{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":725,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":725,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"d3f510508986","filters":{"topic":"Image Processing and 3D Reconstruction"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"James Conolly","is_ca":true},{"name":"Mark Lake","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007221940427207537,"gpt":0.1732965002851181,"spread":0.1660745598579106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00228182,0.00110335,0.001304946,0.003310483,0.001715934,0.01272016,0.001224026,0.003075415,0.024459],"category_scores_gemma":[0.005705272,0.0006758671,0.0004858646,0.01207936,0.006212881,0.01098067,0.003986395,0.004012233,0.01010662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004094409,"about_ca_system_score_gemma":0.003930117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004568592,"about_ca_topic_score_gemma":0.003809158,"domain_scores_codex":[0.9965731,0.001743495,0.0002807372,0.0002961262,0.0009428738,0.0001636219],"domain_scores_gemma":[0.9961144,0.002774416,0.0001599062,0.0003826107,0.0004298672,0.0001387891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007116868,0.00001286061,0.0002044102,0.0007282639,0.00001865092,0.0001501313,0.002581321,0.000709297,0.00009837967,0.6494735,0.2159071,0.130109],"study_design_scores_gemma":[0.000002660963,0.000007111638,0.0002457515,0.0006334441,0.000004075859,0.0001759846,0.0007272781,0.0002784089,0.00003670023,0.1207836,0.8770969,0.000008231703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001561906,0.3667239,0.03920104,0.03649991,0.006493882,0.0001557443,0.000926386,0.0008789419,0.5475584],"genre_scores_gemma":[0.07283339,0.4643734,0.0663088,0.01391462,0.008710337,0.0006690742,0.003006337,0.001078333,0.3691058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.024459,"threshold_uncertainty_score":0.08182353,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Mu Zhu","is_ca":true},{"name":"Ali Ghodsi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04932169699503142,"gpt":0.2850637048416966,"spread":0.2357420078466652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007991192,0.002365472,0.003131598,0.004554691,0.00160115,0.004658341,0.001850618,0.00132737,0.00647895],"category_scores_gemma":[0.05481106,0.001154359,0.002233592,0.002697119,0.001001369,0.003907714,0.003855054,0.003587657,0.005105979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428256,"about_ca_system_score_gemma":0.002191579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009248428,"about_ca_topic_score_gemma":0.00134337,"domain_scores_codex":[0.9942321,0.003255643,0.0003773832,0.0009151453,0.0009611576,0.0002584386],"domain_scores_gemma":[0.9792366,0.0139735,0.0009521447,0.002818349,0.002537823,0.0004815403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001044384,0.0004697793,0.01221677,0.0008130175,0.000474772,0.0005546275,0.001261761,0.03504168,0.04397263,0.03493342,0.02024108,0.8489761],"study_design_scores_gemma":[0.0002030352,0.0001872129,0.007033146,0.0001151893,0.0001373235,0.0007195888,0.000353839,0.8697097,0.024096,0.08882599,0.008333076,0.0002858619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008286545,0.00009493605,0.9878448,0.0001309597,0.00002735121,0.00006765203,0.0001948045,0.002965459,0.0003874996],"genre_scores_gemma":[0.09413823,0.000172821,0.9013134,0.00009926433,0.00004159008,0.0003248305,0.001322053,0.001956303,0.0006315248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007991192,"threshold_uncertainty_score":0.04226196,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"W. Steffen","is_ca":false},{"name":"Nicholas Koning","is_ca":true},{"name":"Stephan Wenger","is_ca":false},{"name":"C. Morisset","is_ca":false},{"name":"Marcus Magnor","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01522937223068573,"gpt":0.2615362609358107,"spread":0.246306888705125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008357745,0.0018776,0.00102241,0.001872048,0.0008451065,0.002369775,0.003378413,0.001853101,0.02298058],"category_scores_gemma":[0.00274668,0.001380018,0.002364135,0.001368627,0.0008975005,0.002002697,0.004641954,0.002519819,0.008084276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462794,"about_ca_system_score_gemma":0.0008990146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002521652,"about_ca_topic_score_gemma":0.00290843,"domain_scores_codex":[0.9993384,0.00008838764,0.00004650058,0.00008150654,0.0003975017,0.00004758698],"domain_scores_gemma":[0.9991934,0.0003351651,0.00006006086,0.0001900703,0.0001418693,0.00007950006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003362834,0.0001422103,0.002900087,0.001194069,0.0002695933,0.001116621,0.00110818,0.175367,0.03850209,0.07087754,0.1709803,0.5372059],"study_design_scores_gemma":[0.0001095627,0.0000625002,0.000767323,0.0001894383,0.0000693758,0.001103071,0.00009508355,0.6135089,0.02403384,0.03794906,0.3219179,0.0001939118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009903564,0.0001078817,0.9648181,0.0001458023,0.00007289011,0.00004998159,0.001225156,0.03060932,0.001980475],"genre_scores_gemma":[0.05142384,0.000984892,0.9154842,0.0003848115,0.00009673542,0.0006416634,0.006649442,0.01848425,0.005850209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02298058,"threshold_uncertainty_score":0.07687765,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Yunhai Wang","is_ca":false},{"name":"Minglun Gong","is_ca":true},{"name":"Tianhua Wang","is_ca":false},{"name":"Daniel Cohen‐Or","is_ca":false},{"name":"Hao Zhang","is_ca":true},{"name":"Baoquan Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02160198708998208,"gpt":0.2657111968470783,"spread":0.2441092097570962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447475,0.001519701,0.001220483,0.003680822,0.001042186,0.003856164,0.002261165,0.001527384,0.005836272],"category_scores_gemma":[0.005458153,0.001193096,0.002268101,0.00318393,0.002581367,0.003409357,0.003868777,0.002383698,0.003025117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488459,"about_ca_system_score_gemma":0.001349407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00278265,"about_ca_topic_score_gemma":0.002839119,"domain_scores_codex":[0.9977223,0.0004000182,0.0001211805,0.000587922,0.0009925494,0.0001759688],"domain_scores_gemma":[0.9977649,0.0005739739,0.0002632197,0.0007861863,0.0005157873,0.00009593397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001650489,0.00007759436,0.002324143,0.0004520304,0.0002010051,0.0004866363,0.000708051,0.2249428,0.04503867,0.2701333,0.009545402,0.4459254],"study_design_scores_gemma":[0.000009421191,0.00006221101,0.0009265742,0.0000469472,0.00003237783,0.0004341784,0.000129617,0.8448668,0.01539317,0.1212382,0.01680419,0.00005647596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001313634,0.00008115669,0.9969088,0.00005400522,0.00001246132,0.0000221714,0.0000993435,0.0007135447,0.0007949095],"genre_scores_gemma":[0.09543431,0.0005097732,0.9001682,0.0001539159,0.00009774455,0.0001730028,0.001208572,0.0008546675,0.001399745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005836272,"threshold_uncertainty_score":0.01952428,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Youyi Zheng","is_ca":true},{"name":"Daniel Cohen‐Or","is_ca":false},{"name":"Melinos Averkiou","is_ca":false},{"name":"Niloy J. Mitra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01133040114975422,"gpt":0.2199569125114252,"spread":0.208626511361671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001663891,0.0009608434,0.001708648,0.008444094,0.001366724,0.003860087,0.002150339,0.001721654,0.002754666],"category_scores_gemma":[0.00605905,0.001142113,0.001796487,0.006598934,0.002565262,0.002911638,0.003437271,0.001124755,0.001488309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159448,"about_ca_system_score_gemma":0.0009399251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004399447,"about_ca_topic_score_gemma":0.007055048,"domain_scores_codex":[0.9967759,0.0004175779,0.0002060689,0.001195958,0.001075946,0.000328554],"domain_scores_gemma":[0.9948737,0.001653753,0.0009656536,0.001562068,0.0007001102,0.0002447304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009469833,0.0002569934,0.0635026,0.0007952751,0.000714288,0.002169107,0.00342,0.1539083,0.1155164,0.02218807,0.00714614,0.6294358],"study_design_scores_gemma":[0.00003611125,0.0002738874,0.0440501,0.0001401079,0.0002873405,0.003033842,0.001759018,0.8286258,0.0470704,0.05913321,0.01544428,0.0001459793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2930841,0.0008924104,0.6937638,0.0001933742,0.000043694,0.0002971648,0.00088813,0.006838216,0.003999039],"genre_scores_gemma":[0.6712506,0.0003486243,0.3223799,0.0001097104,0.00004447005,0.0001247935,0.002665414,0.001198456,0.001878088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008444094,"threshold_uncertainty_score":0.009215236,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Costis Dallas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03335490020591987,"gpt":0.2963463635681711,"spread":0.2629914633622512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03010651,0.0004860225,0.0008503534,0.002660567,0.00871776,0.02048067,0.00374711,0.004000846,0.007063023],"category_scores_gemma":[0.02627295,0.0005997887,0.0005039517,0.003434422,0.07099365,0.02328375,0.02663327,0.004804029,0.0009705561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008610304,"about_ca_system_score_gemma":0.01455285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793677,"about_ca_topic_score_gemma":0.002293263,"domain_scores_codex":[0.9716242,0.02237594,0.0006665731,0.001866846,0.002358931,0.001107506],"domain_scores_gemma":[0.9495285,0.03504279,0.001958989,0.009929452,0.002043125,0.001497215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009933954,0.0004660219,0.003943047,0.0008261934,0.00002597169,0.0005158213,0.1673337,0.001442038,0.001283802,0.7365875,0.003621156,0.08385546],"study_design_scores_gemma":[0.00007456002,0.0002150549,0.002195772,0.002080813,0.00002628313,0.0004310578,0.211359,0.00227969,0.002839269,0.5782074,0.2002342,0.00005694759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2954161,0.01182261,0.3649047,0.1022951,0.0007590748,0.001120358,0.0001543977,0.0007185425,0.2228093],"genre_scores_gemma":[0.9566694,0.001758291,0.03573713,0.00102348,0.00009268908,0.0004430372,0.00003606473,0.0001108028,0.004129161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9795193,"threshold_uncertainty_score":0.1592203,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Multifractal system; Tillage; Mathematics; Box counting; Geology; Fractal; Fractal dimension; Fractal analysis; Mathematical analysis","authors":[{"name":"Iván G. Torre","is_ca":false},{"name":"Juan Carlos Losada","is_ca":false},{"name":"Richard J. Heck","is_ca":true},{"name":"Ana M. Tarquís","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01161128840473843,"gpt":0.2599297396354157,"spread":0.2483184512306773,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001681179,0.0002679668,0.0001692827,0.00273038,0.0001841933,0.0005009293,0.0001988605,0.0002951662,0.001877608],"category_scores_gemma":[0.0005449581,0.0001764927,0.0003249215,0.001153403,0.0001587508,0.0003610492,0.0002138535,0.0002802727,0.0003484607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003074015,"about_ca_system_score_gemma":0.0003489269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004261321,"about_ca_topic_score_gemma":0.006648714,"domain_scores_codex":[0.9998871,0.00001067034,0.000004664854,0.00001927916,0.00005372454,0.00002448375],"domain_scores_gemma":[0.9997255,0.00007340701,0.00004376065,0.00003427555,0.0001048593,0.00001821726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003755856,0.0001323381,0.01196648,0.0003574568,0.00008644707,0.0004333855,0.0005157158,0.04596567,0.6126615,0.002216993,0.002074324,0.3232141],"study_design_scores_gemma":[0.00001930177,0.00009158909,0.1740252,0.00003956701,0.0000902031,0.00109158,0.0003948027,0.7027995,0.1127792,0.001876511,0.006709011,0.00008359945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7595976,0.000765646,0.2334255,0.0002288714,0.00004016628,0.00006030473,0.001460265,0.001387613,0.003033886],"genre_scores_gemma":[0.9089699,0.0004886352,0.08857322,0.0000237085,0.00002907199,0.00002054472,0.0007191551,0.0001385997,0.001037244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004261321,"threshold_uncertainty_score":0.008473039,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Shuhua Li","is_ca":true},{"name":"Ali Mahdavi‐Amiri","is_ca":true},{"name":"Ruizhen Hu","is_ca":false},{"name":"Han Liu","is_ca":true},{"name":"Changqing Zou","is_ca":false},{"name":"Oliver van Kaick","is_ca":true},{"name":"Xiuping Liu","is_ca":false},{"name":"Hui Huang","is_ca":false},{"name":"Hao Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520738173782491,"gpt":0.2392978014158993,"spread":0.2240904196780744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004027017,0.0005089826,0.0004509264,0.0006307945,0.0004204363,0.0009477671,0.0009111302,0.0006374464,0.003583896],"category_scores_gemma":[0.001546878,0.0005176786,0.0007776045,0.000464625,0.001010943,0.001315716,0.001480894,0.001170858,0.001174083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000341965,"about_ca_system_score_gemma":0.0003289077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001528354,"about_ca_topic_score_gemma":0.0002571697,"domain_scores_codex":[0.9994804,0.00005407864,0.00002582174,0.0001228407,0.0002444423,0.00007235989],"domain_scores_gemma":[0.999531,0.0001437904,0.00005597851,0.0001880311,0.00005082355,0.00003031668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001549233,0.00009318059,0.001218395,0.0002531611,0.00004131907,0.0008138653,0.0004813451,0.1433771,0.3215924,0.3489697,0.002575567,0.180429],"study_design_scores_gemma":[0.00005448284,0.0003093727,0.000561669,0.00004652411,0.00002414915,0.00132133,0.0001506998,0.5060955,0.3571162,0.09814856,0.03607842,0.00009307907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07849541,0.0001450121,0.9068326,0.00009490173,0.00007947309,0.00007403624,0.0001193659,0.000811866,0.01334736],"genre_scores_gemma":[0.5186511,0.0002543,0.4740784,0.0001093282,0.00003193439,0.0001509971,0.0003305342,0.0003805191,0.006012883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003583896,"threshold_uncertainty_score":0.01198936,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Zishan Xu","is_ca":false},{"name":"Zhang Xiao-feng","is_ca":false},{"name":"Wei Chen","is_ca":false},{"name":"Jueting Liu","is_ca":false},{"name":"Tingting Xu","is_ca":false},{"name":"Zehua Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03954619080813793,"gpt":0.328253793318908,"spread":0.2887076025107701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006821216,0.0008220049,0.0006957779,0.0011102,0.0004163839,0.0005359877,0.001237942,0.0009139433,0.002057033],"category_scores_gemma":[0.001758121,0.0002853756,0.0007278884,0.0005889129,0.000391876,0.001078817,0.00103392,0.0009991879,0.0007964604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309971,"about_ca_system_score_gemma":0.0007554416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006491012,"about_ca_topic_score_gemma":0.0112867,"domain_scores_codex":[0.9996953,0.00004088882,0.00001611631,0.00009493226,0.0001061442,0.00004662005],"domain_scores_gemma":[0.9995446,0.000110808,0.00004765011,0.00009831651,0.0001618934,0.00003664515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003866581,0.0001738187,0.003238307,0.000258898,0.00008695126,0.0002069316,0.0001762165,0.1247,0.06289863,0.003325212,0.006577634,0.7979707],"study_design_scores_gemma":[0.00001234954,0.00006587766,0.001275547,0.00001321614,0.00001718584,0.0001281474,0.00004540873,0.9817131,0.01241638,0.001028329,0.003269366,0.00001509358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08269372,0.0008208874,0.9088247,0.0003099993,0.0001641365,0.0001235407,0.0003275049,0.003927191,0.002808334],"genre_scores_gemma":[0.4677553,0.0007171025,0.5181355,0.0002337014,0.0000774617,0.0001657926,0.001759785,0.0004895739,0.01066584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006491012,"threshold_uncertainty_score":0.01290643,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geographic information system; Ethnology; Archaeology; Library science; Humanities; Geography; History; Cartography; Art; Computer science","authors":[{"name":"David Daniel Ebert","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008904658562441345,"gpt":0.2230551990048936,"spread":0.2141505404424523,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005728829,0.001071245,0.0005744582,0.007359023,0.002440877,0.009824682,0.002220748,0.001837967,0.02214832],"category_scores_gemma":[0.01408143,0.0006730619,0.0007971298,0.01158319,0.003347774,0.005015122,0.007344998,0.001627156,0.004821123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003322955,"about_ca_system_score_gemma":0.004506174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008414064,"about_ca_topic_score_gemma":0.009997374,"domain_scores_codex":[0.9923527,0.003786736,0.0005744961,0.00070403,0.002202413,0.000379661],"domain_scores_gemma":[0.9908397,0.00430129,0.0004863666,0.002053625,0.001993124,0.0003259395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000824828,0.00006358053,0.006798035,0.001133344,0.00009254566,0.001005752,0.007519097,0.005536182,0.001600764,0.4594188,0.05411877,0.4626307],"study_design_scores_gemma":[0.000009580748,0.00002167708,0.001459021,0.0005363236,0.00002231952,0.0007464135,0.004022713,0.00218397,0.0009581805,0.06386078,0.9261471,0.00003188233],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01597721,0.02002136,0.2467786,0.02035765,0.002445787,0.0005735545,0.002964933,0.002919161,0.6879616],"genre_scores_gemma":[0.3674185,0.0437402,0.4744583,0.003783952,0.002156872,0.0007893337,0.003436967,0.001127552,0.1030883],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02214832,"threshold_uncertainty_score":0.07409346,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Hui Huang","is_ca":false},{"name":"Kangxue Yin","is_ca":false},{"name":"Minglun Gong","is_ca":true},{"name":"Dani Lischinski","is_ca":false},{"name":"Daniel Cohen‐Or","is_ca":false},{"name":"Uri M. Ascher","is_ca":true},{"name":"Baoquan Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02177921022371893,"gpt":0.2371995328290099,"spread":0.2154203226052909,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490879,0.001242538,0.0007709258,0.001110194,0.001114523,0.002489454,0.002420892,0.00202177,0.01289583],"category_scores_gemma":[0.004933737,0.0008333065,0.000966072,0.0006265297,0.003106668,0.005167839,0.004660126,0.00292217,0.005028047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005513342,"about_ca_system_score_gemma":0.0009406162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008574234,"about_ca_topic_score_gemma":0.001353124,"domain_scores_codex":[0.998975,0.0001927252,0.00003501074,0.00036071,0.0003560219,0.00008049173],"domain_scores_gemma":[0.9982771,0.0003530952,0.0001089791,0.0009442968,0.0001964715,0.0001201044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005916034,0.00008650905,0.001529017,0.000635174,0.0001730248,0.0006524587,0.002319292,0.02665123,0.09805766,0.2215394,0.03310171,0.6146628],"study_design_scores_gemma":[0.00009371014,0.0003043488,0.002100261,0.0003084272,0.0001349059,0.002362577,0.001516002,0.2113944,0.10977,0.3205924,0.3512483,0.0001746005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009842767,0.0003639071,0.9781417,0.001020376,0.0002335643,0.00005934714,0.00008246153,0.002242802,0.008013058],"genre_scores_gemma":[0.1294807,0.000504003,0.8543985,0.0007619317,0.0001939393,0.00008912494,0.0003110558,0.00155024,0.01271046],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01289583,"threshold_uncertainty_score":0.04314083,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Edward B. Banning","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04016041002470239,"gpt":0.2902649024255461,"spread":0.2501044924008437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2934621,0.0009435432,0.003068505,0.004458981,0.005617807,0.01007114,0.004918082,0.01095701,0.005086365],"category_scores_gemma":[0.4351128,0.001672776,0.001200354,0.005352689,0.09953119,0.03816203,0.008137966,0.02305615,0.00123405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01249315,"about_ca_system_score_gemma":0.008349652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009763893,"about_ca_topic_score_gemma":0.006904698,"domain_scores_codex":[0.786834,0.1700659,0.008832331,0.01638138,0.0163029,0.001583527],"domain_scores_gemma":[0.48618,0.4659058,0.0103433,0.01896055,0.01547772,0.003132638],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002782848,0.00006276405,0.00541522,0.001494018,0.00009422026,0.0001803607,0.01993642,0.0006010375,0.0001448599,0.7458252,0.03018777,0.1957798],"study_design_scores_gemma":[0.0001099284,0.0002602392,0.003870846,0.006233588,0.00005516023,0.000597374,0.008615121,0.002404404,0.0005183805,0.7686997,0.2084739,0.0001612537],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0119482,0.2200847,0.1499163,0.5865095,0.01220193,0.0002903133,0.0001919539,0.0002204097,0.01863679],"genre_scores_gemma":[0.3715818,0.1797673,0.1592546,0.2364081,0.04165964,0.002544593,0.0002330946,0.0009005722,0.007650426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7065378,"threshold_uncertainty_score":0.871287,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Computer science","authors":[{"name":"F.G. Callari","is_ca":true},{"name":"Frank P. Ferrie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01985287568866598,"gpt":0.2961526380404144,"spread":0.2762997623517484,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701509,0.001050024,0.001584146,0.002449687,0.0006762723,0.0025714,0.001995164,0.002110446,0.00386443],"category_scores_gemma":[0.004286573,0.0008607933,0.0010229,0.00210607,0.001733938,0.004416252,0.001774016,0.002117229,0.001687944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000573357,"about_ca_system_score_gemma":0.0005469746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018628,"about_ca_topic_score_gemma":0.0009579165,"domain_scores_codex":[0.9989268,0.0001289335,0.0000436731,0.0003639833,0.0004148325,0.0001217021],"domain_scores_gemma":[0.9984052,0.0005648557,0.0001504048,0.000341398,0.0003916158,0.0001465601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008149786,0.0002133695,0.003318216,0.0003229492,0.0001255157,0.0001306959,0.0003144311,0.007983578,0.1264236,0.02031857,0.003416148,0.836618],"study_design_scores_gemma":[0.0002038714,0.0007192855,0.009901189,0.0001419324,0.0003669994,0.00210436,0.0008010053,0.5858443,0.2096767,0.1703474,0.0197091,0.0001839074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03839969,0.001210763,0.955726,0.0003786138,0.0002121732,0.0000674518,0.0001166984,0.0009627693,0.002925775],"genre_scores_gemma":[0.4494672,0.001495707,0.5414381,0.0004628383,0.0002846881,0.0001456842,0.0004797282,0.0006522066,0.005573857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00386443,"threshold_uncertainty_score":0.01292783,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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)","authors":[{"name":"Hui Huang","is_ca":false},{"name":"Minglun Gong","is_ca":true},{"name":"Daniel Cohen‐Or","is_ca":false},{"name":"Yaobin Ouyang","is_ca":false},{"name":"Fuwen Tan","is_ca":false},{"name":"Hao Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03077409734729587,"gpt":0.2842266811336229,"spread":0.2534525837863271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038943,0.0008593038,0.001012349,0.00185323,0.0007264481,0.001082179,0.001560638,0.001226942,0.003440972],"category_scores_gemma":[0.002200342,0.0007846716,0.001271371,0.001086882,0.00112742,0.001521969,0.002243795,0.001502966,0.001727631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006097389,"about_ca_system_score_gemma":0.0009701664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535813,"about_ca_topic_score_gemma":0.001787613,"domain_scores_codex":[0.9991167,0.0001231053,0.00004435405,0.0001977053,0.0004481365,0.00006991781],"domain_scores_gemma":[0.9991781,0.0001928721,0.0001064623,0.0002753554,0.0001994014,0.00004778871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003077771,0.000172906,0.001169852,0.0002016294,0.00008012134,0.000264496,0.0005379592,0.209235,0.1980101,0.03018845,0.003744755,0.5560869],"study_design_scores_gemma":[0.00002544703,0.0001093804,0.0003909475,0.00001354199,0.00001851897,0.000396222,0.00007186695,0.9151594,0.06479262,0.01172685,0.007246123,0.00004907724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004951704,0.00002378833,0.9935161,0.00001653628,0.00001149222,0.00002935189,0.00001210663,0.0009816831,0.0004573216],"genre_scores_gemma":[0.1180277,0.00006056052,0.879178,0.00004863057,0.00001794747,0.00008195596,0.0001463387,0.0006836473,0.001755217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003440972,"threshold_uncertainty_score":0.01151121,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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)","authors":[{"name":"Kamil Zaniewski","is_ca":true},{"name":"J.J.M. van der Meer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01540115106117484,"gpt":0.256265700999823,"spread":0.2408645499386481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004656319,0.00040991,0.0002758768,0.002541902,0.0003624518,0.001149497,0.0003283156,0.0004392368,0.002738244],"category_scores_gemma":[0.0005448805,0.0003268674,0.0001964039,0.0008819624,0.0004487637,0.0006342207,0.0003966506,0.0006007843,0.0005880665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003246865,"about_ca_system_score_gemma":0.000353885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007334397,"about_ca_topic_score_gemma":0.001051574,"domain_scores_codex":[0.9998527,0.00001751471,0.00000932288,0.00003196245,0.00006150456,0.00002698859],"domain_scores_gemma":[0.9996495,0.00008464453,0.00006279872,0.00006485745,0.0001114723,0.00002673439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001295323,0.00004158945,0.001482428,0.0002008151,0.00001953121,0.00009370413,0.0001220906,0.00218716,0.9411631,0.002512956,0.0003024619,0.05174466],"study_design_scores_gemma":[0.00001760474,0.00007891206,0.01969842,0.00005449943,0.00004864692,0.000678639,0.0001159558,0.0747695,0.8963647,0.001680549,0.006450118,0.00004234159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.542163,0.001351851,0.4433266,0.0001925766,0.00006199859,0.0001438967,0.0006032727,0.0023627,0.009794203],"genre_scores_gemma":[0.6757962,0.001306741,0.3149448,0.00007401301,0.00002891947,0.0001293625,0.0004732446,0.0005049168,0.006741925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002738244,"threshold_uncertainty_score":0.00916034,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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","authors":[{"name":"Dominique Stutzmann","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06378419569642199,"gpt":0.345474830180948,"spread":0.281690634484526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1329751,0.001807631,0.001276422,0.00663671,0.003032057,0.004532741,0.004611982,0.00290355,0.005019287],"category_scores_gemma":[0.2214637,0.001102521,0.001534906,0.005221589,0.004446374,0.003624274,0.006245087,0.001508013,0.003065026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00651153,"about_ca_system_score_gemma":0.008473461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004752021,"about_ca_topic_score_gemma":0.004311432,"domain_scores_codex":[0.852102,0.09619451,0.01717885,0.006897939,0.02572108,0.001905607],"domain_scores_gemma":[0.7571294,0.083725,0.01751572,0.02757626,0.1102763,0.003777224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01685234,0.01291698,0.06996212,0.009455203,0.001008494,0.000811698,0.02093256,0.03519266,0.02825574,0.01956355,0.03939265,0.745656],"study_design_scores_gemma":[0.009294552,0.03061425,0.2811798,0.007031205,0.00198235,0.001436253,0.03668634,0.2032111,0.1619473,0.03321658,0.2318809,0.001519294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.294016,0.0009047891,0.3282866,0.001170433,0.000352346,0.3401735,0.01349337,0.002590149,0.01901281],"genre_scores_gemma":[0.2536806,0.0004948992,0.3011132,0.0003739573,0.0001304859,0.4211798,0.01895963,0.0005623146,0.003505024],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1329751,"threshold_uncertainty_score":0.7032482,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial intelligence; Road traffic; Computer vision; Data science; Transport engineering; Engineering","authors":[{"name":"Hasib Zunair","is_ca":true},{"name":"Shakib Khan","is_ca":true},{"name":"A. Ben Hamza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04396745961224191,"gpt":0.29457773657738,"spread":0.2506102769651381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006998489,0.004451852,0.002021657,0.003922395,0.001493884,0.001949557,0.004882884,0.003800918,0.01356865],"category_scores_gemma":[0.00361438,0.0008667178,0.002399445,0.004289637,0.0007026255,0.002315587,0.003028876,0.00241625,0.02398238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932841,"about_ca_system_score_gemma":0.001921862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06064035,"about_ca_topic_score_gemma":0.1137651,"domain_scores_codex":[0.9980887,0.0001702943,0.0001463113,0.0007120454,0.0005911412,0.0002914958],"domain_scores_gemma":[0.9985514,0.0002260441,0.00009832726,0.0005070177,0.0004689791,0.0001481703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006174652,0.0004919273,0.005238873,0.002458214,0.0002881567,0.0004938811,0.000253207,0.006134345,0.005901083,0.0009272239,0.8918384,0.08535716],"study_design_scores_gemma":[0.000467716,0.0003933509,0.04572665,0.0009285265,0.0003046515,0.001504683,0.001201311,0.05737064,0.021234,0.004459495,0.8660389,0.0003701215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02460703,0.002086119,0.008051624,0.000428201,0.0004690401,0.0005010531,0.9201968,0.03366091,0.009999268],"genre_scores_gemma":[0.01278234,0.00019114,0.009198785,0.00009331627,0.00002352983,0.000188161,0.9755319,0.0005157936,0.001475094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06064035,"threshold_uncertainty_score":0.1205748,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Oscar Garcı́a","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04768651550920183,"gpt":0.2700057997363286,"spread":0.2223192842271268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005167102,0.0008839803,0.000916013,0.003656152,0.0005844677,0.001688931,0.001057674,0.0009368722,0.0009465429],"category_scores_gemma":[0.01203252,0.0004923473,0.001090977,0.0025706,0.0003179526,0.002128264,0.0006973828,0.0005907836,0.0006734802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007439743,"about_ca_system_score_gemma":0.0009194529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009802575,"about_ca_topic_score_gemma":0.02243732,"domain_scores_codex":[0.9986853,0.0005724248,0.00009140376,0.0002832433,0.0002765477,0.00009101773],"domain_scores_gemma":[0.9915305,0.005991881,0.0003317765,0.0007528932,0.001236104,0.000156754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001155154,0.0005348873,0.2064001,0.0002048376,0.0007787825,0.0001436637,0.0003315115,0.4220227,0.02074648,0.001500888,0.001823544,0.3443574],"study_design_scores_gemma":[0.00003311045,0.0001391465,0.04293996,0.00001672484,0.0002950942,0.00007018124,0.0001145868,0.9465867,0.007354005,0.001564824,0.0008483136,0.00003733523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794523,0.0002997661,0.2152983,0.00008623931,0.00004672988,0.000127559,0.001151373,0.001723113,0.001814578],"genre_scores_gemma":[0.9195631,0.0001141942,0.07751095,0.00002971417,0.00001768798,0.00007396545,0.001803274,0.0002893783,0.0005978787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009802575,"threshold_uncertainty_score":0.02732652,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Seyedmorteza Ghaffarishahri","is_ca":true},{"name":"Louis Rivest","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04176868117188623,"gpt":0.2537619408730779,"spread":0.2119932597011917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003788717,0.0002946109,0.0005629108,0.0005408883,0.0002469879,0.0004505388,0.0005074455,0.0005780796,0.002718712],"category_scores_gemma":[0.001174244,0.0002618558,0.0006437583,0.0003562076,0.0001891494,0.0004430704,0.0004328716,0.0004894485,0.0006558154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185718,"about_ca_system_score_gemma":0.0004293322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003625917,"about_ca_topic_score_gemma":0.003199215,"domain_scores_codex":[0.999843,0.00002363718,0.000009962767,0.00004398362,0.00005980928,0.00001947797],"domain_scores_gemma":[0.9997107,0.0001408021,0.00003106647,0.00003620228,0.00007263297,0.000008557695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003926529,0.0001400097,0.001916155,0.0001727806,0.00008547687,0.0001441858,0.0001352195,0.4544643,0.03886686,0.004466949,0.001997646,0.4972177],"study_design_scores_gemma":[0.000003897535,0.00003419297,0.0006060814,0.000002794457,0.000005788981,0.00002746327,0.000008158012,0.9964765,0.001944131,0.0004378961,0.0004488775,0.000004320869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03977901,0.0001745846,0.9578526,0.00007222303,0.00003873803,0.00003987903,0.00005687424,0.0007423232,0.001243722],"genre_scores_gemma":[0.8748598,0.000124568,0.1204804,0.00005508386,0.00001468653,0.00008079301,0.0002572464,0.0000780983,0.004049328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003625917,"threshold_uncertainty_score":0.009095013,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Han Liu","is_ca":true},{"name":"Ulysse Vimont","is_ca":false},{"name":"Michael Wand","is_ca":false},{"name":"Marie‐Paule Cani","is_ca":false},{"name":"Stéfanie Hahmann","is_ca":false},{"name":"Damien Rohmer","is_ca":false},{"name":"Niloy J. Mitra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03618451890025808,"gpt":0.2518000088789641,"spread":0.215615489978706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005409959,0.0008670246,0.001002916,0.001214813,0.0004580508,0.0009987683,0.001575661,0.001298247,0.003093125],"category_scores_gemma":[0.002081618,0.000743077,0.001383264,0.001117629,0.001181591,0.001079069,0.00134852,0.001188618,0.0007889794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007278961,"about_ca_system_score_gemma":0.0004892349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002189225,"about_ca_topic_score_gemma":0.00336103,"domain_scores_codex":[0.9994724,0.0001081478,0.00002565682,0.0001254724,0.0002371609,0.00003110877],"domain_scores_gemma":[0.9989832,0.0003782984,0.00008695354,0.000430847,0.00009081923,0.00002985148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001414378,0.000053049,0.0009773667,0.0001287885,0.0000508816,0.0003469746,0.0002102299,0.7802439,0.03513769,0.0388492,0.001501928,0.1423585],"study_design_scores_gemma":[0.000005652096,0.00002040858,0.00008333958,0.000005215627,0.000008090211,0.00007053673,0.00001378508,0.9809255,0.004278326,0.01251246,0.002070388,0.000006265573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0282582,0.0001253059,0.968695,0.00007054229,0.00001388496,0.0000462415,0.0001100058,0.001227338,0.001453403],"genre_scores_gemma":[0.3094732,0.0001100431,0.6875917,0.00003995655,0.00001140652,0.00007742109,0.0004844937,0.0003552691,0.001856514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003093125,"threshold_uncertainty_score":0.01034755,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Mainstream; Sensibility; Mindset; Archaeology; History; Computer science; Art; Political science; Literature; Law; Artificial intelligence","authors":[{"name":"John Aycock","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01207816835802395,"gpt":0.2441921846850109,"spread":0.232114016326987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003307794,0.0005511685,0.0003914032,0.001886406,0.003926761,0.01248371,0.0009584868,0.003247011,0.01487587],"category_scores_gemma":[0.007356526,0.0003525603,0.00053832,0.002049927,0.01636006,0.01606331,0.007486726,0.004464322,0.002637228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003259559,"about_ca_system_score_gemma":0.001588025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00388958,"about_ca_topic_score_gemma":0.004363297,"domain_scores_codex":[0.9982231,0.0006229708,0.00007859479,0.000213979,0.0006185055,0.0002428116],"domain_scores_gemma":[0.997014,0.001209461,0.0001233533,0.0007928752,0.0004577607,0.0004025618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001301857,0.00002703006,0.0009264737,0.0002989418,0.00001559116,0.0007738978,0.01007355,0.0003601714,0.001254463,0.8262519,0.05294035,0.1069475],"study_design_scores_gemma":[0.000006714077,0.00002779679,0.001141986,0.0003143524,0.000007974669,0.0008562983,0.006279895,0.0002080295,0.0003808954,0.1086421,0.882111,0.00002288568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1160987,0.139292,0.02705691,0.2546267,0.01408571,0.00008071074,0.0007467781,0.0006181011,0.4473944],"genre_scores_gemma":[0.7861038,0.07048614,0.0183238,0.01791165,0.005065162,0.0001141909,0.0004749167,0.0005463301,0.100974],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01487587,"threshold_uncertainty_score":0.04976469,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Kai Xu","is_ca":true},{"name":"Honghua Li","is_ca":true},{"name":"Hao Zhang","is_ca":true},{"name":"Daniel Cohen‐Or","is_ca":false},{"name":"Yueshan Xiong","is_ca":false},{"name":"Zhi‐Quan Cheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01558809281387164,"gpt":0.2454320232629521,"spread":0.2298439304490804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007702149,0.0008990428,0.0008819355,0.001675459,0.0006591938,0.00190086,0.0009983476,0.0007756663,0.002210773],"category_scores_gemma":[0.002452636,0.0005401449,0.001231298,0.001787444,0.001088427,0.001462084,0.001532434,0.001011583,0.001093469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005974703,"about_ca_system_score_gemma":0.0005310534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008831788,"about_ca_topic_score_gemma":0.001277577,"domain_scores_codex":[0.9990734,0.0001080184,0.00004291227,0.0002274916,0.0004625769,0.00008562346],"domain_scores_gemma":[0.9984956,0.0003121282,0.0001852748,0.0006071978,0.0003004133,0.00009930198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003770074,0.0001444127,0.003194722,0.0001723621,0.000169017,0.0002686291,0.0006200735,0.09138472,0.4209312,0.02624298,0.002558412,0.4539365],"study_design_scores_gemma":[0.00002871946,0.0001262272,0.005810011,0.00001152495,0.00008417315,0.0005781066,0.0001428597,0.7787968,0.1788026,0.02580115,0.009717942,0.00009989557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04713502,0.0001098007,0.9493111,0.00006043828,0.00003842761,0.00004901214,0.00004918914,0.0007428291,0.002504264],"genre_scores_gemma":[0.4319865,0.0001555701,0.563213,0.00008732934,0.00008493197,0.00009786683,0.0002050325,0.0006071479,0.003562717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002210773,"threshold_uncertainty_score":0.007395744,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Natasha Lyons","is_ca":true},{"name":"David M. Schaepe","is_ca":true},{"name":"Kate Hennessy","is_ca":true},{"name":"Michael Blake","is_ca":true},{"name":"Clarence Pennier","is_ca":true},{"name":"John R. Welch","is_ca":true},{"name":"Kyle McIntosh","is_ca":false},{"name":"Andy Phillips","is_ca":true},{"name":"Betty Charlie","is_ca":true},{"name":"Clifford Hall","is_ca":true},{"name":"Lucille Hall","is_ca":true},{"name":"Aynur Kadir","is_ca":true},{"name":"Alicia Point","is_ca":true},{"name":"Vi Pennier","is_ca":true},{"name":"Reginald Phillips","is_ca":true},{"name":"Reese Muntean","is_ca":true},{"name":"Johnny Williams","is_ca":true},{"name":"John Williams","is_ca":true},{"name":"Joseph Chapman","is_ca":true},{"name":"Colin Pennier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01837635139033018,"gpt":0.2694850430732087,"spread":0.2511086916828785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005766216,0.000356827,0.0003338789,0.003874476,0.01023847,0.0161388,0.001841757,0.003036049,0.003211787],"category_scores_gemma":[0.004657234,0.0005568258,0.0006228096,0.004396981,0.04773523,0.0182619,0.009076104,0.002857625,0.0004308135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0113677,"about_ca_system_score_gemma":0.01539889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07905655,"about_ca_topic_score_gemma":0.06188436,"domain_scores_codex":[0.99415,0.003365854,0.0002862582,0.0005155386,0.001115496,0.0005668451],"domain_scores_gemma":[0.9949682,0.00212638,0.0002707027,0.001062659,0.0006217702,0.0009503333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006562131,0.00002090327,0.0006625277,0.00003456156,0.000003861587,0.000193213,0.06093088,0.000216365,0.0001960392,0.9278945,0.001280904,0.008559633],"study_design_scores_gemma":[0.00001355774,0.00002082738,0.001610286,0.0002769294,0.00001637578,0.0007877411,0.0767365,0.001824206,0.0004424845,0.4427238,0.4754985,0.00004883685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1137778,0.003581219,0.1909196,0.01987689,0.0004705864,0.0003372035,0.000404198,0.0003233485,0.6703092],"genre_scores_gemma":[0.8901268,0.00260437,0.05922254,0.001277798,0.0001641904,0.0003500122,0.000371904,0.0003037468,0.04557868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07905655,"threshold_uncertainty_score":0.1571928,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Debajyoti Mondal","is_ca":true},{"name":"Yang Wang","is_ca":true},{"name":"Stéphane Durocher","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02505434363531446,"gpt":0.2142241166361954,"spread":0.189169773000881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00124261,0.001253046,0.001075131,0.0007971666,0.0005728539,0.001130088,0.001583172,0.001589061,0.004658616],"category_scores_gemma":[0.008642768,0.0007054806,0.0009261907,0.0007807543,0.001087843,0.001806757,0.002604477,0.001367337,0.0008714288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498919,"about_ca_system_score_gemma":0.0008151772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328943,"about_ca_topic_score_gemma":0.001638277,"domain_scores_codex":[0.9988613,0.0002244283,0.00009630922,0.0002443668,0.0005043717,0.00006914291],"domain_scores_gemma":[0.9974715,0.001498809,0.0002778978,0.0003518721,0.0003123503,0.00008767097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002298386,0.00008782372,0.00127078,0.0003415169,0.0001134431,0.0003254162,0.000312355,0.7009,0.0206996,0.0641926,0.004802282,0.2067244],"study_design_scores_gemma":[0.00003085536,0.00003070709,0.00009076614,0.000008387666,0.000007379358,0.00007700879,0.00003608238,0.979278,0.004462352,0.01402505,0.001943818,0.000009550628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01868754,0.0001212356,0.977461,0.000112215,0.00002603147,0.00005626483,0.00006200688,0.001122361,0.002351498],"genre_scores_gemma":[0.1473051,0.00008519755,0.8496365,0.00006705318,0.00002664834,0.0001101246,0.0002195654,0.0004917159,0.002058103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004658616,"threshold_uncertainty_score":0.01558459,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Michael Morin","is_ca":true},{"name":"Frédérik Paradis","is_ca":true},{"name":"Amélie Rolland","is_ca":true},{"name":"Jean Wery","is_ca":true},{"name":"François Laviolette","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09454771569774759,"gpt":0.334741822767288,"spread":0.2401941070695404,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001557282,0.0007090279,0.0008301222,0.0008302503,0.0004530138,0.0009085321,0.00159996,0.001397098,0.003224623],"category_scores_gemma":[0.006170252,0.0004409874,0.001195672,0.0005535682,0.0007304031,0.001149198,0.0009012136,0.001389261,0.0004922354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367588,"about_ca_system_score_gemma":0.001026201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003684055,"about_ca_topic_score_gemma":0.002988666,"domain_scores_codex":[0.999373,0.0002394793,0.00004636214,0.00009951957,0.0001900554,0.00005158922],"domain_scores_gemma":[0.9968003,0.001803787,0.0002888334,0.0005326755,0.0004425755,0.0001317129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001216729,0.00001729132,0.0002849503,0.00001034582,0.000005448524,0.000009871065,0.000007250133,0.9942442,0.0003833607,0.002483487,0.00008963249,0.002451987],"study_design_scores_gemma":[0.000001637637,0.000004944994,0.00002171801,0.000001318257,5.18069e-7,0.000002052981,0.000001008856,0.9982999,0.0002629655,0.001285453,0.0001169766,0.000001480856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04439144,0.00009788345,0.9504108,0.0002236727,0.00003779636,0.0001073903,0.0004858715,0.001951271,0.002293883],"genre_scores_gemma":[0.6893443,0.0001397124,0.3067095,0.0001393316,0.00002699645,0.0004339798,0.001310564,0.0004247279,0.001470782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003684055,"threshold_uncertainty_score":0.01078743,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sampling (signal processing); Field (mathematics); Computer science; Environmental science; Mathematics; Telecommunications","authors":[{"name":"W A Spirito","is_ca":true},{"name":"M B McClenaghan","is_ca":true},{"name":"A Plouffe","is_ca":true},{"name":"I McMartin","is_ca":true},{"name":"J E Campbell","is_ca":true},{"name":"R C Paulen","is_ca":true},{"name":"R G Garrett","is_ca":true},{"name":"G.E.M. Hall","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1638427827880168,"gpt":0.3820174082093964,"spread":0.2181746254213796,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01124993,0.0007753352,0.0006888591,0.004794569,0.003342079,0.002134587,0.002518049,0.001273137,0.01476191],"category_scores_gemma":[0.01669634,0.00098641,0.0006721042,0.00430327,0.001078016,0.001808604,0.003186594,0.002036249,0.01237513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565272,"about_ca_system_score_gemma":0.006039244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009454059,"about_ca_topic_score_gemma":0.0234955,"domain_scores_codex":[0.9941088,0.001045685,0.000685315,0.0009693623,0.002534533,0.0006563476],"domain_scores_gemma":[0.9868614,0.0009016363,0.0006321543,0.004953786,0.005782255,0.0008687655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002171142,0.0007327057,0.05887779,0.0007643737,0.0001612406,0.0005999345,0.005301288,0.01121275,0.2092526,0.01515495,0.2288171,0.4669541],"study_design_scores_gemma":[0.0002593174,0.0006780254,0.06048054,0.0002977663,0.0001972162,0.001028234,0.001749499,0.01665876,0.2483734,0.009395016,0.6606836,0.0001986419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.1205657,0.0005515,0.7127272,0.001195357,0.0006031975,0.008786857,0.06696808,0.03076026,0.0578418],"genre_scores_gemma":[0.04717376,0.0003064177,0.8663013,0.000335242,0.0001010333,0.008137455,0.05063625,0.004972375,0.02203618],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.01476191,"threshold_uncertainty_score":0.05949605,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Tibor Stanko","is_ca":false},{"name":"Mikhail Bessmeltsev","is_ca":true},{"name":"David Bommes","is_ca":false},{"name":"Adrien Bousseau","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0127332747351645,"gpt":0.2093883165841645,"spread":0.196655041849,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004547221,0.001091167,0.00106502,0.002055245,0.0003483546,0.002461767,0.001320696,0.0005593405,0.01207225],"category_scores_gemma":[0.002193868,0.0005504148,0.0007852415,0.002003807,0.0007081304,0.002075253,0.001354685,0.001327289,0.003749704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005739284,"about_ca_system_score_gemma":0.0005882347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002561675,"about_ca_topic_score_gemma":0.002984399,"domain_scores_codex":[0.9992668,0.00008410624,0.0000492882,0.0001973563,0.0003115669,0.00009084232],"domain_scores_gemma":[0.9990456,0.000205459,0.00007827303,0.0003935513,0.0002354936,0.00004178095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001359091,0.00005260122,0.0009164299,0.0002164855,0.00005287533,0.0001727493,0.0002498172,0.1347816,0.05579111,0.03517522,0.008150453,0.7643048],"study_design_scores_gemma":[0.00001832244,0.00005356827,0.0006101768,0.00002160178,0.00001713223,0.0002029794,0.000111576,0.9306895,0.03172452,0.01565431,0.02086692,0.00002937391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01228359,0.00008930926,0.981989,0.00007680071,0.00004101033,0.00006171276,0.000144624,0.002822036,0.002492018],"genre_scores_gemma":[0.2595085,0.0004415145,0.7289603,0.00008677006,0.00005534087,0.0001116392,0.001360171,0.001412963,0.00806283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01207225,"threshold_uncertainty_score":0.04038566,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Xinya Zhang","is_ca":false},{"name":"Robert Belfer","is_ca":true},{"name":"Paul G. Kry","is_ca":true},{"name":"Etienne Vouga","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03530218092673359,"gpt":0.2600196710956866,"spread":0.224717490168953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006979666,0.001221373,0.0009819214,0.001424787,0.001040723,0.001012069,0.001837986,0.001677769,0.004944482],"category_scores_gemma":[0.004625909,0.0006968845,0.001045155,0.001276667,0.001410596,0.002376751,0.003018816,0.002081347,0.001067814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009459642,"about_ca_system_score_gemma":0.002179975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008190222,"about_ca_topic_score_gemma":0.01165739,"domain_scores_codex":[0.9993684,0.0001427594,0.0000344787,0.0001803014,0.0001964873,0.00007768997],"domain_scores_gemma":[0.9986552,0.0005557202,0.000138736,0.0003664198,0.0001746644,0.0001093113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002716403,0.0001927063,0.002029361,0.0003176261,0.00006307162,0.0003020751,0.0005467691,0.6256296,0.008343596,0.05459495,0.008423568,0.2992851],"study_design_scores_gemma":[0.00002479067,0.00007629876,0.0002212288,0.00002693703,0.000009649652,0.0001023983,0.00009463631,0.9681572,0.001962447,0.02521013,0.004095305,0.00001888415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02291045,0.0003709059,0.9688374,0.000228554,0.00004107467,0.0001580571,0.000187775,0.002709637,0.004556176],"genre_scores_gemma":[0.2965255,0.0003327097,0.699167,0.0001138548,0.0000198726,0.0002391115,0.0007242328,0.0004207925,0.002457051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008190222,"threshold_uncertainty_score":0.01654088,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Svetlana Yanushkevich","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05011017871884717,"gpt":0.2626810110835333,"spread":0.2125708323646861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002093459,0.001143798,0.001479766,0.004656438,0.0006412196,0.002679804,0.001686215,0.001916157,0.007546109],"category_scores_gemma":[0.005256397,0.0006884614,0.0009752036,0.004409703,0.001195805,0.004010267,0.001592351,0.0012793,0.004298818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008226011,"about_ca_system_score_gemma":0.0007913547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008589743,"about_ca_topic_score_gemma":0.0004845898,"domain_scores_codex":[0.997592,0.0005263941,0.0002097162,0.0003856604,0.001195637,0.00009067242],"domain_scores_gemma":[0.9969953,0.001640113,0.0002060321,0.0004452126,0.0006110173,0.000102246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001158741,0.00009741198,0.001705108,0.002861846,0.00007918314,0.0002049792,0.0001600267,0.007395181,0.003939375,0.04062872,0.01407851,0.9287338],"study_design_scores_gemma":[0.0000249632,0.0004596428,0.00331797,0.001974378,0.0000861829,0.007596663,0.0004375074,0.04613805,0.009343516,0.06224037,0.8681878,0.0001929313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008954776,0.7256154,0.2096222,0.002157263,0.001524526,0.0001764513,0.000536286,0.0007127539,0.05070034],"genre_scores_gemma":[0.1211803,0.7093244,0.1406256,0.00145499,0.002791621,0.0003705498,0.00181603,0.0003828144,0.02205375],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007546109,"threshold_uncertainty_score":0.02524424,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Hongwei Zhu","is_ca":true},{"name":"Otman Basir","is_ca":true},{"name":"Fakhri Karray","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1127873434258027,"gpt":0.3186359569518242,"spread":0.2058486135260215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004775161,0.001158227,0.002081371,0.005225522,0.0009337331,0.002651166,0.001551827,0.002138577,0.001604709],"category_scores_gemma":[0.01462184,0.0005934273,0.001585117,0.003783863,0.001432757,0.004335316,0.002527532,0.001948963,0.0005823547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121872,"about_ca_system_score_gemma":0.0009685026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064604,"about_ca_topic_score_gemma":0.001053547,"domain_scores_codex":[0.9968109,0.0008151797,0.0002903947,0.000292751,0.001703137,0.00008764868],"domain_scores_gemma":[0.9959401,0.002654641,0.0003811948,0.0003565521,0.000591354,0.00007615177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002401101,0.00009869861,0.001359458,0.0009455825,0.0004048523,0.0004560099,0.0003341253,0.153636,0.006977147,0.1649314,0.002326322,0.6682903],"study_design_scores_gemma":[0.00004779075,0.0001495532,0.0008997665,0.0001572407,0.0001220658,0.0005617216,0.0001009068,0.7993469,0.006011197,0.1865183,0.005983816,0.0001006641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002830609,0.001155803,0.99496,0.0001946514,0.00004108814,0.00003750442,0.00003444157,0.00007153125,0.0006744871],"genre_scores_gemma":[0.2256704,0.003437609,0.7692221,0.0001669474,0.0002351524,0.0002434518,0.0001739521,0.00002857888,0.0008218288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005225522,"threshold_uncertainty_score":0.02525377,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Boyan Brodaric","is_ca":true},{"name":"Torsten Hahmann","is_ca":false},{"name":"Michael Grüninger","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00504949012061233,"gpt":0.1943227760437381,"spread":0.1892732859231258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131131,0.000384274,0.0003766289,0.002324881,0.001402366,0.003730962,0.0008217882,0.001064258,0.004649234],"category_scores_gemma":[0.003313415,0.000364715,0.0006450705,0.002197677,0.004999375,0.009809067,0.00247047,0.00107834,0.0006825354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300086,"about_ca_system_score_gemma":0.001213222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006608371,"about_ca_topic_score_gemma":0.003561326,"domain_scores_codex":[0.9987041,0.0002567765,0.0001445017,0.0003208287,0.0004291685,0.0001445741],"domain_scores_gemma":[0.9987916,0.0003902264,0.0001260906,0.0002930976,0.0003204657,0.00007843364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001751949,0.00001021131,0.0007833373,0.00008146228,0.00001168941,0.0001197464,0.001411973,0.0007648944,0.0008629754,0.959843,0.00216625,0.03392698],"study_design_scores_gemma":[0.000008680391,0.00002078064,0.002133059,0.0001488416,0.00002841927,0.0003863685,0.001714825,0.003792166,0.001064008,0.7181754,0.2724996,0.00002775141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1002576,0.00805363,0.6445409,0.00652269,0.0008204175,0.0002784792,0.002540855,0.0007286673,0.2362567],"genre_scores_gemma":[0.7481621,0.004991253,0.2091914,0.001276304,0.00036202,0.000352074,0.002721571,0.0003453239,0.032598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006608371,"threshold_uncertainty_score":0.01555318,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Gelila Tilahun","is_ca":true},{"name":"Andrey Feuerverger","is_ca":true},{"name":"Michael Gervers","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05168577421080451,"gpt":0.3030270209621101,"spread":0.2513412467513056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001679475,0.0002402172,0.0002739971,0.006045381,0.0008487469,0.00138417,0.0004520846,0.0002180657,0.00286223],"category_scores_gemma":[0.01104202,0.0001843891,0.0001302906,0.006311666,0.0007287977,0.0009616214,0.001011209,0.0003686116,0.0008766071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471604,"about_ca_system_score_gemma":0.001072705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06280338,"about_ca_topic_score_gemma":0.1372446,"domain_scores_codex":[0.9987808,0.0003006943,0.0001763293,0.0002661094,0.0003527028,0.0001233796],"domain_scores_gemma":[0.9906139,0.002307265,0.001821515,0.001113199,0.00388557,0.0002585784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005005631,0.00007865059,0.4945468,0.0008124716,0.00008531215,0.0009023602,0.04182563,0.004229955,0.005337087,0.01885187,0.02940914,0.4034202],"study_design_scores_gemma":[0.00001385465,0.00004998825,0.7807599,0.0002462522,0.00004148134,0.0003278762,0.009463099,0.002722879,0.006851298,0.001374319,0.1980967,0.00005240239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443814,0.002703474,0.01302501,0.0002508287,0.0001512017,0.0001343058,0.01896066,0.0001751411,0.02021808],"genre_scores_gemma":[0.9550959,0.001900236,0.01729179,0.00002968955,0.00007868993,0.0001183056,0.01444343,0.00009410956,0.01094791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06280338,"threshold_uncertainty_score":0.1248757,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Laura Connolly","is_ca":true},{"name":"Amoon Jamzad","is_ca":true},{"name":"Martin Kaufmann","is_ca":true},{"name":"Catriona E. Farquharson","is_ca":true},{"name":"Kevin Ren","is_ca":true},{"name":"John F. Rudan","is_ca":true},{"name":"Gábor Fichtinger","is_ca":true},{"name":"Parvin Mousavi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01163201917217673,"gpt":0.3010597123224918,"spread":0.2894276931503151,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649402,0.0006909677,0.0005450906,0.001700875,0.0003260069,0.0013997,0.000849278,0.001082611,0.001505295],"category_scores_gemma":[0.003603427,0.0006645667,0.0005593302,0.0007975686,0.0005124313,0.001358955,0.001630428,0.0008396143,0.0009348571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004944555,"about_ca_system_score_gemma":0.000889581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000960944,"about_ca_topic_score_gemma":0.002689076,"domain_scores_codex":[0.9991265,0.000267062,0.00006565365,0.0001401339,0.0003408047,0.00005988863],"domain_scores_gemma":[0.9990144,0.0003118202,0.0001849576,0.0001515101,0.0002411403,0.00009618215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001270603,0.0004198677,0.03361701,0.000650578,0.0002634588,0.001418887,0.0003825361,0.02788858,0.3776996,0.002719183,0.004588057,0.5490816],"study_design_scores_gemma":[0.00008860541,0.001302154,0.03737264,0.0002864053,0.0004186527,0.006894986,0.0006025007,0.5275037,0.397128,0.01064284,0.01753893,0.0002204929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1950697,0.005897976,0.7873977,0.002218873,0.000211837,0.0002130912,0.0004055215,0.004371366,0.004214067],"genre_scores_gemma":[0.5813738,0.002689052,0.4124686,0.0005695759,0.0001325721,0.0001116586,0.0004152771,0.0003679433,0.00187159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001700875,"threshold_uncertainty_score":0.008723021,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Cultural heritage; Replica; Archaeology; Digitization; History; Painting; Computer science; Art history; Telecommunications","authors":[{"name":"Lori Wong","is_ca":false},{"name":"Mario Santana Quintero","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0142195643218051,"gpt":0.2607929841172657,"spread":0.2465734197954606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062329,0.0002860059,0.0001930204,0.001024904,0.007115255,0.007620013,0.0007686331,0.0009264607,0.0120571],"category_scores_gemma":[0.0022638,0.0002143669,0.0001739411,0.001645877,0.00868785,0.003943011,0.004032101,0.001082857,0.0008047018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004687554,"about_ca_system_score_gemma":0.002849412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354653,"about_ca_topic_score_gemma":0.09220831,"domain_scores_codex":[0.9991668,0.0003173105,0.00002318156,0.0001095476,0.0002508843,0.0001322095],"domain_scores_gemma":[0.9992718,0.0002297763,0.00006296296,0.0001855529,0.0001044276,0.0001454196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003267954,0.00005709785,0.006542419,0.0004840005,0.00002095307,0.005248143,0.4336181,0.0005916005,0.003439094,0.3876066,0.02018107,0.1418841],"study_design_scores_gemma":[0.00001277619,0.0001093668,0.00678177,0.0003891162,0.0000183311,0.00332644,0.2160373,0.0003160958,0.001997298,0.01246336,0.7585056,0.00004262981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4957654,0.01301585,0.005934978,0.007982777,0.001198144,0.0001270699,0.0001753647,0.0001346448,0.4756658],"genre_scores_gemma":[0.9426335,0.002342138,0.003172454,0.0003168528,0.00005591926,0.00002860053,0.00006438999,0.00007747681,0.05130867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02354653,"threshold_uncertainty_score":0.04681891,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"James H. Elder","is_ca":true},{"name":"Timothy D. Oleskiw","is_ca":false},{"name":"Alex Yakubovich","is_ca":true},{"name":"Gabriel Peyré","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01802358497467986,"gpt":0.2894189740441668,"spread":0.2713953890694869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008322428,0.001397847,0.0010001,0.001263733,0.0003872501,0.00114728,0.00129265,0.001420914,0.002531575],"category_scores_gemma":[0.004458934,0.0005652444,0.0006945136,0.002447222,0.0017979,0.002921255,0.002066338,0.002626213,0.001398823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005434318,"about_ca_system_score_gemma":0.000531326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002996995,"about_ca_topic_score_gemma":0.002670407,"domain_scores_codex":[0.9994253,0.0001901761,0.00002820621,0.00007722001,0.0002272405,0.00005185899],"domain_scores_gemma":[0.9984581,0.0008450121,0.00009809536,0.0002982673,0.0002165203,0.0000840361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003089266,0.00009664025,0.0004631182,0.0002394333,0.00004752245,0.0001644106,0.0002517685,0.2230272,0.02780905,0.2791664,0.01750906,0.4509164],"study_design_scores_gemma":[0.00001513517,0.00003537336,0.0001259763,0.00001529084,0.00000726785,0.00006891383,0.00002886314,0.9202021,0.00406854,0.07145737,0.003954221,0.00002079049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00717506,0.0005572154,0.9892915,0.0003896588,0.0001195351,0.00002972102,0.000138727,0.0002999711,0.001998629],"genre_scores_gemma":[0.2030909,0.005343839,0.7755697,0.0006637655,0.000557152,0.0002233594,0.001523058,0.0004710981,0.01255726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002996995,"threshold_uncertainty_score":0.008468986,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Thiago M. Paixão","is_ca":false},{"name":"Rodrigo F. Berriel","is_ca":false},{"name":"Maria Claudia Silva Bóeres","is_ca":false},{"name":"Alessandro L. Koerich","is_ca":true},{"name":"Claudine Badué","is_ca":false},{"name":"Alberto F. De Souza","is_ca":false},{"name":"Thiago Oliveira-Santos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02080634921244846,"gpt":0.2228958102480961,"spread":0.2020894610356476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003585881,0.0008359418,0.000588712,0.001144625,0.0002156706,0.0008987517,0.000800413,0.0009169407,0.00277063],"category_scores_gemma":[0.001114338,0.0003910129,0.0007645098,0.0009432134,0.0004256849,0.0008542035,0.0007005779,0.0009328866,0.002572792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432843,"about_ca_system_score_gemma":0.0005079933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002810629,"about_ca_topic_score_gemma":0.005391109,"domain_scores_codex":[0.9997432,0.00003501792,0.00001424278,0.000077296,0.00007902601,0.00005122854],"domain_scores_gemma":[0.9993808,0.0001549051,0.00006899373,0.0001424897,0.0002106924,0.00004206336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001732769,0.0003510083,0.003812985,0.0004607796,0.0002184079,0.0007488568,0.0002153575,0.2021856,0.1617145,0.003267368,0.02107121,0.6042212],"study_design_scores_gemma":[0.00001168945,0.0000631131,0.001191281,0.00001676865,0.00002351853,0.0001743703,0.00005012126,0.9718904,0.02367494,0.001062206,0.001829421,0.00001205861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3629285,0.001862428,0.6170352,0.0007077894,0.0003718288,0.000111114,0.003846446,0.008479739,0.004656925],"genre_scores_gemma":[0.7947428,0.0007319464,0.181252,0.0002092074,0.0001606395,0.00007176513,0.00697159,0.0005558396,0.01530423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002810629,"threshold_uncertainty_score":0.009268701,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"R. Legault","is_ca":true},{"name":"Ching Y. Suen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04628116360155253,"gpt":0.4170470770602097,"spread":0.3707659134586571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004731366,0.001917241,0.001936431,0.007840239,0.0008591331,0.002112892,0.002611131,0.002490913,0.006274923],"category_scores_gemma":[0.0156278,0.001187863,0.002103941,0.005171812,0.000594018,0.002885263,0.001572481,0.001110275,0.004346543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005463098,"about_ca_system_score_gemma":0.0009736369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078412,"about_ca_topic_score_gemma":0.003856307,"domain_scores_codex":[0.9937258,0.0007108155,0.000523249,0.0007835621,0.003991862,0.0002646899],"domain_scores_gemma":[0.9899986,0.004146881,0.0005017418,0.001320655,0.00381022,0.0002219811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006928953,0.0001129764,0.002318487,0.002162893,0.0004840243,0.0000995876,0.0002592439,0.003288877,0.01715023,0.001979417,0.00549853,0.9659528],"study_design_scores_gemma":[0.0008562834,0.004749788,0.1105656,0.003738205,0.002424288,0.01486846,0.002520037,0.2603246,0.2760028,0.01765989,0.3046717,0.001618229],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03495323,0.04354886,0.8869392,0.0005689398,0.001365497,0.0008526596,0.001507114,0.01027586,0.01998867],"genre_scores_gemma":[0.1159083,0.02917622,0.8350171,0.0003560998,0.0003597981,0.0005614383,0.003143216,0.001813043,0.01366472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007840239,"threshold_uncertainty_score":0.02502221,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"","keywords":"Medicine; Computed tomography; Multislice computed tomography; Tomography; Nuclear medicine; Radiology","authors":[{"name":"Rethy K. Chhem","is_ca":true},{"name":"Sudhakar K. Venkatesh","is_ca":false},{"name":"Shih Chang Wang","is_ca":false},{"name":"Kit Mui Wong","is_ca":false},{"name":"Frank Rühli","is_ca":false},{"name":"Edwin Poh Yiew Siew","is_ca":false},{"name":"Kyle Latinis","is_ca":false},{"name":"Christophe Pottier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009421930964384172,"gpt":0.2203617222953151,"spread":0.2109397913309309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003110423,0.0009129268,0.0005205319,0.004176755,0.001348615,0.0006698859,0.001046595,0.002931247,0.00383693],"category_scores_gemma":[0.000853403,0.001070015,0.0005214382,0.001254247,0.001091042,0.0005681176,0.001084662,0.00111318,0.001047365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492776,"about_ca_system_score_gemma":0.001028241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06613465,"about_ca_topic_score_gemma":0.1091568,"domain_scores_codex":[0.9997794,0.00001453925,0.00002825822,0.00004950437,0.00004708937,0.00008124156],"domain_scores_gemma":[0.9996505,0.00006097205,0.00005287305,0.00003098302,0.00009062838,0.000113991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.001237745,0.0006536508,0.3662916,0.0003865724,0.0002295578,0.5410014,0.005665678,0.001467052,0.06472345,0.0004307378,0.001724922,0.01618765],"study_design_scores_gemma":[0.00002932804,0.000293398,0.8023307,0.0001217474,0.0001058432,0.1877209,0.004022437,0.0008645632,0.001934139,0.0001283393,0.002413566,0.00003494535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911049,0.0005578482,0.0009285371,0.0007954235,0.00004211287,0.0001427901,0.001718148,0.00002580857,0.004684517],"genre_scores_gemma":[0.9955071,0.0006413445,0.001183549,0.0002329962,0.00004536471,0.00001841295,0.0006633039,0.00001651109,0.001691411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06613465,"threshold_uncertainty_score":0.1314994,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Construct (python library); Process (computing); Computer science; Management science; Engineering; Programming language","authors":[{"name":"Louis G. Birta","is_ca":true},{"name":"Gilbert Arbez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03804348263242918,"gpt":0.2732567375751307,"spread":0.2352132549427015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009189292,0.0008505702,0.0009365214,0.0006678066,0.0006362409,0.003366856,0.001684823,0.001609543,0.01432963],"category_scores_gemma":[0.002382515,0.0006468382,0.001141355,0.0006027943,0.001596991,0.002471981,0.001793369,0.00165373,0.007237096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479773,"about_ca_system_score_gemma":0.001494642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070141,"about_ca_topic_score_gemma":0.0009852453,"domain_scores_codex":[0.9993893,0.0001433912,0.00002592236,0.0001046175,0.0003059423,0.00003082525],"domain_scores_gemma":[0.9993935,0.000266199,0.00002176771,0.0001964079,0.0001012872,0.00002083048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003160485,0.00003690424,0.0002184469,0.0002634825,0.00004171049,0.000147814,0.0003237035,0.1402974,0.004645995,0.7403088,0.01176205,0.1019222],"study_design_scores_gemma":[0.00001642219,0.00003983005,0.0001931255,0.0001535735,0.00003692806,0.0003172656,0.00009503715,0.3329563,0.005833269,0.3945386,0.2657747,0.00004492329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002064794,0.0006960822,0.9174798,0.0009116146,0.0003131014,0.0001457468,0.0001896443,0.0008184849,0.07738083],"genre_scores_gemma":[0.1465348,0.005440585,0.6551575,0.0009468048,0.0004299244,0.0007858841,0.001226147,0.001274572,0.1882038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01432963,"threshold_uncertainty_score":0.04793745,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Whale; Arctic; Archaeology; Baleen; Prehistory; The arctic; Geology; Geography; Computer science; Oceanography; Ecology; Biology","authors":[{"name":"Peter Dawson","is_ca":false},{"name":"Richard Levy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01421723880998268,"gpt":0.235044894868363,"spread":0.2208276560583803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008981918,0.0004047785,0.0002907601,0.0003973017,0.0008197423,0.00132311,0.0008768075,0.0009618862,0.008457019],"category_scores_gemma":[0.000247598,0.0002917234,0.0005346824,0.0004750213,0.0008232042,0.0004511676,0.0009910945,0.0003027756,0.0009460137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573448,"about_ca_system_score_gemma":0.00149832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08270828,"about_ca_topic_score_gemma":0.1025727,"domain_scores_codex":[0.9999081,0.00001210585,0.000005669906,0.0000211473,0.00003821378,0.00001468089],"domain_scores_gemma":[0.9999313,0.00002138094,0.000006304018,0.00001236354,0.00001541972,0.00001327495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003027648,0.0001419774,0.006417777,0.0003040813,0.00006809215,0.004191655,0.002956456,0.8411853,0.04680366,0.0393685,0.006068221,0.05219152],"study_design_scores_gemma":[0.0000627883,0.0001985836,0.007820568,0.00008136165,0.00008013685,0.001611748,0.00142314,0.930285,0.006068201,0.003997349,0.04825242,0.0001186786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4872108,0.0006553162,0.395573,0.00140865,0.0003071284,0.0004782422,0.00476233,0.00220997,0.1073946],"genre_scores_gemma":[0.8898943,0.0005168229,0.09092903,0.00008890221,0.0000154886,0.0001883169,0.001385651,0.0001338529,0.01684766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08270828,"threshold_uncertainty_score":0.1644537,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; University of Windsor","funders":"","keywords":"Computer science; Identification (biology); Computer vision; Artificial intelligence; Computer graphics (images)","authors":[{"name":"Abdul Muntakim Rafi","is_ca":true},{"name":"Uday Kamal","is_ca":false},{"name":"Md. Rakibul Hoque","is_ca":false},{"name":"Abid Abrar","is_ca":false},{"name":"Sowmitra Das","is_ca":false},{"name":"Robert Laganière","is_ca":true},{"name":"K. M. Azharul Hasan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01042703376764862,"gpt":0.2380472585473151,"spread":0.2276202247796665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006233363,0.0009247568,0.000732643,0.00170108,0.0005536241,0.0008980779,0.0008735445,0.00075414,0.002565894],"category_scores_gemma":[0.001405787,0.0005364415,0.0004764766,0.001356216,0.000458148,0.00126667,0.001119946,0.0004152523,0.001077314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005267353,"about_ca_system_score_gemma":0.001024515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008523556,"about_ca_topic_score_gemma":0.01032004,"domain_scores_codex":[0.9995263,0.00008092247,0.00002244955,0.0001307426,0.0001778497,0.00006177642],"domain_scores_gemma":[0.9994314,0.0001513746,0.00004899818,0.0001469827,0.0001989696,0.00002227448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002095217,0.0001782826,0.004112333,0.0001941203,0.0001169456,0.0002652121,0.0001220256,0.1381629,0.04275294,0.0107751,0.004050138,0.7990605],"study_design_scores_gemma":[0.000007056922,0.00005569502,0.001537934,0.00001206772,0.00002508237,0.0002466687,0.00004055448,0.9685618,0.01946705,0.006306636,0.003727063,0.00001243294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02068156,0.0003311884,0.975316,0.00009243347,0.00005842156,0.00004179702,0.0001799772,0.001537569,0.001760997],"genre_scores_gemma":[0.4190116,0.0005765984,0.5735148,0.0001579941,0.00007845298,0.0000835271,0.0011835,0.000213056,0.005180438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008523556,"threshold_uncertainty_score":0.01694787,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Terry Caelli","is_ca":true},{"name":"Andrew McCabe","is_ca":true},{"name":"Gordon Binsted","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03088226456530336,"gpt":0.2646452744809921,"spread":0.2337630099156888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014312,0.00117591,0.001650923,0.0007305315,0.0004238791,0.001343649,0.001970771,0.001697484,0.00478291],"category_scores_gemma":[0.006501093,0.0008864466,0.0008617407,0.001328549,0.001875437,0.003363576,0.002099835,0.001956555,0.0007838286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008055028,"about_ca_system_score_gemma":0.0006031564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007941942,"about_ca_topic_score_gemma":0.008759525,"domain_scores_codex":[0.9995976,0.00009603478,0.00002454441,0.0001355734,0.0001076126,0.00003867108],"domain_scores_gemma":[0.9970053,0.002025889,0.0001646375,0.0004330689,0.0002423777,0.0001288486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002495917,0.00007066161,0.002333259,0.0001525582,0.00005711611,0.00006427202,0.0002425932,0.3458668,0.004784817,0.04957008,0.005009954,0.5915983],"study_design_scores_gemma":[0.00001710498,0.00005519413,0.0005133213,0.00002430612,0.000009056404,0.00004498794,0.00004412159,0.9189155,0.001303642,0.07775782,0.001303568,0.00001139058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03240035,0.0007942994,0.9620099,0.000378273,0.00005891964,0.00003738502,0.0001428806,0.0007625456,0.003415414],"genre_scores_gemma":[0.5009093,0.002213738,0.4806755,0.0004845845,0.000161082,0.0001475738,0.001202867,0.0005302094,0.01367511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007941942,"threshold_uncertainty_score":0.01600045,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Dynamic programming; Computer science; Algorithm; Data mining; Artificial intelligence","authors":[{"name":"André Pimenta","is_ca":true},{"name":"Edson Justino","is_ca":true},{"name":"Luiz S. Oliveira","is_ca":true},{"name":"Robert Sabourin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009125124816395484,"gpt":0.2602486695649278,"spread":0.2511235447485323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008690796,0.0006412599,0.001162526,0.001438989,0.0004461629,0.00160033,0.001475104,0.0006913346,0.003423107],"category_scores_gemma":[0.002558606,0.0005414299,0.001152011,0.001463228,0.0006575133,0.001571575,0.001299733,0.001041167,0.0009787146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511313,"about_ca_system_score_gemma":0.0006862852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915041,"about_ca_topic_score_gemma":0.001835581,"domain_scores_codex":[0.9989991,0.0001799435,0.00006018919,0.0002525216,0.0004411474,0.00006721073],"domain_scores_gemma":[0.999072,0.0004168874,0.00008738867,0.0002032762,0.0001900268,0.00003038094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000141326,0.00008799983,0.0008248418,0.0002081614,0.00008500521,0.0001420727,0.0001470314,0.2006659,0.01583307,0.01924813,0.001939923,0.7606765],"study_design_scores_gemma":[0.00001750755,0.00008305745,0.0002667457,0.00002081827,0.0000237466,0.0003047776,0.00005944181,0.9671612,0.01468837,0.01133882,0.006014903,0.00002068333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003338341,0.00008039323,0.9953406,0.00002892134,0.000007733668,0.00002294266,0.00001702731,0.0003961457,0.000767843],"genre_scores_gemma":[0.06936684,0.000211589,0.9275874,0.00003853458,0.0000212366,0.00009767448,0.0001811243,0.000247675,0.002247937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003423107,"threshold_uncertainty_score":0.01145136,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Fabrication; Computer science; History; Medicine","authors":[{"name":"Devon Elliott","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01494557169308726,"gpt":0.2695619559263999,"spread":0.2546163842333127,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01018663,0.0004865582,0.0005263205,0.00252144,0.01055919,0.01144514,0.001253817,0.003451251,0.006248828],"category_scores_gemma":[0.01155343,0.0004508712,0.0002742606,0.002696715,0.1392564,0.01905754,0.00681235,0.003991948,0.0004291841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00634415,"about_ca_system_score_gemma":0.003788276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003757266,"about_ca_topic_score_gemma":0.006452788,"domain_scores_codex":[0.9935881,0.004884703,0.0001699933,0.0004856698,0.0005803664,0.0002911869],"domain_scores_gemma":[0.9896913,0.007803705,0.0003741985,0.001406478,0.0002994537,0.0004247649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002999419,0.00002269177,0.000421483,0.0001001382,0.000002633114,0.0001296831,0.05670333,0.0001201693,0.0001690629,0.9299883,0.001129448,0.01118293],"study_design_scores_gemma":[0.00002514313,0.00009788427,0.001223841,0.0007166641,0.000008728499,0.0005373841,0.07906318,0.0004185285,0.0005767778,0.7171784,0.2001143,0.00003914533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1758121,0.07429586,0.05113562,0.08704295,0.001921529,0.0001601316,0.00009721867,0.0001661758,0.6093684],"genre_scores_gemma":[0.9716085,0.007931708,0.007355413,0.001569072,0.0003377477,0.0001110916,0.00001579834,0.0000652241,0.01100553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01144514,"threshold_uncertainty_score":0.0538727,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Norges Geologiske Undersøkelse; Statens vegvesen; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Geology; Geomorphology; Geophysics; Geochemistry","authors":[{"name":"Inger‐Lise Solberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02479256792163679,"gpt":0.2697079273549459,"spread":0.2449153594333091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001754676,0.0002834398,0.0002003288,0.001977703,0.0009578888,0.0007828246,0.0003711821,0.0002798727,0.001828289],"category_scores_gemma":[0.000276748,0.0001920406,0.0002382196,0.001821292,0.0007435913,0.0002882619,0.0009033969,0.000267262,0.0005322967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009886398,"about_ca_system_score_gemma":0.001457969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1082739,"about_ca_topic_score_gemma":0.3438022,"domain_scores_codex":[0.9998243,0.00001666844,0.00001259841,0.00004401444,0.00004450351,0.00005788911],"domain_scores_gemma":[0.9998455,0.00001995918,0.00004225342,0.0000146731,0.00003390699,0.00004373152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004948666,0.0002570083,0.7608027,0.001048696,0.0001000814,0.01656045,0.03512983,0.00144358,0.03727164,0.001391802,0.004336734,0.1411626],"study_design_scores_gemma":[0.000004303992,0.00007550512,0.972984,0.00009693855,0.00001008425,0.001611263,0.01015,0.000106024,0.0003587959,0.00004794232,0.01454331,0.00001188261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9818425,0.001321713,0.0003536691,0.00008680459,0.00002466418,0.00007006786,0.001504735,0.00002388424,0.01477192],"genre_scores_gemma":[0.9887773,0.001162408,0.001456855,0.00002731444,0.000008756793,0.00004673156,0.001313441,0.0000144209,0.007192766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1082739,"threshold_uncertainty_score":0.2152874,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Sylvain Chabanet","is_ca":false},{"name":"Philippe Thomas","is_ca":false},{"name":"Hind Bril El-Haouzi","is_ca":false},{"name":"Michael Morin","is_ca":true},{"name":"Jonathan Gaudreault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.019712614908221,"gpt":0.2844471348803166,"spread":0.2647345199720956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002561736,0.00140244,0.001836053,0.004255144,0.001373092,0.00207889,0.002444221,0.002864669,0.004916992],"category_scores_gemma":[0.00532555,0.0007594107,0.001300185,0.004728667,0.0009253324,0.002159826,0.002369443,0.001838433,0.002022933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455136,"about_ca_system_score_gemma":0.0023739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680758,"about_ca_topic_score_gemma":0.02488502,"domain_scores_codex":[0.9980251,0.000305647,0.0001474333,0.0005560747,0.0007962976,0.0001695086],"domain_scores_gemma":[0.9981299,0.0005804545,0.0001241821,0.0002535808,0.0008172881,0.00009454374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001709591,0.0001769552,0.001958348,0.0001307246,0.00008615413,0.0001284572,0.0001672124,0.2527251,0.00712737,0.004770964,0.004134678,0.7284232],"study_design_scores_gemma":[0.000007082991,0.00002453751,0.0003953194,0.000007317145,0.0000080265,0.00005614578,0.00004070774,0.993637,0.001718489,0.002828472,0.001261456,0.00001553878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0121122,0.0003352336,0.983498,0.0001791036,0.00007138216,0.0001122699,0.0001213916,0.002280086,0.001290311],"genre_scores_gemma":[0.1603142,0.0003343995,0.8352744,0.0001675817,0.00007252394,0.0001187139,0.0004914393,0.0004672427,0.002759543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02680758,"threshold_uncertainty_score":0.05330306,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Mojgan Faramarzi Hafshejani","is_ca":true},{"name":"Kamran Esmaeili","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01237167460249694,"gpt":0.2738007351921749,"spread":0.261429060589678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000276484,0.0006631482,0.0003663735,0.001212212,0.0002423606,0.0007412371,0.0008429643,0.0007081844,0.0006104105],"category_scores_gemma":[0.000895375,0.0003836111,0.0008098635,0.0009125642,0.0005329601,0.0006925301,0.0006874697,0.0006846158,0.0002550432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005782571,"about_ca_system_score_gemma":0.0008455809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153579,"about_ca_topic_score_gemma":0.01590379,"domain_scores_codex":[0.999786,0.00001920619,0.00001026472,0.00006541777,0.00008585852,0.00003335444],"domain_scores_gemma":[0.9997467,0.00007609363,0.00004517079,0.00004399881,0.00006528937,0.00002264398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001317488,0.0001252666,0.005640181,0.00009868323,0.00004917652,0.0002034527,0.00008600141,0.8903139,0.01284983,0.0007844619,0.001031543,0.08868578],"study_design_scores_gemma":[0.000003561812,0.00001326695,0.001115417,0.000004311955,0.000002964434,0.0000240777,0.00001519771,0.9964114,0.001898589,0.0003346638,0.0001708308,0.000005787896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5604658,0.0004261662,0.4309802,0.0003146618,0.00005696898,0.0001575889,0.00141937,0.003768226,0.002410848],"genre_scores_gemma":[0.8852423,0.0001889168,0.1111868,0.00006437197,0.00001424688,0.00009775496,0.002313787,0.0001104483,0.00078147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01153579,"threshold_uncertainty_score":0.0229373,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Rena T. Gasimova","is_ca":false},{"name":"Rahim N. Abbaslı","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04532716793122469,"gpt":0.3037497666552349,"spread":0.2584225987240102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000728654,0.0005953739,0.0007116436,0.003155603,0.0007202781,0.002420577,0.000930118,0.0009371691,0.004507896],"category_scores_gemma":[0.001941257,0.000246916,0.0008119355,0.002057495,0.0006893661,0.002266344,0.00117326,0.0007774049,0.001359675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005258872,"about_ca_system_score_gemma":0.001646629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375611,"about_ca_topic_score_gemma":0.003343906,"domain_scores_codex":[0.9995894,0.00008604236,0.00003074889,0.00008032384,0.0001788014,0.00003463863],"domain_scores_gemma":[0.999448,0.0002019421,0.00006587878,0.0001021037,0.0001494229,0.00003266328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001363092,0.0001907811,0.003756796,0.0009272862,0.00009531582,0.0001450942,0.0003467528,0.06665245,0.02453533,0.06597927,0.004723784,0.8325108],"study_design_scores_gemma":[0.00004920455,0.0002143145,0.003724583,0.0002551991,0.0001612703,0.0005472676,0.0006432634,0.8368446,0.02972698,0.08242738,0.04533013,0.00007577742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03524972,0.003435303,0.9426053,0.0006061013,0.0001271039,0.0001146963,0.0001722406,0.0008036037,0.01688594],"genre_scores_gemma":[0.296276,0.004817171,0.6912796,0.0001368129,0.0001395912,0.0000748415,0.0005639735,0.0001172638,0.00659466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004507896,"threshold_uncertainty_score":0.01508045,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Michael Morin","is_ca":true},{"name":"Frédérik Paradis","is_ca":true},{"name":"Amélie Rolland","is_ca":true},{"name":"Jean Wery","is_ca":true},{"name":"Jonathan Gaudreault","is_ca":true},{"name":"François Laviolette","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09275486051425094,"gpt":0.3199001373829182,"spread":0.2271452768686672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576143,0.0006788701,0.0008115994,0.0008296347,0.0004399956,0.0008633101,0.0015486,0.001343045,0.002970219],"category_scores_gemma":[0.006146234,0.0004372,0.001173966,0.0005537535,0.0007267967,0.001167935,0.0008918954,0.001352766,0.0004752523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382297,"about_ca_system_score_gemma":0.000990247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003429407,"about_ca_topic_score_gemma":0.002860765,"domain_scores_codex":[0.9993681,0.0002462823,0.00004667275,0.00009950503,0.000189874,0.00004951648],"domain_scores_gemma":[0.9967623,0.001819008,0.0002923721,0.0005556704,0.0004423284,0.0001282221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001126571,0.00001644969,0.0002638306,0.00000983147,0.000005244196,0.000009403191,0.000007020314,0.9938009,0.0003939927,0.002735098,0.00008615496,0.002660864],"study_design_scores_gemma":[0.000001505669,0.000004542362,0.00002004687,0.000001205654,4.836917e-7,0.000001934929,9.053708e-7,0.998215,0.0002504997,0.001389605,0.0001129721,0.000001390149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03578746,0.00008466976,0.9598753,0.0001964441,0.00003125837,0.00008784275,0.0003810243,0.001683976,0.001871928],"genre_scores_gemma":[0.6665632,0.0001378199,0.3296832,0.0001355706,0.00002726544,0.0004142595,0.001191205,0.0004099265,0.001437621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003429407,"threshold_uncertainty_score":0.01002926,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Abeer Al-Hyari","is_ca":false},{"name":"Mua’ad Abu-Faraj","is_ca":false},{"name":"Charlie Obimbo","is_ca":true},{"name":"Moutaz Alazab","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01559833353367179,"gpt":0.2696537229272543,"spread":0.2540553893935825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643205,0.0005266542,0.0003784555,0.0006286522,0.0003137405,0.0005306148,0.0006004849,0.0005070224,0.001175761],"category_scores_gemma":[0.0007229614,0.0002054439,0.0003670402,0.0004002626,0.0004537939,0.001099617,0.001034417,0.0005941871,0.0004516398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355117,"about_ca_system_score_gemma":0.0003598318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000338907,"about_ca_topic_score_gemma":0.0003362329,"domain_scores_codex":[0.9996692,0.00005202453,0.00001972255,0.00005046032,0.0001793088,0.00002934403],"domain_scores_gemma":[0.9998185,0.00004514608,0.00003280613,0.00004119612,0.00004918887,0.00001321416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004696764,0.000122704,0.00210682,0.0003243533,0.0001838369,0.0008301749,0.0003316328,0.1148133,0.3150244,0.0621403,0.002462375,0.5011904],"study_design_scores_gemma":[0.00003217336,0.0003617542,0.0009276596,0.00002837465,0.00005564802,0.001260862,0.00005703128,0.8448605,0.1222213,0.0119148,0.01821105,0.00006877659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03914764,0.0007802436,0.9534826,0.0001936564,0.00008646803,0.00008406905,0.00002387291,0.0006111754,0.005590302],"genre_scores_gemma":[0.7141137,0.0006965876,0.2774188,0.00011131,0.00007267108,0.0001032622,0.00007670503,0.00009805559,0.007308918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001175761,"threshold_uncertainty_score":0.003933311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}