,0.034695692,0.0007213385,0.013542725,0.0045294007,0.5297546,0.2980731],"study_design_scores_gemma":[0.000014814119,0.000040005787,0.4359358,0.00020897631,0.000015384396,0.00027815774,0.00921468,0.00012997587,0.0012545271,0.00009922654,0.55275905,0.000049437407],"about_ca_topic_score_codex":0.9768138,"about_ca_topic_score_gemma":0.9985511,"teacher_disagreement_score":0.9768138,"about_ca_system_score_codex":0.018953782,"about_ca_system_score_gemma":0.025997028,"threshold_uncertainty_score":0.23076558},"labels":[],"label_agreement":null},{"id":"W7083417346","doi":"10.1016/j.powtec.2025.121651","title":"Analysis of size reduction data from applying knife mill to assess the grindability index for woody biomass","year":2025,"lang":"en","type":"article","venue":"Powder Technology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek; Mitacs","keywords":"Grinding; Particle size; Energy consumption; Mill; Comminution; Specific energy; Particle (ecology); Biomass (ecology)","score_opus":0.039318825328001655,"score_gpt":0.320539268840719,"score_spread":0.28122044351271736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083417346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96421623,0.00041307101,0.030597746,0.00004332815,0.000025666846,0.00005808989,0.0020383685,0.000542212,0.0020652902],"genre_scores_gemma":[0.95474017,0.00045754676,0.038267545,0.00004346476,0.000020863872,0.00009983971,0.004009137,0.00021890803,0.0021424242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976116,0.000012267793,0.000016542743,0.000034389803,0.00014944105,0.0000261065],"domain_scores_gemma":[0.99876106,0.00045796824,0.0001091956,0.00011426915,0.0005157895,0.000041766776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003985007,0.00034477183,0.00033244037,0.0021145288,0.00026681344,0.0002875356,0.00035131903,0.00031744977,0.0024878038],"category_scores_gemma":[0.0007530503,0.0002017403,0.00040074877,0.0017587427,0.0002259179,0.0003629655,0.00018946524,0.00049442105,0.0005183124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035172998,0.000055709752,0.0074434937,0.00009842977,0.000023790786,0.00009905118,0.000111618436,0.0007234037,0.9614206,0.00008358694,0.00022313991,0.029365394],"study_design_scores_gemma":[0.000010866515,0.00027685778,0.23173277,0.000009080483,0.00009327083,0.00037778076,0.0001573484,0.011941023,0.7531854,0.00013327636,0.0020423979,0.000039979284],"about_ca_topic_score_codex":0.0023406434,"about_ca_topic_score_gemma":0.0038010152,"teacher_disagreement_score":0.0024878038,"about_ca_system_score_codex":0.00019036577,"about_ca_system_score_gemma":0.00021829325,"threshold_uncertainty_score":0.008322537},"labels":[],"label_agreement":null},{"id":"W7083439455","doi":"10.5683/sp3/ccavwl","title":"Geometry optimized molecular catalyst structural files","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Catalysis; Hydrogen; Molecular geometry; Work (physics); Hydrogen molecule","score_opus":0.006079201390184387,"score_gpt":0.24396687564226238,"score_spread":0.237887674252078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083439455","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014364697,0.00042867317,0.00032553953,0.000084058935,0.000041043153,0.00003594256,0.99408466,0.002273608,0.00129],"genre_scores_gemma":[0.0011451034,0.00012668467,0.00062120095,0.000024974066,0.000004436386,0.00006459501,0.9975177,0.00008561089,0.00040959634],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902236,0.000089723755,0.00007478578,0.00029872148,0.0003574858,0.00015690915],"domain_scores_gemma":[0.9992168,0.00019533379,0.000074244286,0.00024479115,0.00019231807,0.00007644488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007043137,0.0056470498,0.0022418397,0.003107497,0.0012542002,0.0019543532,0.0061470373,0.004062078,0.048363443],"category_scores_gemma":[0.002292918,0.0010107572,0.002303057,0.0052576615,0.00076693314,0.0015696394,0.001595224,0.0028743942,0.06415178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026102847,0.00017267595,0.0009017699,0.0013681839,0.00009227609,0.00015147708,0.000021817432,0.0031390958,0.0012715588,0.0011046715,0.98348135,0.008034123],"study_design_scores_gemma":[0.0010501817,0.00015292331,0.004233261,0.00035332545,0.00017273556,0.00051649887,0.00012116536,0.009842561,0.008446368,0.004257133,0.9707338,0.000120055854],"about_ca_topic_score_codex":0.01633324,"about_ca_topic_score_gemma":0.03155261,"teacher_disagreement_score":0.048363443,"about_ca_system_score_codex":0.0018293207,"about_ca_system_score_gemma":0.0027738211,"threshold_uncertainty_score":0.16179186},"labels":[],"label_agreement":null},{"id":"W7083687689","doi":"10.5281/zenodo.17222796","title":"CANADA 🇨🇦, AUSTRALIA 🇦🇺,UK 🇬🇧 WORK VISAS AVAILABLE CALL OR WHATSAPP MR PETER OBENDE ON ☎(08143870581).","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics)","score_opus":0.0322457145736636,"score_gpt":0.23998057242798543,"score_spread":0.20773485785432183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083687689","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005436959,0.0005343119,0.0014125765,0.0021163668,0.00083965727,0.00006720612,0.0033206681,0.0030675288,0.98809797],"genre_scores_gemma":[0.0006356994,0.00014323159,0.00029370328,0.00013361631,0.000018948764,0.000007629964,0.0005698389,0.000491184,0.99770606],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991223,0.0000276451,0.000014417514,0.00019614353,0.00047554437,0.00016394095],"domain_scores_gemma":[0.9977508,0.00014112965,0.000057621048,0.00014988355,0.00103159,0.0008690481],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00060767966,0.0012626587,0.000945488,0.0011784856,0.003509198,0.0043927846,0.0013239994,0.0033712299,0.868741],"category_scores_gemma":[0.0015842204,0.00073301344,0.00058806763,0.0016809073,0.0009261439,0.0016549234,0.0015980038,0.0016759689,0.79306495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007400469,0.000015481737,0.00011154338,0.00007271222,0.0000029468843,0.00003782267,0.00005323911,0.000096967975,0.00073700224,0.0023367377,0.9462016,0.05025992],"study_design_scores_gemma":[0.000007530148,0.0000108551985,0.000265073,0.00002866777,0.000002574947,0.000029143086,0.000053876323,0.00013607403,0.00031522836,0.00032326128,0.99882084,0.0000070288306],"about_ca_topic_score_codex":0.19976746,"about_ca_topic_score_gemma":0.39032045,"teacher_disagreement_score":0.19976746,"about_ca_system_score_codex":0.005020245,"about_ca_system_score_gemma":0.0066198567,"threshold_uncertainty_score":0.3972094},"labels":[],"label_agreement":null},{"id":"W7083699733","doi":"10.35502/jcswb.477","title":"Municipal community safety and well-being policies: Intersectoral action as social innovation","year":2025,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"National Circus School; Alberta Health Services; University of Alberta","funders":"Real Estate Foundation of British Columbia; Alberta Real Estate Foundation; University of Alberta; Canada Research Chairs; Alberta Health Services","keywords":"Operationalization; Government (linguistics); Population; Action (physics); Upstream (networking); Civil society; Investment (military); Public policy; Community development","score_opus":0.019836674283612566,"score_gpt":0.30350885483566975,"score_spread":0.2836721805520572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083699733","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13349494,0.009294494,0.072732575,0.45006883,0.001595554,0.0011593885,0.00017324505,0.000383382,0.3310975],"genre_scores_gemma":[0.9645091,0.0022114676,0.018589716,0.0058476557,0.00028553617,0.0007399323,0.000066727574,0.000070201844,0.007679725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9268269,0.057052553,0.0013154191,0.0035718316,0.0049567986,0.0062765544],"domain_scores_gemma":[0.9503477,0.031579345,0.0033799158,0.0044523845,0.0032814206,0.0069592264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.057456497,0.0006878459,0.0010683724,0.0033792292,0.021588475,0.025407147,0.0036475079,0.008590239,0.007036087],"category_scores_gemma":[0.040023655,0.0006543457,0.0012142516,0.0035616865,0.05159074,0.017040085,0.037947763,0.008838633,0.00050754246],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036485475,0.00016921147,0.0032975355,0.00046290224,0.00005079584,0.0004122855,0.120298564,0.0021277042,0.00027741696,0.8062285,0.009575582,0.05706288],"study_design_scores_gemma":[0.000054375963,0.00014843879,0.002768913,0.0010077476,0.000038996066,0.00010391298,0.12663352,0.0022241445,0.00046316884,0.5489226,0.31756213,0.00007208943],"about_ca_topic_score_codex":0.014380288,"about_ca_topic_score_gemma":0.024327258,"teacher_disagreement_score":0.057456497,"about_ca_system_score_codex":0.037317507,"about_ca_system_score_gemma":0.066444114,"threshold_uncertainty_score":0.30386263},"labels":[],"label_agreement":null},{"id":"W7083711546","doi":"10.5281/zenodo.17230060","title":"CANADA 🇨🇦, AUSTRALIA 🇦🇺,UK 🇬🇧 WORK VISAS AVAILABLE CALL OR WHATSAPP MR PETER OBENDE ON ☎(08143870581).","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics)","score_opus":0.0322457145736636,"score_gpt":0.23998057242798543,"score_spread":0.20773485785432183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083711546","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005436959,0.0005343119,0.0014125765,0.0021163668,0.00083965727,0.00006720612,0.0033206681,0.0030675288,0.98809797],"genre_scores_gemma":[0.0006356994,0.00014323159,0.00029370328,0.00013361631,0.000018948764,0.000007629964,0.0005698389,0.000491184,0.99770606],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991223,0.0000276451,0.000014417514,0.00019614353,0.00047554437,0.00016394095],"domain_scores_gemma":[0.9977508,0.00014112965,0.000057621048,0.00014988355,0.00103159,0.0008690481],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00060767966,0.0012626587,0.000945488,0.0011784856,0.003509198,0.0043927846,0.0013239994,0.0033712299,0.868741],"category_scores_gemma":[0.0015842204,0.00073301344,0.00058806763,0.0016809073,0.0009261439,0.0016549234,0.0015980038,0.0016759689,0.79306495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007400469,0.000015481737,0.00011154338,0.00007271222,0.0000029468843,0.00003782267,0.00005323911,0.000096967975,0.00073700224,0.0023367377,0.9462016,0.05025992],"study_design_scores_gemma":[0.000007530148,0.0000108551985,0.000265073,0.00002866777,0.000002574947,0.000029143086,0.000053876323,0.00013607403,0.00031522836,0.00032326128,0.99882084,0.0000070288306],"about_ca_topic_score_codex":0.19976746,"about_ca_topic_score_gemma":0.39032045,"teacher_disagreement_score":0.19976746,"about_ca_system_score_codex":0.005020245,"about_ca_system_score_gemma":0.0066198567,"threshold_uncertainty_score":0.3972094},"labels":[],"label_agreement":null},{"id":"W7083851798","doi":"","title":"Happy Beer Day! Iceland marks 30th anniversary of end of ban","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spell; Margin (machine learning); Quarter (Canadian coin); Commission","score_opus":0.007155929817809378,"score_gpt":0.21242693441324167,"score_spread":0.2052710045954323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083851798","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010399906,0.0030630738,0.00039781784,0.01006661,0.02939703,0.000053812557,0.006128988,0.00080087665,0.9490519],"genre_scores_gemma":[0.0027098325,0.0013088107,0.00025294864,0.0011222926,0.0018977545,0.000028026414,0.002518851,0.0004463761,0.98971516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956757,0.00003175584,0.00001286528,0.00005787072,0.00020831006,0.00012166352],"domain_scores_gemma":[0.9992084,0.000023068744,0.000033877568,0.00005183453,0.00025901722,0.0004238294],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007892858,0.0009175797,0.00045013725,0.0011057883,0.0026981167,0.0066413395,0.00063565635,0.0013528069,0.44872314],"category_scores_gemma":[0.0011381345,0.00025194112,0.00038154316,0.00070312223,0.0007162737,0.0031404959,0.0037540954,0.0027869628,0.33678266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014591026,0.000008489421,0.00007107698,0.000015520207,6.083463e-7,0.00001849841,0.000014377134,0.000014927843,0.00003488964,0.0016802989,0.9880419,0.010084934],"study_design_scores_gemma":[8.678629e-7,0.0000030190222,0.00029129756,0.000021953689,2.9598766e-7,0.000009751222,0.00002790639,0.000010812957,0.00004516218,0.00015542479,0.9994313,0.0000021439353],"about_ca_topic_score_codex":0.014572345,"about_ca_topic_score_gemma":0.033333343,"teacher_disagreement_score":0.44872314,"about_ca_system_score_codex":0.002022905,"about_ca_system_score_gemma":0.0016344603,"threshold_uncertainty_score":0.7863295},"labels":[],"label_agreement":null},{"id":"W7083865189","doi":"","title":"McCourtyâs pick-6 seals Patriotsâ 25-6 win over Bills","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yard; Quarter (Canadian coin); Screaming; Work (physics); Ridiculous","score_opus":0.009930980441651867,"score_gpt":0.23832653271591006,"score_spread":0.2283955522742582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083865189","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002600897,0.00041614848,0.00083417026,0.0059736427,0.0028866297,0.00007023939,0.0011697927,0.0017668364,0.9842817],"genre_scores_gemma":[0.004643244,0.00016511037,0.00036081515,0.00048801335,0.0001469193,0.000013298069,0.00038840476,0.00044555488,0.99334866],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936026,0.000042697546,0.000013633492,0.00008982398,0.0003187077,0.0001750162],"domain_scores_gemma":[0.99899286,0.000046474845,0.00003312105,0.000099354,0.00031060816,0.00051756797],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000551576,0.0008213569,0.00041439632,0.0011650232,0.006106712,0.0050292704,0.0007308073,0.0012445297,0.6245457],"category_scores_gemma":[0.0020709727,0.0004952033,0.0004936118,0.00058476883,0.0009111506,0.0021203493,0.003970782,0.0030669342,0.34843102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003183902,0.000020054322,0.00028022358,0.000013901944,0.0000017945496,0.00009226238,0.00012288922,0.000013673564,0.00018297801,0.0038782782,0.9777516,0.017610583],"study_design_scores_gemma":[0.0000029018718,0.000008486754,0.0005668578,0.000021231774,8.473874e-7,0.000073985415,0.00021725956,0.00003353879,0.00013876156,0.00028553873,0.9986467,0.0000038508206],"about_ca_topic_score_codex":0.014719233,"about_ca_topic_score_gemma":0.06902688,"teacher_disagreement_score":0.6245457,"about_ca_system_score_codex":0.0014355328,"about_ca_system_score_gemma":0.0012079478,"threshold_uncertainty_score":0.53554},"labels":[],"label_agreement":null},{"id":"W7083866992","doi":"","title":"Honda recalls 1.2M more vehicles with dangerous air bags","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crash; String (physics); Scrutiny; Poison control; Safe driving","score_opus":0.008169874408867656,"score_gpt":0.21935542068756744,"score_spread":0.2111855462786998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083866992","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08422253,0.0052813683,0.004098204,0.019876523,0.006884876,0.00013282182,0.027116649,0.008708201,0.8436787],"genre_scores_gemma":[0.11439062,0.0040346463,0.0028827996,0.004867249,0.00084152917,0.000035398152,0.011688564,0.0011359035,0.8601233],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997291,0.000016920567,0.000009410765,0.000032270826,0.00015957076,0.000052732375],"domain_scores_gemma":[0.9992617,0.00007443869,0.0001071818,0.00009831334,0.00034337255,0.000114910355],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033083992,0.0006451212,0.00019078568,0.0016441325,0.0032051557,0.0026614137,0.00043468314,0.001260209,0.09707447],"category_scores_gemma":[0.001133501,0.00027774324,0.00029581014,0.0012889619,0.0005628639,0.001426025,0.0015056719,0.0010356333,0.033335164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119567616,0.00003382274,0.010458389,0.00013016339,0.000010010272,0.000871594,0.0010747532,0.00009443823,0.0014357574,0.0011481086,0.8442098,0.14041364],"study_design_scores_gemma":[0.0000033230278,0.000012316064,0.008274927,0.000047644844,0.0000047921017,0.00037043454,0.0011788603,0.00009148792,0.0006138455,0.00011717407,0.9892714,0.000013817471],"about_ca_topic_score_codex":0.14637479,"about_ca_topic_score_gemma":0.30393046,"teacher_disagreement_score":0.90292555,"about_ca_system_score_codex":0.0015290166,"about_ca_system_score_gemma":0.0010564659,"threshold_uncertainty_score":0.3247465},"labels":[],"label_agreement":null},{"id":"W7083871305","doi":"","title":"A Mediterranean Odyssey (cd's 1 & 2)","year":2009,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mediterranean climate; Studio; Mediterranean sea; Selection (genetic algorithm)","score_opus":0.01310112765933874,"score_gpt":0.23871500846524982,"score_spread":0.22561388080591108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083871305","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018864811,0.0011078835,0.0010415869,0.0015896334,0.0047490397,0.00012131111,0.0041099004,0.0025340798,0.98286015],"genre_scores_gemma":[0.0013864512,0.00013660631,0.00036872434,0.00012956353,0.00020803175,0.000012059506,0.00070970727,0.0004347318,0.99661416],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997191,0.000015863123,0.0000061516957,0.000065465516,0.00013405622,0.000059270373],"domain_scores_gemma":[0.9994823,0.000021164595,0.000013448802,0.00005162892,0.0001694944,0.00026193238],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00051395525,0.00078800076,0.00046048363,0.0010545618,0.0029115954,0.0037693707,0.00075456884,0.00086691434,0.65629196],"category_scores_gemma":[0.0008106399,0.00035340743,0.0004394333,0.0009875275,0.00042562242,0.0016377011,0.0022833974,0.0011041536,0.38224638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029947083,0.000008246286,0.00005512862,0.000015608606,6.728249e-7,0.000034938173,0.000038823466,0.000012537622,0.00021201109,0.000682953,0.97806734,0.020841692],"study_design_scores_gemma":[0.0000030994574,0.0000061228725,0.00040927905,0.00000897627,4.935226e-7,0.00003154914,0.00004795329,0.000019754398,0.00007478909,0.00008131173,0.9993144,0.0000021248106],"about_ca_topic_score_codex":0.02601891,"about_ca_topic_score_gemma":0.12343469,"teacher_disagreement_score":0.34370804,"about_ca_system_score_codex":0.0016163405,"about_ca_system_score_gemma":0.0012133694,"threshold_uncertainty_score":0.4902578},"labels":[],"label_agreement":null},{"id":"W7083876735","doi":"","title":"Legal marijuana industry had banner year in 2018","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legalization; Banner; Supreme court; Cannabis; Appeal; Legislation","score_opus":0.010727970364824067,"score_gpt":0.2338836379134885,"score_spread":0.22315566754866445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083876735","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053453404,0.0021032246,0.00071576965,0.00991484,0.007221166,0.00011445872,0.008767347,0.0013653131,0.96445256],"genre_scores_gemma":[0.012453369,0.0017768218,0.00038557715,0.002288766,0.0011352289,0.000049863993,0.005547606,0.000355881,0.97600687],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885166,0.000034285094,0.00003172686,0.00010667047,0.00076799956,0.00020771347],"domain_scores_gemma":[0.9978662,0.000081480655,0.0001187355,0.000105946085,0.0010780488,0.0007495216],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071133947,0.00058735267,0.00035051964,0.0019441062,0.004469801,0.005856473,0.00073312526,0.0014550061,0.26262844],"category_scores_gemma":[0.0020100505,0.00026856476,0.00037098295,0.0013654962,0.00065463735,0.0030361805,0.0022543995,0.002462953,0.11780914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045086024,0.00007675362,0.0010443057,0.00008160599,0.0000024518258,0.000119749704,0.000098961405,0.000029756933,0.00040400997,0.008131254,0.931483,0.058483142],"study_design_scores_gemma":[0.0000028055304,0.000009359102,0.0015574446,0.000030549985,0.0000013530776,0.00004161762,0.00007916299,0.000028356964,0.00031070627,0.00043031675,0.99750406,0.000004282417],"about_ca_topic_score_codex":0.017090691,"about_ca_topic_score_gemma":0.048527498,"teacher_disagreement_score":0.73737156,"about_ca_system_score_codex":0.002430944,"about_ca_system_score_gemma":0.0032642453,"threshold_uncertainty_score":0.8785796},"labels":[],"label_agreement":null},{"id":"W7083876837","doi":"","title":"Toyota investing $750M at 5 U.S. plants, creating 600 jobs","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Automotive industry; General motors; Production (economics); Corporation","score_opus":0.013693921647075495,"score_gpt":0.22841153914286674,"score_spread":0.21471761749579124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083876837","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017384611,0.0010155581,0.0010478469,0.0017225231,0.00079894613,0.0000758816,0.0040683215,0.0023956182,0.98713684],"genre_scores_gemma":[0.005938259,0.0006096239,0.00048698846,0.00028582226,0.00006364384,0.000027551177,0.0030296673,0.0003293084,0.9892292],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963605,0.000022391463,0.000011816837,0.00008691466,0.0001654641,0.000077336685],"domain_scores_gemma":[0.99943227,0.00003578133,0.000022569886,0.000050639963,0.0001912764,0.0002675282],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031987808,0.0011441457,0.00032262685,0.001456583,0.002384793,0.003740545,0.00048286517,0.0011991771,0.63483006],"category_scores_gemma":[0.0007324748,0.00054033444,0.0005303566,0.0011024337,0.0005388765,0.0024303487,0.0018024747,0.0013118071,0.3363068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006362314,0.000051705567,0.00035736742,0.000090896894,0.000003622782,0.000055951958,0.0000298217,0.00006798164,0.00076470524,0.0025125218,0.94439536,0.05160644],"study_design_scores_gemma":[0.000012032259,0.000023955952,0.0010888014,0.000041334228,0.0000049922273,0.000057648373,0.00008412768,0.00015171197,0.0004427878,0.00046584138,0.99761766,0.00000916924],"about_ca_topic_score_codex":0.020012291,"about_ca_topic_score_gemma":0.05948741,"teacher_disagreement_score":0.36516994,"about_ca_system_score_codex":0.001802081,"about_ca_system_score_gemma":0.0015639613,"threshold_uncertainty_score":0.52087057},"labels":[],"label_agreement":null},{"id":"W7083879257","doi":"","title":"News Espresso: Pittsburgh funerals, Lion Air jet search, UK-Canada committee wants Zuckerberg to testify","year":2018,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Head (geology); Steering committee; Jet (fluid); Aviation","score_opus":0.013183705457949692,"score_gpt":0.23705788797710323,"score_spread":0.22387418251915353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083879257","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015080771,0.0016395897,0.00019838722,0.015524589,0.009308244,0.00016380244,0.007539196,0.0014108141,0.9627072],"genre_scores_gemma":[0.0018860818,0.000427174,0.00007103865,0.0013207928,0.00061168644,0.000026718113,0.0015702853,0.00021023783,0.99387604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945086,0.000019139574,0.00001149144,0.000049639635,0.0003330095,0.00013595964],"domain_scores_gemma":[0.99808335,0.000098167075,0.000051646515,0.00009735614,0.0008108468,0.000858649],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047067946,0.0010270738,0.00047039756,0.001404829,0.0064124158,0.006380909,0.0007744506,0.0030211248,0.5325217],"category_scores_gemma":[0.002117883,0.00039574926,0.000353731,0.0015104085,0.0009978157,0.0020492997,0.0016264459,0.0027710353,0.29347926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009450882,0.0000060191937,0.000087299195,0.000012451773,4.8484895e-7,0.000039136114,0.000023447015,0.000006593452,0.000030813055,0.00019358701,0.9964057,0.0031850527],"study_design_scores_gemma":[0.0000038263242,0.000004182484,0.0007488737,0.000021980162,8.939262e-7,0.000019565565,0.00012037711,0.000024017492,0.00006303049,0.000038228285,0.9989518,0.000003089593],"about_ca_topic_score_codex":0.24818905,"about_ca_topic_score_gemma":0.5822214,"teacher_disagreement_score":0.46747828,"about_ca_system_score_codex":0.005255859,"about_ca_system_score_gemma":0.006052572,"threshold_uncertainty_score":0.666801},"labels":[],"label_agreement":null},{"id":"W7084031818","doi":"10.1155/atr/6761411","title":"Analyzing Fleet Efficiency and Passenger Delay in Demand‐Responsive Transit: A Dual‐Model Approach With CVRPTW and TAMOS","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Western Michigan University","keywords":"Scalability; Vehicle routing problem; Service (business); Pickup; Routing (electronic design automation); Public transport; Transit (satellite); Service level; Sensitivity (control systems)","score_opus":0.004825466090994467,"score_gpt":0.22794400012267632,"score_spread":0.22311853403168186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084031818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47029117,0.00036625817,0.49991864,0.00052644114,0.00011197115,0.00014946803,0.00081942155,0.00079766207,0.027019009],"genre_scores_gemma":[0.9610998,0.00010689864,0.03546723,0.000051711388,0.00001538591,0.00007244196,0.00037131622,0.000114413044,0.0027007584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971455,0.00010283901,0.000008197863,0.00005027982,0.000053954052,0.000070063],"domain_scores_gemma":[0.99948716,0.00028851087,0.000065856104,0.000046027923,0.000065095934,0.00004735961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006028891,0.00091380975,0.0005435764,0.00072543736,0.00025466626,0.001077148,0.0010824966,0.0008297327,0.0021309715],"category_scores_gemma":[0.00153861,0.0006289815,0.00090354064,0.000534922,0.0004224229,0.00093126233,0.0008757468,0.00081544096,0.00020764458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020481515,0.000017573955,0.00031707043,0.000009908711,0.000008778314,0.000011834714,0.0000055502314,0.99667764,0.00028169996,0.001212303,0.00009545737,0.0013417249],"study_design_scores_gemma":[0.0000025287047,0.000008516192,0.000053191947,0.000001035467,0.0000027673402,0.0000025627564,0.0000052323076,0.9994097,0.0001093276,0.00028749785,0.0001162566,0.0000014729773],"about_ca_topic_score_codex":0.022729496,"about_ca_topic_score_gemma":0.012703311,"teacher_disagreement_score":0.022729496,"about_ca_system_score_codex":0.0011861732,"about_ca_system_score_gemma":0.001410769,"threshold_uncertainty_score":0.045194387},"labels":[],"label_agreement":null},{"id":"W7084035064","doi":"10.6084/m9.figshare.29993044","title":"Additional file 1 of The impact of vanishing white matter on unaffected family members","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"White (mutation); Race (biology); Field (mathematics); Feature (linguistics)","score_opus":0.012252329962154845,"score_gpt":0.27154592743921213,"score_spread":0.25929359747705727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084035064","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008468392,0.000042683085,0.0005085544,0.00025522202,0.00004575442,0.00018815623,0.99565095,0.00015157816,0.0023103138],"genre_scores_gemma":[0.04153352,0.0005251393,0.0066219647,0.001849933,0.0003382004,0.005210158,0.9139768,0.0009275471,0.029016834],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99941003,0.00013173025,0.00010276318,0.0001583183,0.00011418496,0.00008291896],"domain_scores_gemma":[0.9747226,0.019720621,0.0014253428,0.0013195858,0.0021888472,0.00062294636],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012905445,0.00096776296,0.0011821897,0.0018055593,0.0013496759,0.0011939423,0.0018396177,0.0013391153,0.84970945],"category_scores_gemma":[0.039164063,0.0004254569,0.00073780457,0.0023551784,0.0002801295,0.0012316246,0.0008605156,0.0008827758,0.080033414],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005272388,0.00014006191,0.0055692857,0.0016794762,0.00007046799,0.000395487,0.00013561975,0.00033371127,0.000107148684,0.0012606545,0.97624594,0.013534952],"study_design_scores_gemma":[0.010405577,0.00090647116,0.113582246,0.012791883,0.0007005532,0.009428569,0.0017883332,0.0036629725,0.0017382798,0.04566813,0.7989167,0.0004103027],"about_ca_topic_score_codex":0.010027974,"about_ca_topic_score_gemma":0.0121570835,"teacher_disagreement_score":0.84970945,"about_ca_system_score_codex":0.00080781564,"about_ca_system_score_gemma":0.0016635504,"threshold_uncertainty_score":0.21437126},"labels":[],"label_agreement":null},{"id":"W7084047667","doi":"10.6084/m9.figshare.29959147.v1","title":"Strategic regional path development: industrial policy, place and the rhetoric of regionalisation","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Regionalisation; Rhetoric; Geopolitics; Politics; Government (linguistics); Path dependency; Path dependence; Strategic planning; Industrial policy","score_opus":0.06707578964480554,"score_gpt":0.26217136276321995,"score_spread":0.1950955731184144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084047667","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050064966,0.007414685,0.09960132,0.09322527,0.00067660236,0.00008965521,0.00008862159,0.0002827854,0.74855614],"genre_scores_gemma":[0.9728127,0.0014640982,0.007605551,0.0020820466,0.000099811085,0.00006901037,0.000026128513,0.00012822829,0.015712397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953967,0.0033483263,0.000088139146,0.0004058058,0.0003909883,0.0003700488],"domain_scores_gemma":[0.9947261,0.0037025176,0.00030882025,0.00056128495,0.0004889572,0.00021243334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00863785,0.00049823115,0.00031786406,0.0016036691,0.0070067444,0.0079382835,0.0014962971,0.0031195101,0.0054145213],"category_scores_gemma":[0.009625648,0.00032898327,0.00034982292,0.0016486014,0.045423146,0.007059018,0.0051119104,0.0041326922,0.00062381476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056004515,0.0000018149125,0.00007262478,0.000027612725,0.000001245544,0.000031363823,0.009812308,0.00027724222,0.000077777906,0.9845205,0.0012896811,0.0038823823],"study_design_scores_gemma":[0.000025250203,0.000027654305,0.0006157689,0.00044904707,0.000014140124,0.00017276155,0.026374307,0.0019861346,0.0010181953,0.5070956,0.4621891,0.000032045613],"about_ca_topic_score_codex":0.032037526,"about_ca_topic_score_gemma":0.04042319,"teacher_disagreement_score":0.032037526,"about_ca_system_score_codex":0.015199195,"about_ca_system_score_gemma":0.007777743,"threshold_uncertainty_score":0.11027837},"labels":[],"label_agreement":null},{"id":"W7084054732","doi":"10.6084/m9.figshare.c.8008234.v1","title":"‘There has to be some chemistry there’: an interpretive description exploring the experiences, motivations and dynamics of partnered child health research","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"George & Fay Yee Centre for Healthcare Innovation; University of Alberta; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"","keywords":"General partnership; Relevance (law); Dynamics (music); Qualitative research; Theme (computing); Equity (law); Power (physics); Quality (philosophy)","score_opus":0.16427937281948207,"score_gpt":0.3417675680614594,"score_spread":0.17748819524197734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084054732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8801268,0.005125888,0.04126201,0.0248578,0.0006570128,0.0007114766,0.0004383997,0.00018468621,0.046635985],"genre_scores_gemma":[0.985076,0.00162945,0.006255504,0.001990383,0.00008593762,0.0004207203,0.00012057437,0.0001491999,0.0042721587],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9585689,0.03424169,0.00093252305,0.0014530875,0.0025495125,0.0022542311],"domain_scores_gemma":[0.96917766,0.023622647,0.00177254,0.0013515041,0.0022463726,0.0018293203],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.027740551,0.001183596,0.00096746883,0.0036071711,0.01953608,0.013072785,0.0031801807,0.0032363383,0.002568304],"category_scores_gemma":[0.03532342,0.0009843276,0.0009286737,0.0031830221,0.031651232,0.010966537,0.013856167,0.0052982653,0.00037353256],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075974935,0.0000039546912,0.00056485314,0.000057424008,0.0000022526833,0.00061505294,0.99307853,0.00001549401,0.00021059248,0.0037800185,0.00030552578,0.0013587363],"study_design_scores_gemma":[0.000001785659,0.000008133129,0.0003419292,0.00018471696,0.0000041615017,0.00052825484,0.98216575,0.00008145592,0.00015501889,0.0009486794,0.015568108,0.000012002357],"about_ca_topic_score_codex":0.026258046,"about_ca_topic_score_gemma":0.040253587,"teacher_disagreement_score":0.97225946,"about_ca_system_score_codex":0.013901235,"about_ca_system_score_gemma":0.009811517,"threshold_uncertainty_score":0.14670783},"labels":[],"label_agreement":null},{"id":"W7084059992","doi":"10.64628/aap.htp3prg53","title":"L'intelligence artificielle dans nos vies, au travail: s'adapter ou périr?","year":2019,"lang":"fr","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Identification (biology); Context (archaeology); Work (physics); Component (thermodynamics)","score_opus":0.025631686298818727,"score_gpt":0.24608176982555782,"score_spread":0.2204500835267391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084059992","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041896485,0.011822649,0.6358376,0.1026199,0.0030772747,0.00013696916,0.00032880952,0.0032839964,0.20099625],"genre_scores_gemma":[0.44844314,0.009150432,0.4516644,0.011245903,0.002112311,0.00018639088,0.000578154,0.0011208139,0.07549849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938834,0.0023355677,0.00030040878,0.00094906526,0.0021614463,0.0003700889],"domain_scores_gemma":[0.99205375,0.003536642,0.00038587855,0.002465442,0.0012136077,0.0003447184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007932405,0.001030323,0.0009975604,0.0014341903,0.002129595,0.013069063,0.0024458312,0.0056534526,0.010303704],"category_scores_gemma":[0.022744175,0.0005967299,0.00075646344,0.0013073967,0.009680451,0.01616786,0.0056568445,0.004657426,0.004963646],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014919549,0.00016841342,0.002695381,0.0004963408,0.00006807834,0.00040158065,0.0050539016,0.004569596,0.0046105934,0.6900017,0.030994048,0.26079115],"study_design_scores_gemma":[0.000027821574,0.00007289575,0.0013429702,0.00045967373,0.000038499624,0.00090328255,0.004284244,0.024091057,0.004449268,0.5329935,0.4312447,0.0000921349],"about_ca_topic_score_codex":0.0037223399,"about_ca_topic_score_gemma":0.0030078655,"teacher_disagreement_score":0.013069063,"about_ca_system_score_codex":0.001160952,"about_ca_system_score_gemma":0.0020428202,"threshold_uncertainty_score":0.04195112},"labels":[],"label_agreement":null},{"id":"W7084063507","doi":"10.64628/aam.uvna5w3ye","title":"Demonizing foreign students sidesteps solutions to Canada’s problems","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Field (mathematics); Calculus (dental); Set (abstract data type); Class (philosophy); Algebra over a field","score_opus":0.014800023368309503,"score_gpt":0.24628149397417584,"score_spread":0.23148147060586632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084063507","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030519005,0.0037143468,0.005129862,0.66290206,0.014912941,0.000101965685,0.00030160625,0.0004166791,0.28200155],"genre_scores_gemma":[0.26845592,0.0035515202,0.008486719,0.12789775,0.001287321,0.00007700045,0.00026599114,0.000428596,0.58954924],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99474454,0.0005120181,0.00010150297,0.00042858193,0.0017779218,0.002435407],"domain_scores_gemma":[0.98635256,0.0009253344,0.00019987136,0.0003530265,0.004852437,0.0073167905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035940858,0.00073037285,0.00045497506,0.0020200403,0.0219601,0.01223168,0.0019156457,0.0068168263,0.043253597],"category_scores_gemma":[0.01024868,0.0003631323,0.0006540776,0.0016727464,0.0067810463,0.0033380142,0.0065372796,0.010484856,0.0051911287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083452454,0.00011102121,0.0040645055,0.00008954969,0.000018665209,0.0005049048,0.0059179757,0.0005303683,0.0008173814,0.22527881,0.69100654,0.071576916],"study_design_scores_gemma":[0.00002310806,0.00002578606,0.0013896435,0.00013810031,0.000009691071,0.00013519243,0.008769794,0.0004014078,0.00040898734,0.012055196,0.9766117,0.000031414645],"about_ca_topic_score_codex":0.8751526,"about_ca_topic_score_gemma":0.94025457,"teacher_disagreement_score":0.12484741,"about_ca_system_score_codex":0.04105761,"about_ca_system_score_gemma":0.18099254,"threshold_uncertainty_score":0.2978952},"labels":[],"label_agreement":null},{"id":"W7084076083","doi":"10.64628/aap.s59jcqvhp","title":"Au-delà de l’écran : quand le numérique devient un espace d’intervention en santé mentale","year":2025,"lang":"fr","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Identity (music); Perspective (graphical); Context (archaeology); Consumption (sociology)","score_opus":0.011201836387085749,"score_gpt":0.27286255666892223,"score_spread":0.26166072028183646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084076083","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15354162,0.021687428,0.014994069,0.51610136,0.005786872,0.0001259214,0.00031004372,0.00017004507,0.28728265],"genre_scores_gemma":[0.9128825,0.0063917534,0.011982934,0.032562476,0.0011749621,0.00023531455,0.00010571427,0.00013834024,0.034525942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99165714,0.005136214,0.0002872647,0.00064693205,0.0015196998,0.0007528062],"domain_scores_gemma":[0.9815154,0.011975591,0.0014165092,0.0010345958,0.002290796,0.0017671142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012733201,0.00040571202,0.000598584,0.0009833159,0.0025919322,0.006761894,0.0011985507,0.0037179568,0.016131707],"category_scores_gemma":[0.06115863,0.0001986623,0.0004923586,0.00076135737,0.009246789,0.0075525395,0.003953334,0.0051512104,0.0012503148],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009075486,0.0004415956,0.021444228,0.0008052156,0.0001638507,0.0012377664,0.023227947,0.001284383,0.0009028412,0.6251069,0.03987823,0.2845996],"study_design_scores_gemma":[0.0003242657,0.00059187843,0.04544537,0.006154139,0.00023690685,0.0027129028,0.036826685,0.0034208368,0.0014471879,0.38443112,0.5182763,0.00013249571],"about_ca_topic_score_codex":0.030147782,"about_ca_topic_score_gemma":0.03474993,"teacher_disagreement_score":0.030147782,"about_ca_system_score_codex":0.0071862047,"about_ca_system_score_gemma":0.012188339,"threshold_uncertainty_score":0.06734043},"labels":[],"label_agreement":null},{"id":"W7084080204","doi":"10.64628/aam.v5mayhd7u","title":"How soil carbon can help tackle climate change","year":2019,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"","score_opus":0.013647196969060648,"score_gpt":0.20703173948428094,"score_spread":0.1933845425152203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084080204","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21072882,0.022107145,0.41070947,0.12023004,0.008077987,0.00011604002,0.0029232474,0.004568578,0.22053875],"genre_scores_gemma":[0.9131729,0.008379276,0.062146973,0.0023592464,0.00077783887,0.000040459316,0.0005748402,0.00043219165,0.01211644],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997621,0.000050626637,0.000007398796,0.000051059484,0.0000826817,0.00004611142],"domain_scores_gemma":[0.99937755,0.00020688017,0.000057271478,0.0000950636,0.00017854676,0.00008468681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063537346,0.00060120015,0.00028753697,0.0009796405,0.00063457433,0.0024355878,0.00077463983,0.0025251291,0.01080573],"category_scores_gemma":[0.0023991284,0.00020254905,0.000414311,0.0012720544,0.0012573358,0.0032330898,0.0011696105,0.0011253329,0.0011005831],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023679377,0.00021220461,0.015467776,0.000630499,0.00039589405,0.00050332956,0.0003092315,0.15515108,0.028552208,0.26088545,0.049980782,0.4876747],"study_design_scores_gemma":[0.000053815733,0.00006600996,0.0088034235,0.00021604724,0.00016102903,0.00029114657,0.00096580293,0.16965598,0.016624708,0.59388787,0.20914143,0.00013285041],"about_ca_topic_score_codex":0.009172708,"about_ca_topic_score_gemma":0.013388988,"teacher_disagreement_score":0.01080573,"about_ca_system_score_codex":0.00088087015,"about_ca_system_score_gemma":0.0014131718,"threshold_uncertainty_score":0.036148727},"labels":[],"label_agreement":null},{"id":"W7084105374","doi":"10.64628/aam.9u7vp9tay","title":"The legal conflict between equality rights and freedom of religion","year":2019,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Freedom of religion; Human rights; Legislation; Religious freedom; Action (physics); Social equality","score_opus":0.013134917244542075,"score_gpt":0.25113453974138283,"score_spread":0.23799962249684076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084105374","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04866762,0.0032913457,0.023649653,0.15130179,0.0013685427,0.00009666998,0.00023683999,0.00006559014,0.77132183],"genre_scores_gemma":[0.949988,0.00081789837,0.0055407304,0.016024435,0.001165944,0.00020070278,0.000066136105,0.00008782265,0.026108304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9842322,0.0071534067,0.0007827814,0.002193707,0.0033662692,0.0022716012],"domain_scores_gemma":[0.9804864,0.012311053,0.001202702,0.003002911,0.0016758088,0.0013212324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017655054,0.0003249237,0.0011613623,0.0011562658,0.009765008,0.010780732,0.002644398,0.01323899,0.011946579],"category_scores_gemma":[0.031389505,0.00084588636,0.00072343426,0.0013599958,0.052932665,0.012358708,0.008281759,0.018256636,0.0013766238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007447435,0.0000068647864,0.000061800114,0.0000062605177,0.0000020128482,0.000017276268,0.000659343,0.000030181882,0.000051070718,0.9961444,0.0015803268,0.0014329087],"study_design_scores_gemma":[0.000041591684,0.000013966495,0.00040944543,0.00015002502,0.000009709117,0.00014743183,0.0010535701,0.00029625965,0.00025022644,0.95297444,0.044627797,0.000025520781],"about_ca_topic_score_codex":0.007967831,"about_ca_topic_score_gemma":0.009689602,"teacher_disagreement_score":0.017655054,"about_ca_system_score_codex":0.0051742024,"about_ca_system_score_gemma":0.0059004785,"threshold_uncertainty_score":0.09337002},"labels":[],"label_agreement":null},{"id":"W7084112403","doi":"10.64628/aam.6kp4r5wa6","title":"The increasingly bleak outlook for Canadian grocery stores","year":2018,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Government (linguistics); Clothing; Product (mathematics)","score_opus":0.009341655320335285,"score_gpt":0.2283548959558077,"score_spread":0.21901324063547242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084112403","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04054866,0.029179871,0.002388855,0.53383327,0.017103788,0.00007192874,0.01680786,0.00082334183,0.3592425],"genre_scores_gemma":[0.2535355,0.049572576,0.008488245,0.07998707,0.0032925827,0.00006555936,0.011538246,0.0007500919,0.5927701],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767023,0.00009150003,0.000032215517,0.00021632675,0.0012152243,0.00077450013],"domain_scores_gemma":[0.9965641,0.00010216192,0.000091100184,0.000047380796,0.0013485258,0.0018467907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015355772,0.0009077823,0.0005807165,0.0019240846,0.009197943,0.00827256,0.0023099356,0.0055780765,0.16480754],"category_scores_gemma":[0.002542932,0.00039289988,0.00079409714,0.0038043116,0.0028787286,0.003160644,0.0028379422,0.004683374,0.01621443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014258739,0.00007205361,0.0040395064,0.00024544942,0.000017718898,0.00052946224,0.00055746484,0.000631134,0.0008865344,0.030496942,0.8997732,0.062608026],"study_design_scores_gemma":[0.000008499921,0.000017836106,0.007810067,0.00023598365,0.000007936817,0.00023641073,0.0033318468,0.0002562563,0.000109301815,0.0025515684,0.9853902,0.000044160955],"about_ca_topic_score_codex":0.9059828,"about_ca_topic_score_gemma":0.97393644,"teacher_disagreement_score":0.16480754,"about_ca_system_score_codex":0.031874742,"about_ca_system_score_gemma":0.054650147,"threshold_uncertainty_score":0.55133617},"labels":[],"label_agreement":null},{"id":"W7084112905","doi":"10.5703/1288284317987","title":"IN-SITU STABILIZATION OF CACO3 POLYMORPHS IN CEMENTITIOUS SYSTEMS","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CarbonCure Technologies (Canada)","funders":"","keywords":"Metastability; Dissolution; Cementitious; Ion; Hydrate; Carbonate; Cement; Amorphous solid","score_opus":0.005715599501181725,"score_gpt":0.2352424707255105,"score_spread":0.22952687122432877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084112905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993737,0.0007297344,0.0042841746,0.00003370511,0.000017087681,0.00002736717,0.000113311486,0.000096723954,0.00096091954],"genre_scores_gemma":[0.99461645,0.00030858722,0.0039480506,0.0000150889255,0.0000046946398,0.000017330516,0.00008800214,0.000030147603,0.00097162795],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998785,0.000015168146,0.00000941429,0.000030470641,0.000040697654,0.000025789635],"domain_scores_gemma":[0.99986136,0.000025369423,0.000048607686,0.000014991975,0.000030619405,0.000019025916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018131694,0.0002325183,0.00019344488,0.00020041282,0.00019939215,0.00031670913,0.00018276629,0.00020434569,0.0007198632],"category_scores_gemma":[0.00021631768,0.00013435376,0.00013536362,0.0001855885,0.00017625742,0.0002536362,0.00017665415,0.0003288171,0.00013441578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024818748,0.000005795683,0.00006233295,0.000018001896,0.0000014253151,0.000011282049,0.000009265681,0.000064216794,0.9993481,0.000014086164,0.0000084336425,0.00043219017],"study_design_scores_gemma":[0.0000019774852,0.000055872937,0.0005221819,0.0000010002875,0.0000027615397,0.000017291915,0.000007233347,0.00045288083,0.998453,0.0000053721487,0.00047860717,0.0000017638392],"about_ca_topic_score_codex":0.0009986383,"about_ca_topic_score_gemma":0.0031163474,"teacher_disagreement_score":0.0009986383,"about_ca_system_score_codex":0.00026967988,"about_ca_system_score_gemma":0.00017030933,"threshold_uncertainty_score":0.0024082065},"labels":[],"label_agreement":null},{"id":"W7084117167","doi":"10.64628/aak.yhe4fstum","title":"Les marques peuvent-elles échapper à leur passé ?","year":2025,"lang":"fr","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Baptist Seminary and Bible College; Toronto Metropolitan University","funders":"","keywords":"","score_opus":0.03596832862615077,"score_gpt":0.301444150414266,"score_spread":0.2654758217881152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084117167","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19751789,0.03555983,0.08643728,0.12914106,0.011521943,0.000088746594,0.000675266,0.0018420394,0.5372159],"genre_scores_gemma":[0.58200526,0.012630229,0.029596502,0.006348224,0.0023001006,0.00004361379,0.00029326367,0.00079875696,0.36598396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990771,0.00022407144,0.000030495821,0.00016481028,0.00031302767,0.00019059108],"domain_scores_gemma":[0.9989033,0.00023713101,0.00014105074,0.00016942351,0.00041076358,0.00013822314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014294289,0.0007511371,0.0007203295,0.0007429676,0.0023629542,0.007295046,0.000833517,0.0033686738,0.032963034],"category_scores_gemma":[0.0054324437,0.0005020902,0.0005445497,0.0007010805,0.0024920995,0.006151715,0.0012211923,0.0025181163,0.013884362],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050659815,0.00015500026,0.010904406,0.00044589824,0.00013750995,0.005004205,0.006071189,0.002776093,0.016134314,0.45857495,0.082489714,0.4168001],"study_design_scores_gemma":[0.000023639479,0.000083697254,0.005568016,0.0003120821,0.000050780443,0.0064934073,0.011574138,0.003337358,0.00851502,0.09760258,0.8663225,0.00011680087],"about_ca_topic_score_codex":0.006233633,"about_ca_topic_score_gemma":0.0065110615,"teacher_disagreement_score":0.032963034,"about_ca_system_score_codex":0.0012769228,"about_ca_system_score_gemma":0.0011036441,"threshold_uncertainty_score":0.11027235},"labels":[],"label_agreement":null},{"id":"W7084131982","doi":"10.1115/fedsm2025-158120","title":"Dynamics of Separated Flow Over a Rectangular Prism With Chord-to-Thickness Ratio of 6 at Moderate Reynolds Numbers","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reynolds number; Strouhal number; Prism; Flow (mathematics); Hele-Shaw flow; Particle image velocimetry; Flow visualization; Magnetic Reynolds number","score_opus":0.004314672202244995,"score_gpt":0.23031613262214928,"score_spread":0.2260014604199043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084131982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374604,0.00008982361,0.0054436424,0.000021427531,0.0000122365145,0.000010358002,0.000060934573,0.000060705228,0.000554873],"genre_scores_gemma":[0.99445444,0.00005793789,0.005020925,0.000009676411,0.0000025402294,0.000006115572,0.00006895771,0.000008706698,0.00037083344],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989796,0.000011097553,0.000004920552,0.000025315056,0.000029892555,0.00003079777],"domain_scores_gemma":[0.99980277,0.000048989605,0.00004597379,0.000017048567,0.000036175723,0.000049010116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022291101,0.0002603326,0.000260344,0.00028949272,0.00027112672,0.0003700014,0.00022754875,0.00021852588,0.00061297533],"category_scores_gemma":[0.00036061995,0.00015591663,0.00022358685,0.0002350094,0.00046782658,0.00025322736,0.00027321195,0.00037352505,0.000086959975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045489293,0.000094161616,0.0033087821,0.000065064,0.000023375529,0.0004099084,0.00017240415,0.049065396,0.93984455,0.0010254178,0.000133121,0.005402881],"study_design_scores_gemma":[0.000105401035,0.0010734077,0.02984229,0.00003282882,0.000044616667,0.00034170784,0.00039114724,0.49721125,0.46857935,0.00077482697,0.0015158206,0.00008743504],"about_ca_topic_score_codex":0.0015675976,"about_ca_topic_score_gemma":0.00093224907,"teacher_disagreement_score":0.0015675976,"about_ca_system_score_codex":0.00035576627,"about_ca_system_score_gemma":0.0005712914,"threshold_uncertainty_score":0.0031169653},"labels":[],"label_agreement":null},{"id":"W7084132694","doi":"10.22442/jlumhs.2025.01335","title":"Relationship between Body Mass Index and Occupation with Low Back Pain","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Low back pain; Body mass index; Incidence (geometry); Population; Sports medicine; Cross-sectional study; Anthropometry","score_opus":0.12336141669315909,"score_gpt":0.48282127503555283,"score_spread":0.35945985834239375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084132694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998459,0.00054063083,0.000053494638,0.000099487916,0.00001006199,0.000007193353,0.00013706085,0.0000022195993,0.00069078134],"genre_scores_gemma":[0.9993825,0.00017840059,0.00007672847,0.000026798894,0.000014725082,0.000006052228,0.00010943081,7.8561595e-7,0.00020441988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964094,0.00006451396,0.000041373325,0.000047653753,0.00013168846,0.00007383693],"domain_scores_gemma":[0.9989178,0.00022094404,0.0005600308,0.000029378152,0.000112076355,0.00015979474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002967935,0.00013999376,0.0002080203,0.00068070577,0.00027948606,0.00038603914,0.00014929574,0.00020813558,0.0032918262],"category_scores_gemma":[0.001798446,0.00012325546,0.00016336156,0.0006771288,0.00015133602,0.00014743992,0.00025558038,0.0003379269,0.00030370336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003819531,0.00004228073,0.99844426,0.00001511842,0.000012834851,0.00005538644,0.00004166129,0.000013506055,0.00011624292,0.000005827592,0.00005213709,0.0011626093],"study_design_scores_gemma":[0.000001528355,0.000047410165,0.99947256,0.0000072689063,0.0000063165885,0.00021432247,0.00008355357,0.000043433134,0.000017364895,0.0000061868454,0.00009907122,9.627418e-7],"about_ca_topic_score_codex":0.0034494905,"about_ca_topic_score_gemma":0.0055165654,"teacher_disagreement_score":0.0034494905,"about_ca_system_score_codex":0.00017542129,"about_ca_system_score_gemma":0.00030360837,"threshold_uncertainty_score":0.011012197},"labels":[],"label_agreement":null},{"id":"W7084139408","doi":"10.64628/aam.3rkaxe9tw","title":"Forget smart cities (for a minute), we need to talk about smart farms","year":2019,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Queen's University","funders":"","keywords":"Smart city; Work (physics); Government (linguistics); Key (lock)","score_opus":0.011851125564909257,"score_gpt":0.2291674012348503,"score_spread":0.21731627566994105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084139408","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053895046,0.073584154,0.03755041,0.43474102,0.29396382,0.00014536903,0.002014754,0.0050780727,0.14753291],"genre_scores_gemma":[0.04051888,0.032652047,0.025975607,0.16079284,0.09787685,0.00015974462,0.002097581,0.0043109134,0.6356155],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897015,0.00022827146,0.00005131068,0.0001880102,0.00042984897,0.00013230012],"domain_scores_gemma":[0.9973521,0.0005395121,0.00011619275,0.00024153935,0.00092505885,0.0008255546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016006274,0.0018864027,0.0011329477,0.001309067,0.0028195463,0.0051411353,0.0009467671,0.0036999825,0.07969697],"category_scores_gemma":[0.006735687,0.00045918423,0.0009911465,0.0010864452,0.002621901,0.008706321,0.0026643341,0.008271355,0.048894264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058288686,0.000021417214,0.00035235262,0.00015836624,0.000014927406,0.00012760935,0.00058406516,0.000118409196,0.0009919184,0.004574805,0.952945,0.040052876],"study_design_scores_gemma":[0.000005306843,0.000026286581,0.00048755185,0.00014517568,0.000006011595,0.00029512987,0.001170153,0.00009717112,0.00020515017,0.0044322624,0.9931075,0.000022410335],"about_ca_topic_score_codex":0.0023621137,"about_ca_topic_score_gemma":0.0043942365,"teacher_disagreement_score":0.07969697,"about_ca_system_score_codex":0.001205155,"about_ca_system_score_gemma":0.0008606969,"threshold_uncertainty_score":0.26661295},"labels":[],"label_agreement":null},{"id":"W7084141877","doi":"10.6084/m9.figshare.30073387","title":"An assessment of Alberta's strategy for controlling mountain pine beetle outbreaks","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mountain pine beetle; Outbreak; Dendroctonus; Bark beetle; Foothills","score_opus":0.023016948508299117,"score_gpt":0.3341643948425654,"score_spread":0.3111474463342663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084141877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45676282,0.0032555785,0.017284226,0.022173598,0.001117222,0.0019160162,0.14471407,0.007705898,0.34507057],"genre_scores_gemma":[0.82606614,0.0026560992,0.050053816,0.003485116,0.00009763269,0.00040895745,0.057224013,0.00040618223,0.05960218],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9972817,0.00020522435,0.00006806734,0.000088756744,0.0019131814,0.0004430023],"domain_scores_gemma":[0.993309,0.000650389,0.0003160681,0.00018639094,0.004786007,0.00075221935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002910076,0.000627895,0.00031303722,0.00284064,0.0017849768,0.0023620662,0.002473216,0.0008599189,0.0048869313],"category_scores_gemma":[0.0045488356,0.00030941496,0.0003943637,0.0034662206,0.000654852,0.0005643266,0.00085195806,0.0007179279,0.0006793186],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016538582,0.0003961554,0.1599411,0.0006717147,0.0002281717,0.0008625086,0.0008928288,0.06953844,0.007271628,0.014841131,0.47515363,0.2685489],"study_design_scores_gemma":[0.0006048379,0.00042437887,0.5457655,0.0006518382,0.0004497295,0.00026526628,0.005556933,0.084657624,0.007962271,0.0035190787,0.34984946,0.0002930347],"about_ca_topic_score_codex":0.97974706,"about_ca_topic_score_gemma":0.98607427,"teacher_disagreement_score":0.026739433,"about_ca_system_score_codex":0.026739433,"about_ca_system_score_gemma":0.066536754,"threshold_uncertainty_score":0.19400907},"labels":[],"label_agreement":null},{"id":"W7084156722","doi":"10.82439/ceas-ifasd-2024-237","title":"Topology Optimization of Aeroelastically Scaled Wing Models based on Additive Manufacturing","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Aeroelasticity; Flutter; Topology optimization; Topology (electrical circuits); Aerodynamics; Wind tunnel; Sizing; Scaling","score_opus":0.007625845693985743,"score_gpt":0.22639397720045595,"score_spread":0.2187681315064702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084156722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2454384,0.0003880751,0.73258114,0.00015142316,0.000051846753,0.000107999505,0.00019122724,0.000378295,0.020711556],"genre_scores_gemma":[0.891143,0.00032797258,0.10456501,0.000028524633,0.000011033163,0.0001485406,0.0001577766,0.00014463118,0.0034735224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999874,0.000035872737,0.00000546019,0.000015934213,0.000054263368,0.000014423902],"domain_scores_gemma":[0.9996921,0.00016596027,0.000047722002,0.00003983453,0.00003670828,0.000017825167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031773862,0.0005944757,0.0004959664,0.00047646184,0.00017206042,0.0007383173,0.0004287421,0.00064135436,0.0016271989],"category_scores_gemma":[0.0008418253,0.00036342462,0.000617153,0.00026040408,0.00055244466,0.0003683606,0.00050533615,0.00047457145,0.00025428267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071194654,0.000008659973,0.00010789589,0.000023589848,0.000004994097,0.000027347689,0.000009983111,0.9913482,0.0032460566,0.002197518,0.000049952516,0.0029686743],"study_design_scores_gemma":[0.0000026426446,0.000025530047,0.00007968236,0.0000038956987,0.000002896054,0.0000144744845,0.000006787892,0.99767345,0.00091472006,0.0008422361,0.00043101556,0.0000026229147],"about_ca_topic_score_codex":0.0010682793,"about_ca_topic_score_gemma":0.001311302,"teacher_disagreement_score":0.0016271989,"about_ca_system_score_codex":0.00034887556,"about_ca_system_score_gemma":0.00033753423,"threshold_uncertainty_score":0.005443573},"labels":[],"label_agreement":null},{"id":"W7084157507","doi":"10.64628/aam.avvrm64jk","title":"Trump’s trade war is forcing Canada to revive a decades-old plan to reduce U.S. dependence","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University","funders":"","keywords":"Forcing (mathematics); Plan (archaeology); Trade war; Free trade; Government (linguistics)","score_opus":0.011736061442230139,"score_gpt":0.24795802735303285,"score_spread":0.23622196591080272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084157507","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026781674,0.004709264,0.006992143,0.54525495,0.008523029,0.000111757035,0.0036223424,0.0014066278,0.40259817],"genre_scores_gemma":[0.23769139,0.007075629,0.01125086,0.22560361,0.001450503,0.00010247803,0.0028929831,0.0010804042,0.512852],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99614453,0.00015645685,0.000038248934,0.00015273404,0.0025857433,0.00092226086],"domain_scores_gemma":[0.99268794,0.0004707929,0.00014577058,0.00026756752,0.0048028636,0.0016250991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022834344,0.0005526461,0.00042933432,0.0011891706,0.009216347,0.006117827,0.0017274668,0.004233173,0.039153833],"category_scores_gemma":[0.0075847427,0.00035672076,0.0007283193,0.0017523174,0.003930767,0.0021336502,0.0028806946,0.007436759,0.0068663983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009831452,0.00007705242,0.0039728717,0.000059804534,0.000024382149,0.00016344419,0.00042700834,0.0003560103,0.0011307712,0.06870454,0.8720101,0.052975796],"study_design_scores_gemma":[0.000023159937,0.000032011078,0.004339643,0.000104159764,0.000012650301,0.00007352209,0.000899019,0.00062582456,0.0009450498,0.0058075986,0.98709935,0.000037979924],"about_ca_topic_score_codex":0.9129191,"about_ca_topic_score_gemma":0.9579495,"teacher_disagreement_score":0.087080896,"about_ca_system_score_codex":0.024204917,"about_ca_system_score_gemma":0.08408237,"threshold_uncertainty_score":0.17561978},"labels":[],"label_agreement":null},{"id":"W7084159262","doi":"10.64628/aam.dvjsg33ah","title":"In 2025 and beyond, schools need to teach more than just ‘the basics’","year":2025,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Work (physics); Action (physics); Agency (philosophy)","score_opus":0.00921741138327896,"score_gpt":0.2676302525543772,"score_spread":0.25841284117109825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084159262","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0154429395,0.024815539,0.04175889,0.7092387,0.052194793,0.00033046555,0.0015462775,0.0020553963,0.15261707],"genre_scores_gemma":[0.12623534,0.021964315,0.1272792,0.25069147,0.014325059,0.00048818943,0.0043878946,0.0012704448,0.45335808],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952743,0.0007927646,0.00020124848,0.0005287651,0.0019083073,0.0012946465],"domain_scores_gemma":[0.98553616,0.0010040776,0.0007732817,0.0006048394,0.0037048857,0.008376676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006739149,0.0014860457,0.00080977357,0.0017451057,0.0031441988,0.007193124,0.0017889232,0.0068616588,0.054250672],"category_scores_gemma":[0.0053246766,0.0006124702,0.0009228135,0.0009866758,0.0037174802,0.004612115,0.005197828,0.00826027,0.025408361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001501121,0.00036011636,0.0040092836,0.00081551244,0.000024872683,0.00015584943,0.0013649146,0.0005258356,0.0033596368,0.08490528,0.6767065,0.22762206],"study_design_scores_gemma":[0.000013600798,0.00008354047,0.004752572,0.00032651072,0.000006419516,0.00011439512,0.0008896341,0.00012948271,0.0006924768,0.010302305,0.9826649,0.000024210602],"about_ca_topic_score_codex":0.013260305,"about_ca_topic_score_gemma":0.04716882,"teacher_disagreement_score":0.054250672,"about_ca_system_score_codex":0.0065291557,"about_ca_system_score_gemma":0.028239105,"threshold_uncertainty_score":0.1814866},"labels":[],"label_agreement":null},{"id":"W7084214241","doi":"","title":"Integrating Traditional Chinese Medicine into Maternity Care: Development and Evaluation of a Delphi-Based Training Course to Enhance Nurses&amp;rsquo; Competency &amp;ndash; A Quasi-Experimental Study","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Delphi method; Multidisciplinary approach; Curriculum; Public health; Intervention (counseling); Delphi; Traditional Chinese medicine; Focus group","score_opus":0.23397074000636453,"score_gpt":0.5707012307808752,"score_spread":0.33673049077451067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084214241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96236527,0.00009960351,0.0033368247,0.00020958694,0.00005555217,0.03289456,0.000079772595,0.000021617509,0.00093729544],"genre_scores_gemma":[0.8366531,0.0005844264,0.033823058,0.00043337067,0.000053019812,0.12689644,0.00021043583,0.000014417095,0.0013317057],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9852181,0.0102672735,0.0010371596,0.0008799225,0.0014475931,0.0011500276],"domain_scores_gemma":[0.984714,0.009874834,0.0011836624,0.00075556117,0.0022240179,0.0012480376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033722393,0.0013781637,0.0022207482,0.0014691883,0.0025703532,0.0013422641,0.0016790159,0.001230496,0.0029272523],"category_scores_gemma":[0.028525176,0.0013529146,0.0020326115,0.0010216658,0.0016992633,0.0020176375,0.00253118,0.0019653824,0.00029330654],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018435244,0.2063011,0.06929477,0.01588148,0.00092514243,0.0009074493,0.28558433,0.0050640977,0.011480241,0.005366698,0.004053077,0.37670636],"study_design_scores_gemma":[0.050547104,0.29115894,0.27138302,0.006856864,0.0025394228,0.0004686162,0.2881028,0.034968294,0.017799944,0.0065280623,0.028566228,0.0010807342],"about_ca_topic_score_codex":0.0020287037,"about_ca_topic_score_gemma":0.0032759348,"teacher_disagreement_score":0.033722393,"about_ca_system_score_codex":0.0040846136,"about_ca_system_score_gemma":0.008518578,"threshold_uncertainty_score":0.17834318},"labels":[],"label_agreement":null},{"id":"W7084218003","doi":"","title":"Understanding the urban heat island in Montreal, Quebec through local climate zone classification and crowd sourced demographic data","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban heat island; Climate change; Population; Urban climate; Urbanization","score_opus":0.050420303841601656,"score_gpt":0.2589663616798574,"score_spread":0.20854605783825578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084218003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94284266,0.0011652587,0.003313581,0.0018624013,0.000058782764,0.00015076138,0.030962193,0.00027647958,0.01936784],"genre_scores_gemma":[0.9713955,0.0006787686,0.0041593793,0.0002173148,0.000028238093,0.00007137771,0.011946419,0.00006707055,0.0114359325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998803,0.000010620605,0.000003047934,0.000029971268,0.000026188267,0.000049719587],"domain_scores_gemma":[0.999752,0.000026625681,0.000024226065,0.000011123056,0.00012695644,0.000059115162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019003823,0.0002922553,0.00018789127,0.001465424,0.0012748733,0.0015093086,0.0005672078,0.0003347327,0.0042190645],"category_scores_gemma":[0.0006516038,0.00014314926,0.00026910994,0.0023588212,0.00040372278,0.00041492024,0.00048572404,0.00046628187,0.0006730433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009047911,0.00014140397,0.80968875,0.000121123514,0.00018993209,0.000318933,0.0026613676,0.014717007,0.0030454355,0.0016353797,0.044116132,0.12327395],"study_design_scores_gemma":[0.00000660827,0.000010499733,0.9603436,0.0000818091,0.000034688648,0.000025122728,0.0046168636,0.020629734,0.00028583058,0.00026382974,0.013669711,0.00003185347],"about_ca_topic_score_codex":0.99472445,"about_ca_topic_score_gemma":0.99815494,"teacher_disagreement_score":0.009988548,"about_ca_system_score_codex":0.009988548,"about_ca_system_score_gemma":0.008910217,"threshold_uncertainty_score":0.072472334},"labels":[],"label_agreement":null},{"id":"W7084229269","doi":"","title":"Ukrainian Archives in Canada: Historiography, Typology, Structure","year":2007,"lang":"uk","type":"article","venue":"The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Government (linguistics); Term (time); Field (mathematics)","score_opus":0.023094323390765115,"score_gpt":0.2739083926616712,"score_spread":0.2508140692709061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084229269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5442127,0.09926551,0.00158292,0.011510224,0.00064166187,0.0001588369,0.005026747,0.00022845635,0.33737293],"genre_scores_gemma":[0.9144533,0.026470607,0.000918545,0.00025075846,0.00006235648,0.000029349236,0.0009045185,0.00009593482,0.056814477],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893504,0.0001266088,0.000068385314,0.00012659312,0.00036092507,0.00038243015],"domain_scores_gemma":[0.99802977,0.0003432941,0.0003061783,0.00014125461,0.00089211675,0.00028750693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000808955,0.0003181806,0.0003058524,0.0088197505,0.011131573,0.0084283585,0.0010828545,0.0005864651,0.007827598],"category_scores_gemma":[0.003232071,0.000302659,0.00014905265,0.03184995,0.006662964,0.002016053,0.0022746886,0.00087400334,0.0006361142],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021291322,0.00003637732,0.07375612,0.0014302589,0.00006008226,0.0030815306,0.33523905,0.001371741,0.0010505022,0.2656096,0.045028344,0.27312353],"study_design_scores_gemma":[0.0000045447205,0.0000134010215,0.10246691,0.0008408681,0.00003137679,0.0012814708,0.111295365,0.00031067588,0.00071129436,0.0026634675,0.7803293,0.000051296607],"about_ca_topic_score_codex":0.9711638,"about_ca_topic_score_gemma":0.9828099,"teacher_disagreement_score":0.08591651,"about_ca_system_score_codex":0.08591651,"about_ca_system_score_gemma":0.108932704,"threshold_uncertainty_score":0.6233708},"labels":[],"label_agreement":null},{"id":"W7084315851","doi":"","title":"Undoing Networks","year":2021,"lang":"en","type":"other","venue":"Multilingual Matters (Channel View Publications)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Undoing; Disconnection; Politics; Citizen journalism; Work (physics); Governmentality; Narrative; Privilege (computing)","score_opus":0.02018858093602879,"score_gpt":0.2732672544826167,"score_spread":0.2530786735465879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084315851","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017617444,0.0045738276,0.016011745,0.012546017,0.00061799196,0.000030160614,0.000033599234,0.00011621418,0.948453],"genre_scores_gemma":[0.7795929,0.007244931,0.004817257,0.0033629427,0.00047681664,0.00020288916,0.000076835284,0.00029572425,0.20392968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996741,0.0017796935,0.00006937606,0.0004194981,0.0006237269,0.00036676842],"domain_scores_gemma":[0.99722654,0.0015268262,0.00022559165,0.0005464769,0.00023651181,0.00023789557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002560699,0.00059601484,0.000328557,0.0017456248,0.00848124,0.015443494,0.0013545273,0.0029863447,0.014693109],"category_scores_gemma":[0.0061903372,0.00030191228,0.00030810505,0.0014881174,0.03691616,0.023593789,0.008595443,0.0038844969,0.001823729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031870343,0.0000021662875,0.00006105581,0.000018456007,6.507954e-7,0.00004388678,0.010260669,0.00006425122,0.00004054886,0.9820884,0.0026129645,0.004803777],"study_design_scores_gemma":[0.0000043364475,0.00001047589,0.00015885009,0.00027616895,0.000004214259,0.00023193122,0.026754035,0.00028164277,0.00022087723,0.424754,0.5472928,0.000010703557],"about_ca_topic_score_codex":0.0045610256,"about_ca_topic_score_gemma":0.0052742567,"teacher_disagreement_score":0.015443494,"about_ca_system_score_codex":0.0042832205,"about_ca_system_score_gemma":0.0029258775,"threshold_uncertainty_score":0.049153328},"labels":[],"label_agreement":null},{"id":"W7084407665","doi":"10.57745/odbeym","title":"t1_to_time_0306_2024.pkl","year":2025,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"","score_opus":0.14846437042651708,"score_gpt":0.3841081619528151,"score_spread":0.23564379152629802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084407665","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018337175,0.00008831377,0.00018335637,0.0001298776,0.000097092925,0.000022673632,0.99512285,0.002781231,0.0013912111],"genre_scores_gemma":[0.00032631357,0.00003699079,0.00052375795,0.00005189416,0.000017346265,0.000054889406,0.997556,0.00024713087,0.0011857939],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984485,0.00026523834,0.00010254503,0.0004955088,0.00037421338,0.00031391348],"domain_scores_gemma":[0.9977748,0.0004717104,0.0001210577,0.00072651386,0.0005746003,0.0003312399],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014358766,0.004839591,0.0023455613,0.0032264811,0.0014828475,0.003790132,0.0050660535,0.0041063474,0.13565713],"category_scores_gemma":[0.0066460595,0.0010300811,0.002127535,0.0042221528,0.0008160539,0.0021145137,0.002808036,0.0023703577,0.27356994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054696164,0.000019856298,0.00013186032,0.00020378391,0.000013953554,0.000009478183,0.000009756286,0.0001829631,0.00008834659,0.00025362673,0.9975606,0.0014710958],"study_design_scores_gemma":[0.00043732047,0.000045582092,0.0014909072,0.00015892563,0.000024465253,0.00007032878,0.000087924396,0.0017477236,0.00074774266,0.0019959945,0.9931485,0.000044578443],"about_ca_topic_score_codex":0.034375772,"about_ca_topic_score_gemma":0.05180347,"teacher_disagreement_score":0.86434287,"about_ca_system_score_codex":0.002028549,"about_ca_system_score_gemma":0.0024190994,"threshold_uncertainty_score":0.45381832},"labels":[],"label_agreement":null},{"id":"W7084447505","doi":"","title":"ProbMed: A Probabilistic Framework for Medical Multimodal Binding","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Probabilistic logic; Modalities; Embedding; Modality (human–computer interaction); Medical diagnosis; Statistical model; Hellinger distance; Probabilistic relevance model","score_opus":0.020983859750192086,"score_gpt":0.2971736970367127,"score_spread":0.27618983728652063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084447505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016278939,0.0003272969,0.99579096,0.00039117638,0.00003213151,0.000043075386,0.00032152154,0.00086981524,0.00059599284],"genre_scores_gemma":[0.29429615,0.0014597507,0.68991935,0.001405865,0.00049487763,0.0007027307,0.0032925694,0.0008073738,0.007621311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794346,0.0008821264,0.000102419974,0.0004772331,0.00047633142,0.000118407355],"domain_scores_gemma":[0.9969272,0.0019117829,0.00025365865,0.0003650919,0.00038068055,0.00016171634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036810562,0.0012537277,0.0010755586,0.001969625,0.0006605142,0.0019537627,0.0032677148,0.0022250833,0.005124835],"category_scores_gemma":[0.011979223,0.000980976,0.0018600533,0.0014535568,0.0015847764,0.0032267328,0.004299933,0.0034039824,0.0017274965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003905387,0.00021072473,0.0028340905,0.00041181344,0.0002294578,0.00042030512,0.00032382863,0.5245257,0.0045438735,0.100600354,0.01825891,0.34725043],"study_design_scores_gemma":[0.000017222525,0.00006070289,0.00027105288,0.000036181766,0.00001880079,0.0001972674,0.000020130947,0.9324726,0.0012331523,0.061192453,0.004457578,0.000022859871],"about_ca_topic_score_codex":0.005023018,"about_ca_topic_score_gemma":0.0064844806,"teacher_disagreement_score":0.005124835,"about_ca_system_score_codex":0.001807351,"about_ca_system_score_gemma":0.0018073656,"threshold_uncertainty_score":0.019467473},"labels":[],"label_agreement":null},{"id":"W7084448846","doi":"","title":"Implantation de l’intervention relationnelle auprès de familles d’accueil dans un contexte français : méthodologie","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Context (archaeology); Perspective (graphical); Ethnic group; Qualitative research; Face (sociological concept)","score_opus":0.03093000894110972,"score_gpt":0.2590662788939964,"score_spread":0.2281362699528867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084448846","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44654918,0.0015241661,0.53464633,0.00093024084,0.00027812613,0.00050701253,0.0005370483,0.0009578305,0.0140700685],"genre_scores_gemma":[0.827229,0.000504456,0.16050553,0.00018275552,0.000040932955,0.0007006166,0.00022858106,0.00029677193,0.010311327],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9989341,0.00043526242,0.000050231945,0.00031326507,0.00014991555,0.00011721154],"domain_scores_gemma":[0.99654937,0.002571831,0.00015356319,0.00030493003,0.00030412126,0.00011607742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001835286,0.00066664704,0.0005045766,0.00063124526,0.0007260052,0.0016997205,0.00068562134,0.0016052037,0.010060525],"category_scores_gemma":[0.0056975055,0.00041443086,0.00079238013,0.00041892903,0.0010192872,0.00069491385,0.0009497414,0.00084980257,0.00118034],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069115744,0.0013149729,0.040719874,0.0015553933,0.0003991447,0.0027445885,0.014144878,0.06261447,0.100312755,0.029118858,0.007438619,0.7327249],"study_design_scores_gemma":[0.0013336934,0.007947811,0.11402886,0.0018018078,0.0013120625,0.0111510055,0.022446716,0.5166692,0.16093764,0.038131107,0.12347558,0.00076461677],"about_ca_topic_score_codex":0.0102946535,"about_ca_topic_score_gemma":0.010831432,"teacher_disagreement_score":0.0102946535,"about_ca_system_score_codex":0.00076839764,"about_ca_system_score_gemma":0.0015914502,"threshold_uncertainty_score":0.033655763},"labels":[],"label_agreement":null},{"id":"W7089221280","doi":"10.5281/zenodo.17329985","title":"tardis-sn/stardis: Stardis v2025.10.12","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Process (computing); Troubleshooting; Work (physics); Action (physics)","score_opus":0.01753694308782902,"score_gpt":0.2279241907344964,"score_spread":0.21038724764666739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7089221280","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001682085,0.00032731963,0.09143215,0.0003318865,0.0005543416,0.00016141833,0.099940926,0.73023194,0.075337924],"genre_scores_gemma":[0.013215268,0.000322765,0.06137373,0.00048469214,0.0002718849,0.0003652516,0.34222555,0.4970661,0.08467476],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986273,0.00014820459,0.000070136,0.00028782754,0.0006979367,0.00016862468],"domain_scores_gemma":[0.99823904,0.00029246256,0.000098806944,0.0005978613,0.00053374143,0.00023818322],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020594636,0.0035198191,0.0016360031,0.0022243708,0.0009083694,0.00384052,0.005404823,0.002409792,0.3133141],"category_scores_gemma":[0.0036343338,0.0021052635,0.001523893,0.0016680927,0.0007097526,0.0028036267,0.0026389519,0.0026028387,0.42281038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035011274,0.000034399087,0.00025675655,0.00022641127,0.000040838007,0.000083643725,0.00005030313,0.0009332285,0.0025114485,0.0044448846,0.96376246,0.027305342],"study_design_scores_gemma":[0.00026534026,0.00006541353,0.00074978353,0.000071622766,0.000026673502,0.00025989636,0.000026351587,0.010992815,0.013838235,0.006930143,0.96666837,0.000105246334],"about_ca_topic_score_codex":0.005407408,"about_ca_topic_score_gemma":0.004904509,"teacher_disagreement_score":0.3133141,"about_ca_system_score_codex":0.0014032392,"about_ca_system_score_gemma":0.001244529,"threshold_uncertainty_score":0.97947407},"labels":[],"label_agreement":null},{"id":"W7093537474","doi":"","title":"Achim LICHTENBERGER & Rubina Raja (Ed.), Metal Finds and Coins. Final Publications from the Danish-German Jerash Northwest Quarter Project II. Turnhout, Brepols, 2020.","year":2022,"lang":"fr","type":"article","venue":"Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Raja; Quarter (Canadian coin); Period (music); Prehistory; Section (typography)","score_opus":0.013634336169627616,"score_gpt":0.20969662329509117,"score_spread":0.19606228712546356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093537474","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031460758,0.9614189,0.0039760224,0.0054591196,0.004732061,0.000012476739,0.0004556861,0.00027784018,0.02335326],"genre_scores_gemma":[0.004294273,0.90359604,0.0045983754,0.0012086544,0.0022555261,0.000039033814,0.0007160329,0.00020905344,0.08308311],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956506,0.00006816687,0.000047489855,0.000108200424,0.00017897853,0.000032075437],"domain_scores_gemma":[0.99926096,0.00037940775,0.00007062935,0.000042153802,0.0001770434,0.00006979205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008550024,0.0022649576,0.0014164984,0.0037139868,0.000740052,0.0029555063,0.0012014757,0.0014921246,0.049710676],"category_scores_gemma":[0.0016464689,0.0011107076,0.0005171209,0.005020304,0.0009780802,0.0073046274,0.0013062896,0.0017763383,0.061728645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056421173,0.000020941518,0.00016332985,0.0015909142,0.000019747547,0.00008600946,0.0004555262,0.00020139884,0.0002882741,0.0075481916,0.62912434,0.3604449],"study_design_scores_gemma":[0.0000052722103,0.000011295797,0.0004613412,0.0009331137,0.000018638564,0.00061250327,0.00036464163,0.00013483253,0.0002969269,0.0053702616,0.9917753,0.000015911817],"about_ca_topic_score_codex":0.005372484,"about_ca_topic_score_gemma":0.013775424,"teacher_disagreement_score":0.049710676,"about_ca_system_score_codex":0.0008353887,"about_ca_system_score_gemma":0.0013457917,"threshold_uncertainty_score":0.1662988},"labels":[],"label_agreement":null},{"id":"W7093657701","doi":"","title":"Histórias de colaboração em um projeto de conversação em língua inglesa vinculado ao Núcleo de Estudos Canadenses.","year":2012,"lang":"pt","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Context (archaeology); Perspective (graphical); Identity (music)","score_opus":0.056736088343819976,"score_gpt":0.3646530982452099,"score_spread":0.3079170099013899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093657701","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43393296,0.020228831,0.027163886,0.043850776,0.0014785923,0.0006265867,0.0008982089,0.0004111598,0.47140905],"genre_scores_gemma":[0.9207643,0.0058530574,0.0041853576,0.0015671266,0.00014098396,0.0005050226,0.00027979296,0.00019402125,0.06651028],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9838397,0.009920696,0.00050106784,0.0021819668,0.002298998,0.0012575923],"domain_scores_gemma":[0.97053134,0.014756161,0.0021666076,0.0043677236,0.0040317904,0.0041463524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014006512,0.0005467586,0.00058130635,0.0047320486,0.019625632,0.012920297,0.0024937417,0.0028014998,0.014049261],"category_scores_gemma":[0.024922043,0.00073031057,0.0003720447,0.009661392,0.016597014,0.010973148,0.018661926,0.004893326,0.0016001648],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093751885,0.00007884264,0.005311406,0.0004377038,0.000014975758,0.00077402056,0.8048645,0.0001703932,0.0011669854,0.12055974,0.011334571,0.055193096],"study_design_scores_gemma":[0.000008502865,0.000087924884,0.012142224,0.00066885486,0.00001349285,0.0006022975,0.375925,0.00016618053,0.0010753444,0.0059625385,0.6032988,0.00004886491],"about_ca_topic_score_codex":0.035508435,"about_ca_topic_score_gemma":0.069721386,"teacher_disagreement_score":0.96449155,"about_ca_system_score_codex":0.012583373,"about_ca_system_score_gemma":0.013827916,"threshold_uncertainty_score":0.091299176},"labels":[],"label_agreement":null},{"id":"W7093777881","doi":"","title":"Features of cognitive functions recovery dynamics in patients with chronic cerebral ischemia after COVID-19","year":2024,"lang":"uk","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cognition; Ischemia; Effects of sleep deprivation on cognitive performance; Montreal Cognitive Assessment; Cognitive decline; Cognitive disorder","score_opus":0.02100988815612662,"score_gpt":0.28772487183288864,"score_spread":0.266714983676762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093777881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995347,0.00014054809,0.000024667792,0.000016901797,0.0000028293673,0.0000061224937,0.000051401406,0.0000017553338,0.00022101599],"genre_scores_gemma":[0.9996979,0.000053569547,0.000028530372,0.0000136611525,0.0000101895275,0.000005653269,0.00012350165,4.2953712e-7,0.000066516535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998192,0.00002545475,0.000022947223,0.000031429452,0.000033654946,0.000067358924],"domain_scores_gemma":[0.99924624,0.00008844053,0.00034709845,0.000026975667,0.00009170856,0.00019959008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036431002,0.00033315583,0.00047696463,0.00084071467,0.0005121373,0.0004329634,0.0002078591,0.00046177354,0.0009606915],"category_scores_gemma":[0.0013902375,0.00013680082,0.0003304358,0.00049300474,0.00035258848,0.00039436092,0.00033720653,0.00042548613,0.00017268713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045787604,0.00008012879,0.9956274,0.000012089921,0.00003087125,0.001088379,0.000157125,0.00004135216,0.0005477091,0.000009619523,0.0000580288,0.0018893324],"study_design_scores_gemma":[0.00000800899,0.0002863477,0.9979656,0.0000037339548,0.000011154836,0.0013480796,0.00016487784,0.00006933673,0.00007251999,0.000011168993,0.00005590913,0.0000032763207],"about_ca_topic_score_codex":0.0024246443,"about_ca_topic_score_gemma":0.0025454452,"teacher_disagreement_score":0.0024246443,"about_ca_system_score_codex":0.00031185764,"about_ca_system_score_gemma":0.00025547927,"threshold_uncertainty_score":0.004821062},"labels":[],"label_agreement":null},{"id":"W7095100655","doi":"","title":"Traces of History","year":2016,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); History of technology; Work (physics); Field (mathematics)","score_opus":0.012849070490789856,"score_gpt":0.1954898857486244,"score_spread":0.18264081525783454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095100655","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01046595,0.041539665,0.0033756702,0.03148294,0.004026833,0.000050531482,0.0013582697,0.00021539742,0.9074848],"genre_scores_gemma":[0.37292784,0.051863037,0.0023606159,0.009746479,0.0038231895,0.000117173826,0.0016404097,0.0009467914,0.5565744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978612,0.0006912798,0.00010511516,0.00044084352,0.0006422373,0.0002592622],"domain_scores_gemma":[0.99650913,0.0014638634,0.0002433756,0.0007338297,0.0007380816,0.00031172895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019996767,0.00041945514,0.00048659113,0.004073808,0.0062402682,0.007705313,0.0010288106,0.0015796805,0.046289477],"category_scores_gemma":[0.010214462,0.0003468263,0.00024114933,0.0056330687,0.010382498,0.00906931,0.0035264099,0.003239703,0.010480133],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079905054,0.000013250478,0.00091792626,0.00027754495,0.000014246483,0.00037704324,0.019956218,0.000114347524,0.0001797243,0.78974295,0.11877263,0.06955414],"study_design_scores_gemma":[0.0000016402755,0.00000386666,0.0003909546,0.00027315086,0.0000020569544,0.00011172232,0.0012799295,0.000019330882,0.00007013616,0.018691074,0.97915,0.0000061829837],"about_ca_topic_score_codex":0.019811051,"about_ca_topic_score_gemma":0.027807157,"teacher_disagreement_score":0.046289477,"about_ca_system_score_codex":0.007021603,"about_ca_system_score_gemma":0.0032145465,"threshold_uncertainty_score":0.1548537},"labels":[],"label_agreement":null},{"id":"W7095313403","doi":"","title":"This research is partially supported by NSERC grant OGP0005527","year":2007,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lost sales; Markov chain; Service (business); Stock (firearms); Lead time; Service level; Markov model; Markov process","score_opus":0.04338966043534916,"score_gpt":0.332269376911218,"score_spread":0.28887971647586885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095313403","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05018308,0.004208746,0.030629486,0.044621136,0.008194839,0.0014497715,0.07512255,0.008904856,0.7766855],"genre_scores_gemma":[0.17853343,0.004083629,0.026442537,0.0020241675,0.0005817534,0.0002379031,0.03590139,0.0032075308,0.74898756],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955159,0.00064448785,0.00013242065,0.0006103247,0.0024148,0.0006820363],"domain_scores_gemma":[0.9815586,0.005051416,0.00047532172,0.0016626614,0.008781188,0.0024707932],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038804507,0.001970539,0.0027789145,0.0032137241,0.0023930247,0.0024914227,0.003575016,0.0018452072,0.295885],"category_scores_gemma":[0.0150906835,0.0005366563,0.0012055621,0.0029103553,0.0018515086,0.0034530968,0.0035011154,0.0014821162,0.092710674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023087438,0.000662329,0.006463686,0.00048808748,0.0002398949,0.0012597754,0.0011434355,0.008829703,0.004805252,0.035561573,0.63534045,0.30289707],"study_design_scores_gemma":[0.000805729,0.0004624905,0.010998238,0.00038785208,0.00016052964,0.00060822285,0.0014861127,0.025037918,0.003199638,0.015893951,0.94075435,0.00020491816],"about_ca_topic_score_codex":0.34808645,"about_ca_topic_score_gemma":0.37684813,"teacher_disagreement_score":0.70411503,"about_ca_system_score_codex":0.00909223,"about_ca_system_score_gemma":0.01772141,"threshold_uncertainty_score":0.98983395},"labels":[],"label_agreement":null},{"id":"W7095316362","doi":"","title":"OR 1205","year":2015,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Elite; Sample (material); Phenomenon; Quality (philosophy); Work (physics); Perception","score_opus":0.059601390895431504,"score_gpt":0.27368190715934093,"score_spread":0.21408051626390942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095316362","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001185502,0.0009254819,0.00054645364,0.0021396014,0.001795277,0.0001389699,0.008089929,0.0006587461,0.9845201],"genre_scores_gemma":[0.0052377535,0.00083167263,0.00031713696,0.0013745067,0.00041874457,0.00009101598,0.004626808,0.00021126017,0.9868911],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991979,0.0001549212,0.00008055915,0.00019255871,0.00025269543,0.00012141214],"domain_scores_gemma":[0.9987061,0.00025878582,0.00010117125,0.0002295218,0.0004297501,0.00027455812],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008693537,0.0010540873,0.000692988,0.0016268526,0.001498413,0.004377716,0.00092011894,0.002444962,0.906159],"category_scores_gemma":[0.0037321546,0.0002810822,0.0005019136,0.0017568785,0.00056874234,0.0021678342,0.002502955,0.0009893733,0.8291353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013320142,0.00007476691,0.0010666316,0.00038435834,0.000010572818,0.00024080221,0.00010105954,0.000059667735,0.0008787095,0.010957959,0.83419514,0.1518972],"study_design_scores_gemma":[0.000011947437,0.000021710322,0.0007494576,0.000120740006,0.000003314622,0.00009898178,0.00007398991,0.000060495557,0.00012721917,0.0008059865,0.99792093,0.0000052543387],"about_ca_topic_score_codex":0.0034840154,"about_ca_topic_score_gemma":0.0041252123,"teacher_disagreement_score":0.09384102,"about_ca_system_score_codex":0.0011647608,"about_ca_system_score_gemma":0.0012011846,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W7095943935","doi":"","title":"Recommended Citation Harabor, Nicoletta, &amp;quot;The Effect of WDR1 and a Spliced Isoform (WDRΔ35) on Cell Migration in Mammalian Cells &amp;quot; (2014). Electronic Theses and Dissertations. Paper 5070. The Effect of WDR1 and a Spliced Isoform (WDRΔ35) on Cell Migration","year":2014,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Permission; Focus (optics); Statute; Citation","score_opus":0.004151590208008719,"score_gpt":0.2204968192066177,"score_spread":0.21634522899860897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095943935","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007801942,0.13272828,0.00846777,0.109297276,0.20595747,0.00062112993,0.009730619,0.0011088573,0.52428675],"genre_scores_gemma":[0.02117163,0.091851205,0.008285796,0.0063660583,0.014712002,0.00022601125,0.004095975,0.0006203747,0.852671],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995123,0.000043430882,0.000036781148,0.0000832525,0.00029155184,0.000032570508],"domain_scores_gemma":[0.9974598,0.00046400318,0.000102051294,0.00013414556,0.0014907267,0.000349248],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011460677,0.00049656554,0.001168616,0.0026705666,0.0015298619,0.002674659,0.0008979971,0.0009705039,0.17521901],"category_scores_gemma":[0.0045628203,0.0003441405,0.00027534002,0.0053474903,0.00079170015,0.0025820325,0.0011764623,0.001125027,0.047446698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023714092,0.000025180718,0.00027507954,0.0004249674,0.0000039168854,0.00003869564,0.0001693882,0.000071513525,0.00047545639,0.0024034302,0.88967615,0.10641246],"study_design_scores_gemma":[0.000009135369,0.000028330442,0.0023673996,0.00024939195,0.00000885893,0.00012379387,0.00026362226,0.00009033921,0.00043453003,0.0010210116,0.9953951,0.000008370511],"about_ca_topic_score_codex":0.008346143,"about_ca_topic_score_gemma":0.028675444,"teacher_disagreement_score":0.824781,"about_ca_system_score_codex":0.0019968012,"about_ca_system_score_gemma":0.0027051908,"threshold_uncertainty_score":0.586166},"labels":[],"label_agreement":null},{"id":"W7098269462","doi":"","title":"DEMONSTRATION","year":2000,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Corporation; Human resources; Disadvantaged; Work (physics); Field (mathematics); Program evaluation","score_opus":0.0060984811553109605,"score_gpt":0.2062689372302412,"score_spread":0.20017045607493025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098269462","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022557799,0.00086247677,0.010099284,0.018507052,0.0025836641,0.0022449093,0.014833763,0.0031831022,0.925128],"genre_scores_gemma":[0.07424153,0.0010274273,0.010654606,0.0038664644,0.00023813304,0.0010360989,0.012859631,0.0006226434,0.89545345],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982023,0.00022395831,0.00003517512,0.00026243276,0.0008443325,0.000431616],"domain_scores_gemma":[0.9942029,0.00035869973,0.00008878526,0.0005648389,0.0028644577,0.0019203221],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003848402,0.00047824392,0.00034599673,0.0007452729,0.004073949,0.001928419,0.0015949847,0.001074075,0.20614648],"category_scores_gemma":[0.004701381,0.00028180992,0.0004185754,0.00072580867,0.0011056251,0.0011269561,0.0028021033,0.0022170055,0.030875819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018931042,0.00033820383,0.001347718,0.00006635035,0.0000097000675,0.00014552717,0.00040914648,0.00016788264,0.00078720925,0.012132603,0.93648463,0.047921732],"study_design_scores_gemma":[0.00006141131,0.000110402776,0.002919612,0.000026447005,0.0000037354546,0.000061287275,0.00039785408,0.00022176438,0.00035834758,0.00083502976,0.994994,0.000010206036],"about_ca_topic_score_codex":0.24475004,"about_ca_topic_score_gemma":0.45849776,"teacher_disagreement_score":0.7938535,"about_ca_system_score_codex":0.0046937345,"about_ca_system_score_gemma":0.017587204,"threshold_uncertainty_score":0.68962866},"labels":[],"label_agreement":null},{"id":"W7098297673","doi":"","title":"1Cervical Cancer and Pap Test Utilisation in Manitoba","year":2015,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cancer; Test (biology); Pap test; Cervical cancer; MEDLINE","score_opus":0.03699102799943399,"score_gpt":0.2607115324687526,"score_spread":0.22372050446931863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098297673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98868096,0.0010525258,0.0001062899,0.00030380816,0.000022458853,0.00004686567,0.006216125,0.00002746211,0.003543507],"genre_scores_gemma":[0.99259055,0.001600747,0.00024351107,0.00023812661,0.000021721504,0.00004941253,0.0022921914,0.00001565304,0.0029479219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958354,0.00007092002,0.0000395872,0.000061374405,0.00007897648,0.00016564832],"domain_scores_gemma":[0.9988097,0.00015535211,0.00027668528,0.000045513905,0.0003910788,0.00032154785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031759054,0.00049020513,0.00034213637,0.0028767146,0.0019089353,0.0009336633,0.0010451901,0.00049552624,0.004717169],"category_scores_gemma":[0.0017218728,0.000533789,0.0004947032,0.0053787483,0.0006913979,0.0005125983,0.0010374137,0.00079606095,0.0006615524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051839786,0.000035999645,0.99685115,0.00003200397,0.000037780304,0.00029823944,0.0003511513,0.000069119684,0.00022892798,0.000034082805,0.00040349198,0.001606216],"study_design_scores_gemma":[0.000004938441,0.000040132072,0.99704915,0.000038458653,0.000042901316,0.0002565012,0.001628925,0.00009832533,0.000116651245,0.000016440401,0.00070014875,0.000007433981],"about_ca_topic_score_codex":0.90456885,"about_ca_topic_score_gemma":0.9484939,"teacher_disagreement_score":0.09543115,"about_ca_system_score_codex":0.0062269312,"about_ca_system_score_gemma":0.007869623,"threshold_uncertainty_score":0.19198626},"labels":[],"label_agreement":null},{"id":"W7098413547","doi":"","title":"TOPIC: STUDENT DISCIPLINE","year":2015,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Discipline; School discipline; Code (set theory); Human rights","score_opus":0.03026150092443486,"score_gpt":0.29862812362425545,"score_spread":0.2683666226998206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098413547","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005934859,0.06095789,0.0015248725,0.18334049,0.13250794,0.00034899334,0.0023114586,0.00034570467,0.61272776],"genre_scores_gemma":[0.048511248,0.031471297,0.00068617397,0.036014915,0.08303604,0.00028410176,0.0017833645,0.00029541962,0.79791737],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988109,0.00018788864,0.000102310936,0.00023627028,0.00038564563,0.0002770318],"domain_scores_gemma":[0.99748945,0.00033378473,0.00018063058,0.00008021306,0.00067088724,0.0012449801],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014860542,0.000553128,0.000652048,0.0014569154,0.0028730866,0.0053629754,0.0010072802,0.004113227,0.1998724],"category_scores_gemma":[0.0038008979,0.00018123673,0.0005216114,0.002050204,0.0011037072,0.0033302514,0.0048894016,0.002269041,0.06605425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023864297,0.00006114944,0.0006250005,0.00057194463,0.0000021081016,0.000042012325,0.0006413493,0.000019884033,0.00017394901,0.006204062,0.8875294,0.104105316],"study_design_scores_gemma":[0.0000062315594,0.000027866934,0.001838838,0.00045377263,0.000002512491,0.00007376876,0.0006640135,0.000014239771,0.000057785204,0.0007277827,0.99612975,0.0000034382842],"about_ca_topic_score_codex":0.0031186738,"about_ca_topic_score_gemma":0.010452507,"teacher_disagreement_score":0.8001276,"about_ca_system_score_codex":0.003322529,"about_ca_system_score_gemma":0.0055198073,"threshold_uncertainty_score":0.6686398},"labels":[],"label_agreement":null},{"id":"W7098561986","doi":"","title":"RESEARCH ARTICLE Open Access Background benefit from treatments or, indeed, identify those that","year":2016,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"WOMAC; Population; Osteoarthritis; MEDLINE; Measure (data warehouse); Alternative medicine","score_opus":0.32312756357081207,"score_gpt":0.48482054666964214,"score_spread":0.16169298309883007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098561986","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022938497,0.07510458,0.017385054,0.08617141,0.017672611,0.00088676694,0.03198837,0.0012506824,0.74660206],"genre_scores_gemma":[0.18710257,0.07991453,0.017329995,0.02287244,0.022322178,0.0012412402,0.020576954,0.001115756,0.64752436],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99658406,0.0008111188,0.00029060236,0.00090341683,0.00092593994,0.00048487863],"domain_scores_gemma":[0.9899733,0.0029007092,0.001412407,0.0008253833,0.002789691,0.0020985364],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0043594483,0.00066562585,0.0008017221,0.0015866266,0.0013184625,0.004287369,0.0019335772,0.0025446983,0.3763712],"category_scores_gemma":[0.015309379,0.0002688299,0.0005380051,0.0022554111,0.001902992,0.0023770323,0.0025184697,0.0016156419,0.11289447],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007372522,0.00045585164,0.0075009977,0.004124347,0.000066728935,0.0012703101,0.00060178846,0.00024979992,0.00093086815,0.049887497,0.2353113,0.6988633],"study_design_scores_gemma":[0.00006878874,0.00020347988,0.004284821,0.0021649066,0.000046354486,0.0016018813,0.00055125117,0.00012718482,0.00030134534,0.009319806,0.98130417,0.000026103686],"about_ca_topic_score_codex":0.003826155,"about_ca_topic_score_gemma":0.0045433915,"teacher_disagreement_score":0.6236288,"about_ca_system_score_codex":0.0014426351,"about_ca_system_score_gemma":0.0061300164,"threshold_uncertainty_score":0.8895308},"labels":[],"label_agreement":null},{"id":"W7098605390","doi":"","title":"Modelling Term-Structure Dynamics for Risk Management: A Practitioner’s Perspective. Bank of Canada Working Paper","year":2007,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dynamics (music); Work (physics); Risk management; System dynamics","score_opus":0.007637356563895231,"score_gpt":0.21865953766710156,"score_spread":0.21102218110320634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098605390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085765846,0.10106428,0.37613162,0.31929302,0.0019495834,0.00016900725,0.0044908887,0.0007623477,0.11037335],"genre_scores_gemma":[0.8807108,0.047813423,0.048660267,0.001761848,0.00056861516,0.00008170791,0.0008885443,0.00014859505,0.019366236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875546,0.0005467044,0.000065276974,0.00013888552,0.00031855915,0.00017506382],"domain_scores_gemma":[0.9912664,0.0048605,0.00061479514,0.00033306665,0.0022950585,0.0006300703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005274312,0.00066922384,0.0009354295,0.0014119006,0.0014149365,0.008840655,0.0022142576,0.0035865698,0.0054700784],"category_scores_gemma":[0.02050063,0.00054873497,0.00050669775,0.0036418268,0.0019653244,0.0038054758,0.0012689268,0.0031283572,0.0005055086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001029786,0.000056863133,0.012365732,0.00054230733,0.00017385473,0.0004780568,0.0022070208,0.2960836,0.00040108114,0.48903766,0.0980033,0.10054766],"study_design_scores_gemma":[0.000034843815,0.000043973767,0.0067154123,0.0013368578,0.0001404037,0.00017627221,0.004434648,0.4100274,0.00062543235,0.4492433,0.1270561,0.00016534782],"about_ca_topic_score_codex":0.80059355,"about_ca_topic_score_gemma":0.70726967,"teacher_disagreement_score":0.80059355,"about_ca_system_score_codex":0.018781645,"about_ca_system_score_gemma":0.03899161,"threshold_uncertainty_score":0.40116155},"labels":[],"label_agreement":null},{"id":"W7098712951","doi":"","title":"lessons from Canada’s Romanow Commission Draft: Please do not circulate or cite without permission of the authors","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commission; Permission; Government (linguistics); Legislature; Legislation","score_opus":0.02024336245328091,"score_gpt":0.2621567385625751,"score_spread":0.2419133761092942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098712951","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032163882,0.007974819,0.0014665225,0.7895476,0.027858056,0.00012554687,0.0015742668,0.00024528193,0.16799147],"genre_scores_gemma":[0.084298484,0.009952768,0.004814026,0.15937738,0.0040794844,0.000147027,0.0013041452,0.0012184621,0.7348082],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97886425,0.0021826585,0.0007562276,0.0013102003,0.012539591,0.004347011],"domain_scores_gemma":[0.91505796,0.009204475,0.00080249057,0.0033928996,0.061745565,0.009796552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021054678,0.0009054491,0.0010385326,0.0025059446,0.02342782,0.024716895,0.0037717924,0.0137316035,0.048358075],"category_scores_gemma":[0.08245461,0.00087699265,0.00096104766,0.0032601585,0.009131719,0.0060354527,0.0046971906,0.016761819,0.014673386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024306764,0.000016270524,0.00036004992,0.000051777093,0.000008043968,0.00017952098,0.0015112348,0.00012299926,0.00006066532,0.03770237,0.9472055,0.012757211],"study_design_scores_gemma":[0.000014176387,0.000007810317,0.00085910456,0.00023681273,0.000009662995,0.000055499677,0.002424531,0.00005340015,0.00016300862,0.0044819643,0.9916504,0.000043500502],"about_ca_topic_score_codex":0.9589236,"about_ca_topic_score_gemma":0.97053975,"teacher_disagreement_score":0.9240703,"about_ca_system_score_codex":0.0759297,"about_ca_system_score_gemma":0.23045543,"threshold_uncertainty_score":0.5509111},"labels":[],"label_agreement":null},{"id":"W7098785649","doi":"","title":"Corresponding Author:","year":2015,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Hypertrophic cardiomyopathy; Genotype; Genotyping; Cardiomyopathy","score_opus":0.05193185883680805,"score_gpt":0.2860225302693873,"score_spread":0.23409067143257922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098785649","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04299657,0.007138716,0.010335134,0.03288185,0.022667743,0.00087716355,0.007823531,0.0028176045,0.87246174],"genre_scores_gemma":[0.074587926,0.0017112574,0.0026723663,0.0049688327,0.0010076297,0.00016134561,0.0016025928,0.00040888038,0.9128792],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929726,0.000076087425,0.000041221516,0.00027371247,0.00016441656,0.00014734243],"domain_scores_gemma":[0.9988073,0.00016604492,0.00006955124,0.00008343722,0.00038506507,0.0004885584],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00060764607,0.0007983902,0.00065977493,0.0006172895,0.0010503037,0.0016384443,0.00068174524,0.0014937965,0.69472206],"category_scores_gemma":[0.0020506908,0.00017028853,0.00027087994,0.00037169023,0.00038015188,0.00091501896,0.0011587992,0.00085644115,0.47942957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009063024,0.00029653197,0.011360411,0.00090441195,0.00003014846,0.0029208297,0.0008882713,0.0005201887,0.0037333851,0.006403371,0.48613998,0.48589617],"study_design_scores_gemma":[0.00006816931,0.00022531224,0.005306412,0.0003072264,0.000026826408,0.0030403493,0.0005409967,0.00040457118,0.001316946,0.0013737297,0.9873655,0.000023948009],"about_ca_topic_score_codex":0.0010562692,"about_ca_topic_score_gemma":0.0017305064,"teacher_disagreement_score":0.30527794,"about_ca_system_score_codex":0.00068796455,"about_ca_system_score_gemma":0.0010440213,"threshold_uncertainty_score":0.4354419},"labels":[],"label_agreement":null},{"id":"W7098847268","doi":"","title":"Read All about it!! What Happens Following a Technology Shock?,” mimeo","year":2004,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Field (mathematics); Technological change; Capital (architecture); Business cycle; Empirical research; Component (thermodynamics); Empirical evidence","score_opus":0.012020313586067952,"score_gpt":0.25671659362036947,"score_spread":0.24469628003430152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098847268","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0107630165,0.016442042,0.0049074907,0.7118465,0.045206033,0.000096082076,0.004106498,0.0009946192,0.20563775],"genre_scores_gemma":[0.108494185,0.03651529,0.0068930057,0.18587424,0.026035884,0.00026635785,0.003749092,0.0013936862,0.63077825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994387,0.0001993924,0.000045663382,0.000079683545,0.000161026,0.00007544388],"domain_scores_gemma":[0.9974698,0.00106137,0.00027064278,0.00014997373,0.00069880014,0.00034949373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013887488,0.0004920761,0.00043073483,0.0011415792,0.0014830127,0.004058545,0.00068813405,0.0020910397,0.06652951],"category_scores_gemma":[0.012541482,0.00028002402,0.0004247619,0.0017332623,0.0010233334,0.006350441,0.0010977043,0.0016851496,0.03588313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055788896,0.000017850582,0.0021208324,0.00012832468,0.000008378544,0.00014416283,0.0008075376,0.00010468203,0.00016701854,0.007841478,0.9245703,0.06403361],"study_design_scores_gemma":[0.000013134543,0.000026617105,0.007085913,0.0001429561,0.000008739118,0.00015844802,0.0016127363,0.00033496265,0.00019757557,0.0054674707,0.98492473,0.000026630914],"about_ca_topic_score_codex":0.005782365,"about_ca_topic_score_gemma":0.011544295,"teacher_disagreement_score":0.06652951,"about_ca_system_score_codex":0.001205658,"about_ca_system_score_gemma":0.00092319696,"threshold_uncertainty_score":0.22256339},"labels":[],"label_agreement":null},{"id":"W7099826759","doi":"","title":"Don Rouyn site (QC, Canada)","year":2014,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.0029318168908655977,"score_gpt":0.16596191849283723,"score_spread":0.16303010160197162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099826759","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012718048,0.013851779,0.010060818,0.013189003,0.0042576366,0.00039394657,0.017596312,0.0041562864,0.92377615],"genre_scores_gemma":[0.009283736,0.0015905692,0.0035713653,0.00073880464,0.00006526568,0.000032142405,0.0017889518,0.00042609905,0.9825032],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980211,0.00009029783,0.000038111786,0.0004488292,0.0010524904,0.00034923363],"domain_scores_gemma":[0.9973231,0.00012161884,0.00006285886,0.00012288883,0.0018034815,0.00056603854],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010546956,0.0009837539,0.0010740596,0.0020539314,0.00403292,0.0037715842,0.0018297256,0.0017564637,0.52499247],"category_scores_gemma":[0.0019091035,0.00073913817,0.00084366713,0.0014916181,0.00091718766,0.0006163662,0.0013790894,0.0015266257,0.16981405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035971453,0.00014062758,0.0044278423,0.00028190436,0.000043563065,0.0007180887,0.00018647352,0.001266938,0.008353279,0.009335234,0.6826057,0.29228067],"study_design_scores_gemma":[0.000043151227,0.00004697961,0.006277218,0.0001060891,0.00001932282,0.0003297279,0.00016767967,0.0006125205,0.0023799676,0.0005456972,0.9894433,0.000028382265],"about_ca_topic_score_codex":0.7927499,"about_ca_topic_score_gemma":0.9273091,"teacher_disagreement_score":0.47500753,"about_ca_system_score_codex":0.010355375,"about_ca_system_score_gemma":0.025407853,"threshold_uncertainty_score":0.67754054},"labels":[],"label_agreement":null},{"id":"W7099944944","doi":"","title":"emerged pathotype of Bipolaris sorokiniana in Manitoba, Canada","year":2012,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bipolaris; Cultivar; Population; Phylogenetics; Genome","score_opus":0.012500777707657807,"score_gpt":0.19731106575125854,"score_spread":0.18481028804360072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099944944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807566,0.0015077259,0.00039342206,0.00043378695,0.000050955558,0.00014944069,0.0016791362,0.00002129799,0.015007655],"genre_scores_gemma":[0.9872612,0.0014480911,0.0008077027,0.0004061303,0.0000071888385,0.00002000386,0.0008117325,0.000013130041,0.009224875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976856,0.000014048185,0.000008292659,0.000038324724,0.000056392666,0.00011432335],"domain_scores_gemma":[0.99976677,0.00000871245,0.00002121561,0.000004363025,0.00014854473,0.000050463605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012506759,0.00035133795,0.00039907,0.0024443017,0.0040091546,0.0009315858,0.000710602,0.00042195787,0.0019812228],"category_scores_gemma":[0.00023697122,0.00020554887,0.00020140033,0.002801894,0.0007777291,0.00015782344,0.0004920667,0.0003547607,0.0004352578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012259366,0.00029462503,0.7633569,0.00032619233,0.00013796016,0.027155582,0.015951363,0.00060082297,0.085255265,0.0025468788,0.0066756806,0.09647274],"study_design_scores_gemma":[0.000016616426,0.00018157868,0.95306313,0.00013486513,0.00006308463,0.004826626,0.021957388,0.00026832902,0.0016226091,0.00019711175,0.017631078,0.000037626898],"about_ca_topic_score_codex":0.9571278,"about_ca_topic_score_gemma":0.98907197,"teacher_disagreement_score":0.04287219,"about_ca_system_score_codex":0.0074473685,"about_ca_system_score_gemma":0.007423803,"threshold_uncertainty_score":0.08624929},"labels":[],"label_agreement":null},{"id":"W7100530869","doi":"","title":"THE APHIDS (HOMOPTERA:APHIDIDAE) OF BRITISH COLUMBIA 18. FURTHER ADDITIONS","year":2016,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Government (linguistics); Overwintering","score_opus":0.006429060552560949,"score_gpt":0.19538409419085145,"score_spread":0.1889550336382905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100530869","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1313729,0.006568668,0.0060704094,0.010295353,0.0057793306,0.0008810599,0.32907817,0.0020355266,0.5079186],"genre_scores_gemma":[0.18198381,0.005406322,0.028700557,0.001293682,0.00055217417,0.0004746286,0.100411855,0.0007847618,0.68039215],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994808,0.000040814677,0.000033421882,0.00008864446,0.00024482407,0.00011140414],"domain_scores_gemma":[0.9964987,0.0001414779,0.00010820355,0.00017660855,0.0026891748,0.000385803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049559615,0.0005767337,0.000688115,0.004289281,0.00334376,0.0012754186,0.0013061452,0.00047016735,0.076103866],"category_scores_gemma":[0.002219604,0.00040988796,0.00037893924,0.0050031934,0.0004958407,0.000766123,0.0013440409,0.0011386344,0.01667492],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028162554,0.000057821173,0.047535446,0.00051747146,0.000037081503,0.0010918179,0.0024469008,0.0004181065,0.0049323235,0.0027611244,0.597797,0.34212327],"study_design_scores_gemma":[0.000020965634,0.000020058178,0.1306728,0.00015165613,0.00003246143,0.00040897087,0.00202416,0.00024808082,0.0014498419,0.00070642337,0.8642097,0.00005481517],"about_ca_topic_score_codex":0.90580535,"about_ca_topic_score_gemma":0.97339463,"teacher_disagreement_score":0.09419465,"about_ca_system_score_codex":0.007636339,"about_ca_system_score_gemma":0.010498627,"threshold_uncertainty_score":0.25459278},"labels":[],"label_agreement":null},{"id":"W7100565653","doi":"","title":"Design of a product oriented CADI CAP P integration system","year":2014,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Focus (optics); Work (physics); Process (computing); Yield (engineering)","score_opus":0.011304165822953002,"score_gpt":0.2093162637245542,"score_spread":0.19801209790160118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100565653","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030729562,0.0003228322,0.9212019,0.00020429607,0.00009977383,0.000543014,0.00036046922,0.024469316,0.022068968],"genre_scores_gemma":[0.34278977,0.00043482883,0.6193904,0.0004244471,0.000055166263,0.00070718245,0.0015285276,0.0013518494,0.03331778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993788,0.000049727314,0.000035398272,0.00013719183,0.00033755062,0.00006137436],"domain_scores_gemma":[0.99961287,0.000051530635,0.000038786315,0.000066394205,0.00018906049,0.00004136297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006413834,0.00063547154,0.0005756897,0.00092169445,0.00051288574,0.001850647,0.001529482,0.0007655064,0.010379191],"category_scores_gemma":[0.00077762833,0.00054021314,0.0004045567,0.00058983197,0.0002885561,0.0007221204,0.0006794504,0.0005124601,0.0056171725],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005056781,0.00040031207,0.0048615267,0.0006843757,0.00013510205,0.0011613512,0.0007784208,0.04273902,0.29923397,0.020766806,0.01922589,0.6095076],"study_design_scores_gemma":[0.0002690823,0.001249357,0.00821243,0.00016178052,0.00024947614,0.0015797939,0.0003598992,0.54687524,0.21511522,0.0054592416,0.22032093,0.00014757407],"about_ca_topic_score_codex":0.0030467587,"about_ca_topic_score_gemma":0.0020877845,"teacher_disagreement_score":0.010379191,"about_ca_system_score_codex":0.0006500057,"about_ca_system_score_gemma":0.0013134073,"threshold_uncertainty_score":0.03472185},"labels":[],"label_agreement":null},{"id":"W7100669331","doi":"","title":"Canada Conference on Fixed Income Markets for comments.","year":2008,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Fixed income; Government (linguistics); Production (economics)","score_opus":0.025165972292062567,"score_gpt":0.22880940102085037,"score_spread":0.2036434287287878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100669331","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006565785,0.016769206,0.00082961394,0.7319563,0.0532755,0.00012938406,0.0056595216,0.00023151703,0.19049238],"genre_scores_gemma":[0.022660432,0.022946304,0.002398355,0.283524,0.02924484,0.0002795269,0.0024437536,0.0004680342,0.6360348],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996615,0.00024330583,0.00013598485,0.00029532774,0.0019440786,0.00076623197],"domain_scores_gemma":[0.98913413,0.0024378009,0.00022813771,0.00046919426,0.006838361,0.0008924494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034818638,0.0010236391,0.0014981099,0.0022042338,0.0058911354,0.005321352,0.0028890644,0.015778443,0.14778042],"category_scores_gemma":[0.019034315,0.0005307809,0.0013725699,0.004437836,0.0021555885,0.004856528,0.001587714,0.010209902,0.024163412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009617093,0.0000064070373,0.00007257062,0.000019199028,0.0000027657054,0.000027435926,0.000016454389,0.000028072463,0.0000124128,0.010054862,0.98782873,0.0019214397],"study_design_scores_gemma":[0.000012081183,0.0000034202671,0.000559465,0.00008646001,0.000005813855,0.000020966068,0.000065195374,0.00011057528,0.00005277342,0.0044638505,0.9945966,0.00002277037],"about_ca_topic_score_codex":0.63450694,"about_ca_topic_score_gemma":0.7067366,"teacher_disagreement_score":0.36549306,"about_ca_system_score_codex":0.025670975,"about_ca_system_score_gemma":0.03525443,"threshold_uncertainty_score":0.735291},"labels":[],"label_agreement":null},{"id":"W7100904802","doi":"","title":"Research and Theory Network collaboration of organisations for homeless individuals in the Montreal region","year":2013,"lang":"en","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social network analysis; Social network (sociolinguistics); Multivariate analysis; Multivariate statistics; Data collection; Descriptive research","score_opus":0.029431832528529277,"score_gpt":0.2970444647499138,"score_spread":0.26761263222138454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100904802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935709,0.00034008923,0.00026077486,0.00066145253,0.00000476223,0.000050072445,0.00033059792,0.0000058572255,0.004775493],"genre_scores_gemma":[0.9988166,0.00021157127,0.00026389168,0.000035701527,0.0000040829564,0.000030039197,0.00008493134,0.000001346339,0.00055189396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864,0.0004931089,0.00004846033,0.00015947782,0.0002854271,0.0003734359],"domain_scores_gemma":[0.99291044,0.0013253166,0.0022543257,0.00020514312,0.0013008675,0.0020038746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001694738,0.00018887756,0.00020101067,0.0025573315,0.0037180914,0.0024252061,0.0011049722,0.00032730115,0.0055476697],"category_scores_gemma":[0.0067543085,0.00013573068,0.00012558875,0.0031930625,0.002392869,0.0011055861,0.0022174804,0.0004016847,0.00016421535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054127155,0.00009404217,0.9155034,0.00015192153,0.000024842502,0.00024344574,0.05317096,0.0004868212,0.00029918164,0.0020679464,0.0018500049,0.02605335],"study_design_scores_gemma":[0.0000075691737,0.00006854472,0.90065736,0.00014358241,0.0000140893335,0.000110733505,0.093789175,0.00046719797,0.00010066902,0.00031820507,0.004306072,0.000016950014],"about_ca_topic_score_codex":0.85246426,"about_ca_topic_score_gemma":0.9090386,"teacher_disagreement_score":0.14753574,"about_ca_system_score_codex":0.017109301,"about_ca_system_score_gemma":0.017671635,"threshold_uncertainty_score":0.2968092},"labels":[],"label_agreement":null},{"id":"W7101782195","doi":"10.6084/m9.figshare.30462799","title":"Additional file 1 of Exploring faculty development initiatives in medical education in resource-limited settings: perspectives and challenges","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Faculty development; Higher education; Professional development; Qualitative research; Work (physics)","score_opus":0.0711708432170808,"score_gpt":0.32226538885806627,"score_spread":0.2510945456409855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101782195","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041678196,0.000035477045,0.0003881543,0.0005694779,0.000055661094,0.00030544898,0.9955955,0.00013611834,0.002497371],"genre_scores_gemma":[0.02474396,0.0005635347,0.015785236,0.002934062,0.00029607932,0.014161444,0.9099085,0.0008675283,0.03073964],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99738425,0.0009561879,0.00043009294,0.0003319801,0.00058733555,0.00031012486],"domain_scores_gemma":[0.8240873,0.1470621,0.005401206,0.0036704983,0.016768266,0.0030106578],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005717468,0.00076519925,0.0009524971,0.004286229,0.0018500226,0.0027538026,0.0022248577,0.0016042771,0.8668985],"category_scores_gemma":[0.1252527,0.0005723774,0.00076319627,0.007737281,0.00045230356,0.0031179874,0.0020257593,0.0013457489,0.112712406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021120651,0.00010152401,0.00191978,0.0033294049,0.00002563587,0.000039365303,0.00026387096,0.00021777111,0.00002114527,0.0010596792,0.98030865,0.012501895],"study_design_scores_gemma":[0.0039766883,0.0003714843,0.057081647,0.013608296,0.00022888076,0.0003999586,0.0067339744,0.0018719429,0.00037394755,0.02112507,0.89398134,0.0002467149],"about_ca_topic_score_codex":0.02632266,"about_ca_topic_score_gemma":0.05139618,"teacher_disagreement_score":0.8668985,"about_ca_system_score_codex":0.0027481774,"about_ca_system_score_gemma":0.0065091304,"threshold_uncertainty_score":0.18985319},"labels":[],"label_agreement":null},{"id":"W7111336499","doi":"10.1145/373677","title":"The Impact of Human Decision-making on the Research Value of Archaeological Data","year":2025,"lang":"en","type":"article","venue":"Aaltodoc (Aalto University)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Value (mathematics); Data collection; Field (mathematics); Term (time)","score_opus":0.07995889681651806,"score_gpt":0.38283496453027227,"score_spread":0.3028760677137542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111336499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70681584,0.016037306,0.021537613,0.0485939,0.0011113537,0.0012848573,0.002859373,0.00040154354,0.20135812],"genre_scores_gemma":[0.98614246,0.001858218,0.008687442,0.0007646652,0.00016632749,0.00018436516,0.00023634471,0.00006695443,0.0018932504],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.78549755,0.15311392,0.005917188,0.0042307056,0.047619175,0.0036215],"domain_scores_gemma":[0.17136884,0.7805919,0.012080971,0.011236695,0.021080695,0.0036408992],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.14943449,0.0010337092,0.0010485477,0.006977728,0.0019569444,0.015561818,0.0020685124,0.0033750962,0.013332403],"category_scores_gemma":[0.4699671,0.0005950159,0.0015283608,0.0060494854,0.006569556,0.0077517875,0.0052675516,0.002309017,0.0013349189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0150150955,0.0013504749,0.12472835,0.0053913025,0.0014751882,0.0008104854,0.0072227926,0.01592787,0.0027829688,0.031212768,0.008973974,0.7851088],"study_design_scores_gemma":[0.0027929477,0.010967259,0.38287887,0.0157929,0.0055289404,0.0026897993,0.0452378,0.08316455,0.033650525,0.2533287,0.16277221,0.0011954207],"about_ca_topic_score_codex":0.005087212,"about_ca_topic_score_gemma":0.005660386,"teacher_disagreement_score":0.8505655,"about_ca_system_score_codex":0.007395002,"about_ca_system_score_gemma":0.00922417,"threshold_uncertainty_score":0.7902946},"labels":[],"label_agreement":null},{"id":"W7117552544","doi":"10.1109/vis60296.2025.00026","title":"Grounded Generation of Embellished Bar Chart Ensuring Chart Integrity","year":2025,"lang":"","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Chart; Pipeline (software); Bar (unit); Bar chart; Generalization; Object (grammar); Data integrity","score_opus":0.04011802745560141,"score_gpt":0.2749437888910167,"score_spread":0.2348257614354153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117552544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018338962,0.00015320686,0.9622304,0.00014518757,0.00008489668,0.0002195068,0.00029172952,0.016007062,0.0025291017],"genre_scores_gemma":[0.27552605,0.00021552722,0.71438134,0.00017542791,0.00004361439,0.00028477583,0.0012585694,0.0036710384,0.004443622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903846,0.0002141448,0.000057636622,0.00026245802,0.00033688644,0.00009044411],"domain_scores_gemma":[0.99521977,0.002031257,0.00030057927,0.0013031185,0.0009692183,0.00017607334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016732129,0.0015224251,0.00084214023,0.0009665991,0.00045784353,0.002085864,0.0019736635,0.0011725733,0.008363241],"category_scores_gemma":[0.011413613,0.0006090541,0.0012296968,0.00050691224,0.0008483928,0.0016534282,0.0021900286,0.0014244486,0.0025190231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063248153,0.00022735073,0.0031532948,0.0008578085,0.0001295445,0.0008765465,0.0013978309,0.17748258,0.12055507,0.028423842,0.019774359,0.64648926],"study_design_scores_gemma":[0.00005757122,0.00019046315,0.0008502071,0.000068726855,0.000045643676,0.00032402252,0.00016223887,0.86819524,0.101538435,0.014497759,0.01399538,0.00007443245],"about_ca_topic_score_codex":0.0025465218,"about_ca_topic_score_gemma":0.0024512247,"teacher_disagreement_score":0.008363241,"about_ca_system_score_codex":0.0006779168,"about_ca_system_score_gemma":0.000979767,"threshold_uncertainty_score":0.027977824},"labels":[],"label_agreement":null},{"id":"W7128852265","doi":"10.61574/at.2025.101","title":"Stavební obětina z Telče – kostela sv. Ducha jako doklad přežívajících pohanských představ na přelomu raného a vrcholného středověku (experimentální ověření a úvahy)","year":2025,"lang":"","type":"article","venue":"Archeologia technica","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Middle Ages; Czech; Interpretation (philosophy); Quarter (Canadian coin); Tower; Period (music)","score_opus":0.011499875517485577,"score_gpt":0.27952337240071246,"score_spread":0.26802349688322685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128852265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59773296,0.013251855,0.0076376284,0.0032672074,0.0010794139,0.00021401899,0.0022782215,0.00037020238,0.37416855],"genre_scores_gemma":[0.9412435,0.0027372916,0.0029519717,0.00029535528,0.00010975668,0.00006734889,0.0006044447,0.0002153106,0.051774953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997112,0.000054935128,0.000016544142,0.000077517725,0.00007736943,0.00006235743],"domain_scores_gemma":[0.9998456,0.000029317374,0.000018756018,0.00003860494,0.00003928066,0.00002838569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043689064,0.00034894905,0.000415371,0.0010811754,0.0024133022,0.0039231125,0.00025356872,0.0005445487,0.019485561],"category_scores_gemma":[0.00076017133,0.00019531457,0.0002521949,0.0009255405,0.0023604846,0.0017141846,0.0018119446,0.0018438586,0.0029496835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015260283,0.00041739867,0.028396314,0.002361834,0.00012833574,0.0047832886,0.062004186,0.0019082812,0.029227661,0.53087604,0.03652708,0.3018435],"study_design_scores_gemma":[0.00006764077,0.00032525524,0.061950676,0.00093468087,0.0000779134,0.0036119558,0.02814155,0.00053641555,0.011117991,0.01936901,0.8737755,0.000091375194],"about_ca_topic_score_codex":0.0024658907,"about_ca_topic_score_gemma":0.005792179,"teacher_disagreement_score":0.019485561,"about_ca_system_score_codex":0.0014560041,"about_ca_system_score_gemma":0.0011673132,"threshold_uncertainty_score":0.065185726},"labels":[],"label_agreement":null},{"id":"W7132166060","doi":"","title":"Středověká architektonická skulptura presbytáře chrámu sv. Ducha v Hradci Králové","year":2014,"lang":"cs","type":"article","venue":"ASEP","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Quarter (Canadian coin); Period (music); Work (physics); Subject (documents)","score_opus":0.005210564479624761,"score_gpt":0.20741188805408278,"score_spread":0.20220132357445803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132166060","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38975668,0.043274965,0.010731689,0.004425083,0.002336048,0.00016569257,0.0012676285,0.0005197403,0.54752237],"genre_scores_gemma":[0.88384616,0.006531286,0.004019404,0.00026180872,0.00015936182,0.000032056116,0.00035204826,0.00020266853,0.104595095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997713,0.000044291522,0.000011926769,0.000053046824,0.00005598786,0.000063403066],"domain_scores_gemma":[0.99994254,0.000009114399,0.000010612438,0.000011192988,0.000011923683,0.000014661053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033675018,0.00042844875,0.0003820941,0.00088039227,0.0025405167,0.00210503,0.00026119582,0.00036640768,0.011619005],"category_scores_gemma":[0.00031604888,0.00022898127,0.0001692835,0.00061021186,0.002041178,0.0006822431,0.0015166388,0.001375124,0.002069362],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007191811,0.00017957362,0.0142359985,0.0016394709,0.00009211718,0.0031165485,0.025302486,0.0041930163,0.015499315,0.53528744,0.03948284,0.36025205],"study_design_scores_gemma":[0.000030482524,0.0002116191,0.04151926,0.0005775634,0.000043609143,0.0023974364,0.0068766875,0.00043409827,0.0038674935,0.013768946,0.9302292,0.000043666783],"about_ca_topic_score_codex":0.008563005,"about_ca_topic_score_gemma":0.023173388,"teacher_disagreement_score":0.011619005,"about_ca_system_score_codex":0.0019070692,"about_ca_system_score_gemma":0.0021278406,"threshold_uncertainty_score":0.03886944},"labels":[],"label_agreement":null},{"id":"W7132189431","doi":"","title":"Zaniklá kaple olomouckých dominikánek","year":2015,"lang":"cs","type":"article","venue":"ASEP","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cloister; Quarter (Canadian coin); Function (biology); Subject (documents); Period (music)","score_opus":0.062014388008330736,"score_gpt":0.27519705152321866,"score_spread":0.21318266351488793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132189431","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20078193,0.10326352,0.018011106,0.010082649,0.0039628535,0.00016764156,0.0026041996,0.0017823047,0.6593438],"genre_scores_gemma":[0.687196,0.035095748,0.008455258,0.0010711647,0.0007558661,0.000101254394,0.0010132709,0.00074479845,0.26556665],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99986136,0.000017052671,0.000007855109,0.00003367576,0.000036033158,0.00004401758],"domain_scores_gemma":[0.9999368,0.0000098579,0.000011820031,0.000008487448,0.000015724903,0.00001732047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015814688,0.0005148491,0.00043800258,0.0012149435,0.0017535549,0.0032383264,0.00025627727,0.00042245636,0.022544421],"category_scores_gemma":[0.00037794927,0.00018179005,0.00018625737,0.0007513854,0.0012451498,0.0012208185,0.0016527656,0.0013453324,0.00398409],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000896344,0.00012941886,0.0055240695,0.0022950566,0.000058880774,0.0031158163,0.008551984,0.0016860762,0.024939235,0.24246295,0.08691436,0.6234258],"study_design_scores_gemma":[0.000018079756,0.000057706937,0.009062655,0.00051209884,0.00002537942,0.0020306616,0.0021071837,0.00047596334,0.0030499427,0.010106912,0.972518,0.000035414516],"about_ca_topic_score_codex":0.004170373,"about_ca_topic_score_gemma":0.010708175,"teacher_disagreement_score":0.022544421,"about_ca_system_score_codex":0.0012078166,"about_ca_system_score_gemma":0.001123756,"threshold_uncertainty_score":0.07541859},"labels":[],"label_agreement":null},{"id":"W7132436125","doi":"","title":"Raně novověká jímka z Pražského hradu","year":2010,"lang":"cs","type":"article","venue":"ASEP","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Polychrome; Pottery; Quarter (Canadian coin); Assemblage (archaeology); Period (music)","score_opus":0.0046702071789842415,"score_gpt":0.22849673082042618,"score_spread":0.22382652364144193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132436125","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15420456,0.03278074,0.0193677,0.0058894074,0.0038798554,0.00043788424,0.0057769255,0.0027916143,0.77487123],"genre_scores_gemma":[0.4751228,0.0151671935,0.022677254,0.0015701087,0.000795947,0.00023744872,0.0029342603,0.0017437984,0.4797512],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995389,0.000042795727,0.000031125088,0.00013836756,0.000150828,0.00009795704],"domain_scores_gemma":[0.9998437,0.00001969203,0.000025669828,0.000030943327,0.000043123226,0.00003684204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037019086,0.00071566267,0.001161962,0.0024028576,0.0037971456,0.0031777404,0.0005445799,0.0008426335,0.069468625],"category_scores_gemma":[0.0008347418,0.0005172441,0.00047861287,0.0010633401,0.0017978025,0.0020430465,0.0035273938,0.0024375764,0.022229848],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012489109,0.0003554445,0.012669693,0.0034284857,0.00018685525,0.0055800024,0.010885188,0.0020569833,0.023318086,0.14593746,0.10151689,0.692816],"study_design_scores_gemma":[0.000022835677,0.000089181754,0.012893074,0.00040239745,0.00003536056,0.0022527075,0.0015594454,0.00017200613,0.0017742068,0.004176478,0.976588,0.000034301927],"about_ca_topic_score_codex":0.0033093323,"about_ca_topic_score_gemma":0.011187938,"teacher_disagreement_score":0.069468625,"about_ca_system_score_codex":0.0011075716,"about_ca_system_score_gemma":0.0013541894,"threshold_uncertainty_score":0.23239565},"labels":[],"label_agreement":null},{"id":"W7132539495","doi":"","title":"Nové poznatky o stavebním utváření kostela sv. Michaela Archanděla v Soběšíně (z výsledků operativní dokumentace a zjišťovacího archeologického výzkumu v roce 2014)","year":2015,"lang":"cs","type":"article","venue":"ASEP","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nave; Middle Ages; Architecture; Quarter (Canadian coin); State (computer science)","score_opus":0.05055061216360691,"score_gpt":0.28391704585819055,"score_spread":0.23336643369458365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132539495","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3661216,0.04121443,0.022648115,0.0062390594,0.0017952003,0.00012861607,0.0016029152,0.00062316586,0.55962694],"genre_scores_gemma":[0.8536407,0.014824516,0.009521863,0.00031515062,0.00029104555,0.000052250467,0.0006645297,0.0003741796,0.120315805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997762,0.00003736866,0.000016798907,0.000059039066,0.00006585587,0.00004465164],"domain_scores_gemma":[0.9998858,0.000019533196,0.00002232847,0.000023449049,0.000026145786,0.000022797434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030564863,0.00032663907,0.00035792,0.0015197492,0.002137302,0.0036218937,0.00023224,0.00041070915,0.012894349],"category_scores_gemma":[0.0007083953,0.00022979442,0.00018809257,0.001550528,0.002365101,0.0015615552,0.0020777155,0.0014563618,0.0020142836],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004285734,0.00011386929,0.0166667,0.0014707498,0.000082993894,0.0023779273,0.03413636,0.0015780136,0.008084884,0.46108872,0.026098538,0.4478727],"study_design_scores_gemma":[0.000011957963,0.00010032313,0.031441867,0.0006382794,0.000042037307,0.0028682488,0.008710698,0.00037204742,0.0027206596,0.021507539,0.9315506,0.00003557396],"about_ca_topic_score_codex":0.0035893675,"about_ca_topic_score_gemma":0.01223721,"teacher_disagreement_score":0.012894349,"about_ca_system_score_codex":0.0013276094,"about_ca_system_score_gemma":0.0014434789,"threshold_uncertainty_score":0.04313594},"labels":[],"label_agreement":null},{"id":"W7135507325","doi":"","title":"The Master of Zvíkov Lamenting of Christ","year":2007,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Polychrome; Context (archaeology); Fountain; Quarter (Canadian coin); Style (visual arts); Master plan; Bachelor","score_opus":0.009117434255998633,"score_gpt":0.2540408154435811,"score_spread":0.24492338118758245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135507325","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08949983,0.05334039,0.0045238123,0.033875287,0.008378824,0.00023957533,0.001095862,0.00037192384,0.8086745],"genre_scores_gemma":[0.5321429,0.020470971,0.0028257712,0.0021420356,0.0015617525,0.00009632323,0.00053574104,0.00037674612,0.43984783],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985719,0.00022861348,0.000060563543,0.00027791454,0.00052810286,0.00033287975],"domain_scores_gemma":[0.99942195,0.000105590174,0.00006513156,0.00004588166,0.00014007583,0.00022136947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011983122,0.00054124725,0.00056364253,0.0012635377,0.004315448,0.004085467,0.00051695504,0.00077878067,0.020145874],"category_scores_gemma":[0.002825602,0.00030948047,0.000316007,0.00071371166,0.0038401443,0.0024434135,0.0035311163,0.0021213272,0.005047291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014324136,0.00009234041,0.003509964,0.00074804825,0.000019999574,0.0007641889,0.044373047,0.00057712424,0.0024217078,0.3726506,0.37419438,0.20050539],"study_design_scores_gemma":[0.0000056010595,0.00003264501,0.0029890314,0.0002861882,0.0000033783301,0.00038654683,0.0044575506,0.00005252441,0.0005804034,0.007549179,0.9836446,0.000012385084],"about_ca_topic_score_codex":0.0070285485,"about_ca_topic_score_gemma":0.009667701,"teacher_disagreement_score":0.020145874,"about_ca_system_score_codex":0.0038966066,"about_ca_system_score_gemma":0.0056933444,"threshold_uncertainty_score":0.067394614},"labels":[],"label_agreement":null},{"id":"W7135725652","doi":"","title":"Graphic decoration of the most important prints of Paul Severino of the Kapi Hora and his followers","year":2012,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bronze; Criticism; Quarter (Canadian coin)","score_opus":0.004989705147558376,"score_gpt":0.2106841853267834,"score_spread":0.20569448017922504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135725652","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019404747,0.009112783,0.0010119329,0.012866037,0.0041366015,0.000037534774,0.0004050533,0.00023792217,0.9527873],"genre_scores_gemma":[0.22662118,0.004509257,0.001113591,0.002407631,0.0012712359,0.000051666644,0.00022768453,0.00053520594,0.7632626],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969053,0.000113893846,0.000006975047,0.00005187987,0.000083581035,0.000053200198],"domain_scores_gemma":[0.9995815,0.00017830955,0.000047599457,0.00004535834,0.00007301051,0.00007427861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029451173,0.0008111046,0.00021883112,0.0014736848,0.008244257,0.004325594,0.00042771277,0.0010530299,0.04889143],"category_scores_gemma":[0.0011976607,0.0002210521,0.00018804237,0.0018485043,0.003869264,0.0018734596,0.001961247,0.0022219054,0.005810476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017501398,0.00004214644,0.0014694444,0.00040419164,0.000015098988,0.001269129,0.10816875,0.00020530971,0.0018383162,0.20852691,0.6209104,0.056975327],"study_design_scores_gemma":[0.000003095691,0.0000098675155,0.001548527,0.00013351059,0.000002493486,0.00024613636,0.010106075,0.000034549044,0.00026634862,0.0014858219,0.9861558,0.000007864985],"about_ca_topic_score_codex":0.009934692,"about_ca_topic_score_gemma":0.040036965,"teacher_disagreement_score":0.04889143,"about_ca_system_score_codex":0.0018406389,"about_ca_system_score_gemma":0.00088804815,"threshold_uncertainty_score":0.16355813},"labels":[],"label_agreement":null},{"id":"W7160202064","doi":"10.1109/iccv51701.2025.00858","title":"Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images","year":2025,"lang":"","type":"article","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Amodal perception; Iterative reconstruction; 3D reconstruction; Object (grammar); Pattern recognition (psychology)","score_opus":0.007666462462421256,"score_gpt":0.23767260415498098,"score_spread":0.23000614169255973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160202064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065473956,0.00033593533,0.97066665,0.0002350892,0.00015745302,0.00012534445,0.0016571989,0.01820675,0.0020681685],"genre_scores_gemma":[0.04282043,0.00052038726,0.9431166,0.00033126224,0.0001100606,0.00015990817,0.003888857,0.005681938,0.003370475],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990183,0.00012386104,0.000030641535,0.00013470119,0.00059655803,0.000095946445],"domain_scores_gemma":[0.9992829,0.00022554045,0.0000468186,0.00024436953,0.00013156235,0.00006884251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093750487,0.0021720384,0.0012824056,0.0019243987,0.00047144978,0.0023515553,0.00251712,0.00242648,0.02596364],"category_scores_gemma":[0.0023040364,0.0014069397,0.0016290692,0.0015288637,0.0006740081,0.002016453,0.0041608093,0.0019874137,0.0071489057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011325224,0.0002842405,0.00090326613,0.0009125457,0.00033475654,0.00071505597,0.00030573178,0.032763254,0.11418866,0.012146483,0.068407394,0.76790595],"study_design_scores_gemma":[0.00018553883,0.00022291856,0.0011643663,0.0001111585,0.00009505278,0.0019220171,0.00012272353,0.81369215,0.107902,0.01985953,0.054536253,0.00018626092],"about_ca_topic_score_codex":0.0015194156,"about_ca_topic_score_gemma":0.0033841915,"teacher_disagreement_score":0.02596364,"about_ca_system_score_codex":0.00034859416,"about_ca_system_score_gemma":0.0007195103,"threshold_uncertainty_score":0.08685702},"labels":[],"label_agreement":null},{"id":"W830263551","doi":"10.6067/xcv8057gt7","title":"IDENTIFICATION AND AMS RADIOCARBON DATING OF A WOOD SAMPLE FROM SITE HfSf-8, BRITISH COLUMBIA, CANADA","year":2013,"lang":"en","type":"article","venue":"The Digital Archeological Record (tDAR)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiocarbon dating; Archaeology; Sample (material); Identification (biology); Geology; Geography; Chemistry","score_opus":0.00839436362586307,"score_gpt":0.18423038098393704,"score_spread":0.17583601735807397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W830263551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98569393,0.00019453613,0.00055338227,0.00004512327,0.000008605179,0.00010978824,0.005226193,0.000019411405,0.0081491545],"genre_scores_gemma":[0.9752295,0.00024360059,0.0030706888,0.00008841825,0.0000039784286,0.000084388914,0.0038445706,0.000024379826,0.017410414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972135,0.000008029626,0.000013513042,0.00006579971,0.00010911801,0.000082180726],"domain_scores_gemma":[0.9993568,0.000018508958,0.000032526892,0.000018680117,0.00050899497,0.00006437721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015448603,0.00023752564,0.00022070418,0.0024389697,0.0033956037,0.0006035106,0.0008450441,0.00030765185,0.0027167227],"category_scores_gemma":[0.0003743678,0.00020257165,0.00011673553,0.003706184,0.00041916475,0.00015144922,0.00026041575,0.00027081772,0.0008811166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050992816,0.00024760314,0.75768125,0.00016955147,0.0000483365,0.0023107042,0.007892892,0.0007866189,0.10648925,0.00056603836,0.0074848933,0.11581295],"study_design_scores_gemma":[0.0000046948526,0.000025624971,0.9884856,0.00001692703,0.000010686164,0.00020674136,0.0021165316,0.00024637385,0.002624151,0.000020546659,0.006233521,0.000008526327],"about_ca_topic_score_codex":0.9789451,"about_ca_topic_score_gemma":0.9950382,"teacher_disagreement_score":0.021054924,"about_ca_system_score_codex":0.0050726314,"about_ca_system_score_gemma":0.0063592,"threshold_uncertainty_score":0.042357802},"labels":[],"label_agreement":null},{"id":"W998211110","doi":"","title":"Images and Illusions from Orthogonal Pairs of Ellipses","year":2012,"lang":"en","type":"article","venue":"Proceedings of Bridges 2012: Mathematics, Music, Art, Architecture, Culture","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ellipse; Artificial intelligence; Trigonometry; Orientation (vector space); Creatures; Illusion; Computer vision; Position (finance); Geometry; Computer graphics (images); Mathematics; Computer science; Combinatorics; Geology; Psychology; Paleontology","score_opus":0.013101454776460991,"score_gpt":0.21728889980583616,"score_spread":0.20418744502937516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W998211110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29413277,0.002266937,0.4371491,0.0038163194,0.00094970793,0.00009125603,0.0003692857,0.0011641781,0.26006052],"genre_scores_gemma":[0.8604853,0.0008064595,0.1172688,0.0005054758,0.00017252732,0.000058193247,0.00021374716,0.0004186992,0.020070814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964106,0.00011778501,0.000012119134,0.00006559645,0.000119968,0.000043369837],"domain_scores_gemma":[0.9994388,0.00022636373,0.00007890317,0.00012441273,0.00009040256,0.000041025443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037547672,0.00037036557,0.00015958823,0.00083703856,0.0008236581,0.0022536446,0.00035424717,0.0005133763,0.0062368927],"category_scores_gemma":[0.0028849137,0.0002770107,0.00037716157,0.00048263738,0.0027958478,0.0027227767,0.0022596205,0.0012309725,0.00086719776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026202895,0.000015583686,0.00086788245,0.00015463689,0.000024389763,0.00053168373,0.007224739,0.0035065152,0.019646673,0.8859919,0.007054529,0.07471951],"study_design_scores_gemma":[0.00012391852,0.00022835347,0.004490836,0.00028129734,0.0000770798,0.0047418345,0.009107392,0.032130484,0.03395057,0.59998405,0.3146879,0.00019630192],"about_ca_topic_score_codex":0.00054019975,"about_ca_topic_score_gemma":0.0005412187,"teacher_disagreement_score":0.0062368927,"about_ca_system_score_codex":0.0004095581,"about_ca_system_score_gemma":0.0001684297,"threshold_uncertainty_score":0.020864427},"labels":[],"label_agreement":null}]}