{"meta":{"query_hash":"ebf2de487aaa","filters":{"venue":"Second International Meeting for Applied Geoscience &amp; Energy"},"cohort_total":38,"direct_labels_cover":0,"predictions_cover":38,"exported":38,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ebf2de487aaa","api":"https://metacan.xera.ac/api/v1/cohort?venue=Second+International+Meeting+for+Applied+Geoscience+%26amp%3B+Energy"},"results":[{"id":"W4291716931","doi":"10.1190/image2022-3751513.1","title":"South Halfway 3D: An example of a challenging onshore acquisition and subsequent processing and a unique way of performing a prestack elastic inversion on a difficult dataset","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prestack; Inversion (geology); Computer science; Geology; Computational science; Algorithm; Seismology","score_opus":0.028220450707845714,"score_gpt":0.23425931468441547,"score_spread":0.20603886397656976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291716931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928525,0.00008155492,0.0051546297,0.00006427106,0.00008887477,0.00014090125,0.0008291945,0.000030156834,0.00075790304],"genre_scores_gemma":[0.99318445,0.000018207707,0.0047415663,0.0003051787,0.000027148693,0.000016091042,0.0016359149,0.000005251785,0.000066175046],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987656,0.000040087674,0.0002559117,0.0003978534,0.0003435892,0.00019696813],"domain_scores_gemma":[0.9993576,0.00013093183,0.00024069128,0.00013140963,0.00006604463,0.00007334546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006070231,0.00012660735,0.0001508536,0.00024132176,0.00038389914,0.000043869164,0.00024771047,0.000033585417,0.00018168238],"category_scores_gemma":[0.00004114539,0.00011617733,0.0000211329,0.0001576861,0.0001681092,0.00023338622,0.00007883172,0.00010194991,3.7131932e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029520323,0.0008740058,0.02558443,0.0016157719,0.00016843816,0.000010230355,0.049762864,0.11030997,0.18748564,0.02592158,0.0031457364,0.5921693],"study_design_scores_gemma":[0.0014346748,0.0010738592,0.0059832954,0.00039099736,0.000046538727,0.00006979798,0.008537477,0.885285,0.024125913,0.0034757762,0.068825275,0.0007513863],"about_ca_topic_score_codex":0.0026505578,"about_ca_topic_score_gemma":0.0002798605,"teacher_disagreement_score":0.77497506,"about_ca_system_score_codex":0.000019688157,"about_ca_system_score_gemma":0.0000450675,"threshold_uncertainty_score":0.47375742},"labels":[],"label_agreement":null},{"id":"W4291717789","doi":"10.1190/image2022-3744488.1","title":"Interpolated fast and computational-efficient multidimensional singular spectrum analysis (I-FMSSA) for compressive simultaneous-source data processing","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpolation (computer graphics); Computer science; Algorithm; Grid; Projection (relational algebra); Compressed sensing; Mathematics; Artificial intelligence; Geometry; Image (mathematics)","score_opus":0.02050509535983291,"score_gpt":0.28172349281984344,"score_spread":0.2612183974600105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291717789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03150236,0.00008206101,0.9659401,0.00079184317,0.00026103022,0.0004011282,0.00034176733,0.00024004845,0.00043965748],"genre_scores_gemma":[0.65597266,0.000001285679,0.34117302,0.00093677297,0.000052418534,0.00017411317,0.0010232866,0.000019734161,0.00064667035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967978,0.00008312879,0.00058942166,0.0012703611,0.0008356598,0.0004236372],"domain_scores_gemma":[0.9975115,0.0009075209,0.00055316836,0.00056878163,0.00033091026,0.00012810128],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012242739,0.00027398483,0.00032324556,0.00065655005,0.0010696809,0.00043168053,0.0019706504,0.00006194875,0.00005867327],"category_scores_gemma":[0.00022656497,0.00029473176,0.00011542946,0.0009111575,0.0001791502,0.0003434655,0.0017273276,0.00019153922,0.0000013728524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007975837,0.00019225148,0.00003178579,0.000015514372,0.00014094554,0.0000010521436,0.0013189322,0.90089804,0.007887957,0.07259779,0.0003441848,0.0164918],"study_design_scores_gemma":[0.00046790263,0.000051044724,0.00004267338,0.000015408341,0.000036218098,0.000018879631,0.00011479199,0.9075039,0.0009895259,0.005582999,0.08486627,0.00031035772],"about_ca_topic_score_codex":0.00007947776,"about_ca_topic_score_gemma":0.00015128835,"teacher_disagreement_score":0.62476707,"about_ca_system_score_codex":0.00016578312,"about_ca_system_score_gemma":0.00017395237,"threshold_uncertainty_score":0.99995047},"labels":[],"label_agreement":null},{"id":"W4291718005","doi":"10.1190/image2022-3745244.1","title":"Physics-based preconditioned multidimensional deconvolution in the time domain","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Deconvolution; Physics; Time domain; Domain (mathematical analysis); Statistical physics; Computer science; Mathematical analysis; Optics; Mathematics; Computer vision","score_opus":0.012673946472050193,"score_gpt":0.22321546126098163,"score_spread":0.21054151478893143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8806729,0.00010742149,0.056268014,0.0035302034,0.001760305,0.00068231625,0.0011546722,0.00023460813,0.05558958],"genre_scores_gemma":[0.9663671,0.0000020032514,0.020453267,0.009021476,0.00016307713,0.00011897015,0.0020940509,0.0000068330787,0.0017732243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984274,0.000094165734,0.0002677204,0.0003905333,0.00052413455,0.00029603762],"domain_scores_gemma":[0.9991935,0.0003774416,0.00016119359,0.0001743376,0.000049999682,0.00004353752],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011785203,0.00013475785,0.000117070595,0.00017362078,0.00062631856,0.00006190242,0.00059378677,0.000031915828,0.0041968124],"category_scores_gemma":[0.00004534264,0.00011525992,0.00007875588,0.00029022884,0.0001388219,0.00016746465,0.000036924823,0.0001523913,0.000058166333],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012505477,0.0010280975,0.014695149,0.0000657823,0.00010672124,0.000011094346,0.0042700656,0.39224526,0.05679307,0.10903731,0.17566758,0.2448293],"study_design_scores_gemma":[0.0008028487,0.000083851024,0.003746848,0.0000139085405,0.0000053402523,0.000016980805,0.00036181687,0.18657817,0.0021155092,0.037551936,0.76840657,0.00031624036],"about_ca_topic_score_codex":0.0012303062,"about_ca_topic_score_gemma":0.00036452408,"teacher_disagreement_score":0.592739,"about_ca_system_score_codex":0.000048036043,"about_ca_system_score_gemma":0.00008974492,"threshold_uncertainty_score":0.99671346},"labels":[],"label_agreement":null},{"id":"W4291718120","doi":"10.1190/image2022-3749247.1","title":"ERT and crosswell EM imaging of CO2: Examples from a shallow injection experiment at the Carbon Management Canada CaMI FRS in Southeast Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carbon Management Canada","funders":"Lawrence Berkeley National Laboratory; National Energy Technology Laboratory; Government of Canada; U.S. Department of Energy; University of Calgary; Cenovus Energy; Canada First Research Excellence Fund","keywords":"Geology; Seismology; Remote sensing; Mining engineering","score_opus":0.008182086277409373,"score_gpt":0.20212916505898643,"score_spread":0.19394707878157705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892977,0.00016559701,0.00015127295,0.0002548798,0.0005804903,0.00014158912,0.00026188418,0.000004890438,0.009141717],"genre_scores_gemma":[0.99620444,0.0000034014586,0.0006467905,0.0003965514,0.000050615683,0.00004539419,0.0002073721,0.0000040995387,0.0024413648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998443,0.00005988166,0.00027490576,0.00040199517,0.00051664293,0.0003035812],"domain_scores_gemma":[0.99917763,0.00044866017,0.00013982253,0.00013068119,0.000028201197,0.000074987154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003055333,0.00013424046,0.00015041922,0.00006152272,0.00032569055,0.000039813043,0.00035745304,0.000014541027,0.00061006984],"category_scores_gemma":[0.000030649437,0.0001093756,0.000028493563,0.00022553727,0.00007265718,0.00003653811,0.00011209179,0.00009476289,4.316458e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011507429,0.00023931547,0.19050336,0.00011107455,0.00025217247,0.000020159647,0.0056223124,0.40119737,0.011644307,0.010399765,0.0025119456,0.37634748],"study_design_scores_gemma":[0.00168767,0.0001412699,0.46123615,0.000052019328,0.00003773398,0.000022834989,0.012273341,0.13078022,0.0054084966,0.009393671,0.37794077,0.001025813],"about_ca_topic_score_codex":0.99744415,"about_ca_topic_score_gemma":0.99965155,"teacher_disagreement_score":0.37542886,"about_ca_system_score_codex":0.00012510354,"about_ca_system_score_gemma":0.0001849163,"threshold_uncertainty_score":0.66798365},"labels":[],"label_agreement":null},{"id":"W4291718172","doi":"10.1190/image2022-3741811.1","title":"Stepsize sharing in time-lapse full-waveform inversion","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Inversion (geology); Waveform; Computer science; Real-time computing; Geology; Telecommunications; Seismology","score_opus":0.01580610418497982,"score_gpt":0.22199431748661475,"score_spread":0.20618821330163492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90091175,0.000058503327,0.0023412202,0.00063328707,0.0012970192,0.00023097599,0.00017300238,0.00018345992,0.0941708],"genre_scores_gemma":[0.9710472,0.0000144744245,0.008027373,0.0041493145,0.00014012898,0.000045135796,0.00074555376,0.00001076046,0.01582002],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980559,0.000026567686,0.00033924455,0.0005541366,0.00061339774,0.0004107705],"domain_scores_gemma":[0.9993344,0.00014346011,0.00016966731,0.00021225824,0.000046232602,0.00009396542],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010729282,0.00016350293,0.00016253919,0.00039044934,0.0004761642,0.00011692858,0.0010625906,0.000046261986,0.008282591],"category_scores_gemma":[0.00007074513,0.00016459503,0.00007599659,0.0003807927,0.0001018201,0.0002721874,0.0002046195,0.00019473107,0.000108523665],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019517093,0.00056733517,0.08326319,0.0001343148,0.00012347191,0.000025969017,0.004623388,0.08292932,0.06486449,0.023620272,0.1293424,0.6085541],"study_design_scores_gemma":[0.00059640757,0.00008978778,0.001163406,0.000024315957,0.0000044007334,0.000022768865,0.00037631713,0.13550948,0.0023711273,0.0096317185,0.84984636,0.0003638919],"about_ca_topic_score_codex":0.0033151528,"about_ca_topic_score_gemma":0.00075442164,"teacher_disagreement_score":0.720504,"about_ca_system_score_codex":0.00008351888,"about_ca_system_score_gemma":0.00005817342,"threshold_uncertainty_score":0.992624},"labels":[],"label_agreement":null},{"id":"W4291718417","doi":"10.1190/image2022-3751668.1","title":"Deep learning decomposition for null and active space estimation for thin-bed reflectivity inversion","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reflectivity; Inversion (geology); Decomposition; Computer science; Artificial intelligence; Geology; Optics; Physics; Chemistry; Seismology","score_opus":0.013969360921960682,"score_gpt":0.25938099966565864,"score_spread":0.24541163874369795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34950212,0.00006095022,0.64215076,0.0010153265,0.0009082231,0.000591115,0.0002486151,0.00016654232,0.005356314],"genre_scores_gemma":[0.89803684,0.000011219484,0.09808502,0.0011493856,0.00009849878,0.00014059522,0.0012918331,0.000008613793,0.001178022],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877965,0.0000412841,0.00019165334,0.00045006405,0.0002711977,0.00026614894],"domain_scores_gemma":[0.998964,0.00055371586,0.00022251767,0.00008797504,0.00010544643,0.0000663424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007522228,0.00013603044,0.00013594294,0.0001990749,0.0011509237,0.000099107274,0.00025396678,0.000046189834,0.00023458674],"category_scores_gemma":[0.00018839454,0.00014176969,0.00006944308,0.00014564954,0.00008567975,0.0002950859,0.00004847128,0.00011972014,0.000002261802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020228676,0.00011958925,0.0015918905,0.00011842335,0.00007810102,4.347886e-7,0.0029211452,0.21208085,0.037409917,0.022450622,0.010005137,0.711201],"study_design_scores_gemma":[0.00049139996,0.00018159901,0.00024341885,0.000011400675,0.000011157334,0.0000067198985,0.00043238557,0.7453174,0.011937499,0.020028034,0.22114453,0.00019448684],"about_ca_topic_score_codex":0.0008971907,"about_ca_topic_score_gemma":0.00034183371,"teacher_disagreement_score":0.7110065,"about_ca_system_score_codex":0.00006377844,"about_ca_system_score_gemma":0.000040301755,"threshold_uncertainty_score":0.885209},"labels":[],"label_agreement":null},{"id":"W4291718418","doi":"10.1190/image2022-3735220.1","title":"Application of migration modeling to unconventional reservoirs: An example from the Montney Formation northeastern British Columbia","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geology; Computer science","score_opus":0.023773358384182857,"score_gpt":0.2257151249284958,"score_spread":0.20194176654431295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5507259,0.00002226457,0.4478976,0.00010485115,0.00021496842,0.00017787603,0.00017211663,0.000056852696,0.00062758895],"genre_scores_gemma":[0.991907,0.000009166749,0.003510387,0.00022392414,0.00016031261,0.00080249115,0.0024611156,0.00002280878,0.00090277934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831283,0.000039240684,0.00051627605,0.00033583195,0.00059585355,0.00019999334],"domain_scores_gemma":[0.99923724,0.00007754417,0.00014212562,0.00028141274,0.00018112523,0.00008053346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005562389,0.000106940235,0.0001498668,0.00009036336,0.00066264207,0.0003768894,0.00061077066,0.000039899816,0.0002945871],"category_scores_gemma":[0.000025055286,0.00013689318,0.000091606984,0.00038463846,0.000031768053,0.00035541644,0.000111490954,0.000099468416,0.0000048095726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019951867,0.000038135076,0.00022805239,0.0000069664397,0.000027883361,5.959511e-8,0.00085900555,0.97952276,0.013001342,0.0005933006,0.0006099884,0.0050925724],"study_design_scores_gemma":[0.00026560994,0.000018462315,0.00013200167,0.000009820081,0.000010994008,0.0000018828326,0.0009766008,0.92050534,0.00033338566,0.0030765526,0.07451756,0.00015176486],"about_ca_topic_score_codex":0.07522922,"about_ca_topic_score_gemma":0.57219595,"teacher_disagreement_score":0.4969667,"about_ca_system_score_codex":0.00013463179,"about_ca_system_score_gemma":0.000030298119,"threshold_uncertainty_score":0.9309289},"labels":[],"label_agreement":null},{"id":"W4291718689","doi":"10.1190/image2022-3750519.1","title":"Surface-based modeling of 3D architectural elements controlled by near-wellbore modeling","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Wellbore; Computer science; Solid modeling; Surface (topology); Geology; Petroleum engineering; Artificial intelligence; Geometry","score_opus":0.02299010583429314,"score_gpt":0.2320758085564079,"score_spread":0.20908570272211474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95837986,0.00019438803,0.032967113,0.00011164915,0.0005897504,0.00023186633,0.0008053396,0.00005047953,0.0066695735],"genre_scores_gemma":[0.9824075,0.000003446285,0.014246023,0.00038070552,0.00005380263,0.000029786781,0.0015036014,0.000009042603,0.001366067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769014,0.00008100194,0.0005696589,0.0004843299,0.0007315427,0.0004433057],"domain_scores_gemma":[0.9991621,0.00020293776,0.00024187528,0.00016938106,0.00012111975,0.00010261004],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011391665,0.00020616277,0.00029934055,0.00007929385,0.00072281767,0.00010659471,0.0006763367,0.000042622203,0.0019177754],"category_scores_gemma":[0.0000761644,0.00018042455,0.00013405856,0.00022013529,0.00008802903,0.000115431096,0.000053515072,0.00016479315,0.000006409374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036171247,0.000028953038,0.0013946741,0.000010082944,0.000024458799,2.2860102e-7,0.00018392061,0.9890035,0.0033051416,0.00014951348,0.00011848142,0.0054193786],"study_design_scores_gemma":[0.001460366,0.000061481056,0.000038886476,0.00001127032,0.000008763672,0.0000027163455,0.00021007657,0.98925793,0.0001920188,0.00064761296,0.007882191,0.00022669272],"about_ca_topic_score_codex":0.0025958398,"about_ca_topic_score_gemma":0.002421019,"teacher_disagreement_score":0.024027685,"about_ca_system_score_codex":0.000029837991,"about_ca_system_score_gemma":0.00009909393,"threshold_uncertainty_score":0.9989946},"labels":[],"label_agreement":null},{"id":"W4291718762","doi":"10.1190/image2022-3745949.1","title":"Character of mass failures driven by contourite collapse: Examples from offshore Newfoundland, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Contourite; Submarine pipeline; Character (mathematics); Geology; Computer science; Oceanography; Paleontology; Mathematics; Sediment; Geometry","score_opus":0.010455863375707251,"score_gpt":0.20123917967853924,"score_spread":0.190783316302832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541754,0.00033726593,0.006389758,0.0020886364,0.0025684966,0.000310158,0.010149574,0.000107643194,0.023873072],"genre_scores_gemma":[0.981835,0.000016077634,0.0060229762,0.003084578,0.00015582028,0.0000293325,0.0033826476,0.000007677231,0.0054658595],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828434,0.000039211536,0.00033851215,0.0004165954,0.00062011165,0.0003012186],"domain_scores_gemma":[0.99906725,0.00029205575,0.00027381166,0.0001826386,0.000090080604,0.000094160314],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031180505,0.00015811654,0.00020644056,0.00011141385,0.0003643385,0.000072223185,0.00075086224,0.000036793484,0.0055218325],"category_scores_gemma":[0.000049605802,0.00015408792,0.000060448085,0.00015963014,0.00012601359,0.00013624252,0.0000589337,0.00011804096,0.0000036981414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005587926,0.00011973722,0.12888691,0.00004658975,0.00022983341,0.0000063653342,0.0011884037,0.007815138,0.09257313,0.0072589833,0.6676581,0.09365802],"study_design_scores_gemma":[0.00028982974,0.000032412685,0.0027371836,0.000009880667,0.0000064700935,0.0000030220856,0.00038372524,0.0064603793,0.0036851,0.0014365629,0.9847513,0.00020413785],"about_ca_topic_score_codex":0.7621051,"about_ca_topic_score_gemma":0.5992438,"teacher_disagreement_score":0.3170932,"about_ca_system_score_codex":0.00006604425,"about_ca_system_score_gemma":0.00022664898,"threshold_uncertainty_score":0.99538726},"labels":[],"label_agreement":null},{"id":"W4291718831","doi":"10.1190/image2022-3727331.1","title":"ML-based deconvolution method for high-resolution fast inversion of induction log data in deviated wells","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terry Fox Research Institute","funders":"","keywords":"Deconvolution; Inversion (geology); High resolution; Computer science; Algorithm; Geology; Remote sensing; Seismology","score_opus":0.032048940704145226,"score_gpt":0.2688026772909807,"score_spread":0.23675373658683546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25085956,0.00010456103,0.73998344,0.0011901393,0.0022413058,0.00057655014,0.0020411788,0.00012696466,0.0028762901],"genre_scores_gemma":[0.8766636,0.000008143126,0.115464255,0.0012505322,0.00008626243,0.000043689088,0.005917046,0.0000074016716,0.0005590545],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821585,0.00008717146,0.00042357383,0.0005687257,0.00041344613,0.0002912226],"domain_scores_gemma":[0.9988821,0.00031728865,0.00034491197,0.00029261017,0.000110074376,0.000052997704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001876132,0.00013997598,0.00018165559,0.0004692181,0.00033518212,0.000035191846,0.0008149985,0.00006588964,0.0007710639],"category_scores_gemma":[0.00018278694,0.00014674077,0.00005246504,0.00041539143,0.000104944214,0.00030523195,0.00010440748,0.00012764355,0.0000044779904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018727193,0.0004396471,0.012633007,0.00020541006,0.00008415797,0.0000011337304,0.00066200574,0.35414663,0.07068963,0.021165423,0.05514418,0.48295605],"study_design_scores_gemma":[0.0008216588,0.00011852284,0.0015606838,0.000026265237,0.0000116815345,0.0000036865051,0.0002350422,0.74272853,0.013091977,0.008284339,0.23288912,0.00022849665],"about_ca_topic_score_codex":0.011686196,"about_ca_topic_score_gemma":0.0018086453,"teacher_disagreement_score":0.62580407,"about_ca_system_score_codex":0.000080298414,"about_ca_system_score_gemma":0.00012813567,"threshold_uncertainty_score":0.9948951},"labels":[],"label_agreement":null},{"id":"W4291718832","doi":"10.1190/image2022-3750748.1","title":"Regularization by robust denoising for iterative simultaneous source separation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Noise reduction; Regularization (linguistics); Algorithm; Source separation; Inversion (geology); Iterative method; Artificial intelligence; Geology","score_opus":0.01359480159507285,"score_gpt":0.23587811744142392,"score_spread":0.22228331584635108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050830312,0.00010489179,0.93319285,0.0005508989,0.0010510975,0.00040353616,0.00074823725,0.00018709504,0.012931103],"genre_scores_gemma":[0.9245491,0.0000065547415,0.036297943,0.0041421517,0.00022975692,0.00010579222,0.0050101588,0.000014912572,0.029643623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984754,0.0000402753,0.00029489063,0.00048060005,0.0004086594,0.00030018805],"domain_scores_gemma":[0.9990313,0.00039589536,0.00023480144,0.00013539878,0.00013695979,0.00006561789],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006028874,0.00015358915,0.00013275696,0.00016763192,0.0010154,0.00018487978,0.00043744207,0.000045777506,0.0010868511],"category_scores_gemma":[0.00017040099,0.00015985442,0.00006932097,0.00022028858,0.00009028448,0.00024117737,0.000041392606,0.00009668054,0.0000070997025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036052646,0.00008512541,0.00059636246,0.000027860282,0.000045474553,6.422901e-7,0.0015612006,0.74656826,0.025040673,0.010295045,0.072549894,0.14286897],"study_design_scores_gemma":[0.00022420971,0.00006332596,0.00001012611,0.000006123298,0.0000054839134,0.0000076058195,0.00021501844,0.35067627,0.005781998,0.003605066,0.6392294,0.000175341],"about_ca_topic_score_codex":0.0006627315,"about_ca_topic_score_gemma":0.00022256107,"teacher_disagreement_score":0.8968949,"about_ca_system_score_codex":0.000054962424,"about_ca_system_score_gemma":0.000055174463,"threshold_uncertainty_score":0.9998263},"labels":[],"label_agreement":null},{"id":"W4291718956","doi":"10.1190/image2022-3751045.1","title":"Robust reconstruction via orthogonal matching pursuit with Fourier operators","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Matching pursuit; Interpolation (computer graphics); Algorithm; Computer science; Fourier transform; Noise (video); Estimator; Matching (statistics); Mathematics; Artificial intelligence; Compressed sensing; Mathematical analysis; Image (mathematics)","score_opus":0.016152594780919693,"score_gpt":0.20477575859086536,"score_spread":0.18862316380994568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291718956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79418033,0.000075457836,0.14747176,0.0010076633,0.0028372111,0.00028672503,0.00036503366,0.00028284919,0.053492986],"genre_scores_gemma":[0.91331995,0.000008698278,0.07626323,0.0037623388,0.00029207143,0.00006817348,0.0006541807,0.000015086633,0.005616273],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811006,0.00003955051,0.00028663164,0.0005311626,0.0006582759,0.00037431103],"domain_scores_gemma":[0.99930567,0.00012103296,0.00019681703,0.00017938812,0.000091140944,0.00010596861],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008245514,0.00017937983,0.00015729504,0.00024596762,0.00093912886,0.00017179264,0.000643188,0.000040047544,0.0060024075],"category_scores_gemma":[0.000029722325,0.00016087982,0.000065963344,0.00029739956,0.00016887375,0.0003296678,0.000070792215,0.00019951796,0.00001974564],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005610451,0.00010283834,0.017585134,0.000032563876,0.00011771946,0.0000066617163,0.0010374871,0.17899263,0.0066582384,0.019116208,0.017547317,0.75824213],"study_design_scores_gemma":[0.00070632267,0.00018543567,0.0015553545,0.000033099026,0.000018245082,0.00036922045,0.0010270126,0.068659216,0.0029521321,0.015431355,0.9083749,0.0006876952],"about_ca_topic_score_codex":0.0021317976,"about_ca_topic_score_gemma":0.0010041351,"teacher_disagreement_score":0.8908276,"about_ca_system_score_codex":0.000046732664,"about_ca_system_score_gemma":0.00010358299,"threshold_uncertainty_score":0.99490625},"labels":[],"label_agreement":null},{"id":"W4291719165","doi":"10.1190/image2022-3745381.1","title":"Fracture imaging using DAS-recorded microseismic reflections","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microseism; Geology; Hydraulic fracturing; Fracture (geology); Seismology; Ray tracing (physics); Frequency domain; Domain (mathematical analysis); Tracing; Acoustics; Time domain; Computer science; Optics; Computer vision; Physics; Geotechnical engineering","score_opus":0.02312499248194086,"score_gpt":0.2819037316689421,"score_spread":0.2587787391870012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291719165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5233886,0.00064445654,0.30756685,0.005015307,0.009974933,0.00068246166,0.0014123151,0.0009208793,0.1503942],"genre_scores_gemma":[0.934493,0.000013020985,0.043674078,0.014602931,0.00033201484,0.000033577224,0.0007817507,0.000015835736,0.0060537728],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981819,0.00004404525,0.00032725846,0.0005662786,0.000442804,0.000437763],"domain_scores_gemma":[0.99920404,0.00014902547,0.00023564565,0.00022469103,0.000091088456,0.000095501324],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006213569,0.00019159786,0.0001596253,0.0003474231,0.0013669917,0.00016976762,0.0007299048,0.000038752878,0.004851655],"category_scores_gemma":[0.000060433813,0.00019751074,0.00010818977,0.0003751112,0.00014693508,0.00026487556,0.00009193009,0.0002398443,0.000021851327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052817457,0.0003012438,0.018959586,0.00006343172,0.00016328355,0.0000108627855,0.002890083,0.23944865,0.19485895,0.008017815,0.21760908,0.31714883],"study_design_scores_gemma":[0.00021234121,0.00002046623,0.00027172428,0.00000877032,0.000008002904,0.00005831399,0.00036635526,0.06390483,0.0037802954,0.005992827,0.92511624,0.0002598284],"about_ca_topic_score_codex":0.0086737,"about_ca_topic_score_gemma":0.00056518073,"teacher_disagreement_score":0.7075072,"about_ca_system_score_codex":0.000078541656,"about_ca_system_score_gemma":0.0001251297,"threshold_uncertainty_score":0.99993306},"labels":[],"label_agreement":null},{"id":"W4291743185","doi":"10.1190/image2022-3749878.1","title":"Incorporating estimates of data covariance in elastic FWI to combat random and correlated noise","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Covariance; Random noise; Noise (video); Computer science; Covariance matrix; Algorithm; Statistics; Mathematics; Artificial intelligence","score_opus":0.025301554357704675,"score_gpt":0.2520583378153223,"score_spread":0.2267567834576176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291743185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.806722,0.00031311833,0.17559452,0.0009646493,0.0015640579,0.0005572124,0.00158499,0.00014567676,0.012553785],"genre_scores_gemma":[0.9441972,0.0000072205758,0.05351898,0.0010844303,0.000028953062,0.00001917323,0.000791668,0.000004979396,0.00034744406],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863327,0.0000331935,0.000354834,0.00044430897,0.00031815292,0.00021622857],"domain_scores_gemma":[0.9989107,0.00054201565,0.00020685661,0.00021919249,0.000052113464,0.00006909489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010639186,0.000121903366,0.00019023992,0.00024525658,0.00024409099,0.000054919696,0.0007708055,0.000027834272,0.00050113705],"category_scores_gemma":[0.0003112811,0.000117634125,0.00002062466,0.0003512603,0.00013189563,0.00023012389,0.00021962203,0.000117681986,0.0000047126027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024515202,0.00031537694,0.10418326,0.0001732372,0.000107184125,0.000011094292,0.0026842307,0.3951455,0.042742584,0.025345586,0.023203854,0.40363657],"study_design_scores_gemma":[0.0015333692,0.00013083822,0.004687794,0.00008130876,0.0000123780765,0.000029908228,0.00041045452,0.86265993,0.002061582,0.0138573805,0.11415438,0.00038069344],"about_ca_topic_score_codex":0.0042165467,"about_ca_topic_score_gemma":0.0008611436,"teacher_disagreement_score":0.4675144,"about_ca_system_score_codex":0.000017090517,"about_ca_system_score_gemma":0.00006425282,"threshold_uncertainty_score":0.63741857},"labels":[],"label_agreement":null},{"id":"W4291743722","doi":"10.1190/image2022-3745280.1","title":"Predicting the time-evolution of CO2 saturation through a combination of rock physics and full-waveform inversion","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Inversion (geology); Saturation (graph theory); Waveform; Geology; Physics; Computational physics; Computer science; Geophysics; Seismology; Mathematics; Telecommunications","score_opus":0.011281359983748988,"score_gpt":0.20745069564507504,"score_spread":0.19616933566132605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291743722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95223844,0.00009586089,0.036388714,0.0005321348,0.0005313619,0.00022438429,0.00017299193,0.0000510695,0.00976506],"genre_scores_gemma":[0.99647164,0.000011081289,0.00215352,0.00029809156,0.000054321466,0.000010892501,0.00032949782,0.0000033037702,0.00066765846],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989238,0.00003564127,0.00026457742,0.00021848726,0.00041822295,0.00013927105],"domain_scores_gemma":[0.99922025,0.00017853799,0.00035631313,0.00010996856,0.0001127638,0.000022173488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055217335,0.00008916378,0.0001105329,0.00008226738,0.00042812355,0.000025434929,0.00028722628,0.000029250732,0.00027741332],"category_scores_gemma":[0.000066413675,0.00007387515,0.000044843844,0.0002334072,0.00012025945,0.00025667588,0.000067927474,0.00008989775,0.0000024929764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014175592,0.00045796848,0.03976541,0.000320909,0.0002019278,5.7121025e-7,0.013247324,0.1983257,0.27688757,0.20654629,0.02968234,0.23314643],"study_design_scores_gemma":[0.0006704871,0.00029336906,0.0033038093,0.000044030177,0.000023039174,0.000014256256,0.001745269,0.8435141,0.022250867,0.046888247,0.08101189,0.00024068185],"about_ca_topic_score_codex":0.0022355572,"about_ca_topic_score_gemma":0.00012891296,"teacher_disagreement_score":0.64518833,"about_ca_system_score_codex":0.000036143912,"about_ca_system_score_gemma":0.00004965755,"threshold_uncertainty_score":0.3379509},"labels":[],"label_agreement":null},{"id":"W4291752761","doi":"10.1190/image2022-3737909.1","title":"Joint inversion of gravity and magnetic data using indicator functions","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inversion (geology); Joint (building); Geodesy; Geology; Computer science; Geophysics; Seismology; Engineering; Structural engineering","score_opus":0.048419930258206643,"score_gpt":0.2596185260397716,"score_spread":0.21119859578156494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291752761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827272,0.00016252833,0.011690061,0.00020749198,0.0007089292,0.00012929861,0.0009426437,0.000021988566,0.0034098374],"genre_scores_gemma":[0.97658885,0.000006954252,0.021474775,0.00030790945,0.00009839265,0.0000072502185,0.0005724926,0.0000035081412,0.0009398685],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986141,0.000056351884,0.0002516986,0.00044689974,0.00039470405,0.00023629406],"domain_scores_gemma":[0.9992321,0.00023103271,0.00017143808,0.00022415252,0.00003870978,0.00010253717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006587426,0.00010466466,0.00015240375,0.00016178981,0.00043706896,0.00003679619,0.0005366774,0.000029419625,0.0017021286],"category_scores_gemma":[0.00013052563,0.0000963448,0.000039909948,0.00033828255,0.00015507327,0.00013015691,0.00023772709,0.000119752796,0.0000071333707],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034110624,0.00029270357,0.014829669,0.000084590785,0.000067559246,0.0000014820547,0.00041160747,0.0175539,0.073090024,0.012971979,0.0026226088,0.87773275],"study_design_scores_gemma":[0.0011362511,0.00055950705,0.08527407,0.000021518132,0.00007045814,0.000037838392,0.0004542688,0.27651352,0.0027562936,0.06351855,0.5689268,0.0007309176],"about_ca_topic_score_codex":0.0020050106,"about_ca_topic_score_gemma":0.000699427,"teacher_disagreement_score":0.8770019,"about_ca_system_score_codex":0.000011869373,"about_ca_system_score_gemma":0.00005817192,"threshold_uncertainty_score":0.9992105},"labels":[],"label_agreement":null},{"id":"W4291752848","doi":"10.1190/image2022-3749277.1","title":"Machine learnings and lessons learned on improvements to Castagna’s mudrock, Gardner’s density, and Faust’s velocity estimation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"FAUST; Estimation; Geology; Engineering; Computer science; Systems engineering; Programming language","score_opus":0.0269684406846941,"score_gpt":0.2676373113303508,"score_spread":0.2406688706456567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291752848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560421,0.000052711024,0.023894373,0.0047671497,0.0007108938,0.00028927965,0.0002836917,0.00014500297,0.013814796],"genre_scores_gemma":[0.9773483,0.000016415177,0.012083649,0.0051327525,0.000043751512,0.000026924605,0.0003032839,0.0000071169525,0.0050377995],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855846,0.00003357699,0.00020223117,0.0005199009,0.00041214537,0.00027367676],"domain_scores_gemma":[0.9994411,0.00012581461,0.00013476932,0.00012269868,0.000050652263,0.00012500086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006601086,0.00015126937,0.0001375071,0.00022953072,0.0007552341,0.00013162856,0.00028345757,0.00003334495,0.00055465125],"category_scores_gemma":[0.00013376659,0.00015071366,0.000030147174,0.0001494412,0.000092969916,0.00013070379,0.00014988576,0.00016172274,0.000011180872],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028603408,0.00006552528,0.0051777675,0.000029139497,0.000026527123,0.0000020975658,0.001079689,0.018594995,0.0069219717,0.009998093,0.007858494,0.94995964],"study_design_scores_gemma":[0.0006811337,0.000337277,0.0073562874,0.000025315481,0.000012805514,0.000034428245,0.00044908465,0.2116051,0.004653232,0.012027357,0.7623502,0.00046778773],"about_ca_topic_score_codex":0.0046511167,"about_ca_topic_score_gemma":0.00070040097,"teacher_disagreement_score":0.94949186,"about_ca_system_score_codex":0.000035817186,"about_ca_system_score_gemma":0.00003629386,"threshold_uncertainty_score":0.70311284},"labels":[],"label_agreement":null},{"id":"W4291752993","doi":"10.1190/image2022-3738748.1","title":"Time-lapse monitoring of saltwater disposal in Kansas and Oklahoma using ambient noise","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science; Ambient noise level; Noise (video); Remote sensing; Hydrology (agriculture); Geology; Computer science; Geotechnical engineering; Oceanography; Sound (geography)","score_opus":0.01502579044887614,"score_gpt":0.22916429604665725,"score_spread":0.2141385055977811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291752993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720615,0.00008990067,0.00055677735,0.00006807057,0.00043482138,0.000067823545,0.00021271419,0.000011001162,0.0013527481],"genre_scores_gemma":[0.9940299,0.000010663215,0.0043987986,0.000119589065,0.00010914309,0.00000768179,0.00015957333,0.000005181864,0.0011594754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986314,0.000027091171,0.00032510006,0.00036516084,0.00037705334,0.00027416478],"domain_scores_gemma":[0.99950683,0.00011576764,0.00015802417,0.00011447247,0.000034896166,0.000069984875],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049002154,0.00012103143,0.00017526999,0.00024978342,0.00023376755,0.0000519896,0.00032271986,0.000026713695,0.0010088087],"category_scores_gemma":[0.00002640158,0.000114681505,0.00006137993,0.0002756396,0.00011172903,0.00012924089,0.000078276236,0.00008206822,0.0000038182598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038672535,0.00018869493,0.27674708,0.00006018256,0.000107296764,0.0000075678454,0.0020675738,0.5299399,0.15376335,0.0025336586,0.00017689953,0.034021042],"study_design_scores_gemma":[0.002239081,0.00024915658,0.17041808,0.00012309111,0.0000751037,0.00006157627,0.0034916846,0.6726095,0.011850635,0.008772255,0.12884629,0.0012635599],"about_ca_topic_score_codex":0.003434079,"about_ca_topic_score_gemma":0.0009012394,"teacher_disagreement_score":0.14266956,"about_ca_system_score_codex":0.000025530271,"about_ca_system_score_gemma":0.000036861078,"threshold_uncertainty_score":0.9999044},"labels":[],"label_agreement":null},{"id":"W4291753000","doi":"10.1190/image2022-3743774.1","title":"Simultaneous waveform inversion of seismic-while-drilling data for P-wave velocity, density, and source parameters","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Waveform; Inversion (geology); Seismology; Drilling; Seismic wave; Acoustics; Geodesy; Geophysics; Computer science; Physics; Materials science; Telecommunications","score_opus":0.036219893016374446,"score_gpt":0.23675009643738762,"score_spread":0.2005302034210132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7884956,0.00010485473,0.20309296,0.0007463655,0.0012085566,0.00043473902,0.00164817,0.00013125101,0.004137522],"genre_scores_gemma":[0.9365388,0.000024709076,0.05786854,0.002363353,0.00007684235,0.000013249131,0.0017738369,0.000009277737,0.001331355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828,0.000027101532,0.00033606097,0.0005899596,0.0004436893,0.0003231941],"domain_scores_gemma":[0.99851036,0.00069826323,0.00027949616,0.0003174706,0.00010427717,0.000090134155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009391516,0.00016272286,0.00020464436,0.00021025642,0.0005953325,0.00007355276,0.0007653155,0.000043244097,0.0002084951],"category_scores_gemma":[0.00022869994,0.00016091188,0.00006181364,0.00017425476,0.00021366871,0.00021113135,0.0003456801,0.00012150336,0.0000021835058],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075586984,0.00012046671,0.002558073,0.00016715855,0.00013109596,0.0000036684885,0.0017025031,0.14478886,0.006834022,0.0029360875,0.021696534,0.8183057],"study_design_scores_gemma":[0.00026818627,0.000062729916,0.000031718184,0.00001263515,0.0000109156035,0.000021119622,0.00034823842,0.65935534,0.0035877216,0.0037871993,0.33234453,0.0001696505],"about_ca_topic_score_codex":0.0032388403,"about_ca_topic_score_gemma":0.00039983942,"teacher_disagreement_score":0.81813604,"about_ca_system_score_codex":0.000031008654,"about_ca_system_score_gemma":0.00006359475,"threshold_uncertainty_score":0.6561796},"labels":[],"label_agreement":null},{"id":"W4291753150","doi":"10.1190/image2022-3742779.1","title":"Open hardware: Geophysical instrumentation for collaborations in a changing world","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"","keywords":"Instrumentation (computer programming); Computer science; Geophysics; Geology; Remote sensing; Operating system","score_opus":0.03280643142815236,"score_gpt":0.28496568037195447,"score_spread":0.2521592489438021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8060697,0.00008496337,0.07684998,0.004508954,0.00413411,0.002647729,0.0026468069,0.00013590192,0.10292187],"genre_scores_gemma":[0.92820203,0.000002196346,0.045160096,0.0018255655,0.00031167417,0.00073031,0.0014705679,0.000009326882,0.02228822],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826723,0.000060266815,0.00032540096,0.000519263,0.00037073728,0.0004570996],"domain_scores_gemma":[0.9990033,0.0005265659,0.00016326009,0.00012970286,0.0000856721,0.000091479356],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00080519647,0.00014398093,0.00019622923,0.00058094197,0.00068287965,0.0002254522,0.0008681114,0.00002624938,0.0013335409],"category_scores_gemma":[0.000151163,0.00014406734,0.00006924014,0.002120961,0.000057947724,0.0002935577,0.00015264483,0.00012424268,0.000014411217],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000745584,0.00035219325,0.0029665723,0.000034004377,0.000049017202,0.0000011668616,0.0011114137,0.05299215,0.0061762505,0.3661954,0.0030845895,0.56629163],"study_design_scores_gemma":[0.0011673102,0.00017770483,0.008785132,0.0000110175715,0.000009363927,0.0000025638747,0.00039206052,0.04647212,0.001133998,0.081001274,0.86047655,0.0003708744],"about_ca_topic_score_codex":0.0011430037,"about_ca_topic_score_gemma":0.010437792,"teacher_disagreement_score":0.857392,"about_ca_system_score_codex":0.000050898543,"about_ca_system_score_gemma":0.000114855866,"threshold_uncertainty_score":0.99957937},"labels":[],"label_agreement":null},{"id":"W4291753535","doi":"10.1190/image2022-3749351.1","title":"Seismic super resolution method for enhancing stratigraphic interpretation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Interpretation (philosophy); Geology; Resolution (logic); Computer science; Seismology; Artificial intelligence; Programming language","score_opus":0.015076960229557977,"score_gpt":0.2540971291499193,"score_spread":0.2390201689203613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06468138,0.00009520125,0.92067385,0.0006857017,0.0014944064,0.00031256722,0.0004048551,0.000156094,0.011495926],"genre_scores_gemma":[0.8753735,0.000008766653,0.11684897,0.003412762,0.00016942543,0.00014850465,0.0010992505,0.0000096215435,0.0029292428],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982246,0.00006734777,0.00037849884,0.00053767505,0.0004251671,0.00036669933],"domain_scores_gemma":[0.9990279,0.00040448073,0.00020828896,0.0001716059,0.00011377163,0.00007397181],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015052242,0.00016484692,0.00016003012,0.0003335802,0.0007740858,0.00011545539,0.0005562351,0.000048897877,0.0012429728],"category_scores_gemma":[0.00013295478,0.00016904986,0.00012528097,0.0002754539,0.000084264924,0.00026994388,0.000045707686,0.00014178714,0.000007817654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011058648,0.00015604377,0.0018671001,0.00012272445,0.00014003721,0.0000010043377,0.0035574841,0.30253258,0.074677326,0.04099406,0.054318935,0.5205268],"study_design_scores_gemma":[0.0002661088,0.000091477246,0.00022404517,0.0000129838745,0.000009402153,0.000011877519,0.00048731398,0.5176943,0.006239061,0.016533067,0.45821252,0.00021784019],"about_ca_topic_score_codex":0.002536089,"about_ca_topic_score_gemma":0.0019940012,"teacher_disagreement_score":0.8106921,"about_ca_system_score_codex":0.00004592637,"about_ca_system_score_gemma":0.00008870406,"threshold_uncertainty_score":0.99967},"labels":[],"label_agreement":null},{"id":"W4291753928","doi":"10.1190/image2022-3751282.1","title":"Time-lapse attenuation variations during CO2 injection using DAS VSP data from the CaMI Field Research Station, Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Attenuation; Geology; Field (mathematics); Remote sensing; Geodesy; Seismology","score_opus":0.044096722364446464,"score_gpt":0.29092149769962294,"score_spread":0.2468247753351765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691839,0.000054361833,0.014759884,0.0033111526,0.0017238028,0.00031421758,0.0023136258,0.0000638522,0.008275189],"genre_scores_gemma":[0.9829803,0.000006412754,0.0035301673,0.0025064168,0.0003205973,0.00002901213,0.0057911426,0.000008273768,0.0048276535],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796927,0.00010872417,0.00029288908,0.0004998471,0.00082145666,0.00030782964],"domain_scores_gemma":[0.9978772,0.0013133292,0.00018058807,0.00039499238,0.00017413076,0.00005977601],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012745189,0.00011242979,0.00009655924,0.00014559814,0.0018827291,0.00015733225,0.0010814356,0.000033678014,0.0037058855],"category_scores_gemma":[0.00049132085,0.00010290395,0.00002493565,0.00040580062,0.00009562115,0.00032994646,0.00019488698,0.00022667927,0.000015858312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005448916,0.00015427086,0.0392197,0.000035281504,0.00021495453,0.0000041459857,0.005010303,0.32895473,0.026806073,0.005864667,0.5485633,0.044627696],"study_design_scores_gemma":[0.00029372127,0.000037516005,0.0054706032,0.000017489814,0.000013369321,0.000013675584,0.0012577595,0.47939697,0.0018086671,0.0037080182,0.5077265,0.00025573792],"about_ca_topic_score_codex":0.9087825,"about_ca_topic_score_gemma":0.77483004,"teacher_disagreement_score":0.15044223,"about_ca_system_score_codex":0.0001305216,"about_ca_system_score_gemma":0.00044819847,"threshold_uncertainty_score":0.9994167},"labels":[],"label_agreement":null},{"id":"W4291753938","doi":"10.1190/image2022-3745367.1","title":"Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microseism; Azimuth; Wireline; Geology; Seismology; Hydraulic fracturing; Engineering; Petroleum engineering; Telecommunications; Physics; Optics; Wireless","score_opus":0.01629811515982319,"score_gpt":0.252509917583683,"score_spread":0.23621180242385983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291753938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98726296,0.00028867208,0.008841264,0.00023046281,0.00022715666,0.0002486269,0.002005758,0.000008826158,0.0008862725],"genre_scores_gemma":[0.99554956,0.000011395219,0.0022656259,0.00027932285,0.000037218684,0.000118985176,0.0013251707,0.000003853884,0.0004088844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987364,0.000056830875,0.00032227937,0.00037780183,0.00027053105,0.00023617076],"domain_scores_gemma":[0.9989626,0.00059545186,0.00018592914,0.00015665546,0.000054862332,0.000044530705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011238761,0.00011839432,0.00020935206,0.00023789798,0.00038677698,0.000058496058,0.00044254996,0.000024523903,0.00028678542],"category_scores_gemma":[0.000055729994,0.000095588046,0.0001254971,0.00057599513,0.00012478056,0.00008617478,0.000042492222,0.00006396874,3.8425506e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041844303,0.00023915138,0.06908022,0.00015938771,0.00095230085,0.0000015702788,0.0022173955,0.6539176,0.19260496,0.06671877,0.0002330004,0.0134571865],"study_design_scores_gemma":[0.0033093484,0.0003644899,0.47373688,0.000098804725,0.0005207445,0.000015250938,0.0066236737,0.32867613,0.00915489,0.08059193,0.09570251,0.0012053628],"about_ca_topic_score_codex":0.0063446457,"about_ca_topic_score_gemma":0.0063919574,"teacher_disagreement_score":0.40465665,"about_ca_system_score_codex":0.000026374932,"about_ca_system_score_gemma":0.000063496234,"threshold_uncertainty_score":0.95912486},"labels":[],"label_agreement":null},{"id":"W4291754046","doi":"10.1190/image2022-3746215.1","title":"Uranium exploration in the Athabasca Basin using low-noise airborne gravity gradient data","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Noise (video); Structural basin; Uranium; Remote sensing; Geodesy; Environmental science; Computer science; Geomorphology; Physics; Artificial intelligence","score_opus":0.028612642825382253,"score_gpt":0.24661314750107052,"score_spread":0.21800050467568827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90266806,0.000015574047,0.091468744,0.0003393384,0.000748103,0.00029732022,0.00012291412,0.000026638914,0.0043132952],"genre_scores_gemma":[0.9742166,0.000011874315,0.022568006,0.0012873564,0.000111765155,0.00020374656,0.00046332463,0.000022363241,0.0011149768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771625,0.0000753643,0.0003508024,0.0007049226,0.00076887035,0.0003838054],"domain_scores_gemma":[0.99908394,0.000098161465,0.0002043111,0.00054011296,0.000008833616,0.00006465974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001211383,0.00018950668,0.00014035482,0.000029300569,0.00059632177,0.00007622553,0.00164686,0.00003764928,0.0009811744],"category_scores_gemma":[0.000062283325,0.00017053404,0.000057564805,0.00037522052,0.00025276543,0.0004791372,0.0011372677,0.00017385514,0.000015952606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016388363,0.0006530171,0.012266149,0.00001301929,0.00001957257,0.0000040732943,0.00229684,0.9438571,0.013335345,0.009777516,0.0025762762,0.015037213],"study_design_scores_gemma":[0.0010604131,0.00007925334,0.02935492,0.000017960738,0.000023517527,0.000034457706,0.0030947689,0.3625464,0.00038889554,0.009198119,0.59345025,0.0007510219],"about_ca_topic_score_codex":0.0032020875,"about_ca_topic_score_gemma":0.003012194,"teacher_disagreement_score":0.59087396,"about_ca_system_score_codex":0.00056330196,"about_ca_system_score_gemma":0.0000212709,"threshold_uncertainty_score":0.99993205},"labels":[],"label_agreement":null},{"id":"W4291754065","doi":"10.1190/image2022-3750747.1","title":"Seismic noise attenuation via learned and analytical basis functions","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Attenuation; Acoustics; Basis (linear algebra); Noise (video); Computer science; Geology; Physics; Mathematics; Optics; Artificial intelligence","score_opus":0.02082636468673655,"score_gpt":0.23817699624426925,"score_spread":0.2173506315575327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6979267,0.00014424074,0.22999972,0.0055315723,0.002162641,0.00031813016,0.0005780268,0.00032520667,0.06301378],"genre_scores_gemma":[0.98075217,0.00001261652,0.004677038,0.0036119088,0.00013261988,0.000034152024,0.00066893693,0.0000065071754,0.010104069],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856573,0.00003893563,0.00024467005,0.00046020473,0.00041600454,0.00027443457],"domain_scores_gemma":[0.99937165,0.00018427175,0.00012730855,0.00014944091,0.00006926919,0.000098076685],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00065517373,0.00013091075,0.0001254947,0.00025542162,0.00074685575,0.00009927601,0.00033387504,0.000037078527,0.0035045398],"category_scores_gemma":[0.000079091486,0.0001312784,0.00006231043,0.0002765464,0.00015296006,0.00018568293,0.000069401,0.00014226706,0.0000364135],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004089011,0.00016110699,0.032162454,0.000035845937,0.00010876596,0.0000021959793,0.0007958869,0.07921321,0.006781767,0.0101889875,0.09167883,0.77846205],"study_design_scores_gemma":[0.00022263621,0.000050744322,0.0026346897,0.0000040305067,0.000010917635,0.000021872838,0.00021873463,0.33511305,0.00035400098,0.0042497846,0.65694207,0.00017743667],"about_ca_topic_score_codex":0.0023319758,"about_ca_topic_score_gemma":0.00027923743,"teacher_disagreement_score":0.7782846,"about_ca_system_score_codex":0.00003317961,"about_ca_system_score_gemma":0.000049462986,"threshold_uncertainty_score":0.99740636},"labels":[],"label_agreement":null},{"id":"W4291754206","doi":"10.1190/image2022-3751186.1","title":"Detection threshold of a shallow CO2 plume with VSP data from the CaMI Field Research Station","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Plume; Field (mathematics); Geodesy; Seismology; Remote sensing; Meteorology","score_opus":0.037928122185788726,"score_gpt":0.2764891910538246,"score_spread":0.23856106886803585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9134178,0.000018419692,0.0765488,0.00030934557,0.00023819224,0.0002120517,0.00017746545,0.000018066836,0.009059835],"genre_scores_gemma":[0.98558336,0.000011622745,0.010810771,0.00045902305,0.000060571965,0.00016140973,0.00029989603,0.00001560438,0.0025977315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797684,0.00004288839,0.0002330513,0.0005275815,0.0009500322,0.0002696193],"domain_scores_gemma":[0.99897516,0.00033118587,0.0001617572,0.00046748467,0.000015594833,0.000048811573],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008961565,0.00011331874,0.00009892169,0.000017358234,0.00057551084,0.00004523911,0.0012953671,0.000035283425,0.0022875827],"category_scores_gemma":[0.00006064592,0.000090759946,0.00002836898,0.00027469214,0.00033871448,0.00019839309,0.0010492824,0.00019883926,0.000011918556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009346815,0.00040039138,0.032250676,0.00001156845,0.00010886856,0.0000021702797,0.0026206193,0.7700836,0.13337655,0.006838292,0.0048383167,0.048534274],"study_design_scores_gemma":[0.0012527639,0.00046381087,0.029180966,0.000024558034,0.000026864012,0.000014922618,0.0044875164,0.31207028,0.004654721,0.012378696,0.63486683,0.000578059],"about_ca_topic_score_codex":0.0061973524,"about_ca_topic_score_gemma":0.01713359,"teacher_disagreement_score":0.6300285,"about_ca_system_score_codex":0.00026251885,"about_ca_system_score_gemma":0.000023714234,"threshold_uncertainty_score":0.99862444},"labels":[],"label_agreement":null},{"id":"W4291754274","doi":"10.1190/image2022-3751162.1","title":"Seismic monitoring using compact phased arrays: CO2 sequestration monitoring","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carbon Management Canada","funders":"","keywords":"Vetting; Computer science; Remote sensing; Geology; Computer security","score_opus":0.04382917707276741,"score_gpt":0.2741149465654665,"score_spread":0.23028576949269908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96990037,0.00010871524,0.021320384,0.00012366603,0.0023043933,0.00010992382,0.0002872105,0.00006717118,0.0057781697],"genre_scores_gemma":[0.9903552,0.00001442446,0.0069288774,0.00015099754,0.0008383111,0.000010761752,0.00041057437,0.000010622986,0.0012802099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978873,0.00004639053,0.00040750942,0.00053508324,0.00067494216,0.00044875967],"domain_scores_gemma":[0.9991241,0.00017804364,0.00029201648,0.00019270304,0.0000828848,0.00013026067],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006369403,0.00020867861,0.00021188204,0.00026358807,0.0010147726,0.00023111397,0.0005966806,0.000043498432,0.0011073253],"category_scores_gemma":[0.000042998014,0.00021701909,0.0001304576,0.00041142228,0.00008120933,0.00030415508,0.000031793505,0.00017001355,0.0000113086435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056505214,0.000035166362,0.026098518,0.000009349341,0.000051758347,0.0000012024221,0.00022783666,0.9180469,0.049645815,0.00044597848,0.00009767219,0.005283325],"study_design_scores_gemma":[0.0013073059,0.00015733956,0.021262452,0.00007610181,0.00008454155,0.00005289445,0.003149909,0.68248594,0.016764436,0.007248011,0.26623568,0.0011753916],"about_ca_topic_score_codex":0.0042817025,"about_ca_topic_score_gemma":0.00019035547,"teacher_disagreement_score":0.266138,"about_ca_system_score_codex":0.00009445561,"about_ca_system_score_gemma":0.000104410254,"threshold_uncertainty_score":0.9998058},"labels":[],"label_agreement":null},{"id":"W4291754385","doi":"10.1190/image2022-3749361.1","title":"Stress rotations and compounding pore-pressures from multiple well injections","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Compounding; Stress (linguistics); Materials science; Computer science; Composite material","score_opus":0.009959168954946149,"score_gpt":0.21953995512465357,"score_spread":0.20958078616970743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8476391,0.00032718276,0.11905088,0.00023877202,0.0018187104,0.0001807424,0.0009644525,0.00032433693,0.029455839],"genre_scores_gemma":[0.99137396,0.000019323817,0.00500827,0.00010684321,0.00019677171,0.00023187234,0.0006856872,0.000024094477,0.0023531858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.998813,0.00002035184,0.00026134457,0.00033708263,0.00031923657,0.00024902663],"domain_scores_gemma":[0.9993008,0.00031446604,0.00007856954,0.00017565014,0.000046427613,0.000084118474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020045192,0.00014787645,0.00015273559,0.00024465667,0.00069624,0.00012668903,0.00037953205,0.000039025876,0.0005538005],"category_scores_gemma":[0.00006148514,0.00015857418,0.00007248431,0.00021507118,0.00007185745,0.00011816057,0.00015556508,0.00016449936,0.0000043799578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000116024385,0.00003490316,0.0006652527,0.000012334497,0.000098308396,5.864129e-7,0.0005474705,0.98311645,0.011636883,0.0010306723,0.0014263854,0.0014191265],"study_design_scores_gemma":[0.000481352,0.000013683861,0.0011421854,0.000018102859,0.000033048313,0.0000068624704,0.0008675088,0.3112832,0.005330456,0.0023137126,0.6781697,0.000340163],"about_ca_topic_score_codex":0.001348496,"about_ca_topic_score_gemma":0.0032914365,"teacher_disagreement_score":0.6767433,"about_ca_system_score_codex":0.00009608242,"about_ca_system_score_gemma":0.00001789074,"threshold_uncertainty_score":0.64664674},"labels":[],"label_agreement":null},{"id":"W4291754387","doi":"10.1190/image2022-3751727.1","title":"Analysis of rank-reduction methods for filtering and interpolation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpolation (computer graphics); Reduction (mathematics); Rank (graph theory); Computer science; Algorithm; Mathematics; Artificial intelligence; Combinatorics; Geometry; Image (mathematics)","score_opus":0.028470923770582548,"score_gpt":0.3325447515772676,"score_spread":0.30407382780668507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754387","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015401662,0.00006483409,0.98134464,0.00013818806,0.0009637323,0.00014227263,0.000039691397,0.00004015771,0.0018648104],"genre_scores_gemma":[0.24055761,0.0000037111515,0.7577861,0.00017645666,0.0000658616,0.00020281608,0.0000748174,0.000008609187,0.0011240125],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984717,0.000105281695,0.00040047496,0.00053067383,0.0002700638,0.0002218318],"domain_scores_gemma":[0.99867386,0.00052450225,0.00031528788,0.00025319483,0.00018431834,0.00004886001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023988283,0.00012638312,0.00024345824,0.00067232194,0.0003759809,0.00014393342,0.0007265864,0.00003235966,0.00009637908],"category_scores_gemma":[0.0002078327,0.00013540246,0.00015238822,0.0007803172,0.00007292596,0.00032927492,0.00035686803,0.00007230832,2.1161118e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011435009,0.00004634926,0.000021838161,0.000018840745,0.00019087107,8.5618325e-8,0.0012624313,0.00951853,0.66084784,0.09198541,0.00015550868,0.23583797],"study_design_scores_gemma":[0.0007935562,0.000103234124,0.00023168084,0.000011194865,0.000114330396,0.000015236318,0.00019068609,0.8101491,0.047471907,0.03010135,0.11050317,0.00031459233],"about_ca_topic_score_codex":0.00008549688,"about_ca_topic_score_gemma":0.00002923487,"teacher_disagreement_score":0.8006305,"about_ca_system_score_codex":0.00007038283,"about_ca_system_score_gemma":0.00004146343,"threshold_uncertainty_score":0.5521552},"labels":[],"label_agreement":null},{"id":"W4291754397","doi":"10.1190/image2022-3745905.1","title":"The development of novel density sensors using GEANT4: A particle physics simulation toolkit","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Development (topology); Particle (ecology); Physics","score_opus":0.044172191198057056,"score_gpt":0.28441692213647723,"score_spread":0.2402447309384202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87267095,0.0000036274396,0.12575339,0.000014870497,0.0003007107,0.00009096023,0.000029507704,0.000012455467,0.0011235223],"genre_scores_gemma":[0.9865993,1.6140591e-7,0.012413137,0.000031608688,0.00011790203,0.00006951439,0.000043364522,0.000009521547,0.00071544864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988169,0.000013196988,0.00033677262,0.00022385205,0.00035095777,0.00025830176],"domain_scores_gemma":[0.99931884,0.00016881549,0.00024020758,0.00012808842,0.000105223786,0.000038847375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996271,0.00010704316,0.00010196301,0.000029267698,0.00091405876,0.000052654694,0.00029388678,0.000011649721,0.0001436821],"category_scores_gemma":[0.000014621904,0.00009706806,0.00005239607,0.00019324145,0.00006497326,0.000111516136,0.00017046032,0.00006808165,0.0000026292655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001486201,0.000205298,0.010539914,0.0000092020655,0.000090715526,5.122286e-8,0.002589691,0.58309513,0.31838438,0.047132466,0.000036992056,0.03776755],"study_design_scores_gemma":[0.00083032245,0.000015588934,0.0027431557,0.000010674418,0.00001052984,7.583765e-7,0.00062620617,0.6996496,0.20502272,0.0018700741,0.08889931,0.00032109916],"about_ca_topic_score_codex":0.000042227457,"about_ca_topic_score_gemma":0.00005658153,"teacher_disagreement_score":0.11655445,"about_ca_system_score_codex":0.00007813416,"about_ca_system_score_gemma":0.000112701164,"threshold_uncertainty_score":0.70302933},"labels":[],"label_agreement":null},{"id":"W4291754626","doi":"10.1190/image2022-3738967.1","title":"Examples of fault steps controlling event migration in seismic swarms","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fault (geology); Event (particle physics); Seismology; Computer science; Geology; Physics","score_opus":0.01964705503918492,"score_gpt":0.23485169148920174,"score_spread":0.2152046364500168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98535436,0.00036581224,0.00510892,0.00021738997,0.0006766562,0.00017046365,0.0002958591,0.000022141592,0.007788401],"genre_scores_gemma":[0.99606913,0.00004165975,0.0019205994,0.00033552584,0.00007998434,0.00004869004,0.00028686778,0.000004269779,0.0012132671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984293,0.000040078845,0.00042379292,0.00035411984,0.00046221315,0.00029049005],"domain_scores_gemma":[0.99915516,0.00037837075,0.000239781,0.00012170291,0.00006263334,0.000042375428],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079962105,0.00012774691,0.00019989158,0.00021817263,0.0002843785,0.000034914043,0.0003881933,0.000029531115,0.0012497416],"category_scores_gemma":[0.0000965575,0.00012077863,0.00007786734,0.00026268302,0.000086526125,0.000107926324,0.000049954924,0.00010502536,0.00000703476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003556134,0.0001323491,0.06165749,0.000038829166,0.00008226926,0.000001959639,0.0024616844,0.7941531,0.0074243285,0.010995762,0.00072239636,0.121974245],"study_design_scores_gemma":[0.0028826385,0.0003615439,0.103106484,0.00006285393,0.000025379488,0.000021594173,0.0037584808,0.17791781,0.004531555,0.018755542,0.6878044,0.00077171484],"about_ca_topic_score_codex":0.0052025043,"about_ca_topic_score_gemma":0.04677973,"teacher_disagreement_score":0.687082,"about_ca_system_score_codex":0.000024809206,"about_ca_system_score_gemma":0.000055777728,"threshold_uncertainty_score":0.99966323},"labels":[],"label_agreement":null},{"id":"W4291754692","doi":"10.1190/image2022-3746014.1","title":"Combined elastic FWI of accelerometer and DAS VSP data from a CO2 sequestration test site in Newell County, Alberta","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Accelerometer; Geology; Test site; Seismology; Computer science; Operating system","score_opus":0.02877262521489866,"score_gpt":0.25314316482680854,"score_spread":0.2243705396119099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98257715,0.000064432366,0.0025674205,0.00044215095,0.0004871036,0.00016772655,0.0023129785,0.000037192483,0.011343871],"genre_scores_gemma":[0.9884569,0.000019551144,0.0047083595,0.0013268034,0.000048403082,0.000013463597,0.004208459,0.000005351559,0.0012126983],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854666,0.000033056553,0.00034291472,0.00048838934,0.00037283637,0.00021612707],"domain_scores_gemma":[0.99862856,0.0007900645,0.00020941673,0.00026695113,0.00004679318,0.000058205438],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005697881,0.0001297067,0.00016480763,0.00020282916,0.00018204233,0.00008635608,0.00073762675,0.000037189497,0.001775442],"category_scores_gemma":[0.0002023658,0.00012981582,0.000023979625,0.00022593299,0.00012372549,0.0003729058,0.00017661945,0.00011827067,0.000008517658],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014805526,0.0009038609,0.6763365,0.00017674064,0.00017264945,0.000010527526,0.0040276,0.02326806,0.12039514,0.017203402,0.06694754,0.0890774],"study_design_scores_gemma":[0.0015573718,0.0003156944,0.04586342,0.00006985025,0.000026952306,0.000014727491,0.00045891636,0.47192076,0.0049042203,0.0150040975,0.45924586,0.0006181494],"about_ca_topic_score_codex":0.035307232,"about_ca_topic_score_gemma":0.0104909185,"teacher_disagreement_score":0.6304731,"about_ca_system_score_codex":0.000021237936,"about_ca_system_score_gemma":0.00006902609,"threshold_uncertainty_score":0.99913704},"labels":[],"label_agreement":null},{"id":"W4291754838","doi":"10.1190/image2022-3744978.1","title":"Large-scale Marchenko imaging with distance-aware matrix reordering, tile low-rank compression, and mixed-precision computations","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Algorithm; Memory footprint; Computation; Rank (graph theory); Matrix (chemical analysis); Kernel (algebra); Deconvolution; Matrix multiplication; Parallel computing; Data compression; Computational science; Mathematics","score_opus":0.007860837005483049,"score_gpt":0.23267414207654813,"score_spread":0.2248133050710651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44176573,0.00042323596,0.5359986,0.0014795563,0.0013688478,0.00041200005,0.0014987699,0.0003432057,0.016710075],"genre_scores_gemma":[0.9681315,0.000020900936,0.026927955,0.0011562388,0.00007992348,0.000043274787,0.001026689,0.000011736448,0.0026018072],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820995,0.00004637149,0.00028752102,0.0005525164,0.0005353587,0.0003682531],"domain_scores_gemma":[0.9991668,0.00023665841,0.00018823185,0.00019183243,0.00010477137,0.00011171369],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000578319,0.00017759671,0.00016799523,0.00020993548,0.0010696726,0.00015677638,0.00051093695,0.000026893296,0.0014070396],"category_scores_gemma":[0.000030334977,0.0001596067,0.000047801946,0.00025685987,0.00018352448,0.00023721647,0.00014513751,0.0001683794,0.000008120818],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016708643,0.00059744035,0.09011394,0.00031407783,0.00014480979,0.000021565113,0.0072716027,0.190711,0.0073999693,0.023246987,0.17084336,0.5076644],"study_design_scores_gemma":[0.0005475053,0.000045795066,0.0021798378,0.000055324515,0.000007491967,0.000036372294,0.0012579852,0.25673306,0.00069366576,0.00449871,0.73364973,0.00029453705],"about_ca_topic_score_codex":0.0007347348,"about_ca_topic_score_gemma":0.0008561886,"teacher_disagreement_score":0.56280637,"about_ca_system_score_codex":0.000030740353,"about_ca_system_score_gemma":0.000057752397,"threshold_uncertainty_score":0.9995058},"labels":[],"label_agreement":null},{"id":"W4291754869","doi":"10.1190/image2022-3739311.1","title":"3D inversion of QMAGT airborne magnetic gradiometry data for susceptibility and magnetization vector models of the Thompson Nickel Belt in Manitoba, Canada","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vale (Canada)","funders":"","keywords":"Magnetization; Nickel; Inversion (geology); Geology; Geophysics; Remote sensing; Geodesy; Materials science; Seismology; Physics; Magnetic field; Metallurgy","score_opus":0.02982781700567581,"score_gpt":0.2285973830564973,"score_spread":0.1987695660508215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99202657,0.00019228822,0.0039981157,0.00033791605,0.0005708,0.00032429062,0.0015601092,0.000006246297,0.0009836827],"genre_scores_gemma":[0.9897447,0.000008834279,0.009049035,0.00018899216,0.000046067064,0.000016883761,0.0005349794,0.0000035946753,0.00040687027],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985237,0.000074915544,0.0003353299,0.00042468056,0.00040880314,0.00023254596],"domain_scores_gemma":[0.9988626,0.0005222407,0.00019987975,0.00028119946,0.000078924706,0.000055127533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071797305,0.00010889463,0.00018049905,0.00011422446,0.00018430692,0.000016447457,0.00080806337,0.000031003598,0.00025814804],"category_scores_gemma":[0.00023641845,0.00008886616,0.00003630525,0.00057020196,0.00012739166,0.00011661029,0.00017423737,0.00009460576,1.6276479e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008530441,0.0003554212,0.030580478,0.0003646809,0.00004249469,4.804097e-7,0.00043159706,0.14742848,0.02396259,0.020359574,0.0020225202,0.7735986],"study_design_scores_gemma":[0.001041386,0.00037718177,0.19064078,0.000026478336,0.000026886359,0.0000037463014,0.00035625458,0.7366698,0.002132589,0.04139594,0.026973026,0.00035595588],"about_ca_topic_score_codex":0.21006031,"about_ca_topic_score_gemma":0.64947075,"teacher_disagreement_score":0.7732427,"about_ca_system_score_codex":0.000033909135,"about_ca_system_score_gemma":0.00016250831,"threshold_uncertainty_score":0.79519993},"labels":[],"label_agreement":null},{"id":"W4291754956","doi":"10.1190/image2022-3749919.1","title":"Numerical modeling of low-frequency distributed acoustic sensing signals for mixed-mode fracture activation","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Workflow; Computer science; Acoustic emission; Mode (computer interface); Slip (aerodynamics); Discontinuity (linguistics); Shear (geology); Acoustics; Seismology; Geology; Database; Engineering; Physics; Petrology; Aerospace engineering","score_opus":0.013646897928284604,"score_gpt":0.23923646188726647,"score_spread":0.22558956395898186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27175742,0.00002842968,0.72537726,0.00028722393,0.0003826948,0.00013549857,0.0012092082,0.000026075268,0.0007961867],"genre_scores_gemma":[0.9830127,0.0000040275763,0.012267564,0.00067572395,0.00019079821,0.000015831156,0.0035899263,0.000008316296,0.00023511905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822617,0.00003125756,0.00043895023,0.00045591447,0.00050736754,0.0003403736],"domain_scores_gemma":[0.9988669,0.00041174228,0.0003187115,0.00015490458,0.00016545762,0.00008224851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047231116,0.00016525888,0.00023519814,0.00017647806,0.00050786836,0.00006741553,0.00042044924,0.000053959688,0.0007598721],"category_scores_gemma":[0.00018921091,0.00015807962,0.00015719784,0.00034196212,0.000057405974,0.00016288078,0.000032102584,0.000117780524,0.0000020107984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006272865,0.000023297061,0.00012190445,0.000017890135,0.000032775086,1.7187476e-7,0.0000831238,0.98098147,0.01413475,0.0006687473,0.00025545666,0.0036176865],"study_design_scores_gemma":[0.00026645875,0.000042422034,0.00014308415,0.000017888386,0.000020226445,0.0000034716925,0.00033805016,0.9700109,0.001990908,0.015789134,0.01116983,0.00020765052],"about_ca_topic_score_codex":0.0022294396,"about_ca_topic_score_gemma":0.0004900946,"teacher_disagreement_score":0.7131097,"about_ca_system_score_codex":0.00004081873,"about_ca_system_score_gemma":0.00009008417,"threshold_uncertainty_score":0.8320067},"labels":[],"label_agreement":null},{"id":"W4291754996","doi":"10.1190/image2022-3751251.1","title":"Clay composition and diagenesis in organic-rich shale: A case study of Duvernay Formation, West Canadian Sedimentary Basin","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Diagenesis; Geology; Oil shale; Structural basin; Geochemistry; Sedimentary rock; Sedimentary basin; Composition (language); Petrology; Geomorphology; Paleontology","score_opus":0.011383934974385513,"score_gpt":0.21937003697801513,"score_spread":0.20798610200362963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291754996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566376,0.000039237868,0.0020153704,0.00012093674,0.0002604933,0.000189269,0.000113048,0.000030168036,0.0015677423],"genre_scores_gemma":[0.99863666,0.000011931015,0.00041785138,0.00022143094,0.000036284524,0.00021939198,0.00022480296,0.000016311162,0.00021533226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887544,0.00003762313,0.00037102506,0.00022804296,0.00028849693,0.000199383],"domain_scores_gemma":[0.99956983,0.00006549025,0.00008369823,0.00012738109,0.000057204918,0.000096392454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037450294,0.00012159498,0.0001596924,0.0005048102,0.00026370375,0.000044605855,0.00022046067,0.000030067673,0.00060395437],"category_scores_gemma":[0.00001285493,0.000135809,0.00003029714,0.0005004388,0.000028274415,0.0001911371,0.00007287311,0.00008751151,0.0000016200621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011103692,0.0009540751,0.02183121,0.00017002101,0.00042351495,0.00012876026,0.038590394,0.7768264,0.14549662,0.0025444273,0.0030683873,0.009855194],"study_design_scores_gemma":[0.0060737194,0.0004139154,0.006890436,0.00007220398,0.00018830202,0.0006036761,0.0735675,0.7311032,0.025457188,0.00080884004,0.15278462,0.0020364076],"about_ca_topic_score_codex":0.046268143,"about_ca_topic_score_gemma":0.29033193,"teacher_disagreement_score":0.24406378,"about_ca_system_score_codex":0.00030451952,"about_ca_system_score_gemma":0.000044521286,"threshold_uncertainty_score":0.9600828},"labels":[],"label_agreement":null},{"id":"W4291755136","doi":"10.1190/image2022-3751543.1","title":"Estimation of helical fiber pitch angle and trace spacing from colocated DAS, accelerometer, and geophone datasets","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carbon Management Canada; University of Calgary","funders":"","keywords":"Geophone; Accelerometer; TRACE (psycholinguistics); Acoustics; Fiber; Computer science; Geology; Geodesy; Physics; Materials science","score_opus":0.015287950682339613,"score_gpt":0.23953753325989327,"score_spread":0.22424958257755365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291755136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928315,0.00023347662,0.0025272444,0.0001628467,0.0001786785,0.000075876764,0.0031365901,0.000014891072,0.000838889],"genre_scores_gemma":[0.9859696,0.000026831605,0.00888428,0.00025088695,0.000052631072,0.000009492686,0.0042056786,0.0000041469575,0.0005964676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879223,0.000026264666,0.00026888424,0.0004011777,0.00031825443,0.00019321046],"domain_scores_gemma":[0.9993166,0.00027274634,0.00017716076,0.00012520558,0.000027727054,0.00008058043],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003674371,0.000114028815,0.00017399658,0.00013932884,0.00029213363,0.00008116283,0.000254415,0.000032850134,0.0023143522],"category_scores_gemma":[0.000059319722,0.00010948667,0.000032986023,0.00023719616,0.00011516187,0.00016628053,0.00008408036,0.000075956996,0.0000047342555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068705494,0.0003008764,0.012908198,0.000107151405,0.00037376906,0.000006162754,0.0019003489,0.24537824,0.06474089,0.003388608,0.006943886,0.6632648],"study_design_scores_gemma":[0.0015645638,0.00021422755,0.051143266,0.000040325696,0.00008542619,0.000035434077,0.0010484203,0.6453687,0.004908866,0.0107856365,0.28412563,0.00067952607],"about_ca_topic_score_codex":0.0067032757,"about_ca_topic_score_gemma":0.0016863106,"teacher_disagreement_score":0.66258526,"about_ca_system_score_codex":0.000010405832,"about_ca_system_score_gemma":0.000025686279,"threshold_uncertainty_score":0.9999112},"labels":[],"label_agreement":null},{"id":"W4291755193","doi":"10.1190/image2022-3745992.1","title":"Paleoecologic and paleoceanographic reassessment of intrashelf basin formation:Iichnology, depositional environment, and sequence stratigraphy of the Upper Albian Maverick Basin, south Texas","year":2022,"lang":"en","type":"article","venue":"Second International Meeting for Applied Geoscience &amp; Energy","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sedimentary depositional environment; Geology; Structural basin; Sequence stratigraphy; Sequence (biology); Paleontology; Stratigraphy","score_opus":0.013220415558398346,"score_gpt":0.2097635274453915,"score_spread":0.19654311188699317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291755193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9080873,0.00010520277,0.080837004,0.0024492012,0.00027016882,0.00029056138,0.0001751205,0.00003619578,0.0077492506],"genre_scores_gemma":[0.97400874,0.000023667058,0.025176724,0.00039965785,0.00001691302,0.00008757416,0.000038842736,0.0000026385442,0.00024527125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984434,0.000065064494,0.0003993587,0.0004543956,0.00039439788,0.00024334618],"domain_scores_gemma":[0.99896014,0.00017713534,0.00044419,0.0002886124,0.00007756759,0.000052363153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059182936,0.00015533362,0.00017617294,0.00015263003,0.00038284977,0.000051499515,0.0008629063,0.00005967784,0.00011700233],"category_scores_gemma":[0.00006218642,0.00013397433,0.00007723191,0.00031008405,0.0005035794,0.00018679768,0.00057056965,0.00013804335,3.0425906e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006108666,0.00027384222,0.15181564,0.00017424405,0.00011323702,0.0000016720709,0.0015190681,0.0022544668,0.077800125,0.75484097,0.0003187961,0.010826854],"study_design_scores_gemma":[0.0026051702,0.000606193,0.45136812,0.0001478099,0.0000780393,0.00047253584,0.0024405855,0.028237998,0.05330528,0.31835914,0.14096509,0.0014140258],"about_ca_topic_score_codex":0.00002870597,"about_ca_topic_score_gemma":0.000051241466,"teacher_disagreement_score":0.43648183,"about_ca_system_score_codex":0.00003061118,"about_ca_system_score_gemma":0.00005319544,"threshold_uncertainty_score":0.5463315},"labels":[],"label_agreement":null}]}