{"meta":{"query_hash":"900cde93e4d6","filters":{"venue":"Interpretation"},"cohort_total":183,"direct_labels_cover":0,"predictions_cover":183,"exported":183,"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/900cde93e4d6","api":"https://metacan.xera.ac/api/v1/cohort?venue=Interpretation"},"results":[{"id":"W1934512131","doi":"10.1190/int-2014-0228.1","title":"Geochemistry and depositional history of the Union Springs Member, Marcellus Formation in central Pennsylvania","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Shell Canada; ConocoPhillips","keywords":"Sedimentary depositional environment; Geology; Source rock; Geochemistry; Foreland basin; Deposition (geology); Structural basin; Total organic carbon; Organic matter; Earth science; Paleontology; Environmental chemistry; Chemistry","score_opus":0.010163478885715678,"score_gpt":0.19557926830871458,"score_spread":0.1854157894229989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1934512131","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":[0.97593796,0.00044019727,0.01499483,0.00010397765,0.0002201754,0.00006826064,0.0000019151787,0.000030609037,0.008202064],"genre_scores_gemma":[0.9997132,0.000019798097,0.000096545235,0.000018470111,0.000012403317,0.0000051623097,0.000017581431,0.0000051258144,0.00011170519],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957734,0.000027845543,0.0001606322,0.000052721836,0.0001174081,0.00006403112],"domain_scores_gemma":[0.9998219,0.000010454131,0.000035628666,0.00006784203,0.000031984324,0.000032205815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000794377,0.000051199695,0.00006243698,0.000050926807,0.0000066234597,0.000006671483,0.00005101658,0.00003710385,0.000015682768],"category_scores_gemma":[0.00002178884,0.00004380977,0.000026145,0.00006869976,0.000022421316,0.00018572606,0.000014357294,0.000065933855,0.000002009163],"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":[0.00013190017,0.00010838151,0.011466741,0.00060660776,0.00011241659,0.000008296679,0.049319383,0.5342107,0.38701242,0.00050163874,0.006010142,0.010511374],"study_design_scores_gemma":[0.0002312739,0.000006611325,0.0033987674,0.000050186594,0.000011399051,0.0000054499824,0.00026502344,0.97674143,0.018547226,0.00021149666,0.00046969228,0.00006144789],"about_ca_topic_score_codex":0.000057409252,"about_ca_topic_score_gemma":0.0001567359,"teacher_disagreement_score":0.44253075,"about_ca_system_score_codex":0.00029724243,"about_ca_system_score_gemma":0.000018885317,"threshold_uncertainty_score":0.17865105},"labels":[],"label_agreement":null},{"id":"W1956144691","doi":"10.1190/int-2015-0126.1","title":"Evaluating the quality of bed length and area balance in 2D structural restorations","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":15,"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; Thrust; Slip (aerodynamics); Computer science; Geotechnical engineering; Engineering; Mechanical engineering","score_opus":0.12066213222231696,"score_gpt":0.3710058424890984,"score_spread":0.2503437102667814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956144691","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":[0.9973518,0.00026958025,0.00032400372,0.00027457974,0.000059247515,0.00007154316,0.000012197713,0.0000060303564,0.0016309661],"genre_scores_gemma":[0.9991147,0.000003725823,0.0007755417,0.000051681658,0.000006995546,0.0000011456949,0.000034174067,3.5012948e-7,0.00001166681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994896,0.00010890632,0.00017865322,0.00005851294,0.00011255105,0.00005176309],"domain_scores_gemma":[0.9995617,0.00021554642,0.00007965811,0.000052742194,0.00007132094,0.000019010811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005358086,0.000033554476,0.000058414702,0.000023114508,0.00003955549,0.000021514445,0.00005613532,0.000018604518,0.000076990866],"category_scores_gemma":[0.00056307344,0.000020010175,0.000007955143,0.00010174209,0.00004586447,0.00022018542,0.0000043390623,0.00004814357,0.0000047185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076463446,0.0000028413538,0.9259466,0.000016058493,0.0000030969657,1.0890681e-7,0.00557989,0.025259081,0.00004444849,0.0004698459,0.000020514475,0.04258106],"study_design_scores_gemma":[0.000093115275,0.00008803475,0.6495975,0.000009352137,0.0000018584398,0.0000010900914,0.00072196394,0.34064922,0.00002141786,0.0087796375,0.000010245173,0.000026581543],"about_ca_topic_score_codex":0.0010012655,"about_ca_topic_score_gemma":0.0026458858,"teacher_disagreement_score":0.3153901,"about_ca_system_score_codex":0.000002088991,"about_ca_system_score_gemma":0.00002365672,"threshold_uncertainty_score":0.15136205},"labels":[],"label_agreement":null},{"id":"W1964431902","doi":"10.1190/int-2014-0199.1","title":"Estimating subsurface uncertainties by combining seismic interpretation with earth modeling","year":2015,"lang":"en","type":"article","venue":"Interpretation","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":"Alberta Energy; BP (Canada)","funders":"","keywords":"Geology; Earth model; Interpretation (philosophy); Seismic to simulation; Earth (classical element); Stratigraphy; Geophysics; Computer science; Seismology; Seismic inversion; Tectonics","score_opus":0.016732690109793287,"score_gpt":0.23227003088201179,"score_spread":0.2155373407722185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964431902","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":[0.44469374,0.00018052351,0.5503858,0.00022482596,0.00025359582,0.00010110172,0.000009143289,0.00021749234,0.003933839],"genre_scores_gemma":[0.97510165,0.0000034954478,0.023563856,0.00093338557,0.000024645466,0.0000023930406,0.00018983975,0.000007982185,0.00017275302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989173,0.00009173532,0.00024041676,0.0002510199,0.00028963847,0.00020988716],"domain_scores_gemma":[0.9994289,0.00007669307,0.00011860298,0.00013369534,0.00014366982,0.00009840682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003655499,0.00015199829,0.00015095033,0.00010145583,0.000103417864,0.00014568286,0.00015507596,0.000050305967,0.000062903615],"category_scores_gemma":[0.0000960829,0.00012708461,0.000030611205,0.00015700301,0.000063821,0.00071956415,0.000009307243,0.00016238762,0.000089514],"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":[0.00018511874,0.000008297531,0.0067924825,0.000016182046,0.00001843055,0.000002551083,0.0053221965,0.9063549,0.000059142243,0.000009399367,0.002744271,0.078487],"study_design_scores_gemma":[0.00024291483,0.00022196081,0.000054145974,0.0001637827,0.000014733157,0.000014124448,0.0018694556,0.99510753,0.0008101179,0.0010446325,0.0002803372,0.00017626034],"about_ca_topic_score_codex":0.004054296,"about_ca_topic_score_gemma":0.00005656726,"teacher_disagreement_score":0.5304079,"about_ca_system_score_codex":0.000016145517,"about_ca_system_score_gemma":0.00006069859,"threshold_uncertainty_score":0.61289096},"labels":[],"label_agreement":null},{"id":"W1967332732","doi":"10.1190/int-2013-0122.1","title":"Prestack seismic amplitude analysis: An integrated overview","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Seismic inversion; Amplitude versus offset; Synthetic seismogram; Amplitude; Geology; Electrical impedance; Reflection coefficient; Seismology; Vertical seismic profile; Inversion (geology); Isotropy; Anelastic attenuation factor; Acoustics; Acoustic impedance; Reflection (computer programming); Seismic wave; Geometry; Computer science; Optics; Physics; Mathematics","score_opus":0.016048868091257454,"score_gpt":0.258561492208652,"score_spread":0.24251262411739455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967332732","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":[0.3394713,0.0002995304,0.64950854,0.0003737394,0.00028863465,0.00015289953,0.00003498461,0.00046833954,0.00940203],"genre_scores_gemma":[0.99272513,0.000025773672,0.0033910703,0.0030935747,0.000030259927,0.0000013539768,0.00056307175,0.0000028625832,0.00016689305],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991007,0.00018367289,0.0001901938,0.00023044077,0.0001508596,0.0001441558],"domain_scores_gemma":[0.99949324,0.00007104839,0.00007843743,0.00022431382,0.00006018272,0.00007280581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033555267,0.000102384554,0.00015043336,0.00019823477,0.000060730523,0.00010041122,0.00019224852,0.000046317506,0.00084916607],"category_scores_gemma":[0.000060582584,0.00008389603,0.00007888004,0.0003742331,0.000040107043,0.0004073167,0.0000052167306,0.00009834812,0.00027962285],"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":[0.00006249262,0.00002752088,0.073132664,0.000023849947,0.0001505853,0.0000016296361,0.0011985071,0.026752941,0.000048825987,0.0001739479,0.0039445604,0.8944825],"study_design_scores_gemma":[0.000060624978,0.00010592617,0.037795532,0.000023846622,0.00009111173,0.0000018564212,0.00010063168,0.9354592,0.00021109331,0.0014070002,0.02463197,0.000111210946],"about_ca_topic_score_codex":0.0048379498,"about_ca_topic_score_gemma":0.0002883585,"teacher_disagreement_score":0.90870625,"about_ca_system_score_codex":0.0000063277193,"about_ca_system_score_gemma":0.000015514986,"threshold_uncertainty_score":0.9297773},"labels":[],"label_agreement":null},{"id":"W1968577610","doi":"10.1190/int-2014-0093.1","title":"Surface geochemical measurements applied to monitoring, verification, and accounting of leakage from sequestration projects","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":6,"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":"Soil gas; Dome (geology); Methane; Flux (metallurgy); Soil water; Hydrology (agriculture); Geology; Soil science; Environmental science; Atmospheric sciences; Geomorphology; Geotechnical engineering; Chemistry","score_opus":0.04513405835924758,"score_gpt":0.2686666517938241,"score_spread":0.22353259343457652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968577610","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":[0.9922034,0.000029422074,0.002592919,0.000035876506,0.000104953164,0.0002019218,0.0000020192456,0.000018168777,0.0048113186],"genre_scores_gemma":[0.99503374,0.00000218721,0.004860028,0.00002003371,0.000022107302,0.000009246609,0.000015396497,0.0000065510467,0.00003070027],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929774,0.000027279508,0.00017694707,0.00018463965,0.00023105809,0.00008236412],"domain_scores_gemma":[0.9997001,0.000018412073,0.000091900976,0.00010267097,0.000025068099,0.000061810315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024312235,0.00006876659,0.00007830574,0.000015121563,0.000021524618,0.0000224495,0.00006923268,0.0000479209,0.00003225264],"category_scores_gemma":[0.000058454032,0.00006412542,0.000009268863,0.00010006861,0.00002774689,0.00014285179,0.000038396298,0.00005396577,0.000060407678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060145696,0.000024489089,0.081089824,0.0000058255673,0.000011302664,1.5263691e-7,0.0067599313,0.006256234,0.9024348,0.000012436524,0.00008401008,0.0032608025],"study_design_scores_gemma":[0.00052324845,0.00010000507,0.07484171,0.00008052628,0.000036176312,7.6627657e-7,0.0010274103,0.011438568,0.9102723,0.0012806419,0.00016814953,0.00023052066],"about_ca_topic_score_codex":0.00037842797,"about_ca_topic_score_gemma":0.0000071704144,"teacher_disagreement_score":0.007837435,"about_ca_system_score_codex":0.000083450876,"about_ca_system_score_gemma":0.0000094132565,"threshold_uncertainty_score":0.26149586},"labels":[],"label_agreement":null},{"id":"W1971932741","doi":"10.1190/int-2014-0142.1","title":"Geology, resource potentials, and properties of emerging and potential China shale gas and shale oil plays","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"PetroChina Company Limited","keywords":"Oil shale; Geology; Sedimentary depositional environment; Permian; Paleozoic; Geochemistry; Paleontology; Carboniferous; Unconventional oil; Tight oil; Maturity (psychological); Mining engineering; Structural basin","score_opus":0.009877369785352627,"score_gpt":0.20448109494486152,"score_spread":0.1946037251595089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971932741","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":[0.99117947,0.0022168958,0.0051661152,0.0002071409,0.000047383346,0.000036658985,0.0000020331975,0.000051594623,0.0010927378],"genre_scores_gemma":[0.99945986,0.00021549726,0.00013199862,0.000016228896,0.000027004187,0.0000060456764,0.000009386676,0.0000118934795,0.000122055586],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994706,0.000036408306,0.00018163247,0.00012266962,0.00009726453,0.00009145239],"domain_scores_gemma":[0.99978435,0.000006344786,0.00003633747,0.000073672716,0.000033465956,0.000065822394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012617899,0.00008793181,0.00014400654,0.00011438497,0.00003331326,0.000033594966,0.000038462036,0.000054001954,0.00000677157],"category_scores_gemma":[0.000038615217,0.000077246164,0.000020230375,0.00006494376,0.000075397074,0.00017987791,0.000039211114,0.0000675428,0.0000015063777],"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":[0.00062871806,0.00012624018,0.012202631,0.0016493804,0.0010058671,0.00004382802,0.12615521,0.33183822,0.3969751,0.0003738646,0.0011579676,0.12784298],"study_design_scores_gemma":[0.00035907104,0.000044908862,0.00096094736,0.00007189837,0.000052988355,0.000024506378,0.0018845911,0.99089867,0.0053139087,0.0001720951,0.00009813073,0.00011830086],"about_ca_topic_score_codex":0.00007647474,"about_ca_topic_score_gemma":0.00002780619,"teacher_disagreement_score":0.6590604,"about_ca_system_score_codex":0.000009459494,"about_ca_system_score_gemma":0.000005905686,"threshold_uncertainty_score":0.3150007},"labels":[],"label_agreement":null},{"id":"W1982310250","doi":"10.1190/int-2012-0008.1","title":"Fractured shale description using isotropic seismic analysis","year":2013,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Alberta Energy; Quadrise Canada Corporation (Canada)","funders":"","keywords":"Geology; Isotropy; Oil shale; Azimuth; Anisotropy; Seismology; Poisson's ratio; Microseism; Fracture (geology); Inversion (geology); Seismic wave; Seismic inversion; Seismic anisotropy; Poisson distribution; Mineralogy; Geotechnical engineering; Geophysics; Geometry; Statistics; Mathematics; Physics","score_opus":0.013780034708192114,"score_gpt":0.22507120347774823,"score_spread":0.21129116876955611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982310250","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":[0.7148509,0.000119190205,0.28297362,0.00016781889,0.0001542723,0.00008841496,0.0000051324446,0.00009795813,0.0015426916],"genre_scores_gemma":[0.99302226,0.0000062315335,0.004861282,0.0017850476,0.000032039974,0.00000123544,0.000102541904,0.000002239187,0.00018710412],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937826,0.000052274045,0.00015239832,0.00016049924,0.00012628632,0.00013030761],"domain_scores_gemma":[0.9996743,0.000029284498,0.0000752648,0.00011888092,0.000058539496,0.00004368342],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007003965,0.00007971805,0.000106413754,0.00024052443,0.00007575121,0.00011159754,0.00009699585,0.000046991358,0.0035202159],"category_scores_gemma":[0.000022605269,0.00006863762,0.00007929421,0.00030463692,0.00003007308,0.0006166092,0.0000042845786,0.0000786147,0.00040963496],"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":[0.000033300985,0.000022576589,0.5096453,0.000020010464,0.00027126877,0.000003615289,0.0030960427,0.068445355,0.0028213456,0.000010590749,0.008531327,0.40709928],"study_design_scores_gemma":[0.000042713018,0.000022972334,0.11170761,0.000009280549,0.00007275563,0.0000018496837,0.000102562444,0.88549685,0.00095455867,0.0010227078,0.0004895217,0.000076592594],"about_ca_topic_score_codex":0.017666003,"about_ca_topic_score_gemma":0.00005059308,"teacher_disagreement_score":0.81705153,"about_ca_system_score_codex":0.000012104933,"about_ca_system_score_gemma":0.0000116200345,"threshold_uncertainty_score":0.9973907},"labels":[],"label_agreement":null},{"id":"W1996737391","doi":"10.1190/int-2014-0200.1","title":"Regional 3D geophysical investigation of the Sudbury Structure","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Equipotential surface; Gravity anomaly; Geophysics; Basement; Basin and range topography; Archean; Magnetotellurics; Rift; Geologic map; Seismology; Geometry; Geomorphology; Tectonics; Paleontology","score_opus":0.022965218761276926,"score_gpt":0.21915046722060813,"score_spread":0.19618524845933122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996737391","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":[0.997078,0.00006093296,0.0015518466,0.0006102727,0.00013102827,0.000028830445,0.000009905367,0.000009694842,0.0005194758],"genre_scores_gemma":[0.9990159,7.906876e-7,0.00054828724,0.00027073536,0.00005058392,1.5697587e-7,0.00005523791,6.0949014e-7,0.000057685607],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995162,0.000065228814,0.00010576088,0.00008443597,0.0001728506,0.00005554676],"domain_scores_gemma":[0.9997137,0.000036124435,0.000062992396,0.0000801222,0.00006873727,0.00003830316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076557255,0.000041027604,0.00006128225,0.000020180258,0.000025993744,0.000009988838,0.00009858803,0.00003406826,0.00010205184],"category_scores_gemma":[0.00007456705,0.000023335899,0.00003921748,0.0001220206,0.00005873418,0.00007314791,0.0000048713464,0.0000636608,0.000024363846],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049131686,0.0000052830937,0.7387141,0.000008023001,0.00002236791,4.579255e-7,0.0017593373,0.22129531,0.0002866807,0.0001649413,0.0009661252,0.03672822],"study_design_scores_gemma":[0.000057325422,0.00003646129,0.45914537,0.0000125692095,0.0000146175935,0.0000015178088,0.00007460987,0.52455556,0.00016157534,0.015803747,0.000098796714,0.000037865902],"about_ca_topic_score_codex":0.00093401456,"about_ca_topic_score_gemma":0.00059238827,"teacher_disagreement_score":0.3032602,"about_ca_system_score_codex":0.0000020039724,"about_ca_system_score_gemma":0.000025047697,"threshold_uncertainty_score":0.14119568},"labels":[],"label_agreement":null},{"id":"W1997929756","doi":"10.1190/int-2014-0245.1","title":"ZTEM and VTEM airborne EM and magnetic results over the Lalor copper-gold volcanogenic massive sulfide deposit region, near Snow Lake, Manitoba","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Petro Geotech (Canada)","funders":"University of British Columbia","keywords":"Geology; Magnetic survey; Sulfide; Geochemistry; Magnetic anomaly; Geomorphology; Seismology; Paleontology; Materials science","score_opus":0.015955341442656524,"score_gpt":0.22366194284102767,"score_spread":0.20770660139837113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997929756","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":[0.9958246,0.0011762975,0.00051251834,0.0009951727,0.00021345184,0.00023205936,0.000030220048,0.000035111556,0.0009805815],"genre_scores_gemma":[0.99825597,0.000041928335,0.0006492998,0.0005503447,0.000095815965,0.000003674256,0.000038554885,0.000004470534,0.00035993807],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99879867,0.00023531767,0.00022864329,0.00029783367,0.0002115889,0.00022793996],"domain_scores_gemma":[0.9989788,0.0005095824,0.00009223574,0.00016056599,0.00008405243,0.00017479897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024182792,0.00014390289,0.00015788314,0.00003757847,0.0001030786,0.00018061495,0.00012900737,0.00007121069,0.000020300457],"category_scores_gemma":[0.00039460382,0.000093597395,0.000037501028,0.00021927254,0.00011663143,0.00018728718,0.000021724081,0.00016040698,0.000077313685],"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":[0.00071414985,0.000016294662,0.016968952,0.00001747357,0.000024199955,0.000026770886,0.0022142122,0.0003062811,0.000025594516,0.000046726815,0.0032965504,0.9763428],"study_design_scores_gemma":[0.0005561659,0.0006603312,0.92456084,0.00004152635,0.000045177323,0.00003823513,0.0003506906,0.06847177,0.000121041354,0.0029094215,0.0020812738,0.00016350985],"about_ca_topic_score_codex":0.0013504071,"about_ca_topic_score_gemma":0.010313165,"teacher_disagreement_score":0.9761793,"about_ca_system_score_codex":0.0000063270113,"about_ca_system_score_gemma":0.00002649883,"threshold_uncertainty_score":0.5754988},"labels":[],"label_agreement":null},{"id":"W2008722921","doi":"10.1190/int-2014-0076.1","title":"Producing pore pressure profiles based on theoretical models in undrilled, deepwater frontier basins","year":2014,"lang":"en","type":"article","venue":"Interpretation","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":"Nalcor Energy (Canada); Petro-Canada","funders":"","keywords":"Overpressure; Geology; Lithology; Pore water pressure; Submarine pipeline; Oil shale; Structural basin; Compaction; Cretaceous; Carbonate; Petrology; Geochemistry; Petroleum engineering; Seismology; Geotechnical engineering; Geomorphology; Paleontology","score_opus":0.0062832163834049964,"score_gpt":0.20280930341994424,"score_spread":0.19652608703653923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008722921","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":[0.40139028,0.00017758351,0.46001425,0.005107227,0.0010700356,0.0009864026,0.000077305114,0.00050415663,0.13067277],"genre_scores_gemma":[0.9933898,0.0000020284012,0.0040693143,0.0022395405,0.000043520453,0.0000039338315,0.000102003854,0.0000049484524,0.000144905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906373,0.00015603457,0.00016662957,0.00026359988,0.00018038918,0.00016962047],"domain_scores_gemma":[0.99961096,0.00009612739,0.000043668886,0.00017644269,0.000033764805,0.00003905686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037796525,0.00010491628,0.00011604531,0.00014428554,0.000044304226,0.000048588798,0.00012468427,0.000060669332,0.0005527548],"category_scores_gemma":[0.000098118995,0.00007925224,0.000036036752,0.00007976546,0.000080821366,0.0002299238,0.000005263919,0.00013534263,0.000050900348],"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":[0.0009827347,0.00013022793,0.11394801,0.00014940956,0.000029523302,0.000012902988,0.0075667463,0.3627834,0.000117771895,0.0061251884,0.015718898,0.4924352],"study_design_scores_gemma":[0.00016163132,0.000114024435,0.0052704243,0.0001171039,0.000007607379,0.0000014263283,0.00005013864,0.9759614,0.0021419786,0.014644851,0.0014219288,0.00010752354],"about_ca_topic_score_codex":0.00036788147,"about_ca_topic_score_gemma":0.000034773275,"teacher_disagreement_score":0.61317796,"about_ca_system_score_codex":0.0000058847363,"about_ca_system_score_gemma":0.000017498049,"threshold_uncertainty_score":0.60522777},"labels":[],"label_agreement":null},{"id":"W2016233067","doi":"10.1190/int-2014-0105.1","title":"Diffraction imaging of polygonal faults within a submarine volcanic terrain, Maverick Basin, south Texas","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; University of Texas at Austin","keywords":"Diffraction; Curvature; Geology; Amplitude; Fault (geology); Geometry; Coherence (philosophical gambling strategy); Envelope (radar); Seismology; Physics; Mathematics; Optics; Computer science; Statistics","score_opus":0.012945210863078304,"score_gpt":0.228966960986304,"score_spread":0.2160217501232257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016233067","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":[0.96404165,0.00012617429,0.020561043,0.0005856087,0.0007606973,0.00015061499,0.000038233262,0.00017044433,0.013565525],"genre_scores_gemma":[0.9969179,0.0000026510088,0.001530676,0.0010946495,0.00005134461,6.9329485e-7,0.00010365614,0.0000045335037,0.0002938743],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990809,0.000072300914,0.00026178977,0.00018604581,0.00025579068,0.00014319328],"domain_scores_gemma":[0.9994289,0.00004567093,0.00019610964,0.00013131839,0.00011579397,0.000082198865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003250699,0.00010693281,0.00013069206,0.00014972889,0.000035097753,0.000028806631,0.0001289418,0.00003476676,0.00027535463],"category_scores_gemma":[0.00015598937,0.00009311742,0.000050160794,0.00014824027,0.000073088515,0.0004065399,0.000012030439,0.00011669949,0.00011768878],"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":[0.00039355582,0.00003114993,0.8386391,0.000029814002,0.00002672283,0.000008253742,0.008102313,0.0007935386,0.00042987877,0.00002400657,0.008429284,0.1430924],"study_design_scores_gemma":[0.00050446327,0.00020779026,0.21177225,0.00010908223,0.000029396615,0.000047701382,0.0021321652,0.7749222,0.0062381704,0.0018434653,0.001953251,0.00024007262],"about_ca_topic_score_codex":0.008093767,"about_ca_topic_score_gemma":0.00008111978,"teacher_disagreement_score":0.7741287,"about_ca_system_score_codex":0.00001821574,"about_ca_system_score_gemma":0.00006272848,"threshold_uncertainty_score":0.99851143},"labels":[],"label_agreement":null},{"id":"W2018462081","doi":"10.1190/int-2014-0156.1","title":"Correlation between seismic diffractions extracted from vertical seismic profiling data and borehole logging in a carbonate environment","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Imperial College London; McGill University; University of Texas at Austin","keywords":"Geology; Vertical seismic profile; Petrophysics; Borehole; Seismic to simulation; Lithology; Seismology; Carbonate; Well logging; Tectonics; Seismic inversion; Petrology; Mineralogy; Geophysics; Geotechnical engineering; Porosity","score_opus":0.03154555818791242,"score_gpt":0.25195563294430906,"score_spread":0.22041007475639662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018462081","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":[0.8970813,0.00023759862,0.10095876,0.00047767174,0.00015860987,0.00014407594,0.00011688341,0.00007834735,0.000746753],"genre_scores_gemma":[0.99544543,0.000020967052,0.002462394,0.0003216872,0.000047431622,0.0000016817424,0.0016764484,0.0000042874553,0.000019655603],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906737,0.00009770338,0.00022695048,0.00029442072,0.00016958546,0.0001439973],"domain_scores_gemma":[0.9994649,0.00017790773,0.00005312005,0.00020832324,0.000012221599,0.00008350143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027173533,0.00009622362,0.00011639433,0.00011314583,0.00005007156,0.00005317335,0.000117388285,0.00006816038,0.00004479814],"category_scores_gemma":[0.00009870692,0.0000928989,0.00001251177,0.00006855517,0.000058877275,0.00059492607,0.000032031166,0.00020845534,0.00005729423],"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":[0.00007384585,0.000023775581,0.8596318,0.0000075657467,0.000018495084,0.000008938744,0.0015862668,0.025422726,0.00012761523,0.000004010994,0.00063102494,0.11246398],"study_design_scores_gemma":[0.00020064751,0.00003543677,0.15173197,0.000037141497,0.000017484299,0.0000033568874,0.00033352355,0.8445728,0.00020768629,0.0017034559,0.0010640281,0.00009246541],"about_ca_topic_score_codex":0.0074886223,"about_ca_topic_score_gemma":0.000036787736,"teacher_disagreement_score":0.8191501,"about_ca_system_score_codex":0.000028112187,"about_ca_system_score_gemma":0.000031826334,"threshold_uncertainty_score":0.9991206},"labels":[],"label_agreement":null},{"id":"W2025435619","doi":"10.1190/int-2013-0003.1","title":"Mudstone (“shale”) depositional and diagenetic processes: Implications for seismic analyses of source-rock reservoirs","year":2013,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"ConocoPhillips","keywords":"Geology; Source rock; Diagenesis; Bedding; Sedimentary depositional environment; Sedimentary rock; Oil shale; Lamination; Bed; Petrology; Anisotropy; Lithology; Geochemistry; Geomorphology; Paleontology; Structural basin","score_opus":0.024743936851106568,"score_gpt":0.2852186466624857,"score_spread":0.2604747098113791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025435619","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":[0.7191865,0.00065629475,0.2778801,0.0010000298,0.000036231042,0.00034248192,0.000063790554,0.000059425678,0.00077516696],"genre_scores_gemma":[0.9944488,0.000046526966,0.0045621917,0.0005978698,0.000017875509,0.000026174292,0.00015902583,0.0000030803456,0.00013849472],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947256,0.00002467586,0.00018310433,0.00014879649,0.00007206447,0.000098802375],"domain_scores_gemma":[0.9993775,0.00022031546,0.00009409265,0.00009100738,0.0001748766,0.000042220214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006604551,0.00006905786,0.00009293498,0.00010327774,0.0000833079,0.00003922006,0.000094296185,0.000033164455,0.00015045867],"category_scores_gemma":[0.000111054615,0.000059680922,0.00003106152,0.0001267874,0.000048904018,0.00024340216,0.0000065665,0.000036087877,0.000019727711],"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":[0.00015888449,0.000105483625,0.38228315,0.00088844314,0.00017519103,4.5689376e-7,0.0039563463,0.025699051,0.02012973,0.00008853187,0.02381788,0.54269683],"study_design_scores_gemma":[0.00021172328,0.000220357,0.20273165,0.00010645527,0.000052169737,0.000015954582,0.0003740004,0.76412773,0.020650124,0.010641662,0.00070105173,0.00016710951],"about_ca_topic_score_codex":0.0023583823,"about_ca_topic_score_gemma":0.000026979573,"teacher_disagreement_score":0.7384287,"about_ca_system_score_codex":0.0000034237935,"about_ca_system_score_gemma":0.000029984467,"threshold_uncertainty_score":0.35651842},"labels":[],"label_agreement":null},{"id":"W2025570548","doi":"10.1190/int-2013-0134.1","title":"Quest to delineate shale channel hazard in sandy reservoir","year":2014,"lang":"en","type":"article","venue":"Interpretation","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":"Apache (Canada)","funders":"","keywords":"Lithology; Geology; Oil shale; Workflow; Drilling; Inversion (geology); Reservoir modeling; Seismic inversion; Channel (broadcasting); Amplitude versus offset; Petrology; Petroleum engineering; Mining engineering; Geomorphology; Paleontology; Amplitude; Computer science; Engineering","score_opus":0.012721621853181228,"score_gpt":0.24291626194677887,"score_spread":0.23019464009359764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025570548","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":[0.9282804,0.000073384785,0.04299036,0.0026801517,0.00041020167,0.00017112413,0.000012524211,0.00015785437,0.025223969],"genre_scores_gemma":[0.9938337,0.0000068712366,0.0015880625,0.004198295,0.000055250403,0.0000023834616,0.00004777648,0.0000026433672,0.00026502137],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934494,0.0000725025,0.00015563013,0.00017160168,0.00011071647,0.0001446112],"domain_scores_gemma":[0.99969226,0.000065395005,0.00003078645,0.00011759571,0.0000366836,0.00005729149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003582572,0.00007002847,0.00008744904,0.00015352924,0.00003466528,0.00003991597,0.00013603529,0.00003511162,0.00021522022],"category_scores_gemma":[0.00016072557,0.00006212622,0.000022784867,0.00014152382,0.000017118635,0.00018271091,0.0000083738505,0.00007841957,0.0004354449],"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":[0.0003287416,0.000035515175,0.20525004,0.000045051263,0.000010836787,0.000011157608,0.005955072,0.020282011,0.0003535264,0.00011511756,0.04878002,0.7188329],"study_design_scores_gemma":[0.000139133,0.00016222705,0.040575895,0.000104060615,0.0000025009929,0.0000036110127,0.00012727753,0.94167006,0.0023022785,0.0020605007,0.012721653,0.00013082488],"about_ca_topic_score_codex":0.0039121956,"about_ca_topic_score_gemma":0.0010026962,"teacher_disagreement_score":0.92138803,"about_ca_system_score_codex":0.0000068002855,"about_ca_system_score_gemma":0.000010064309,"threshold_uncertainty_score":0.5914095},"labels":[],"label_agreement":null},{"id":"W2026158509","doi":"10.1190/int-2013-0177.1","title":"Carbonate karst reservoirs of the Tarim Basin, northwest China: Types, features, origins, and implications for hydrocarbon exploration","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Karst; Geology; Unconformity; Anticline; Carbonate rock; Sinkhole; Carbonate; Geochemistry; Geomorphology; Breccia; Facies; Sedimentary rock; Structural basin; Paleontology","score_opus":0.008980235278292526,"score_gpt":0.22025254047937629,"score_spread":0.21127230520108375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026158509","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":[0.9904466,0.00042796103,0.0018512633,0.002474439,0.00045231008,0.0004360767,0.00011498069,0.000024962665,0.0037713752],"genre_scores_gemma":[0.99930084,0.000020245358,0.00020376284,0.000120474,0.00006675263,0.000010600952,0.00019501605,0.00000396211,0.00007835053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993502,0.00008083072,0.00020062274,0.00017310008,0.000079671285,0.00011560902],"domain_scores_gemma":[0.99945205,0.00012259545,0.00014700207,0.00018915441,0.00005460708,0.0000345933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022028961,0.000084081636,0.00013383152,0.000050365594,0.00012083004,0.000025387952,0.00013008661,0.00006567463,0.000011734342],"category_scores_gemma":[0.00008668833,0.000058985504,0.000042506883,0.000106218526,0.00007240229,0.00017224463,0.000008943786,0.000067291134,0.0000037442835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012831419,0.00001929961,0.95174694,0.000093007046,0.000044021795,1.5233897e-7,0.0023797606,0.008592233,0.00061553996,0.013928209,0.00052812666,0.021924416],"study_design_scores_gemma":[0.00020339852,0.00013191836,0.9331172,0.000034972858,0.000029433708,0.000007775623,0.000035628833,0.050271306,0.00020244234,0.010225087,0.0056526503,0.00008819896],"about_ca_topic_score_codex":0.0106841065,"about_ca_topic_score_gemma":0.041736335,"teacher_disagreement_score":0.041679073,"about_ca_system_score_codex":0.0000069195867,"about_ca_system_score_gemma":0.000026850483,"threshold_uncertainty_score":0.99590385},"labels":[],"label_agreement":null},{"id":"W2026471337","doi":"10.1190/int-2014-0049.1","title":"A new technique for lithology and fluid content prediction from prestack data: An application to a carbonate reservoir","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fluidigm (Canada)","funders":"","keywords":"Lithology; Geology; Prestack; Facies; Borehole; Seismic to simulation; Reservoir modeling; Well logging; Carbonate; Petroleum engineering; Petrology; Seismic inversion; Seismology; Geotechnical engineering; Paleontology","score_opus":0.07068191129935181,"score_gpt":0.33153931066529657,"score_spread":0.26085739936594476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026471337","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":[0.17355336,0.00014914166,0.82489705,0.00008316794,0.00020173544,0.0006564672,0.00010266227,0.00026001522,0.00009638059],"genre_scores_gemma":[0.78057975,0.0000068340737,0.2184565,0.00002311155,0.00013979911,0.00027605743,0.00044016534,0.00002804802,0.000049715087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992459,0.000048646863,0.00022449065,0.00026705943,0.00009819139,0.00011574453],"domain_scores_gemma":[0.99920315,0.00009908429,0.000024719313,0.0004361903,0.00009765439,0.00013920848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003806468,0.00010757978,0.00013013888,0.0000979053,0.00001748576,0.000045595752,0.00017173238,0.00009747251,0.0000014843878],"category_scores_gemma":[0.00025039702,0.0001129119,0.0000140023785,0.00009032449,0.00000763392,0.00037473947,0.000042595948,0.00007389265,0.0000027494245],"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":[0.00017196995,0.000008532615,0.00040181365,0.000033483215,0.000027813503,4.2860145e-7,0.0018900249,0.89146054,0.09581301,0.00013318924,0.0010336058,0.009025587],"study_design_scores_gemma":[0.00040920006,0.00013148038,0.0014257714,0.00002886027,0.000017106078,0.00000226867,0.0000743825,0.98841715,0.0045167133,0.001519527,0.003353031,0.00010452247],"about_ca_topic_score_codex":0.00022352774,"about_ca_topic_score_gemma":0.00006300631,"teacher_disagreement_score":0.6070264,"about_ca_system_score_codex":0.00006248538,"about_ca_system_score_gemma":0.00001997023,"threshold_uncertainty_score":0.46044135},"labels":[],"label_agreement":null},{"id":"W2040456849","doi":"10.1190/int-2014-0080.1","title":"Diffraction imaging in fractured carbonates and unconventional shales","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":18,"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":"U.S. Department of Energy","keywords":"Geology; Oil shale; Reflection (computer programming); Specularity; Diffraction; Petroleum engineering; Mineralogy; Petrology; Seismology; Mining engineering; Optics; Paleontology; Computer science","score_opus":0.012091024492382769,"score_gpt":0.23564593983138968,"score_spread":0.2235549153390069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040456849","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":[0.98588794,0.001145413,0.0028476643,0.001191232,0.00036534702,0.00008196626,0.0000069354787,0.00008796131,0.008385508],"genre_scores_gemma":[0.9985978,0.000012563147,0.00058616936,0.00067080336,0.000023276356,8.1951066e-7,0.000058765712,0.0000014456934,0.000048363836],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995757,0.000036563848,0.000099945515,0.00011159647,0.00010152391,0.00007471304],"domain_scores_gemma":[0.9998082,0.000048979004,0.000037834205,0.00003875513,0.00002787007,0.000038364073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017010528,0.00005157411,0.000052215662,0.000105787665,0.000020532614,0.000038197377,0.00003763313,0.000020750043,0.000095067255],"category_scores_gemma":[0.00006390066,0.000045842036,0.000012848955,0.000055735396,0.00003350688,0.00034165778,0.0000039131332,0.000066252534,0.000021848997],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004372766,0.0000062866766,0.752135,0.0000046453674,0.0000022758322,0.000004748466,0.001067824,0.00029406344,0.00006324961,0.000028238843,0.0013233555,0.24502662],"study_design_scores_gemma":[0.00021150093,0.000025908674,0.44151172,0.00004046104,0.0000036772642,0.000015157987,0.0005624289,0.54346985,0.0003711646,0.011021669,0.0026812153,0.00008522571],"about_ca_topic_score_codex":0.0043536066,"about_ca_topic_score_gemma":0.0001751774,"teacher_disagreement_score":0.5431758,"about_ca_system_score_codex":0.000009368668,"about_ca_system_score_gemma":0.000016886954,"threshold_uncertainty_score":0.658138},"labels":[],"label_agreement":null},{"id":"W2043464446","doi":"10.1190/int-2013-0038.1","title":"Synthetic core from conventional logs: A new method of interpretation for identification of key reservoir properties","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Facies; Geology; Well logging; Reservoir modeling; Petrology; Coring; Porosity; Sedimentary depositional environment; Petrophysics; Mineralogy; Petroleum engineering; Geotechnical engineering; Geomorphology; Drilling; Structural basin; Engineering","score_opus":0.025228587144851697,"score_gpt":0.2825899955824283,"score_spread":0.2573614084375766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043464446","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":[0.11734668,0.00013664988,0.88161504,0.000101101745,0.00021453758,0.00022513159,0.000027218546,0.000060944676,0.00027271084],"genre_scores_gemma":[0.9907832,0.00001300917,0.0087905275,0.000017287966,0.00004421544,0.0000574641,0.00014500915,0.000022251737,0.00012702783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987673,0.00008533695,0.0006742377,0.00017485533,0.00020689955,0.000091383234],"domain_scores_gemma":[0.99906355,0.00020551881,0.00022937932,0.00022492922,0.0002350883,0.00004154924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003698495,0.00011443654,0.00025376948,0.00019940034,0.000022534236,0.000023090823,0.0001595655,0.00008051718,0.000046624747],"category_scores_gemma":[0.0004337286,0.00010639397,0.00015989301,0.00016544064,0.0000398814,0.00024085135,0.000013922677,0.000061086124,0.0000110868705],"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":[0.00030539025,0.00005324252,0.00015919727,0.00039950316,0.00034096418,7.867439e-8,0.008259268,0.51906145,0.44206223,0.002076878,0.00043941152,0.026842365],"study_design_scores_gemma":[0.00028024358,0.000051188457,0.00026001112,0.00017442208,0.00009354902,3.504687e-7,0.0002627163,0.85901564,0.13329221,0.0063542207,0.00012745458,0.000087996166],"about_ca_topic_score_codex":0.00008817911,"about_ca_topic_score_gemma":0.00007005949,"teacher_disagreement_score":0.8734365,"about_ca_system_score_codex":0.000038824714,"about_ca_system_score_gemma":0.000025778734,"threshold_uncertainty_score":0.43386203},"labels":[],"label_agreement":null},{"id":"W2043633996","doi":"10.1190/int-2014-0104.1","title":"Extracting ore-deposit-controlling structures from aeromagnetic, gravimetric, topographic, and regional geologic data in western Yukon and eastern Alaska","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Barrick Gold Corporation","keywords":"Geology; Lineament; Sinistral and dextral; Fault (geology); Geologic map; Seismology; Terrane; Shear zone; Tectonics; Geochemistry; Geomorphology","score_opus":0.020381106211853097,"score_gpt":0.2539679521960006,"score_spread":0.2335868459841475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043633996","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":[0.98610526,0.0012515918,0.012033995,0.00021773578,0.000108295426,0.0001082967,0.000012088472,0.00002232715,0.0001403765],"genre_scores_gemma":[0.99458224,0.000048332942,0.0048967106,0.00025273164,0.00009366781,9.811707e-7,0.000103597275,0.0000029021394,0.000018812703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876994,0.00023597969,0.000229637,0.00040768043,0.00016182798,0.0001949082],"domain_scores_gemma":[0.9984655,0.0011613908,0.00009658785,0.00017363566,0.000020291189,0.00008263015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028499818,0.00013051162,0.00020596891,0.00013310795,0.00006245368,0.00011387035,0.00015399787,0.00007770261,0.000042615076],"category_scores_gemma":[0.00026760285,0.00010178247,0.000020740006,0.00019931479,0.00006477975,0.00028544583,0.000033506614,0.00018824937,0.000008716552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007426753,0.000006176727,0.534334,0.000007181903,0.000007695315,0.0000030614483,0.0002182434,0.0001370272,0.00013856014,0.000013253353,0.000001365364,0.4650592],"study_design_scores_gemma":[0.00025284203,0.00015638316,0.7345438,0.00002153121,0.000016976852,0.000007151405,0.000024002256,0.2530851,0.000032712735,0.011715481,0.00004876741,0.00009525914],"about_ca_topic_score_codex":0.0054223277,"about_ca_topic_score_gemma":0.0028010227,"teacher_disagreement_score":0.46496394,"about_ca_system_score_codex":0.0000015628253,"about_ca_system_score_gemma":0.0000044937196,"threshold_uncertainty_score":0.8196974},"labels":[],"label_agreement":null},{"id":"W2044887667","doi":"10.1190/int-2014-0052.1","title":"Qualitative and quantitative reservoir bitumen characterization: A core to log correlation methodology","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":31,"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":"Universidad Industrial de Santander; Ecopetrol; James Madison University; Maersk Oil; ConocoPhillips","keywords":"Petrophysics; Asphalt; Formation evaluation; Asphaltene; Reservoir modeling; Well logging; Petroleum reservoir; Geology; Carbonate; Porosity; Characterization (materials science); Petroleum engineering; Mineralogy; Chemistry; Geotechnical engineering; Materials science","score_opus":0.143946202913319,"score_gpt":0.4868496893507381,"score_spread":0.3429034864374191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044887667","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":[0.38446894,0.000009264236,0.6111686,0.00077043846,0.00009118861,0.00022751442,0.000038789738,0.000023241382,0.0032020009],"genre_scores_gemma":[0.97002244,5.920913e-7,0.028834043,0.000155558,0.00007076883,0.00013666146,0.00027694687,0.000009441808,0.00049351936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991472,0.00020604079,0.00021254276,0.00022106887,0.000095711264,0.00011746383],"domain_scores_gemma":[0.999193,0.00027726268,0.0001269626,0.00012040508,0.00018197072,0.00010038658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003860673,0.000101312566,0.00014408478,0.000086479835,0.000070602335,0.000040767358,0.000072486175,0.00003189982,0.00006390946],"category_scores_gemma":[0.00009168796,0.00010012743,0.000024295683,0.00016531753,0.000047355254,0.00024703724,0.000036031706,0.00009078474,0.000115189236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003256042,0.00008169604,0.0060626008,0.000009545683,0.0000827022,4.9398193e-7,0.1951907,0.00044079722,0.043494184,0.74583244,0.0007672673,0.0077119656],"study_design_scores_gemma":[0.0025516567,0.0018744818,0.031802706,0.00022960007,0.00018560058,0.0000071386826,0.10927387,0.12340484,0.02662795,0.69092524,0.011933872,0.0011830613],"about_ca_topic_score_codex":0.00012109355,"about_ca_topic_score_gemma":0.000016636503,"teacher_disagreement_score":0.5855535,"about_ca_system_score_codex":0.00003324436,"about_ca_system_score_gemma":0.000041539344,"threshold_uncertainty_score":0.4083078},"labels":[],"label_agreement":null},{"id":"W2050641239","doi":"10.1190/int-2014-0129.1","title":"Sequence stratigraphy of a mixed siliciclastic-carbonate setting, Scotian Shelf, Canada","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":21,"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":"Siliciclastic; Geology; Paleontology; Sequence stratigraphy; Carbonate; Sequence (biology); Carbonate platform; Stratigraphy; Sedimentary depositional environment; Structural basin","score_opus":0.017357378192945333,"score_gpt":0.21938852659020674,"score_spread":0.2020311483972614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050641239","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":[0.9820407,0.00021990437,0.0010363703,0.00018761824,0.0003126376,0.000076204014,0.00007317699,0.000019317984,0.016034074],"genre_scores_gemma":[0.9989719,0.0000027132724,0.0007889972,0.00011300092,0.000011866648,7.5459496e-7,0.000082128594,8.8861043e-7,0.000027760638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935085,0.000042183652,0.00019906263,0.00009600097,0.00019637645,0.000115547606],"domain_scores_gemma":[0.9995377,0.000093123854,0.00009522731,0.00006952058,0.00012138173,0.000083029314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013277026,0.00006759424,0.00008571319,0.000043242027,0.000030306916,0.000021868176,0.00011399468,0.000028509967,0.00023339095],"category_scores_gemma":[0.00015981784,0.000052575084,0.00001993449,0.0001709316,0.00004561449,0.00019231364,0.0000036982472,0.000057126017,0.000014623538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012470987,0.000024069403,0.8696227,0.00014623211,0.000046793702,0.000012896285,0.0026114406,0.065023,0.00025709462,0.0011381239,0.0020482831,0.058944676],"study_design_scores_gemma":[0.00027378122,0.00037997268,0.5392688,0.00009186779,0.000023810757,0.000013186608,0.0013982364,0.44118935,0.0009854308,0.015193783,0.0009380897,0.00024371919],"about_ca_topic_score_codex":0.32348102,"about_ca_topic_score_gemma":0.7556764,"teacher_disagreement_score":0.43219534,"about_ca_system_score_codex":0.000004671406,"about_ca_system_score_gemma":0.00024732662,"threshold_uncertainty_score":0.68102396},"labels":[],"label_agreement":null},{"id":"W2060068360","doi":"10.1190/int-2014-0201.1","title":"Geophysical methods used in the discovery of the Kitumba iron oxide copper gold deposit","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","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":"Geoscience BC","funders":"","keywords":"Iron oxide copper gold ore deposits; Mineralization (soil science); Gradiometer; Geology; Radiometric dating; Geochemistry; Induced polarization; Gold ore; Geophysics; Mineralogy; Earth science; Seismology; Soil science; Electrical resistivity and conductivity; Engineering; Hydrothermal circulation","score_opus":0.022527212768503856,"score_gpt":0.2904492817942691,"score_spread":0.26792206902576526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060068360","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":[0.9891799,0.000119472665,0.007262189,0.0005427911,0.00022181995,0.00016379039,0.0000056238496,0.000008335041,0.0024960774],"genre_scores_gemma":[0.995868,0.0000016725651,0.0035384735,0.00041002056,0.000042961685,0.0000029920843,0.0000073263504,0.0000019292474,0.00012659193],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982972,0.00091223407,0.00020696434,0.00015258444,0.00027028646,0.00016070748],"domain_scores_gemma":[0.99884355,0.0008237878,0.00007738102,0.00018879656,0.000028295255,0.000038172362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006060868,0.00009028087,0.00014999352,0.000029575342,0.000026245596,0.000046044563,0.0003233018,0.000044276,0.0000091237025],"category_scores_gemma":[0.00034447317,0.00004399274,0.000091530244,0.00038526513,0.000078878846,0.00022354112,0.00001526785,0.00018781045,0.000032583117],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039827856,0.00021679327,0.25737736,0.000049714057,0.00003224651,0.000006221392,0.007301664,0.008438976,0.009670766,0.0015552102,0.00081020274,0.71414256],"study_design_scores_gemma":[0.0001769325,0.000161847,0.94599533,0.00002315779,0.000020175123,0.0000031407574,0.000235466,0.03562404,0.004633312,0.012892268,0.0001504453,0.00008388676],"about_ca_topic_score_codex":0.004058291,"about_ca_topic_score_gemma":0.0007716812,"teacher_disagreement_score":0.7140587,"about_ca_system_score_codex":0.000006201811,"about_ca_system_score_gemma":0.000026732438,"threshold_uncertainty_score":0.61349493},"labels":[],"label_agreement":null},{"id":"W2061285859","doi":"10.1190/int-2013-0086.1","title":"Precise 3D seismic steering and production rates in the Wilrich tight gas sands of West Central Alberta","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Geology; Drilling; Borehole; Permeability (electromagnetism); Petrology; Petroleum engineering; Directional drilling; Amplitude; Offset (computer science); Geophone; Well control; Wellbore; Geotechnical engineering; Seismology","score_opus":0.005712607374908921,"score_gpt":0.20636566405385035,"score_spread":0.20065305667894143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061285859","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":[0.9927133,0.00011113877,0.0021464282,0.00091317296,0.00019913758,0.00011932002,0.0000018091031,0.000017901344,0.0037778362],"genre_scores_gemma":[0.9992019,0.00004489896,0.0003607577,0.00025067656,0.00003382167,0.0000013603715,0.000022751201,0.0000016135223,0.00008224627],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999461,0.000089640635,0.00013510558,0.00012252537,0.00009198325,0.000099761404],"domain_scores_gemma":[0.9996903,0.00012999562,0.00005621229,0.00008849448,0.000018454866,0.000016527056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027612873,0.000058650545,0.0000721856,0.00006626232,0.000034039895,0.00002884848,0.00008221598,0.000024052812,0.000060116166],"category_scores_gemma":[0.000104786195,0.00004048484,0.000013862978,0.00009790733,0.000045524153,0.00021628512,0.000003920305,0.00006799108,0.000007687995],"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":[0.00009663426,0.000022820392,0.2909824,0.00006689954,0.000008971304,6.3421504e-7,0.013361169,0.004296507,0.0008017526,0.00003457642,0.002113544,0.6882141],"study_design_scores_gemma":[0.00013169259,0.00015279549,0.16333294,0.00012811336,0.000011075832,0.000014783774,0.00042654257,0.8242751,0.0074216523,0.0007487674,0.0032621282,0.000094443945],"about_ca_topic_score_codex":0.004800766,"about_ca_topic_score_gemma":0.00040371568,"teacher_disagreement_score":0.81997854,"about_ca_system_score_codex":0.0000031620493,"about_ca_system_score_gemma":0.000007481949,"threshold_uncertainty_score":0.72573537},"labels":[],"label_agreement":null},{"id":"W2062408150","doi":"10.1190/int-2014-0167.1","title":"Deep-burial dissolution and brecciation in dolostone reservoirs: Striking similarities between the Devonian Keg River Formation of western Canada and the Ordovician Ellenburger group of west Texas","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Paleontology and Stratigraphy of Fossils","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":"Geological Survey of Canada","funders":"","keywords":"Dolostone; Geology; Stylolite; Devonian; Dolomite; Ordovician; Dolomitization; Pseudomorph; Breccia; Geochemistry; Pressure solution; Paleontology; Paleozoic; Pennsylvanian; Carbonate rock; Facies; Sedimentary rock; Diagenesis; Quartz","score_opus":0.008600256574431536,"score_gpt":0.20743139193761928,"score_spread":0.19883113536318775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062408150","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":[0.9945638,0.0006936494,0.003178174,0.00050739676,0.000088777066,0.00017143963,0.000022306356,0.0000035520457,0.0007709117],"genre_scores_gemma":[0.999798,0.000041364823,0.000065287386,0.000034034423,0.000028237084,0.0000013442701,0.00002936203,6.6470943e-7,0.0000017275644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904615,0.0003023067,0.0003026317,0.000094475756,0.00014876698,0.000105654944],"domain_scores_gemma":[0.99899775,0.00065478,0.00021229572,0.00007942591,0.0000354714,0.000020291765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006721331,0.00007238743,0.00015384112,0.000064421045,0.00010304081,0.00002056056,0.000088363864,0.000058349644,0.0000068610425],"category_scores_gemma":[0.000119533994,0.00004609889,0.000020430058,0.000093330935,0.00026211425,0.00031143884,0.0000033308852,0.00009804486,1.2235877e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016562943,0.0000024470442,0.9394528,0.000024087545,0.000012023433,1.689708e-7,0.0034290068,0.0002455008,0.00000811287,0.00011461412,0.0000028752124,0.05654271],"study_design_scores_gemma":[0.00042171218,0.00006199992,0.96229863,0.000056486504,0.000021520687,0.0000017156411,0.0004111907,0.03516034,0.00004145428,0.0014522419,0.000023672206,0.000049010432],"about_ca_topic_score_codex":0.2201791,"about_ca_topic_score_gemma":0.9407972,"teacher_disagreement_score":0.7206181,"about_ca_system_score_codex":0.000005349561,"about_ca_system_score_gemma":0.000023702147,"threshold_uncertainty_score":0.7850138},"labels":[],"label_agreement":null},{"id":"W2065818528","doi":"10.1190/int-2014-0175.1","title":"Attenuation and velocity estimation using rock physics and neural network methods for calibrating reflection seismograms","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"Consejo Nacional de Ciencia y Tecnología; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Southwest Research Institute","keywords":"Attenuation; Geology; Seismogram; Well logging; Seismic inversion; Lithology; Reservoir modeling; Inversion (geology); Petroleum reservoir; Sonic logging; Saturation (graph theory); Mineralogy; Petroleum engineering; Seismology; Petrology; Geometry; Mathematics","score_opus":0.030454531797129033,"score_gpt":0.32395931468984446,"score_spread":0.2935047828927154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065818528","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":[0.13812988,0.000066156004,0.8612166,0.00014042092,0.00017001295,0.00012975052,0.0000018944411,0.00006891554,0.000076371114],"genre_scores_gemma":[0.70621365,0.0000027686908,0.2931875,0.00045647362,0.000077560624,0.0000016070823,0.000052402844,0.0000026134333,0.0000054263355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994075,0.0001402312,0.00013534541,0.00015737792,0.000054484008,0.000105084466],"domain_scores_gemma":[0.9995464,0.00023192953,0.00010191439,0.00004897398,0.000041223386,0.000029551034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045187736,0.00007385082,0.00008702782,0.000029779883,0.0001968267,0.00008127849,0.000025142845,0.000042593852,0.0000044899703],"category_scores_gemma":[0.00012289938,0.000069712034,0.000018588013,0.000085458465,0.000022235961,0.00042008804,0.000005459345,0.000059128288,6.1297783e-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":[0.000019819432,0.0000012604618,0.004342825,0.000018050392,0.0000035415242,1.7839408e-8,0.00030227544,0.054858647,0.00018298572,0.00004624407,0.000070499445,0.94015384],"study_design_scores_gemma":[0.0000944406,0.00008636292,0.0028505265,0.000034853485,0.000018383224,0.0000050734725,0.000036319434,0.98624074,0.00087753584,0.009419951,0.00025664156,0.000079169855],"about_ca_topic_score_codex":0.0005214599,"about_ca_topic_score_gemma":0.0000102132735,"teacher_disagreement_score":0.9400747,"about_ca_system_score_codex":0.0000057719726,"about_ca_system_score_gemma":0.0000061164124,"threshold_uncertainty_score":0.28427744},"labels":[],"label_agreement":null},{"id":"W2074382198","doi":"10.1190/int2014-0618-spseintro.1","title":"Introduction to special section: Microseismic monitoring","year":2014,"lang":"en","type":"article","venue":"Interpretation","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":"Kingston Health Sciences Centre; Kingston General Hospital","funders":"","keywords":"Microseism; Section (typography); Special section; Geology; Computer science; Seismology; Engineering; Engineering physics; Operating system","score_opus":0.006145839613933383,"score_gpt":0.21540494347745706,"score_spread":0.20925910386352367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074382198","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":[0.8487651,0.000033211858,0.09806161,0.0063951937,0.01772094,0.00018896609,0.000005708568,0.00037478836,0.028454507],"genre_scores_gemma":[0.97894895,0.0000034204097,0.0028199104,0.0010796223,0.0165697,0.0000011131071,0.00001979237,0.0000026082575,0.0005548653],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994359,0.0000441454,0.00011752079,0.0001816415,0.00010779106,0.00011300342],"domain_scores_gemma":[0.99973345,0.000028320881,0.00003470261,0.00010196231,0.00003908201,0.00006246661],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018591095,0.0000661005,0.0000640969,0.00011031227,0.00009454158,0.00006335912,0.00008170744,0.000032434848,0.0010143613],"category_scores_gemma":[0.00009642774,0.00006359999,0.00002761096,0.00012753176,0.000017511675,0.00021633311,0.0000046215478,0.00008170725,0.00070529524],"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":[0.00006395602,0.00000527252,0.022725025,0.000006564066,0.0000053399117,4.2804294e-7,0.00093523343,0.0019235017,0.0020052092,0.00002387738,0.15767217,0.8146334],"study_design_scores_gemma":[0.00013645159,0.0002610922,0.05556687,0.000041695246,0.000010058011,0.00002216379,0.00026680736,0.06510916,0.047728267,0.0009472187,0.82968414,0.00022608177],"about_ca_topic_score_codex":0.00057100505,"about_ca_topic_score_gemma":0.000013233157,"teacher_disagreement_score":0.81440735,"about_ca_system_score_codex":0.000011412224,"about_ca_system_score_gemma":0.000008211105,"threshold_uncertainty_score":0.99989885},"labels":[],"label_agreement":null},{"id":"W2075158230","doi":"10.1190/int-2013-0199.1","title":"Visual saliency and potential field data enhancements: Where is your attention drawn?","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Barrick Gold Corporation","keywords":"Visualization; Computer science; Interpreter; Spotting; Artificial intelligence; Salient; Feature (linguistics); Data set; Pattern recognition (psychology); Data visualization; Computer vision","score_opus":0.013603037987360319,"score_gpt":0.3322883310057305,"score_spread":0.3186852930183702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075158230","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":[0.016205382,0.00011474694,0.98194283,0.00059384125,0.00021778888,0.00011171917,0.0000026495466,0.00013426814,0.00067676423],"genre_scores_gemma":[0.96816367,0.000105211686,0.03066772,0.0008005152,0.00006209304,0.0000048064785,0.000018376315,0.0000061883443,0.00017140264],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999054,0.00004945788,0.00019432118,0.00038759885,0.0001814717,0.00013314362],"domain_scores_gemma":[0.9993004,0.000042213887,0.00009858988,0.00044699776,0.000073225725,0.00003853899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019147687,0.00009679188,0.00009353758,0.00006994622,0.0000872963,0.0002575341,0.0004894055,0.0000492136,0.000025114332],"category_scores_gemma":[0.00010445006,0.00009260713,0.000023231561,0.00012193833,0.000027456048,0.00180001,0.00035701966,0.00008468731,0.000030736093],"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":[0.000023064487,0.00004039993,0.00044017378,0.00002727887,0.000012936115,0.0000021152337,0.00070279575,0.0000012869731,0.017279856,0.0009861643,0.0017063146,0.9787776],"study_design_scores_gemma":[0.0007224462,0.0013144541,0.0033386478,0.00034066438,0.00004332577,0.000029301307,0.00013409567,0.8286229,0.12417355,0.023337534,0.017358841,0.0005842468],"about_ca_topic_score_codex":0.000026121506,"about_ca_topic_score_gemma":0.0000049188648,"teacher_disagreement_score":0.97819334,"about_ca_system_score_codex":0.000013822422,"about_ca_system_score_gemma":0.000013010456,"threshold_uncertainty_score":0.37764093},"labels":[],"label_agreement":null},{"id":"W2082561186","doi":"10.1190/int2015-0318-spseintro.1","title":"Introduction to special section: Mining and minerals exploration interpretation","year":2015,"lang":"en","type":"article","venue":"Interpretation","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":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Section (typography); Interpretation (philosophy); Geology; Geochemistry; Mining engineering; Computer science; Philosophy; Linguistics","score_opus":0.023534387740553428,"score_gpt":0.25134484040184046,"score_spread":0.22781045266128702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082561186","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":[0.081643194,0.000024755775,0.8836112,0.016433822,0.0034064532,0.00017472477,5.4905155e-7,0.00014451591,0.014560786],"genre_scores_gemma":[0.97203785,0.0000018901098,0.02052806,0.00031063048,0.005082235,0.000039053066,0.000017462597,0.000003148801,0.0019796542],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903065,0.0000727063,0.00022962547,0.0003643146,0.00017280743,0.00012988166],"domain_scores_gemma":[0.99929696,0.000035775563,0.00009328064,0.00019900357,0.0002715647,0.00010339011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035863608,0.00010795048,0.000104416,0.00012164018,0.000062658844,0.00019243825,0.0001506408,0.000059845985,0.000021186857],"category_scores_gemma":[0.0005425463,0.00011182711,0.000022353903,0.0002770905,0.000018969911,0.0012727281,0.000088512716,0.0000636373,0.00003786776],"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":[0.00048230632,0.00010627963,0.0006112468,0.00009877951,0.00005974361,0.000018671399,0.13687664,0.04563666,0.042430602,0.011827213,0.38163146,0.38022038],"study_design_scores_gemma":[0.00089245074,0.00083309156,0.00064699247,0.00015713056,0.000025950132,0.00021498388,0.0038975473,0.7385746,0.024475511,0.01816209,0.21140978,0.00070983963],"about_ca_topic_score_codex":0.000008541989,"about_ca_topic_score_gemma":0.00001884958,"teacher_disagreement_score":0.8903947,"about_ca_system_score_codex":0.00006828208,"about_ca_system_score_gemma":0.00002762797,"threshold_uncertainty_score":0.45601773},"labels":[],"label_agreement":null},{"id":"W2084599936","doi":"10.1190/int-2014-0064.1","title":"Multifocusing 3D diffraction imaging for detection of fractured zones in mudstone reservoirs: Case history","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"Shell Canada","keywords":"Diffraction; Geology; Specular reflection; Amplitude; Drilling; Seismology; Wavelength; Geophysical imaging; Scattering; Mineralogy; Optics; Materials science; Physics","score_opus":0.011235532892243662,"score_gpt":0.234284598775168,"score_spread":0.22304906588292434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084599936","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":[0.60157573,0.00030674448,0.39660606,0.00013145368,0.00057617534,0.00017609388,0.0000056431963,0.000071213624,0.0005508588],"genre_scores_gemma":[0.99263847,0.0000054076077,0.0069668326,0.0002790845,0.000043966185,0.0000037591851,0.000027553742,0.0000041216203,0.000030794763],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932694,0.00008460565,0.00022456098,0.00016064818,0.00009139919,0.00011184489],"domain_scores_gemma":[0.99941736,0.00023763026,0.00015268571,0.000102040045,0.000066901484,0.00002337289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038056134,0.000076232034,0.00010965584,0.00022861817,0.000048199392,0.000012745679,0.000053289885,0.000042623575,0.00006747691],"category_scores_gemma":[0.00025939965,0.00007347678,0.000040811192,0.00006968804,0.000043067725,0.000411391,0.0000036012616,0.0000910606,0.0000053344393],"study_design_candidate":"design_other","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":[0.00021477223,0.00001814871,0.009040504,0.00005833888,0.000004994683,0.000007708784,0.0027323777,0.0018027299,0.007739769,0.0000041449707,0.0003454032,0.9780311],"study_design_scores_gemma":[0.00026197708,0.00007033433,0.007921599,0.00007505046,0.000010221812,0.00004820461,0.00030587974,0.97135407,0.013142681,0.0004971163,0.006220172,0.0000926913],"about_ca_topic_score_codex":0.014825643,"about_ca_topic_score_gemma":0.0010569139,"teacher_disagreement_score":0.9779384,"about_ca_system_score_codex":0.00004536547,"about_ca_system_score_gemma":0.00001308407,"threshold_uncertainty_score":0.99173474},"labels":[],"label_agreement":null},{"id":"W2110855170","doi":"10.1190/int-2013-0130.1","title":"Automatic approaches for seismic to well tying","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":54,"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":"Lawrence Berkeley National Laboratory","keywords":"Tying; Computer science; Metric (unit); Similarity (geometry); Process (computing); Task (project management); Dynamic time warping; TRACE (psycholinguistics); Measure (data warehouse); Matching (statistics); Artificial intelligence; Subjectivity; Data mining; Pattern recognition (psychology); Computer vision; Image (mathematics); Mathematics; Engineering; Programming language","score_opus":0.022229485681943315,"score_gpt":0.2340972728863107,"score_spread":0.21186778720436739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110855170","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":[0.028962517,0.000008275457,0.96693486,0.00053189567,0.00012449914,0.00012556577,3.6988283e-7,0.00009676262,0.003215261],"genre_scores_gemma":[0.8831699,9.750619e-8,0.11623611,0.0003605339,0.000037726193,0.0000293705,0.0000026439623,0.0000053210997,0.00015830356],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940985,0.000025354615,0.00016162045,0.00019417115,0.00008202905,0.00012699953],"domain_scores_gemma":[0.9995701,0.00009545821,0.00006562696,0.0001934103,0.000035916393,0.000039543967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025460214,0.00006556512,0.00009837878,0.00007778504,0.00006910072,0.00014570753,0.0002628834,0.000020594429,0.00000990803],"category_scores_gemma":[0.00009085795,0.000059237926,0.00006201164,0.00015262929,0.0000064471933,0.00025393566,0.000057272242,0.000027456892,0.00007968734],"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":[0.00000350003,0.000008917489,0.000035769684,0.000025810747,0.000013940622,8.8960476e-8,0.0025030915,0.018512828,0.00017758684,0.01368205,0.00030495785,0.96473145],"study_design_scores_gemma":[0.00005806511,0.00006840176,0.00018910778,0.000027168637,0.000007312001,0.0000013528274,0.0000542339,0.9937326,0.00042276282,0.0027733215,0.0025900975,0.00007557829],"about_ca_topic_score_codex":0.000007865768,"about_ca_topic_score_gemma":0.0000048931333,"teacher_disagreement_score":0.9752198,"about_ca_system_score_codex":0.000020721036,"about_ca_system_score_gemma":0.0000070918322,"threshold_uncertainty_score":0.24156526},"labels":[],"label_agreement":null},{"id":"W2112944299","doi":"10.1190/int-2013-0080.1","title":"Local skewness attribute as a seismic phase detector","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Skewness; Kurtosis; Stability (learning theory); Range (aeronautics); Detector; Phase (matter); Seismology; Geology; Computer science; Econometrics; Physics; Statistics; Mathematics; Engineering; Machine learning; Telecommunications","score_opus":0.008608775963906915,"score_gpt":0.2455146174711765,"score_spread":0.2369058415072696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112944299","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":[0.33330598,0.00005156098,0.66079015,0.00040363413,0.00032881333,0.00007893305,0.000014535143,0.00023110228,0.0047953227],"genre_scores_gemma":[0.99552405,0.000004951145,0.00052712084,0.0035655138,0.00004838728,0.0000015870501,0.0000887447,0.0000033131066,0.00023631394],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928665,0.00007898701,0.00014751851,0.00017990159,0.000147339,0.00015960715],"domain_scores_gemma":[0.999599,0.00010066331,0.00005783685,0.0001304673,0.000043051863,0.00006899384],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021688282,0.00009223055,0.00010052189,0.00008433646,0.00007601172,0.000049922342,0.0001407419,0.000048123282,0.00062293856],"category_scores_gemma":[0.0000859908,0.00007943993,0.000047129917,0.00010353542,0.00006909781,0.00022418941,0.0000059990016,0.00009688295,0.0010624952],"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":[0.000073036594,0.00001249793,0.0015912873,0.000009588595,0.0000069831076,0.0000028274617,0.00032416862,0.0007526739,0.00015396158,0.000033069085,0.0029390291,0.99410087],"study_design_scores_gemma":[0.00034366106,0.00030428535,0.0011406506,0.000036615515,0.000010325963,0.000019951904,0.000107857355,0.94530827,0.014585648,0.0033966852,0.034617085,0.00012893767],"about_ca_topic_score_codex":0.0021317876,"about_ca_topic_score_gemma":0.000028073819,"teacher_disagreement_score":0.99397194,"about_ca_system_score_codex":0.000007709887,"about_ca_system_score_gemma":0.000020327525,"threshold_uncertainty_score":0.99971527},"labels":[],"label_agreement":null},{"id":"W2114840312","doi":"10.1190/int-2014-0018.1","title":"Hydrocarbon indicators on seismic data: Insights from poroviscoelastic modeling, amplitude, and frequency variation with offsets from the Drake Point gas field, Western Arctic Islands, Canada","year":2014,"lang":"en","type":"article","venue":"Interpretation","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Geological Survey of Canada","funders":"Suncor Energy Incorporated","keywords":"Amplitude versus offset; Geology; Amplitude; Seismology; Well control; Seismogram; Seismic trace; Poromechanics; Attenuation; Biot number; Seismic inversion; Seismic to simulation; Vertical seismic profile; Petrophysics; Seismic wave; Geophysics; Offset (computer science); Mineralogy; Drilling; Porosity; Wavelet; Geotechnical engineering; Porous medium","score_opus":0.006871502094325919,"score_gpt":0.19179746628277788,"score_spread":0.18492596418845197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114840312","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":[0.8819348,0.00015070473,0.11526722,0.0011994848,0.0002768513,0.00014054598,0.000120026365,0.00005357469,0.0008567856],"genre_scores_gemma":[0.99253976,0.000016159122,0.00040374201,0.0060288324,0.00009239406,0.0000018963378,0.0009033135,0.000005756883,0.000008157805],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882615,0.00012712445,0.0002120816,0.00036973765,0.00033258065,0.00013235823],"domain_scores_gemma":[0.99885976,0.0005298043,0.0001328188,0.0003808998,0.000033402604,0.00006333363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013906046,0.00014827495,0.00013720302,0.000065134926,0.00012605499,0.00010959618,0.00028278393,0.000056182053,0.00005470831],"category_scores_gemma":[0.00013312296,0.00009601715,0.000013077318,0.00008328815,0.00003365353,0.00032159232,0.000020334013,0.00019715731,0.000011416598],"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":[0.0007332432,0.00007534288,0.6342823,0.000056212444,0.000339713,0.000029942588,0.016063038,0.024293084,0.00013839846,0.00016892304,0.007369686,0.31645012],"study_design_scores_gemma":[0.00020693058,0.00016176411,0.048320137,0.0001545585,0.000043417007,0.0000027519807,0.00015995657,0.94505394,0.00007096762,0.005345902,0.00033660568,0.0001430955],"about_ca_topic_score_codex":0.86509705,"about_ca_topic_score_gemma":0.4754773,"teacher_disagreement_score":0.9207608,"about_ca_system_score_codex":0.000023554067,"about_ca_system_score_gemma":0.00011256426,"threshold_uncertainty_score":0.53409386},"labels":[],"label_agreement":null},{"id":"W2115950220","doi":"10.1190/int-2014-0055.1","title":"Incorporating 3C seismic data quantitatively for enhanced geologic detail in an oil sands reservoir","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Bio-Systems (Canada); Canadian Natural Resources","funders":"Shell Canada","keywords":"Workflow; Geology; Seismic inversion; Amplitude versus offset; Amplitude; Seismic to simulation; Data set; Inversion (geology); Offset (computer science); Seismology; Seismic attribute; Reservoir modeling; Data quality; Mineralogy; Petroleum engineering; Computer science; Engineering; Database; Geometry; Artificial intelligence","score_opus":0.04683238402766932,"score_gpt":0.30026825167538185,"score_spread":0.25343586764771253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115950220","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":[0.7846341,0.000058596208,0.2111783,0.00041035993,0.0001798378,0.000092600465,0.00004617549,0.00010675682,0.0032932279],"genre_scores_gemma":[0.9783252,0.000008321607,0.019351821,0.0013036676,0.000041781608,0.0000049744726,0.000868635,0.0000040123564,0.00009159646],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893653,0.000178487,0.00025610972,0.00033718892,0.00011716278,0.00017448884],"domain_scores_gemma":[0.9991237,0.00033140648,0.00013983325,0.00029407072,0.00006835942,0.00004264835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094134506,0.00010221544,0.00014006763,0.00013692342,0.00008722085,0.00006772066,0.00042003134,0.000059631442,0.00006306182],"category_scores_gemma":[0.00049332506,0.000089676534,0.00002214626,0.00014158017,0.00006668616,0.00087907346,0.000023531056,0.00010972334,0.000037858383],"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":[0.0002839224,0.000027653472,0.053257626,0.000064497974,0.000008818103,0.0000014952111,0.002033774,0.008849452,0.0018900415,0.00014205545,0.0017079012,0.9317328],"study_design_scores_gemma":[0.00022957238,0.0002884206,0.006629175,0.000064390384,0.0000052959435,0.0000012519115,0.00039625564,0.98178655,0.002656309,0.006696597,0.0011206411,0.00012552715],"about_ca_topic_score_codex":0.0017963288,"about_ca_topic_score_gemma":0.0012870005,"teacher_disagreement_score":0.9729371,"about_ca_system_score_codex":0.0000072076864,"about_ca_system_score_gemma":0.00003217264,"threshold_uncertainty_score":0.3656903},"labels":[],"label_agreement":null},{"id":"W2122439372","doi":"10.1190/int-2012-0010.1","title":"Qualitative geophysical interpretation of the Sudbury Structure","year":2013,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lineament; Geology; Geophysics; Bedrock; Magnetic anomaly; Geologic map; Magnetic survey; Stratigraphy; Electrical conductor; Mineralogy; Seismology; Tectonics; Paleontology","score_opus":0.010860808050380876,"score_gpt":0.2798091932737189,"score_spread":0.268948385223338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122439372","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":[0.98908865,0.000045769113,0.0077310363,0.0004101749,0.0003095391,0.0002249137,0.000024781277,0.000018428234,0.0021467288],"genre_scores_gemma":[0.99822694,7.7053164e-7,0.0012790855,0.00025481326,0.000048705366,0.0000026462913,0.000022160908,0.0000022906042,0.00016260977],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99885345,0.00038276546,0.0002311551,0.00015987422,0.00022559117,0.00014715765],"domain_scores_gemma":[0.9990099,0.0005532473,0.00013159185,0.00014051826,0.00011814525,0.000046619654],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010498564,0.00009937031,0.00014727564,0.00003649161,0.000051639123,0.000030828814,0.00020160065,0.00005287793,0.0011174259],"category_scores_gemma":[0.00027615152,0.000058015845,0.00010060622,0.0003012962,0.0001052541,0.00026633026,0.000011943412,0.00016348994,0.00016790282],"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":[0.00008047249,0.00002624052,0.0047824383,0.00003166238,0.000036020407,2.0706223e-7,0.012467188,0.0016572025,0.003500476,0.0007359352,0.0002996853,0.9763825],"study_design_scores_gemma":[0.000096703436,0.00015743857,0.70401335,0.000029805604,0.000015807542,0.0000011412122,0.0006409805,0.18246354,0.0040995004,0.10834815,0.000032815962,0.00010077568],"about_ca_topic_score_codex":0.001961142,"about_ca_topic_score_gemma":0.00018321103,"teacher_disagreement_score":0.9762817,"about_ca_system_score_codex":0.000004180025,"about_ca_system_score_gemma":0.00001838572,"threshold_uncertainty_score":0.9997957},"labels":[],"label_agreement":null},{"id":"W2134270230","doi":"10.1190/int-2014-0257.1","title":"3D data visualization: The advantages of volume graphics and big data to support geologic interpretation","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iogen Corporation","funders":"","keywords":"Computer science; Workflow; Visualization; Graphics; Interpretation (philosophy); Context (archaeology); Representation (politics); Big data; Volume (thermodynamics); Data visualization; Computer graphics (images); Computer graphics; External Data Representation; Data science; Data mining; Artificial intelligence; Database; Programming language; Geology","score_opus":0.11635936088152449,"score_gpt":0.3194294517547465,"score_spread":0.20307009087322203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134270230","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":[0.42814347,0.0008631679,0.56610644,0.0020431462,0.0006642173,0.00027583266,0.0007079826,0.00006971551,0.0011260391],"genre_scores_gemma":[0.9944984,0.0000846808,0.0012703148,0.0005963883,0.00006378456,8.7405255e-7,0.0034134306,0.0000021909234,0.00006993544],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988543,0.00014649464,0.00028971327,0.0003522305,0.0002347965,0.00012248875],"domain_scores_gemma":[0.9988856,0.00013414788,0.00012570427,0.0006389937,0.00013062955,0.000084982414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008882802,0.000094754716,0.00014904255,0.00009960048,0.000059913655,0.000060134586,0.00070382474,0.00005018566,0.0001337524],"category_scores_gemma":[0.00077405944,0.000060909588,0.000017280998,0.0002857694,0.00008892435,0.00038397172,0.00016405593,0.0000736344,0.00005756075],"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":[0.0001801722,0.000029540051,0.4389291,0.000025720468,0.00007133885,0.000004033275,0.0031781525,0.051942162,0.000014456159,0.0000720859,0.0035914932,0.5019617],"study_design_scores_gemma":[0.00008405787,0.00024247383,0.048235726,0.000018898218,0.000050002505,0.0000058669198,0.00039180237,0.9473849,0.0000039706415,0.0006448177,0.002853925,0.0000835376],"about_ca_topic_score_codex":0.0010750665,"about_ca_topic_score_gemma":0.0028589307,"teacher_disagreement_score":0.8954428,"about_ca_system_score_codex":0.0000018663683,"about_ca_system_score_gemma":0.00003355439,"threshold_uncertainty_score":0.24838209},"labels":[],"label_agreement":null},{"id":"W2135627980","doi":"10.1190/int-2013-0192.1","title":"Monitoring managed aquifer recharge with electrical resistivity probes","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; ExxonMobil (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater recharge; Aquifer; Water table; Electrical resistivity tomography; Geology; Groundwater; Electrical resistivity and conductivity; Saturation (graph theory); Hydrology (agriculture); Water well; Pore water pressure; Electrical conduit; Soil science; Geotechnical engineering","score_opus":0.01104360030295413,"score_gpt":0.23764328128028614,"score_spread":0.22659968097733202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135627980","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":[0.9022287,0.00009404925,0.08637894,0.0002527714,0.0001835895,0.00016106252,0.0000020592825,0.00010541544,0.010593384],"genre_scores_gemma":[0.9911624,0.000004795297,0.008257544,0.00007904351,0.00014451698,0.0000034018406,0.000006997919,0.0000029153093,0.00033838],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99900895,0.00023016597,0.000118312826,0.00022733386,0.00019549977,0.00021972954],"domain_scores_gemma":[0.99933743,0.0003899691,0.000046737026,0.000108253946,0.000039863367,0.00007771559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002892147,0.00009900951,0.00012980921,0.00005602403,0.000087031556,0.000049386934,0.00010673043,0.000044219178,0.00011328571],"category_scores_gemma":[0.0002487893,0.00006778962,0.000034708093,0.00029519174,0.000025943395,0.00015477417,0.0000043200002,0.00016700345,0.00019391102],"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":[0.00017027893,0.000017048003,0.04022666,0.000010347204,0.0000105094,0.0000018161703,0.00007302798,0.00020352994,0.0002530489,0.00018040041,0.000029281466,0.95882404],"study_design_scores_gemma":[0.00014414405,0.00053439825,0.90009016,0.00003711085,0.000016552825,0.0000028402399,0.00000660713,0.08723107,0.004601416,0.0066173924,0.0005753699,0.00014295455],"about_ca_topic_score_codex":0.00022992518,"about_ca_topic_score_gemma":0.00007414667,"teacher_disagreement_score":0.9586811,"about_ca_system_score_codex":0.0000048456704,"about_ca_system_score_gemma":0.000009227338,"threshold_uncertainty_score":0.27643803},"labels":[],"label_agreement":null},{"id":"W2136498590","doi":"10.1190/int-2014-0001.1","title":"Unconformity surface architecture of the northeast Thelon Basin, Nunavut, derived from integration of magnetic source depth estimates","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; McMaster University","funders":"","keywords":"Unconformity; Geology; Outcrop; Structural basin; Seismology; Geomorphology","score_opus":0.007016400382201303,"score_gpt":0.2141838288463524,"score_spread":0.2071674284641511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136498590","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":[0.8840628,0.00006693216,0.114360936,0.0001383226,0.00011334851,0.000112408525,0.000023205954,0.00001350795,0.0011084864],"genre_scores_gemma":[0.9917265,0.0000017010328,0.008088702,0.00008734965,0.000023545568,5.1355084e-7,0.000036353016,0.0000023677485,0.000032960474],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99913377,0.00020798786,0.00022864944,0.00013560089,0.00018140714,0.00011259416],"domain_scores_gemma":[0.9988594,0.0007137654,0.00015958904,0.00015863482,0.00007202237,0.000036557016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001569241,0.000100142635,0.0001735752,0.000023695,0.000043771543,0.000015044395,0.00018615364,0.000049080576,0.00017514298],"category_scores_gemma":[0.00038500453,0.00005790601,0.000083820065,0.00018743465,0.000095528805,0.00006890602,0.000010543574,0.00012492428,0.000015770132],"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":[0.00009525031,0.000015731923,0.12033072,0.000015965878,0.000009369129,4.303225e-8,0.00097002555,0.013800194,0.007516013,0.000023376137,0.000003292446,0.85722],"study_design_scores_gemma":[0.000089760935,0.00018681375,0.71928406,0.000047158373,0.000021562602,6.4003854e-7,0.00004708717,0.2389802,0.0319616,0.009299236,0.000024776546,0.000057082027],"about_ca_topic_score_codex":0.0047949785,"about_ca_topic_score_gemma":0.0035500135,"teacher_disagreement_score":0.85716295,"about_ca_system_score_codex":0.0000023471116,"about_ca_system_score_gemma":0.000017505792,"threshold_uncertainty_score":0.7248605},"labels":[],"label_agreement":null},{"id":"W2137115128","doi":"10.1190/int-2013-0044.1","title":"Discovery of polymetallic porphyry at the Silver Queen, British Columbia using airborne EM and TITAN-24 DCIP and MT surveys","year":2013,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","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":"Geoscience BC","funders":"","keywords":"Stockwork; Geology; Mineralization (soil science); Exploration geophysics; Magnetic survey; Induced polarization; Drilling; Mineral exploration; Hornfels; Geochemistry; Geophysics; Magnetic anomaly; Quartz; Paleontology; Engineering; Electrical engineering; Chemistry; Biotite","score_opus":0.009726527919358288,"score_gpt":0.21537512885754737,"score_spread":0.20564860093818907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137115128","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":[0.9973216,0.0007451059,0.0013188635,0.000082265484,0.000110728375,0.0001406107,0.000036291225,0.00000874149,0.00023576299],"genre_scores_gemma":[0.99802965,0.000031602376,0.00034414552,0.00012446097,0.000028032786,0.0000013020862,0.00002650424,0.0000026266475,0.0014116705],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99912065,0.00027785075,0.00016405033,0.00017061544,0.00012731952,0.00013949834],"domain_scores_gemma":[0.9993293,0.00042859744,0.00007740989,0.000080157006,0.00003702484,0.00004750105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527853,0.00006463238,0.0001397773,0.000016654149,0.0000915049,0.00023535984,0.000063091094,0.000040822357,0.0005068357],"category_scores_gemma":[0.00011712281,0.000058152833,0.000036045276,0.00013726152,0.00011343402,0.00036038904,0.00001939377,0.0000750748,0.000018028626],"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":[0.000014668706,0.000017049846,0.12410422,0.000029779481,0.000032128122,0.0000022842119,0.00024472628,0.000070707196,0.0018687506,0.0000053485765,0.0002852996,0.87332505],"study_design_scores_gemma":[0.00008673442,0.000103028,0.9767326,0.000025499192,0.000018701729,0.000010370711,0.000054775504,0.020113815,0.00023979289,0.0025015413,0.000030330872,0.00008282654],"about_ca_topic_score_codex":0.115430705,"about_ca_topic_score_gemma":0.037844524,"teacher_disagreement_score":0.8732422,"about_ca_system_score_codex":0.0000033255685,"about_ca_system_score_gemma":0.000010654211,"threshold_uncertainty_score":0.9797123},"labels":[],"label_agreement":null},{"id":"W2141246226","doi":"10.1190/int-2014-0107.1","title":"Analysis of petrophysical properties of rocks from the Bathurst Mining Camp: Constraints on gravity and magnetic modeling","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Resources Canada","keywords":"Geology; Lithology; Syncline; Petrophysics; Anticline; Remanence; Geophysics; Rock magnetism; Petrology; Seismology; Magnetization; Magnetic field; Tectonics","score_opus":0.014775153635269132,"score_gpt":0.21995968644920347,"score_spread":0.20518453281393434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141246226","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":[0.98031,0.000093748065,0.019080108,0.0000506043,0.000033506636,0.000045603392,0.000020246885,0.0000050261965,0.0003611565],"genre_scores_gemma":[0.99935275,0.0000028588665,0.0005435656,0.000058001573,0.000021116954,5.7178534e-7,0.0000142568215,0.0000010178122,0.000005843413],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929726,0.00016506747,0.00016836027,0.00013488535,0.00014500633,0.00008942598],"domain_scores_gemma":[0.99928457,0.0004836788,0.00006699185,0.00008959009,0.000042837833,0.000032337433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014651867,0.00006515687,0.00019409198,0.00004843235,0.00003513529,0.000013908308,0.0000804499,0.000025392395,0.000096183256],"category_scores_gemma":[0.000233599,0.00003802891,0.00006499716,0.0002151673,0.00011455456,0.000040537223,0.000005994583,0.000067205816,0.0000048597576],"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":[0.00014975789,0.000028741371,0.03983095,0.000012487206,0.00011100115,1.8601878e-7,0.0017746233,0.06914291,0.0026068196,0.000045975783,0.0000015094473,0.886295],"study_design_scores_gemma":[0.000052336767,0.00021482405,0.22572239,0.000025721769,0.00013817915,8.977357e-8,0.00010550411,0.7721863,0.0006364042,0.00087921927,9.578534e-7,0.000038096074],"about_ca_topic_score_codex":0.0016804177,"about_ca_topic_score_gemma":0.00029201942,"teacher_disagreement_score":0.88625693,"about_ca_system_score_codex":0.0000011797448,"about_ca_system_score_gemma":0.0000070207793,"threshold_uncertainty_score":0.25403002},"labels":[],"label_agreement":null},{"id":"W2146648217","doi":"10.1190/int-2014-0188.1","title":"Interpretation of borehole gravity data of the Lalor volcanogenic massive sulfide deposit, Snow Lake, Manitoba, Canada","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Felsic; Geology; Mafic; Geochemistry; Gneiss; Volcanogenic massive sulfide ore deposit; Rhyolite; Lithology; Volcanic rock; Petrology; Batholith; Volcano; Tectonics; Seismology; Metamorphic rock","score_opus":0.021754797186401664,"score_gpt":0.2118792387447066,"score_spread":0.19012444155830494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146648217","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":[0.99558246,0.00020425527,0.0013285631,0.00036218908,0.00024257973,0.0001119162,0.00046032298,0.0000075722155,0.0017001462],"genre_scores_gemma":[0.9988391,0.000004105632,0.00027556793,0.0001694195,0.000022279773,9.2838434e-7,0.00064528605,0.0000015527044,0.000041753214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988797,0.000116620075,0.00032507308,0.00021133923,0.00033683213,0.00013046146],"domain_scores_gemma":[0.9989775,0.00017642355,0.00023496251,0.0003523896,0.0001801231,0.000078622164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018748398,0.00009597921,0.0001833194,0.00003080657,0.000032315245,0.000013223898,0.0005534961,0.000042098436,0.00025074184],"category_scores_gemma":[0.0005357106,0.000060601797,0.00006259175,0.00024648022,0.00009563822,0.0001632979,0.000066641594,0.00009537446,0.000010122784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018401424,0.000027018797,0.95771545,0.000030151223,0.000091230926,0.0000035858002,0.00044242453,0.009066835,0.0006504142,0.000022347405,0.001525607,0.030240947],"study_design_scores_gemma":[0.00021193529,0.00009374744,0.69767344,0.00006820628,0.00012913947,0.000004464358,0.00056373887,0.2861014,0.009000351,0.005787594,0.00022944855,0.00013653345],"about_ca_topic_score_codex":0.63601565,"about_ca_topic_score_gemma":0.98665047,"teacher_disagreement_score":0.3506348,"about_ca_system_score_codex":0.000012704249,"about_ca_system_score_gemma":0.00013757472,"threshold_uncertainty_score":0.36640814},"labels":[],"label_agreement":null},{"id":"W2152293121","doi":"10.1190/int-2013-0144.1","title":"A case history of experimental time-lapse 3C 2D seismic reflection data for reservoir monitoring at Cold Lake, Alberta, Canada","year":2014,"lang":"en","type":"article","venue":"Interpretation","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":"Penn West Exploration (Canada); University of Calgary","funders":"","keywords":"Steam injection; Geology; Coring; Reflection (computer programming); Seismology; Petroleum engineering; Drilling; Materials science","score_opus":0.02817627316242514,"score_gpt":0.2550613513787657,"score_spread":0.22688507821634055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152293121","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":[0.987692,0.00035722397,0.0019359306,0.00015584369,0.0015963017,0.000277509,0.00015742567,0.000060875143,0.007766886],"genre_scores_gemma":[0.9939751,0.000002427556,0.0007282688,0.00028157732,0.00007208066,0.000004445116,0.0003472403,0.000004952373,0.004583904],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925286,0.00007290679,0.00018741202,0.00022079403,0.00014025129,0.00012578213],"domain_scores_gemma":[0.9992631,0.000246578,0.00011531822,0.0002839086,0.000042008356,0.000049076432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024384432,0.000088184286,0.00011675609,0.000058819252,0.00007190885,0.000010754713,0.00017857249,0.00003924266,0.00024258751],"category_scores_gemma":[0.00011507743,0.000084859435,0.000025085406,0.000043028904,0.00003563018,0.00027491013,0.000022819657,0.000055603647,0.0000142909685],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010397111,0.00004498303,0.020816421,0.0001653589,0.00007440467,0.00004550183,0.0036813174,0.002439784,0.01880047,0.000009803963,0.90685093,0.04603128],"study_design_scores_gemma":[0.00022008076,0.00022509809,0.000098145465,0.000049716084,0.000017680932,0.00007476494,0.00011263848,0.7664177,0.04880214,0.0000128987085,0.18385309,0.00011606931],"about_ca_topic_score_codex":0.6625168,"about_ca_topic_score_gemma":0.29260695,"teacher_disagreement_score":0.7639779,"about_ca_system_score_codex":0.00013769517,"about_ca_system_score_gemma":0.00010776633,"threshold_uncertainty_score":0.7203011},"labels":[],"label_agreement":null},{"id":"W2162836367","doi":"10.1190/int-2013-0187.1","title":"Paleokarst in the Grosmont Formation and reservoir implications, Saleski, Alberta, Canada","year":2014,"lang":"en","type":"article","venue":"Interpretation","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Oil Sands Technology and Research Authority","funders":"","keywords":"Geology; Sinkhole; Karst; Facies; Dolostone; Breccia; Dolomite; Dolomitization; Cretaceous; Stylolite; Carbonate; Evaporite; Geomorphology; Clastic rock; Carbonate rock; Geochemistry; Sedimentary rock; Petrology; Diagenesis; Paleontology; Structural basin","score_opus":0.006332478829192596,"score_gpt":0.1918084463351467,"score_spread":0.1854759675059541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162836367","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":[0.9852788,0.00014743622,0.0006676374,0.0032923487,0.00011391011,0.00015284111,0.0000083063005,0.000005678966,0.01033308],"genre_scores_gemma":[0.99899125,0.000008537416,0.000032893808,0.00079291686,0.00002865673,0.000005410483,0.00009377469,0.0000011257355,0.000045458266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993987,0.00012959639,0.00017461131,0.0001009421,0.00008720383,0.00010891748],"domain_scores_gemma":[0.9994884,0.00029296568,0.00006075494,0.0001157625,0.000017272745,0.00002485916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028079693,0.00005399001,0.00006986912,0.000036039535,0.0000744346,0.000035501816,0.000106997795,0.000029205652,0.000046959754],"category_scores_gemma":[0.00006974646,0.0000371055,0.000010275017,0.00007254056,0.000023952178,0.00017705774,0.0000036146287,0.00005948381,0.000019764166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002021921,0.000004568291,0.9589515,0.000024620042,0.000004051679,9.710818e-7,0.003352058,0.00127075,0.000013669733,0.0018099762,0.0018273494,0.03272028],"study_design_scores_gemma":[0.00009158116,0.00003312423,0.9072654,0.000013835661,0.0000029235543,0.00002380462,0.00025527045,0.08239641,0.0000054655175,0.0016574733,0.008203277,0.00005139123],"about_ca_topic_score_codex":0.75232565,"about_ca_topic_score_gemma":0.99495465,"teacher_disagreement_score":0.24262896,"about_ca_system_score_codex":0.00000694842,"about_ca_system_score_gemma":0.000026788097,"threshold_uncertainty_score":0.24932362},"labels":[],"label_agreement":null},{"id":"W2165909314","doi":"10.1190/int2014-1213-spseintro.1","title":"Introduction to special section: Pitfalls in the structural interpretation of seismic data","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling 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":"Haliburton Forest & Wild Life Reserve","funders":"","keywords":"Section (typography); Interpretation (philosophy); Geology; Philosophy; Epistemology; Seismology; Computer science; Linguistics","score_opus":0.02939341394246663,"score_gpt":0.2606238728368739,"score_spread":0.23123045889440724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165909314","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":[0.951418,0.000057919504,0.041307095,0.0034126854,0.0017552003,0.00013931001,0.000032546457,0.000016716258,0.0018605576],"genre_scores_gemma":[0.9962144,0.0000022497659,0.0006410866,0.0002788244,0.0024261351,8.8569476e-7,0.00039453752,0.0000012228567,0.000040672097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900824,0.00016925498,0.00025645897,0.0002356115,0.00022870523,0.000101748774],"domain_scores_gemma":[0.99947876,0.00006194156,0.00007915339,0.00026162804,0.00007937681,0.000039145023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060059817,0.00007162077,0.000113114555,0.000119481374,0.000029333547,0.00004220602,0.00032847575,0.000032643755,0.00026649906],"category_scores_gemma":[0.0003354756,0.00004774291,0.000027149868,0.00033540546,0.000025501166,0.0003201991,0.000017037028,0.0001079545,0.0000981672],"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":[0.0002272708,0.000009734359,0.031523366,0.0000062661998,0.000013119077,0.0000014007239,0.0062749153,0.7994953,0.000016291357,0.000023873537,0.0057045734,0.1567039],"study_design_scores_gemma":[0.000100571335,0.00012787343,0.04936358,0.000010992158,0.000013701585,0.0000075865755,0.001207522,0.9464344,0.000012743248,0.0012127573,0.0014433978,0.000064886735],"about_ca_topic_score_codex":0.0016438661,"about_ca_topic_score_gemma":0.005499458,"teacher_disagreement_score":0.15663901,"about_ca_system_score_codex":0.000008182802,"about_ca_system_score_gemma":0.000021029267,"threshold_uncertainty_score":0.30688265},"labels":[],"label_agreement":null},{"id":"W2178558917","doi":"10.1190/int-2015-0002.1","title":"SV-P extraction and imaging for far-offset vertical seismic profile data","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"Tsinghua University","keywords":"Geology; Offset (computer science); Geophone; Vertical seismic profile; Seismology; Geodesy; Computer science","score_opus":0.04042905625513719,"score_gpt":0.2976381962082659,"score_spread":0.2572091399531287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178558917","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":[0.21748939,0.0011767556,0.7653382,0.0047952477,0.0014001746,0.0006462808,0.000344686,0.00041989156,0.008389421],"genre_scores_gemma":[0.9915223,0.000013373466,0.006087501,0.001464103,0.00005640797,0.0000025552124,0.0007725225,0.0000030059123,0.00007821237],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942094,0.000033212968,0.00012035663,0.00020633516,0.000104914376,0.000114255694],"domain_scores_gemma":[0.9996035,0.00008949018,0.000029088771,0.0001586508,0.00005210217,0.00006717176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000316878,0.00006443143,0.00006605485,0.000056052835,0.000055386656,0.000071002585,0.00012401542,0.000026674954,0.00006173413],"category_scores_gemma":[0.00018298888,0.000056709636,0.000012915603,0.000045082917,0.00004353592,0.00068623334,0.000015461974,0.00006287888,0.000056216842],"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":[0.00014252876,0.0000096194335,0.01838476,0.000017988867,0.000007576133,0.0000019013319,0.0004797056,0.00009222824,0.00015969602,0.000029009845,0.09259004,0.88808495],"study_design_scores_gemma":[0.00016941119,0.000052814772,0.0027080174,0.000018954934,0.000012771745,0.00002272049,0.00029289583,0.95799226,0.000844695,0.0014583521,0.036351178,0.00007596084],"about_ca_topic_score_codex":0.00088015746,"about_ca_topic_score_gemma":0.000017796958,"teacher_disagreement_score":0.9579,"about_ca_system_score_codex":0.000006542847,"about_ca_system_score_gemma":0.000034919165,"threshold_uncertainty_score":0.23125517},"labels":[],"label_agreement":null},{"id":"W2191420995","doi":"10.1190/int-2014-0100.1","title":"Fluvial reservoirs stacked in thin deltaic successions of the Lower Cretaceous Grand Rapids Formation, east-central Alberta, Canada","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Petroleum Technology Research Centre","keywords":"Fluvial; Geology; Facies; Paleontology; Sedimentary depositional environment; Cretaceous; Marine transgression; Sedimentology; Structural basin","score_opus":0.013222603744981343,"score_gpt":0.21162032561689448,"score_spread":0.19839772187191312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191420995","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":[0.99137783,0.0002235323,0.00059683213,0.0010443473,0.00058346137,0.00017020338,0.000033960332,0.000007420565,0.0059623867],"genre_scores_gemma":[0.99947476,0.0000071128,0.00008615281,0.00017101268,0.000016340946,0.000002167401,0.00007877952,0.0000014242581,0.0001622536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901605,0.000119102864,0.00031971163,0.00009382593,0.00026854177,0.00018276999],"domain_scores_gemma":[0.9994351,0.00012137656,0.000118547265,0.000116300376,0.0001270496,0.00008159655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019752704,0.00008201059,0.000108348606,0.000048291116,0.00008716362,0.000033273405,0.00022749435,0.000046597663,0.00042347834],"category_scores_gemma":[0.00037969823,0.000050372768,0.00003187385,0.00027909354,0.0000539945,0.0004958239,0.000011071035,0.00011116657,0.000012690053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004784781,0.00007089412,0.80917084,0.00007821784,0.000021162656,0.0000044090475,0.017769268,0.15497011,0.000024808478,0.00015109536,0.007210093,0.010050643],"study_design_scores_gemma":[0.0011941588,0.00035378602,0.5756931,0.00019184923,0.000027111066,0.000020469586,0.0041283243,0.39944598,0.0006879064,0.0062612477,0.011681618,0.0003144698],"about_ca_topic_score_codex":0.37747887,"about_ca_topic_score_gemma":0.9553507,"teacher_disagreement_score":0.57787186,"about_ca_system_score_codex":0.00001771096,"about_ca_system_score_gemma":0.0003099588,"threshold_uncertainty_score":0.62666655},"labels":[],"label_agreement":null},{"id":"W2192693082","doi":"10.1190/int-2015-0083.1","title":"3D modeling of buried valley geology using airborne electromagnetic data","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada; Istituto Nazionale di Geofisica e Vulcanologia; Università di Bologna","keywords":"Geology; Borehole; Lithology; Hydrogeology; Aquifer; Electrical resistivity tomography; Terrain; Inversion (geology); Geophysics; Groundwater; Remote sensing; Geomorphology; Seismology; Petrology; Geotechnical engineering; Electrical resistivity and conductivity; Tectonics; Cartography","score_opus":0.0730523484523801,"score_gpt":0.2741770317448409,"score_spread":0.20112468329246083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192693082","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":[0.806585,0.0005536806,0.19117716,0.00013195536,0.00010274829,0.000040185485,0.000011264337,0.000023970228,0.0013740105],"genre_scores_gemma":[0.98698676,0.000010263376,0.012607908,0.000068128604,0.00005007525,1.7338311e-7,0.00025299945,0.000001686619,0.000021992591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915045,0.000086534834,0.0002385846,0.0002222409,0.00015139514,0.00015080853],"domain_scores_gemma":[0.9994659,0.00004335273,0.00007625121,0.00024838012,0.000102204685,0.00006393669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003324309,0.00007257759,0.0001535625,0.00007601614,0.000028035149,0.000012872216,0.00026244976,0.0000547337,0.0002258488],"category_scores_gemma":[0.00020984374,0.000059332837,0.000027929515,0.00013604623,0.000031265907,0.0001539088,0.00002363328,0.000074122465,0.000046063233],"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":[0.0000465114,0.000008184137,0.0070686666,0.0000045364923,0.000018329845,0.0000015865397,0.00018291805,0.98022217,0.00008080025,0.000007795625,0.000017709172,0.0123408055],"study_design_scores_gemma":[0.00011641346,0.00014721091,0.00096773775,0.000010632781,0.000043523978,0.000005454158,0.00007797442,0.996643,0.000012201393,0.0018898878,0.000018380002,0.000067596164],"about_ca_topic_score_codex":0.004504998,"about_ca_topic_score_gemma":0.00070557895,"teacher_disagreement_score":0.18040174,"about_ca_system_score_codex":0.0000029684038,"about_ca_system_score_gemma":0.0000440717,"threshold_uncertainty_score":0.681024},"labels":[],"label_agreement":null},{"id":"W2194101387","doi":"10.1190/int-2015-0017.1","title":"Seismic attributes for description of reef growth and channel system evolution — Case study of Intisar E, Libya","year":2015,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"TU Graz, Internationale Beziehungen und Mobilitätsprogramme","keywords":"Reef; Geology; Trough (economics); Seafloor spreading; Facies; Paleontology; Channel (broadcasting); Debris; Turbidity current; Structural basin; Geomorphology; Oceanography; Sedimentary depositional environment","score_opus":0.034931268103648175,"score_gpt":0.239765192103573,"score_spread":0.20483392399992484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2194101387","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":[0.90165776,0.00015430519,0.097415775,0.00003286796,0.00021292454,0.0003246119,0.000032999636,0.00004780514,0.00012093449],"genre_scores_gemma":[0.99923277,0.0000029617636,0.00067261996,0.000023687757,0.00001897371,0.000004333447,0.000030281115,0.0000025271418,0.000011862645],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935776,0.00007636918,0.00024438062,0.0001299471,0.000114507784,0.000077037985],"domain_scores_gemma":[0.9994767,0.00006960167,0.00016354956,0.0000777786,0.00017357079,0.00003883472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033856434,0.000066875546,0.00013611253,0.00013922426,0.000037300666,0.000014344288,0.00005427367,0.00003769964,0.0000017177186],"category_scores_gemma":[0.00010130931,0.000059546135,0.000022995784,0.000106044135,0.0000387744,0.0002996621,0.000007117449,0.00003657147,0.0000013260852],"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":[0.0015017365,0.00040361672,0.8432628,0.0018109898,0.00020414364,0.000069426875,0.06896191,0.0063485703,0.0011326638,0.00031397073,0.008594348,0.06739582],"study_design_scores_gemma":[0.0005845492,0.0014198356,0.008644614,0.00013765229,0.000050275106,0.00019523049,0.034670506,0.95092726,0.0024318886,0.00083419535,0.000014509597,0.00008947533],"about_ca_topic_score_codex":0.012890641,"about_ca_topic_score_gemma":0.00008547626,"teacher_disagreement_score":0.9445787,"about_ca_system_score_codex":0.000011763918,"about_ca_system_score_gemma":0.00002042105,"threshold_uncertainty_score":0.9936826},"labels":[],"label_agreement":null},{"id":"W2298006042","doi":"10.1190/int-2015-0109.1","title":"Reservoir characterization using microseismic facies analysis integrated with surface seismic attributes","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Cenovus Energy; Microseismic Industry Consortium; University of Calgary","keywords":"Microseism; Facies; Geology; Reservoir modeling; Seismology; Sedimentary depositional environment; Curvature; Petrology; Geomorphology; Geotechnical engineering; Geometry; Structural basin","score_opus":0.015080759619761458,"score_gpt":0.2248578074286089,"score_spread":0.20977704780884743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298006042","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":[0.66473544,0.000028651191,0.33424205,0.00046631697,0.000067712754,0.00007892122,0.00016353319,0.00012561781,0.00009175782],"genre_scores_gemma":[0.995818,0.000027871283,0.0024844434,0.00058784557,0.00001631727,6.577563e-7,0.0005618994,0.000005389171,0.00049757404],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990036,0.00010771358,0.00022412918,0.00027537643,0.00018260792,0.00020656215],"domain_scores_gemma":[0.999361,0.00010084243,0.00015297349,0.00018152146,0.00015019522,0.000053476568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019726511,0.00014827562,0.00018714016,0.00023101504,0.00011559488,0.00009502117,0.00016218652,0.00006018231,0.00047772998],"category_scores_gemma":[0.000042248666,0.00008942702,0.000067646804,0.00066791085,0.000106733765,0.0006631019,0.00000854235,0.00007167517,0.00008359576],"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":[0.00039866255,0.000024431072,0.6962757,0.00002372586,0.00040201523,0.000009667108,0.0011513135,0.02279687,0.15843377,0.0000076253496,0.0006788304,0.11979735],"study_design_scores_gemma":[0.0002118097,0.00011218423,0.080520086,0.00013674809,0.0001514896,0.000010725111,0.00016784038,0.867024,0.048126735,0.00010114239,0.0031995564,0.00023766194],"about_ca_topic_score_codex":0.002899918,"about_ca_topic_score_gemma":0.000082830076,"teacher_disagreement_score":0.84422714,"about_ca_system_score_codex":0.000027815095,"about_ca_system_score_gemma":0.00004533841,"threshold_uncertainty_score":0.5230808},"labels":[],"label_agreement":null},{"id":"W2312986356","doi":"10.1190/int-2015-0149.1","title":"Target-oriented data conditioning for prestack inversion in an unconventional reservoir: A Canadian case study","year":2016,"lang":"en","type":"article","venue":"Interpretation","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":"University of East Anglia","keywords":"Prestack; Inversion (geology); Algorithm; Synthetic data; Workflow; Geology; Seismic inversion; Computer science; Seismology; Mathematics; Geometry","score_opus":0.040565769048863366,"score_gpt":0.2984310367046733,"score_spread":0.2578652676558099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312986356","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":[0.9881852,0.00001987655,0.009384866,0.00069208705,0.00033230966,0.0004938738,0.0005225341,0.000056226432,0.0003129905],"genre_scores_gemma":[0.9964511,0.000001410007,0.001967798,0.00034966724,0.00003390759,0.0000073324345,0.0010913189,0.000003404596,0.000094082454],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990942,0.00011807313,0.0001901351,0.0002986465,0.00012240795,0.00017654286],"domain_scores_gemma":[0.9993402,0.00014321267,0.000060116614,0.00026230424,0.0000831857,0.00011103183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045452546,0.00007678072,0.00007941279,0.00022890583,0.00013072706,0.00004363437,0.0002116216,0.00003805266,0.0005633629],"category_scores_gemma":[0.00017133528,0.000060183585,0.000017914705,0.00011392418,0.000038839364,0.0011156136,0.0000142669705,0.00005433451,0.000030569125],"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":[0.0001570794,0.00009422296,0.9175857,0.000015998743,0.00002104521,0.00031888625,0.003156336,0.00027411562,0.000041278512,0.000046599467,0.019106096,0.059182685],"study_design_scores_gemma":[0.0015470473,0.0009755143,0.027123464,0.00017734239,0.000022206563,0.000079252946,0.00875572,0.9451931,0.00025749917,0.0023103813,0.013260091,0.000298375],"about_ca_topic_score_codex":0.26668698,"about_ca_topic_score_gemma":0.29603562,"teacher_disagreement_score":0.944919,"about_ca_system_score_codex":0.000033605396,"about_ca_system_score_gemma":0.00013424776,"threshold_uncertainty_score":0.7381962},"labels":[],"label_agreement":null},{"id":"W2327987405","doi":"10.1190/int-2015-0139.1","title":"Advanced methods for the evaluation of a hybrid-type unconventional play: The Bakken petroleum system","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University; Hess Corporation","keywords":"Petrophysics; Geology; Well logging; Formation evaluation; Borehole; Petrology; Petroleum engineering; Reservoir modeling; Wireline; Unconventional oil; Geomechanics; Oil field; Tight oil; Oil shale; Logging; Petroleum reservoir; Hydraulic fracturing; Seismic inversion; Porosity; Geotechnical engineering; Paleontology","score_opus":0.03158159109341704,"score_gpt":0.33377483084038106,"score_spread":0.30219323974696405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327987405","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":[0.07608911,0.0009014271,0.91686684,0.002072955,0.0012229822,0.0005813082,0.000048510254,0.00006975377,0.0021471367],"genre_scores_gemma":[0.99444306,0.000011810518,0.005142365,0.0002081812,0.000035521974,0.000015186722,0.000022616547,0.0000022135177,0.00011904899],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991297,0.00027698427,0.00017698914,0.00011166384,0.0002212441,0.00008340446],"domain_scores_gemma":[0.99839836,0.0010648152,0.0001386931,0.00014365221,0.00024045905,0.000013992884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021890553,0.000057642814,0.00007319357,0.00003960938,0.00009760328,0.000016694426,0.00016564225,0.000014689214,0.00021454852],"category_scores_gemma":[0.00034707182,0.000025093805,0.00006383222,0.000060059996,0.000064263,0.00015067284,0.0000052198816,0.00003279412,0.000020138443],"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":[0.000110967434,0.000002684849,0.00071532285,0.000012040011,0.000028042305,4.7575192e-8,0.00015080113,0.0014730206,0.0006872814,0.00028402382,0.0014328471,0.99510294],"study_design_scores_gemma":[0.0003032371,0.00010314142,0.0034384835,0.00010222997,0.000073779374,0.0000071046193,0.0003696745,0.9724432,0.01295427,0.0041426127,0.0060103033,0.00005192302],"about_ca_topic_score_codex":0.0001462996,"about_ca_topic_score_gemma":0.000009234771,"teacher_disagreement_score":0.995051,"about_ca_system_score_codex":0.00001712925,"about_ca_system_score_gemma":0.000055031687,"threshold_uncertainty_score":0.23491558},"labels":[],"label_agreement":null},{"id":"W2404670212","doi":"10.1190/int-2014-0190.1","title":"Geophysical signature of the Victoria property, vectoring toward deep mineralization in the Sudbury Basin","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"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; Borehole; Structural basin; Mineral exploration; Geochemistry; Drilling; Geophysics; Mineralization (soil science); Mining engineering; Petrology; Geomorphology; Paleontology","score_opus":0.011010623893834379,"score_gpt":0.2290587050409432,"score_spread":0.21804808114710883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404670212","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":[0.98105204,0.00012118498,0.013795436,0.0023968387,0.0006507878,0.0002778664,0.000006720121,0.000016482674,0.0016826194],"genre_scores_gemma":[0.99940157,0.0000036419617,0.00016765062,0.00018338364,0.00010967105,0.0000029261653,0.000004636949,0.0000018407821,0.00012469015],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99892074,0.00040073,0.00018083508,0.0001346149,0.00022747285,0.00013559131],"domain_scores_gemma":[0.9993157,0.0004293599,0.000070962735,0.0001225982,0.000044494718,0.000016934779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683066,0.00007750327,0.00010770966,0.000029494384,0.000035819936,0.00001895722,0.00023872283,0.000049972117,0.00009173253],"category_scores_gemma":[0.00031370408,0.00002596476,0.00006157417,0.0003706222,0.00004495126,0.00014340559,0.000009037148,0.00010277129,0.00002286911],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109114335,0.00005224778,0.0920311,0.000026711738,0.000011645625,0.0000013257833,0.0028991913,0.0007424424,0.009034687,0.00069189863,0.00010970607,0.8942899],"study_design_scores_gemma":[0.0001338013,0.00010220068,0.9756757,0.00005890661,0.000009055652,0.0000010089933,0.000036078156,0.013464137,0.0023311686,0.0075928173,0.00052493694,0.00007020939],"about_ca_topic_score_codex":0.0010545398,"about_ca_topic_score_gemma":0.00028492484,"teacher_disagreement_score":0.8942197,"about_ca_system_score_codex":0.0000055706023,"about_ca_system_score_gemma":0.00001551037,"threshold_uncertainty_score":0.15941557},"labels":[],"label_agreement":null},{"id":"W2416388913","doi":"10.1190/int-2015-0162.1","title":"Spatial and temporal evolution of Cenozoic carbonate platforms on the continental margins of the South China Sea: Response to opening of the ocean basin","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":49,"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 Windsor","funders":"National Natural Science Foundation of China","keywords":"Geology; Tectonic subsidence; Carbonate; Paleontology; Carbonate platform; Tectonics; Cenozoic; Subsidence; Passive margin; Foreland basin; Continental margin; Late Miocene; Horst; Rift; Facies; Structural basin","score_opus":0.00718336358060581,"score_gpt":0.18477083522118956,"score_spread":0.17758747164058375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416388913","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":[0.99746454,0.000021425762,0.00009115199,0.0016403724,0.00010230449,0.00018091906,0.00008163103,0.000002761676,0.00041491035],"genre_scores_gemma":[0.9998387,6.769172e-7,0.000008976417,0.000051051717,0.000011613006,5.2900515e-7,0.0000011483968,8.9779536e-7,0.00008638446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994285,0.00009539327,0.0001494832,0.00008821783,0.00015900354,0.0000794138],"domain_scores_gemma":[0.9994937,0.0002464221,0.0001245526,0.0000903692,0.000028611586,0.000016329192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023118821,0.000059995975,0.00010395912,0.000015369296,0.00007121196,0.0000045837496,0.0001395857,0.000020216716,0.0000439069],"category_scores_gemma":[0.0002582189,0.000019432933,0.00005047605,0.000090913425,0.00017437413,0.000041987936,0.000041048872,0.000046381723,0.0000047227336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009957693,0.000009468706,0.9908517,0.0000062633044,0.000011960405,1.0576316e-7,0.0019301085,0.00015903465,0.0008643868,0.0001296998,0.000011219857,0.005030285],"study_design_scores_gemma":[0.000151028,0.00023846077,0.99362737,0.00007615622,0.000007766917,3.7387858e-7,0.0002435649,0.0024008413,0.0018753234,0.0013335577,0.000014028867,0.00003153982],"about_ca_topic_score_codex":0.002904569,"about_ca_topic_score_gemma":0.00089720194,"teacher_disagreement_score":0.004998745,"about_ca_system_score_codex":0.0000041663147,"about_ca_system_score_gemma":0.000011504063,"threshold_uncertainty_score":0.4390859},"labels":[],"label_agreement":null},{"id":"W2417982911","doi":"10.1190/int-2015-0221.1","title":"Improve impedance inversion by adopting seismic sedimentary-guided a priori model","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Petro-Canada","funders":"PetroChina Company Limited","keywords":"Geology; Facies; A priori and a posteriori; Inversion (geology); Seismic inversion; Kriging; Sedimentary depositional environment; Lithology; Regional geology; Sedimentology; Structural basin; Geomorphology; Seismology; Paleontology; Tectonics; Computer science; Machine learning; Volcanism; Azimuth; Geometry","score_opus":0.00987958931446732,"score_gpt":0.22655207986156362,"score_spread":0.2166724905470963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417982911","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":[0.72201973,0.00019455556,0.27017802,0.0024283044,0.0005227027,0.0002384916,0.00011634654,0.00032921124,0.003972667],"genre_scores_gemma":[0.98938334,0.00005337891,0.0048588016,0.0046386537,0.000036813,0.0000020813306,0.000053157157,0.0000053323797,0.00096842274],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990517,0.000043276763,0.00021742759,0.00027247245,0.00019827465,0.00021685688],"domain_scores_gemma":[0.9995245,0.00008289715,0.000117645744,0.00015311968,0.00004895266,0.00007292555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002049761,0.00012527939,0.00010611927,0.00007508009,0.00008911038,0.000035594177,0.00017174498,0.000058204278,0.00023887152],"category_scores_gemma":[0.000053862368,0.00008837093,0.00005291116,0.00007816511,0.000057094196,0.0006059093,0.000014812734,0.00008046724,0.00020640166],"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":[0.00007352977,0.000011133744,0.008697838,0.000017962482,0.000015676855,0.0000020266903,0.00079275586,0.0009919178,0.025844656,0.000010611234,0.11696987,0.84657204],"study_design_scores_gemma":[0.00027698308,0.0000870933,0.00015162402,0.00009746052,0.000010243662,0.0000038269177,0.00008041342,0.9515767,0.04109777,0.0008387138,0.005636334,0.00014285039],"about_ca_topic_score_codex":0.0015088206,"about_ca_topic_score_gemma":0.0000066610733,"teacher_disagreement_score":0.95058477,"about_ca_system_score_codex":0.000029726492,"about_ca_system_score_gemma":0.000036430403,"threshold_uncertainty_score":0.3603662},"labels":[],"label_agreement":null},{"id":"W2469996727","doi":"10.1190/int-2015-0191.1","title":"Assessing the workflow for regional-scale 3D geologic modeling: An example from the Sullivan time horizon, Purcell Anticlinorium East Kootenay region, southeastern British Columbia","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Paul's Hospital; College of the Rockies; Geological Survey of Canada","funders":"Université du Québec à Chicoutimi","keywords":"Workflow; Geology; Geospatial analysis; Horizon; Scale (ratio); Geologic map; Sedimentary rock; Paleontology; Database; Cartography; Geography; Remote sensing; Computer science; Geometry","score_opus":0.04464133744668252,"score_gpt":0.23429069050487603,"score_spread":0.1896493530581935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469996727","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":[0.70409983,0.00022488488,0.2934954,0.0015900672,0.00015795758,0.0001916892,0.000037409947,0.000065208624,0.00013753501],"genre_scores_gemma":[0.99643534,0.00002991125,0.0015297517,0.0005250588,0.0004014565,0.000008832996,0.0002735872,0.000007835263,0.0007882097],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821943,0.00029237056,0.00038226042,0.00051704765,0.000250455,0.00033842074],"domain_scores_gemma":[0.99853766,0.0006089179,0.00017554002,0.00038072382,0.0002013383,0.000095821175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005877009,0.00014144651,0.00022222177,0.00002074048,0.000518038,0.00075982825,0.00047851625,0.000120494704,0.00049532886],"category_scores_gemma":[0.00011431454,0.0000877359,0.00015594243,0.00013734709,0.00014958631,0.00040339562,0.000020435857,0.0001272992,0.00013051373],"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":[0.00012226947,0.0000647254,0.36718228,0.00000713421,0.00009243061,0.000008001581,0.00194691,0.11854435,0.00014863155,0.0000031879097,0.0014639159,0.51041615],"study_design_scores_gemma":[0.0002681635,0.00013443646,0.034934472,0.00010204456,0.000081264996,0.000011698214,0.0007281458,0.9558452,0.0000017616418,0.0072761765,0.00044140537,0.00017525701],"about_ca_topic_score_codex":0.07483481,"about_ca_topic_score_gemma":0.09242841,"teacher_disagreement_score":0.83730084,"about_ca_system_score_codex":0.0000052477603,"about_ca_system_score_gemma":0.000029171808,"threshold_uncertainty_score":0.931326},"labels":[],"label_agreement":null},{"id":"W2479706304","doi":"10.1190/int-2015-0216.1","title":"Near-surface geophysical surveys at the Duport gold deposit, Ontario, Canada: Relating airborne responses to small-scale geologic features","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Geology; Magnetic anomaly; Magnetic survey; Magnetite; Geophysics; Magnetic susceptibility; Ultramafic rock; Mineralogy; Geophysical survey; Geochemistry; Seismology; Paleontology","score_opus":0.01136876229442639,"score_gpt":0.21792472751869027,"score_spread":0.2065559652242639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479706304","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":[0.9922117,0.000103849496,0.002061483,0.0026933902,0.00031575488,0.00021120667,0.000030084359,0.00003936041,0.0023332003],"genre_scores_gemma":[0.9810156,0.0000019741947,0.0014563187,0.0007993087,0.000060632454,0.0000035188443,0.000022133932,0.0000046360183,0.016635874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792963,0.00074572593,0.00025263973,0.00037375093,0.00030417036,0.00039407605],"domain_scores_gemma":[0.9973864,0.0020417639,0.00009209755,0.00023609205,0.00007266977,0.00017097729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006384587,0.00017730833,0.0002065657,0.000014335036,0.00023628915,0.000058996236,0.00026047358,0.00007604591,0.00057340885],"category_scores_gemma":[0.00048824667,0.00009202744,0.00007643547,0.00025265914,0.00008253324,0.00010323725,0.000042536147,0.00021319068,0.00025489763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039960563,0.000018388992,0.6073173,0.0000055721835,0.00003058829,0.000022234868,0.0006093389,0.002847613,0.0013570478,0.0000146362945,0.0025550025,0.38482267],"study_design_scores_gemma":[0.00010757472,0.00025248478,0.99439335,0.000027550876,0.000017146553,0.000011732578,0.000016349986,0.001762334,0.0015351393,0.00048646206,0.0012224474,0.00016743728],"about_ca_topic_score_codex":0.94912815,"about_ca_topic_score_gemma":0.99330115,"teacher_disagreement_score":0.38707602,"about_ca_system_score_codex":0.00008649421,"about_ca_system_score_gemma":0.00021900573,"threshold_uncertainty_score":0.6278425},"labels":[],"label_agreement":null},{"id":"W2481860659","doi":"10.1190/int-2016-0614-spseintro.1","title":"Introduction to special section: Building complex and realistic geological models from sparse data","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mira Geoscience (Canada); BHP (Canada); Geological Survey of Canada","funders":"","keywords":"Section (typography); Geology; Special section; Computer science; Engineering; Engineering physics","score_opus":0.06724730941999438,"score_gpt":0.263421018546267,"score_spread":0.1961737091262726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481860659","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":[0.49705547,0.000036206922,0.49475384,0.0063063926,0.0006630762,0.000060755818,0.00017819481,0.000047050235,0.00089900376],"genre_scores_gemma":[0.9871983,0.000022268368,0.0071945703,0.0002156407,0.0049172705,6.213911e-7,0.00038199796,0.0000013732923,0.00006798712],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990844,0.000074090436,0.00017197111,0.00041792085,0.0001254745,0.00012615828],"domain_scores_gemma":[0.9994875,0.00012747357,0.000044534878,0.00022095662,0.000038347298,0.00008118786],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018821063,0.00008010311,0.000121977,0.00005649597,0.00008085542,0.000050575578,0.00015827735,0.000051103132,0.0032236176],"category_scores_gemma":[0.00022501031,0.00004993896,0.000018755196,0.00009263663,0.000041346666,0.00029032904,0.000036049558,0.000053293898,0.00014675094],"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":[0.00036841474,0.000022975899,0.02966066,0.00000522668,0.00005829235,0.000008263818,0.00039365553,0.2820547,0.0011241757,0.00054735737,0.018591424,0.66716486],"study_design_scores_gemma":[0.0001109277,0.00008708572,0.06781757,0.000016415406,0.000031479674,0.0000058442697,0.000038288556,0.91461474,0.000010985911,0.012943823,0.00421168,0.00011117292],"about_ca_topic_score_codex":0.0017292184,"about_ca_topic_score_gemma":0.0019680527,"teacher_disagreement_score":0.6670537,"about_ca_system_score_codex":0.000005100671,"about_ca_system_score_gemma":0.000005455985,"threshold_uncertainty_score":0.9976876},"labels":[],"label_agreement":null},{"id":"W2494440777","doi":"10.1190/int-2015-0135.1","title":"Hydrocarbon detection for Ordovician carbonate reservoir using amplitude variation with offset and spectral decomposition","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"PetroChina Company Limited","keywords":"Carbonate; Geology; Amplitude; Carbonate rock; Mineralogy; Saturation (graph theory); Attenuation; Brine; Sedimentary rock; Optics; Geochemistry; Chemistry","score_opus":0.010531732662778882,"score_gpt":0.2404658152583929,"score_spread":0.22993408259561401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494440777","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":[0.7007431,0.000025534946,0.29826283,0.00027276936,0.000099373916,0.00016249952,0.000015615882,0.00006919982,0.00034906587],"genre_scores_gemma":[0.99338543,0.000008104758,0.0062723276,0.0002281798,0.00005078778,0.0000035373314,0.00003087042,0.000004474214,0.000016262833],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993979,0.00004482371,0.00013023023,0.00019364593,0.0001038759,0.00012957874],"domain_scores_gemma":[0.9996586,0.00009751299,0.00008521552,0.00007632101,0.0000509839,0.000031356147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017095078,0.000084278814,0.00007946578,0.00011291986,0.000106075226,0.000048239952,0.000046357334,0.00004365271,0.000020876205],"category_scores_gemma":[0.000022791804,0.000057575464,0.000021365291,0.00007742409,0.000037839895,0.0003787095,0.0000032633102,0.00003846355,0.0000034388172],"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":[0.0021875133,0.000033391163,0.078786306,0.00008198234,0.00008883204,0.000004493142,0.0020447767,0.0023005693,0.12192125,0.00022455945,0.000092366296,0.79223394],"study_design_scores_gemma":[0.00041964758,0.00038902252,0.05267823,0.00012630782,0.000031676616,0.000023931465,0.00004956818,0.92235017,0.016241184,0.007326009,0.00021543898,0.00014878978],"about_ca_topic_score_codex":0.0023071326,"about_ca_topic_score_gemma":0.0006065774,"teacher_disagreement_score":0.9200496,"about_ca_system_score_codex":0.000024715633,"about_ca_system_score_gemma":0.000016045846,"threshold_uncertainty_score":0.34877098},"labels":[],"label_agreement":null},{"id":"W2494891101","doi":"10.1190/int-2015-0175.1","title":"Detection of near-surface hydrocarbon seeps using P- and S-wave reflections","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique; Geological Survey of Canada","funders":"","keywords":"Geology; Reflection (computer programming); Amplitude; Seismology; Bedrock; Oil shale; Surface wave; Hydrocarbon; Shear (geology); P wave; Mineralogy; Geophysics; Petrology; Geomorphology; Paleontology; Chemistry; Optics","score_opus":0.02222485745677755,"score_gpt":0.24954641096153457,"score_spread":0.22732155350475702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494891101","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":[0.92166317,0.000087588654,0.075984456,0.00011296785,0.00015510262,0.000049919658,0.000005789811,0.00005411357,0.0018869061],"genre_scores_gemma":[0.9960823,0.000022702681,0.0037186907,0.00010589466,0.000012418637,1.6314839e-7,0.0000019120337,0.0000018991879,0.00005398794],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995946,0.000039315444,0.00011290379,0.000107292064,0.00007454051,0.00007132366],"domain_scores_gemma":[0.999754,0.00006164081,0.00006532816,0.00006425146,0.00003063012,0.00002413261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010682189,0.00004928237,0.00006080478,0.000030968495,0.00006357881,0.000016643877,0.000025947906,0.000033582146,0.00006535977],"category_scores_gemma":[0.00003704267,0.000035511075,0.000019861365,0.00008316063,0.00007175772,0.00021394336,0.000003833683,0.00003399769,0.0000085698875],"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":[0.00008127963,0.000006404849,0.02030435,0.000014930166,0.000015554404,0.0000010529621,0.00092870696,0.00043018462,0.27337426,0.0000107597025,0.00005857904,0.70477396],"study_design_scores_gemma":[0.00015101861,0.00016802936,0.013670683,0.000112000365,0.000017938803,0.000033262604,0.0001111049,0.7389176,0.24342833,0.0024882338,0.0007958344,0.00010599532],"about_ca_topic_score_codex":0.002053423,"about_ca_topic_score_gemma":0.0000676381,"teacher_disagreement_score":0.73848736,"about_ca_system_score_codex":0.000007094479,"about_ca_system_score_gemma":0.000012101114,"threshold_uncertainty_score":0.3104175},"labels":[],"label_agreement":null},{"id":"W2503486603","doi":"10.1190/int-2015-0204.1","title":"Inferring shear-velocity structure of the upper 200 m using cultural ambient noise at the Ngatamariki geothermal field, Central North Island, New Zealand","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Victoria University; Royal Society Te Apārangi; Monash University; Royal Society; Swarthmore College; University of Victoria","keywords":"Geology; Geothermal gradient; Seismology; Geophone; Ambient noise level; Refraction; Attenuation; Shear (geology); Reflection (computer programming); Geomorphology; Geophysics; Petrology","score_opus":0.007509368690569274,"score_gpt":0.20993306993786154,"score_spread":0.20242370124729225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503486603","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":[0.99780476,0.00005909531,0.00071358314,0.0008293076,0.00026855528,0.00007978086,0.00013624762,0.0000057804564,0.00010287135],"genre_scores_gemma":[0.9986334,0.000016975546,0.00006120408,0.00043284637,0.00009754905,8.7306965e-8,0.000028926803,0.000002207364,0.00072682207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927634,0.00005925007,0.00017323704,0.00013546876,0.0001757489,0.00017994668],"domain_scores_gemma":[0.9995816,0.00008471714,0.000106221654,0.00015160424,0.000028663078,0.00004723283],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000041829146,0.00009236271,0.000099276265,0.000019970717,0.00012896152,0.000037858157,0.0001683655,0.000040386258,0.0019317656],"category_scores_gemma":[0.00003844772,0.000037591974,0.0000987598,0.000100003,0.000054585624,0.00016932005,0.000023557297,0.00007590011,0.000010690267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056597382,0.000002120673,0.9624965,0.0000034556533,0.000033520784,4.326962e-7,0.001196593,0.014848993,0.0016293423,0.0000022714512,0.0006230439,0.019107109],"study_design_scores_gemma":[0.00019077206,0.000021045727,0.9423433,0.000042758,0.00004052502,0.000006422107,0.00010169305,0.05457908,0.0015920858,0.000113472575,0.0008888394,0.00008001539],"about_ca_topic_score_codex":0.012390715,"about_ca_topic_score_gemma":0.0260247,"teacher_disagreement_score":0.039730087,"about_ca_system_score_codex":0.000013513554,"about_ca_system_score_gemma":0.000031245516,"threshold_uncertainty_score":0.9989806},"labels":[],"label_agreement":null},{"id":"W2503731333","doi":"10.1190/int-2016-0031.1","title":"Geothermal energy potential of sedimentary formations in the Athabasca region, northeast Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Government of Alberta","keywords":"Geology; Geothermal gradient; Aquifer; Sedimentary rock; Siliciclastic; Sedimentary basin; Geochemistry; Geothermal exploration; Geothermal energy; Earth science; Petrology; Hydrology (agriculture); Geomorphology; Groundwater; Structural basin; Sedimentary depositional environment; Geophysics; Geotechnical engineering","score_opus":0.0044811859748529964,"score_gpt":0.18814382108551264,"score_spread":0.18366263511065964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503731333","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":[0.940229,0.00007151051,0.02620975,0.006589575,0.00031503683,0.00021190404,0.000035456913,0.000025292647,0.0263125],"genre_scores_gemma":[0.99833465,0.0000052534624,0.000022764938,0.0005719949,0.00006345918,0.00010152558,0.000030459738,0.000012280385,0.00085759105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991082,0.00008757551,0.00034750506,0.00012523662,0.00018376403,0.00014771968],"domain_scores_gemma":[0.99940085,0.00011373493,0.00014984797,0.0002480243,0.000059679696,0.000027881157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007191105,0.000097200995,0.00010540427,0.000056847795,0.000053860625,0.00000969635,0.00021031035,0.00003867798,0.00012803003],"category_scores_gemma":[0.000013555674,0.00005899255,0.000053296808,0.00012958492,0.000035522524,0.00016843081,0.000016221484,0.00003506876,0.000009001375],"study_design_candidate":"theoretical_or_conceptual","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":[0.00042102908,0.0005816832,0.024050068,0.00010569264,0.00037912384,0.00003707824,0.012487392,0.11219173,0.012697205,0.5925483,0.015068779,0.22943191],"study_design_scores_gemma":[0.004837363,0.00032894535,0.36996868,0.00097539875,0.00018464078,0.0003389696,0.0062833186,0.15283205,0.011376101,0.009350784,0.44204938,0.0014743671],"about_ca_topic_score_codex":0.9660778,"about_ca_topic_score_gemma":0.9554528,"teacher_disagreement_score":0.58319753,"about_ca_system_score_codex":0.000074049036,"about_ca_system_score_gemma":0.00009211438,"threshold_uncertainty_score":0.24056464},"labels":[],"label_agreement":null},{"id":"W2504661623","doi":"10.1190/int-2016-0036.1","title":"A case study showing the value of multioffset synthetic seismograms in seismic data interpretation","year":2016,"lang":"en","type":"article","venue":"Interpretation","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Penn West Exploration (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Seismogram; Synthetic seismogram; Amplitude versus offset; Geology; Seismology; Amplitude; Offset (computer science); Reflection coefficient; Anelastic attenuation factor; Seismic survey; Synthetic data; Reflection (computer programming); Cretaceous; S-wave; Poisson distribution; Geodesy; Seismic wave; Algorithm; Paleontology; Statistics; Optics; Mathematics; Physics","score_opus":0.031074856455284326,"score_gpt":0.27241772667345,"score_spread":0.24134287021816567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504661623","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":[0.9474531,0.00006683836,0.05076162,0.0006835802,0.00025191237,0.00038070657,0.0000595991,0.000060436556,0.00028221114],"genre_scores_gemma":[0.99902827,0.000008921507,0.00042829235,0.00044153965,0.000016575683,0.000004512775,0.000039143903,0.0000045234383,0.000028202307],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986765,0.00031709147,0.000361454,0.00029579437,0.00019837044,0.0001507856],"domain_scores_gemma":[0.9987603,0.0005298283,0.00013773056,0.00049865246,0.000044131637,0.000029368943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008821634,0.00011165011,0.00014100445,0.00016086867,0.00006341276,0.000037516835,0.0004128042,0.00003883503,0.000095245814],"category_scores_gemma":[0.00025915456,0.00006355937,0.00003647604,0.00019550243,0.00009841702,0.0005636832,0.000043793927,0.00010147298,0.000032648066],"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":[0.000083546474,0.00005640348,0.07904425,0.000012731563,0.000022605174,0.00010607313,0.0075017205,0.0012420387,0.00009632928,0.000006610956,0.00027531706,0.91155237],"study_design_scores_gemma":[0.0003126796,0.00016856835,0.0061772293,0.00019726595,0.000028212737,0.0002552412,0.0063574705,0.9853444,0.0003964379,0.00046905736,0.00018548386,0.00010793905],"about_ca_topic_score_codex":0.014290228,"about_ca_topic_score_gemma":0.0005859683,"teacher_disagreement_score":0.98410237,"about_ca_system_score_codex":0.000013269223,"about_ca_system_score_gemma":0.000028421662,"threshold_uncertainty_score":0.9922737},"labels":[],"label_agreement":null},{"id":"W2533581202","doi":"10.1190/int-2016-0008.1","title":"Possible occurrences of transition zones and residual oil zones below oil-water contacts in mature oil fields, southeast Saskatchewan","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Chengdu University of Technology; Petroleum Technology Research Centre","keywords":"Geology; Residual oil; Structural basin; Transition zone; Permian; Saturation (graph theory); Petroleum; Petroleum engineering; Residual; Geochemistry; Hydrology (agriculture); Paleontology; Geotechnical engineering","score_opus":0.006486887737285457,"score_gpt":0.21061309095622027,"score_spread":0.20412620321893482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533581202","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":[0.99030805,0.00029668948,0.007262517,0.0011197148,0.00014715231,0.000016117476,0.000027519789,0.000064540305,0.00075767894],"genre_scores_gemma":[0.9991326,0.0001902414,0.0001526771,0.000029564946,0.000035755,0.000013310293,0.000037856462,0.000010771329,0.0003972447],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992564,0.000050550858,0.00027815052,0.00014169443,0.00013650558,0.00013671069],"domain_scores_gemma":[0.99973416,0.000044925873,0.000034228426,0.00010036143,0.000045678287,0.00004063064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115508046,0.00011730225,0.00018327776,0.00018216553,0.000023499879,0.0000288663,0.00006526363,0.00011219427,0.00004752486],"category_scores_gemma":[0.000014384518,0.00007587138,0.000045273373,0.00010544977,0.000037564678,0.0003091757,0.000008677777,0.00008371287,0.000015030113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007318454,0.00019682109,0.0023155739,0.0018052242,0.00043133003,0.000029899003,0.25922394,0.04073238,0.22564745,0.00022535959,0.00040112756,0.46825904],"study_design_scores_gemma":[0.0076732165,0.00066063006,0.0055355844,0.0074989414,0.00048286712,0.00004521433,0.06824149,0.4789455,0.4225898,0.0051558316,0.00072161935,0.0024493118],"about_ca_topic_score_codex":0.000101254256,"about_ca_topic_score_gemma":0.002742363,"teacher_disagreement_score":0.46580973,"about_ca_system_score_codex":0.00001733562,"about_ca_system_score_gemma":0.000013190886,"threshold_uncertainty_score":0.3093945},"labels":[],"label_agreement":null},{"id":"W2535206707","doi":"10.1190/int-2016-0049.1","title":"Structurally constrained impedance inversion","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); A priori and a posteriori; Algorithm; Geology; Electrical impedance; Synthetic data; Computer science; Seismology; Physics","score_opus":0.007014357700462661,"score_gpt":0.21221282928049331,"score_spread":0.20519847158003066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535206707","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":[0.9487958,0.0000644856,0.031011876,0.0024339026,0.0004959334,0.000096533666,0.000031936994,0.00024243965,0.016827079],"genre_scores_gemma":[0.9967466,0.00001724558,0.0013640401,0.0014447989,0.000028236438,3.300407e-7,0.000013854307,0.0000014961521,0.0003833816],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952036,0.00003189114,0.00010562645,0.00012908623,0.00010469734,0.00010832665],"domain_scores_gemma":[0.99970645,0.000085145904,0.000049150887,0.000085072716,0.000034497993,0.000039686318],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008343125,0.00006153054,0.00005709613,0.000054501834,0.000043640266,0.00002022879,0.000100354955,0.000029487772,0.0016390004],"category_scores_gemma":[0.00006501063,0.000037246777,0.000029762612,0.000053576823,0.000078046105,0.00031223457,0.00000422913,0.000033094348,0.00030532837],"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":[0.000028337525,9.859803e-7,0.0190447,0.0000030657477,0.000003817101,0.0000018086142,0.0001728741,0.000007447133,0.0028633375,0.00008474811,0.0047565703,0.9730323],"study_design_scores_gemma":[0.0020921163,0.00083178753,0.20053765,0.00073063147,0.000043998276,0.00011405413,0.0009112087,0.5298858,0.15174583,0.05777103,0.054334283,0.0010015784],"about_ca_topic_score_codex":0.00034694688,"about_ca_topic_score_gemma":0.000013475526,"teacher_disagreement_score":0.97203076,"about_ca_system_score_codex":0.0000062551258,"about_ca_system_score_gemma":0.000018033777,"threshold_uncertainty_score":0.99927366},"labels":[],"label_agreement":null},{"id":"W2541429492","doi":"10.1190/int-2016-0041.1","title":"Application of bi-Gaussian S-transform in high-resolution seismic time-frequency analysis","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Yangtze University; University of Southern California","keywords":"S transform; Gaussian; Constant Q transform; Seismic trace; Short-time Fourier transform; Time–frequency analysis; Resolution (logic); Fourier transform; Wavelet transform; Algorithm; Instantaneous phase; Wavelet; Computer science; Mathematics; Discrete wavelet transform; Physics; Fourier analysis; Mathematical analysis; Artificial intelligence; Telecommunications","score_opus":0.0043853999131118196,"score_gpt":0.20950955671627036,"score_spread":0.20512415680315854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541429492","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":[0.34747118,0.00010519398,0.64657503,0.001546155,0.00007291418,0.00019439076,0.000062019404,0.00014139895,0.0038317416],"genre_scores_gemma":[0.99782485,0.000024692452,0.0017733165,0.00018172494,0.000011561572,0.0000031787542,0.000094254145,0.0000027138676,0.000083726445],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992551,0.000052324263,0.00026156043,0.0001728636,0.00013879729,0.00011935117],"domain_scores_gemma":[0.9996154,0.00006774989,0.00010596086,0.00014377985,0.00003822193,0.000028905675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022579794,0.000073902855,0.00013628788,0.00041088977,0.000023466318,0.000008997997,0.00012220202,0.000053693337,0.00028361584],"category_scores_gemma":[0.000023582372,0.000052583167,0.00006295758,0.0004922146,0.00005576917,0.00030704917,0.0000026103996,0.000042692856,0.00016680593],"study_design_candidate":"design_other","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":[0.000065990636,0.00002012471,0.18911196,0.000014680934,0.000053213218,8.437233e-7,0.00047721656,0.002236562,0.0038945016,0.00021234635,0.0002754378,0.80363715],"study_design_scores_gemma":[0.00022678803,0.00008861914,0.19793636,0.000059161757,0.000065518725,0.000001133088,0.00003057794,0.78293616,0.008628009,0.009548926,0.00035537765,0.00012338646],"about_ca_topic_score_codex":0.010506885,"about_ca_topic_score_gemma":0.00035435893,"teacher_disagreement_score":0.8035137,"about_ca_system_score_codex":0.000018950599,"about_ca_system_score_gemma":0.000017901673,"threshold_uncertainty_score":0.99608225},"labels":[],"label_agreement":null},{"id":"W2554446275","doi":"10.1190/int-2016-0046.1","title":"The use of seismic modeling for the geologic interpretation of deep seismic reflection data with low signal-to-noise ratios","year":2016,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Formations and Processes Exploration","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":"TESL Canada Federation","funders":"Universitatea din București","keywords":"Geology; Seismology; Reflection (computer programming); Seismic to simulation; Geophysical imaging; Section (typography); Synthetic seismogram; Synthetic data; Amplitude; Noise (video); SIGNAL (programming language); Seismic wave; Ray tracing (physics); Geophysics; Seismic inversion; Geometry; Azimuth; Algorithm; Optics","score_opus":0.05059940994941188,"score_gpt":0.2620721403848621,"score_spread":0.21147273043545023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554446275","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":[0.18526784,0.000091648944,0.8130434,0.0008478281,0.00011374062,0.00050451723,0.000061062514,0.000017998302,0.00005192581],"genre_scores_gemma":[0.9971991,0.00006108049,0.00226821,0.00018175694,0.000024903715,0.000024695493,0.00019492413,0.0000035688452,0.000041715473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989529,0.00011093548,0.00040551805,0.00019980369,0.0001892506,0.00014156426],"domain_scores_gemma":[0.9976908,0.001384666,0.00026505374,0.00031760384,0.00031228233,0.000029603592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050396443,0.00010861397,0.00012817005,0.000071180264,0.00020251027,0.00006576139,0.0003286734,0.000043841916,0.000050203264],"category_scores_gemma":[0.0004387583,0.00004541892,0.000037004276,0.00022153404,0.00008429632,0.001087734,0.000020997544,0.00005675333,0.00001707718],"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":[0.0007409158,0.000005394399,0.0013224507,0.000022043228,0.00002137304,5.0893146e-8,0.00059420377,0.7454149,0.00020779495,0.000028952298,0.00003660613,0.2516053],"study_design_scores_gemma":[0.0001909728,0.00052209885,0.00092505745,0.00007872989,0.000041425854,0.000002800292,0.0002138112,0.9954782,0.0006864803,0.0015286856,0.00025771663,0.00007403009],"about_ca_topic_score_codex":0.00025675955,"about_ca_topic_score_gemma":0.0013573014,"teacher_disagreement_score":0.8119313,"about_ca_system_score_codex":0.0000075462485,"about_ca_system_score_gemma":0.00003549716,"threshold_uncertainty_score":0.18521298},"labels":[],"label_agreement":null},{"id":"W2581284807","doi":"10.1190/int-2016-0116.1","title":"Interpretation of geologic facies in seismic volume using key rock elastic properties and high-definition facies templates","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nexen (Canada); University of Calgary","funders":"University of Calgary","keywords":"Facies; Geology; Petrophysics; Petrology; Permeability (electromagnetism); Seismic inversion; Oil shale; Drilling; Porosity; Mineralogy; Geomorphology; Paleontology; Geotechnical engineering; Geometry; Structural basin","score_opus":0.03659336092111846,"score_gpt":0.23075764698438977,"score_spread":0.19416428606327132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581284807","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":[0.97062296,0.00029480914,0.027795136,0.00022199312,0.00019980055,0.00014339211,0.000025659147,0.0000535638,0.0006427056],"genre_scores_gemma":[0.9984294,0.000060284478,0.0012465041,0.00014083626,0.000012265066,0.0000023077948,0.000038357524,0.0000035724688,0.00006646299],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991546,0.00007117716,0.00028551705,0.00020518407,0.00013387665,0.00014963104],"domain_scores_gemma":[0.99943656,0.00006557439,0.00025066934,0.00015201852,0.000068150766,0.000027054217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019243013,0.0001261854,0.00018901784,0.00019650125,0.0001852477,0.00013444886,0.00016266959,0.00007160671,0.000085432875],"category_scores_gemma":[0.00026163415,0.00010547792,0.00003183121,0.00004853313,0.0001806,0.00086300983,0.000025707674,0.00010675311,0.00002712822],"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":[0.0006183161,0.000049236656,0.69879806,0.00039896165,0.00005773235,0.000011690303,0.015836138,0.071797855,0.009756414,0.00012266533,0.00026288204,0.20229007],"study_design_scores_gemma":[0.0001447334,0.00013148854,0.11437525,0.000291778,0.00001419829,0.000010986357,0.00068417407,0.875811,0.005073074,0.0033061951,0.000036580906,0.000120575125],"about_ca_topic_score_codex":0.009146788,"about_ca_topic_score_gemma":0.00016590746,"teacher_disagreement_score":0.80401313,"about_ca_system_score_codex":0.000011974669,"about_ca_system_score_gemma":0.000022136022,"threshold_uncertainty_score":0.99745136},"labels":[],"label_agreement":null},{"id":"W2587101793","doi":"10.1190/int-2016-0129.1","title":"Volumetric fault image enhancement — Some applications","year":2017,"lang":"en","type":"article","venue":"Interpretation","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":"ARC Resources (Canada)","funders":"","keywords":"Classification of discontinuities; Geology; Fault (geology); Workflow; Noise (video); Seismology; Coherence (philosophical gambling strategy); Operator (biology); Curvature; Geophysical imaging; Algorithm; Computer science; Image (mathematics); Artificial intelligence; Geometry; Mathematics","score_opus":0.010491168468223849,"score_gpt":0.2585232927764226,"score_spread":0.24803212430819876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587101793","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":[0.15591475,0.0008332771,0.64429224,0.0037613667,0.0011921859,0.0008376725,0.00007280566,0.00045444517,0.19264126],"genre_scores_gemma":[0.9929612,0.00005222709,0.004980363,0.00088847545,0.00007086809,0.000008627827,0.000053416876,0.0000019617212,0.0009828088],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994737,0.000016294145,0.000117589254,0.00015309805,0.0001265345,0.00011276763],"domain_scores_gemma":[0.9994761,0.000029372904,0.00011937351,0.0002896608,0.000045865625,0.000039667142],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012951269,0.00006267034,0.00006427215,0.00008931816,0.00030806827,0.00018782778,0.00028125822,0.000026915786,0.000769289],"category_scores_gemma":[0.000065277105,0.000056529803,0.00003487187,0.000044266017,0.000075776734,0.00063854846,0.000011481602,0.000064878324,0.0011207303],"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":[0.000010821875,0.00001080377,0.008140648,0.000009347808,0.000007434858,0.0000010370775,0.00013260766,0.00001187615,0.0004667896,0.000112539245,0.00861645,0.98247963],"study_design_scores_gemma":[0.00045559616,0.00024183923,0.12518634,0.000085278174,0.000041115985,0.000009808016,0.00023010743,0.6259124,0.048241105,0.020881388,0.17821257,0.00050242984],"about_ca_topic_score_codex":0.0015065792,"about_ca_topic_score_gemma":0.000014855016,"teacher_disagreement_score":0.9819772,"about_ca_system_score_codex":0.000006603537,"about_ca_system_score_gemma":0.000013374848,"threshold_uncertainty_score":0.99965703},"labels":[],"label_agreement":null},{"id":"W2593662744","doi":"10.1190/int-2016-0130.1","title":"Seismic reservoir characterization of Duvernay shale with quantitative interpretation and induced seismicity considerations — A case study","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Husky Energy (Canada)","funders":"","keywords":"Geology; Hydraulic fracturing; Induced seismicity; Reservoir modeling; Seismology; Devonian; Oil shale; Petroleum reservoir; Petrology; Microseism; Unconventional oil; Petroleum engineering; Geochemistry; Paleontology","score_opus":0.033692545100400303,"score_gpt":0.2860074496585935,"score_spread":0.25231490455819316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593662744","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":[0.9831496,0.000010478345,0.015216136,0.0003942382,0.000119944925,0.0004345175,0.00004907651,0.00005483578,0.00057117105],"genre_scores_gemma":[0.9985831,0.000005434431,0.0009889742,0.0003134399,0.000012585536,0.000006321044,0.000047976606,0.0000054448337,0.00003672095],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990213,0.00015244597,0.00027727362,0.00026260453,0.00017318952,0.00011322431],"domain_scores_gemma":[0.99891,0.0001540905,0.0004116185,0.0002758259,0.0001982774,0.00005019149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030109784,0.00013025776,0.00018559334,0.00014187308,0.00040409784,0.00019559654,0.000110337125,0.00004795441,0.0000754947],"category_scores_gemma":[0.0002219666,0.00010959245,0.000025090041,0.00005918307,0.00014831276,0.0010879484,0.000020678646,0.0001266,0.000007712664],"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":[0.000863104,0.00018955376,0.87247455,0.00010128441,0.0001934723,0.00041943754,0.06174622,0.0010222004,0.006486219,0.00011168668,0.00015034273,0.056241933],"study_design_scores_gemma":[0.000518668,0.0009916447,0.24300976,0.00013449731,0.00005376257,0.000376896,0.0059647886,0.74402475,0.0041713985,0.0005649825,0.000014160349,0.0001746874],"about_ca_topic_score_codex":0.01887541,"about_ca_topic_score_gemma":0.0011606278,"teacher_disagreement_score":0.74300253,"about_ca_system_score_codex":0.000009287202,"about_ca_system_score_gemma":0.00004888946,"threshold_uncertainty_score":0.98765796},"labels":[],"label_agreement":null},{"id":"W2595216903","doi":"10.1190/int-2016-0141.1","title":"Inversion of airborne geophysics over the DO-27/DO-18 kimberlites — Part 3: Induced polarization","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kimberlite; Petrophysics; Geology; Geophysics; Induced polarization; Inversion (geology); Mineralogy; Paleontology; Electrical resistivity and conductivity; Physics; Mantle (geology)","score_opus":0.02003615149754837,"score_gpt":0.2669045585808877,"score_spread":0.24686840708333932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595216903","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":[0.9929856,0.00007506973,0.00095074205,0.00034745617,0.0005476589,0.000140567,0.000018195502,0.000017043369,0.00491767],"genre_scores_gemma":[0.9991829,0.00001040678,0.00028035062,0.00017161989,0.00012833565,9.991321e-7,0.000038962346,0.0000027846977,0.00018364344],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990749,0.0001406522,0.0001975063,0.00018557631,0.00024367543,0.00015771146],"domain_scores_gemma":[0.99899536,0.00029367444,0.00025062516,0.00031850048,0.00008910991,0.000052744854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023045414,0.00010362873,0.00014047118,0.000036387188,0.00022807457,0.00013000051,0.00030746264,0.00006876864,0.00052943086],"category_scores_gemma":[0.000424281,0.00006765894,0.00007763892,0.00013823588,0.00008801025,0.00040373416,0.000023291166,0.00014592303,0.00012922786],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001049455,0.000036392325,0.08999475,0.000021812968,0.000029160265,9.771583e-7,0.00065901584,0.00019573895,0.0025679232,0.00090145116,0.00033713388,0.9051507],"study_design_scores_gemma":[0.00015580507,0.00019494258,0.93875974,0.00004164371,0.000024715386,4.432693e-7,0.0000352405,0.035908222,0.0027378376,0.021485329,0.0005533308,0.0001027198],"about_ca_topic_score_codex":0.0013709862,"about_ca_topic_score_gemma":0.00009074644,"teacher_disagreement_score":0.90504795,"about_ca_system_score_codex":0.0000037090076,"about_ca_system_score_gemma":0.000022422797,"threshold_uncertainty_score":0.5796897},"labels":[],"label_agreement":null},{"id":"W2595354348","doi":"10.1190/int-2016-0140.1","title":"Inversion of airborne geophysics over the DO-27/DO-18 kimberlites — Part 2: Electromagnetics","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kimberlite; Inversion (geology); Geology; Conductivity; Petrophysics; Geophysics; Magnetotellurics; Mineralogy; Electrical resistivity and conductivity; Paleontology; Physics; Structural basin; Mantle (geology); Geotechnical engineering","score_opus":0.013284719532393852,"score_gpt":0.25535097064325246,"score_spread":0.2420662511108586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595354348","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":[0.98635423,0.00030485218,0.0006516266,0.0004478725,0.00047333565,0.00014042915,0.000020792882,0.00001835725,0.011588518],"genre_scores_gemma":[0.9986739,0.000047871625,0.0006323908,0.00017527869,0.00013759149,0.0000010881932,0.00001970546,0.0000028504849,0.0003093007],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990416,0.00012137178,0.00019480285,0.00018933539,0.00024644256,0.00020644897],"domain_scores_gemma":[0.9988947,0.00040000875,0.00021021,0.0003591596,0.00007751018,0.000058395268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020760414,0.00011205563,0.00015419011,0.000028375407,0.0002011483,0.0001224361,0.00037478254,0.00005648551,0.0008773063],"category_scores_gemma":[0.00033059905,0.000072055744,0.00009440436,0.00011326005,0.00015238639,0.00023179897,0.000023166593,0.00015798697,0.00015614186],"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":[0.00012328518,0.000039557253,0.029648248,0.000023623435,0.000029846313,0.0000018793776,0.00045805422,0.00021059235,0.0010756335,0.0008912835,0.001590611,0.9659074],"study_design_scores_gemma":[0.00019123698,0.0005826674,0.89613515,0.000041909814,0.000039463506,0.0000011096279,0.00003040598,0.047369435,0.002863686,0.0501677,0.0024363408,0.00014088271],"about_ca_topic_score_codex":0.000637076,"about_ca_topic_score_gemma":0.00008815882,"teacher_disagreement_score":0.9657665,"about_ca_system_score_codex":0.0000032985267,"about_ca_system_score_gemma":0.00002202037,"threshold_uncertainty_score":0.9605888},"labels":[],"label_agreement":null},{"id":"W2596497537","doi":"10.1190/int-2016-0142.1","title":"Inversion of airborne geophysics over the DO-27/DO-18 kimberlites — Part 1: Potential fields","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kimberlite; Geology; Geophysics; Inversion (geology); Magnetic susceptibility; Density contrast; Magnetic anomaly; Paleontology; Mineralogy; Mantle (geology); Structural basin; Physics","score_opus":0.013446823582612922,"score_gpt":0.2550649602719386,"score_spread":0.24161813668932566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596497537","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":[0.986718,0.00014708698,0.0024290576,0.00063181476,0.00089176494,0.00011773061,0.000021000733,0.00001551136,0.0090280585],"genre_scores_gemma":[0.99895644,0.000022484239,0.00029606084,0.00020122345,0.00018586947,8.198663e-7,0.000018390747,0.0000019240667,0.00031678876],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991908,0.00010145753,0.00016770855,0.00016769313,0.00021658598,0.00015572627],"domain_scores_gemma":[0.9991847,0.00023613797,0.00017193073,0.0002975886,0.000060360868,0.000049261504],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017740074,0.00009177322,0.00013103378,0.000023204633,0.0001940904,0.00011203688,0.00031969766,0.00006375545,0.0011278564],"category_scores_gemma":[0.00021381695,0.00005791921,0.00010268354,0.00007290698,0.00011605857,0.00025859982,0.000025613022,0.00014469402,0.00014128149],"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":[0.00013987918,0.000032799453,0.01899729,0.00002195874,0.000032262436,0.0000030943663,0.00047566125,0.00091219647,0.00021941165,0.00046090694,0.0018869524,0.9768176],"study_design_scores_gemma":[0.00019327893,0.00025723482,0.8777641,0.000041410432,0.00003556768,0.0000010514483,0.000041661315,0.07565334,0.0011072531,0.043327205,0.0014566664,0.00012123532],"about_ca_topic_score_codex":0.0010899745,"about_ca_topic_score_gemma":0.00008611016,"teacher_disagreement_score":0.9766964,"about_ca_system_score_codex":0.00000199813,"about_ca_system_score_gemma":0.00001545285,"threshold_uncertainty_score":0.99978524},"labels":[],"label_agreement":null},{"id":"W2614522850","doi":"10.1190/int-2017-0014.1","title":"A practical petrophysical model for a source rock play: The Mancos Shale","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Petrophysics; Geology; Oil shale; Source rock; Window (computing); Petroleum engineering; Well logging; Porosity; Maturity (psychological); Mineralogy; Petrology; Geochemistry; Geotechnical engineering; Geomorphology; Paleontology","score_opus":0.025879352374364326,"score_gpt":0.2970981394968157,"score_spread":0.27121878712245134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614522850","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":[0.030036818,0.000009714547,0.96695805,0.0012463619,0.00009488136,0.00013528997,0.0000040485115,0.00008414435,0.0014306864],"genre_scores_gemma":[0.9976806,0.00000547765,0.0012702288,0.00008768269,0.00010211674,0.00010794995,0.000009076911,0.000018970937,0.00071790774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995317,0.000012865723,0.00012376261,0.000104097264,0.000114888986,0.00011267339],"domain_scores_gemma":[0.9995313,0.00006405156,0.00004526575,0.00028358513,0.00003930229,0.000036466383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006831733,0.000078994,0.0000950139,0.000028520295,0.00019335111,0.00015903926,0.00015953783,0.000042229203,0.000010358459],"category_scores_gemma":[0.00014634444,0.00005696536,0.00010130301,0.00002337543,0.000019205077,0.00027637076,0.000022868599,0.00010581307,0.0000607053],"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":[0.000039681843,0.0000203507,0.000019547446,0.000019727822,0.00008234389,0.0000010521876,0.002256859,0.9899626,0.0017056173,0.00066538854,0.002586839,0.0026399947],"study_design_scores_gemma":[0.00015131067,0.000015949283,0.00004101132,0.000011030262,0.000038265804,0.0000015822507,0.000100285026,0.9977386,0.00059610186,0.00064614456,0.00058641424,0.00007330443],"about_ca_topic_score_codex":0.0000054646634,"about_ca_topic_score_gemma":0.000034430966,"teacher_disagreement_score":0.9676438,"about_ca_system_score_codex":0.000029563818,"about_ca_system_score_gemma":0.000012550964,"threshold_uncertainty_score":0.232298},"labels":[],"label_agreement":null},{"id":"W2734663867","doi":"10.1190/int-2017-0067.1","title":"Quality grading system for tight sandstone reservoirs in the Quantou 4 Member, southern Songliao Basin, Northeast China","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Young Scientists Fund; National Natural Science Foundation of China; University of Regina","keywords":"Tight oil; Tight gas; Geology; Permeability (electromagnetism); Hydraulic fracturing; Structural basin; Petrology; Geotechnical engineering; Geomorphology; Oil shale; Chemistry; Paleontology","score_opus":0.028172007750654846,"score_gpt":0.29606708516283325,"score_spread":0.2678950774121784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734663867","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":[0.9078079,0.00015943649,0.08073272,0.00094752683,0.00052427023,0.00046005013,0.000044050434,0.00019267714,0.009131355],"genre_scores_gemma":[0.9994228,0.000010382284,0.000131787,0.000023743627,0.000105608975,0.00011455372,0.00003996271,0.00002681171,0.00012434245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884814,0.00012987413,0.0003996946,0.00018695726,0.00023261084,0.00020273698],"domain_scores_gemma":[0.99912393,0.00010102289,0.00013579142,0.00054051745,0.00005510199,0.00004364937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008883884,0.00014950347,0.00023936802,0.00012058586,0.0002797422,0.00023798918,0.0004331196,0.00007938796,0.000012661125],"category_scores_gemma":[0.00017083906,0.00010958284,0.00015283402,0.00010524682,0.000039519648,0.00032401687,0.000020058387,0.00014835128,0.000033944667],"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":[0.0013051976,0.00043895346,0.11854149,0.0040983786,0.0014708699,0.00006915429,0.34389758,0.45384765,0.013553619,0.014096091,0.004610996,0.044070043],"study_design_scores_gemma":[0.0006020174,0.000022307835,0.009418528,0.00017806601,0.000042201435,0.000003019998,0.006841599,0.9810485,0.00055521994,0.00041488305,0.00064694305,0.00022669579],"about_ca_topic_score_codex":0.0006766782,"about_ca_topic_score_gemma":0.003656564,"teacher_disagreement_score":0.5272009,"about_ca_system_score_codex":0.0000930299,"about_ca_system_score_gemma":0.000012159425,"threshold_uncertainty_score":0.44686586},"labels":[],"label_agreement":null},{"id":"W2740816267","doi":"10.1190/int-2017-0004.1","title":"Applying principal component analysis to seismic attributes for interpretation of evaporite facies: Lower Triassic Jialingjiang Formation, Sichuan Basin, China","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"SINOPEC Petroleum Exploration and Production Research Institute; PetroChina Company Limited","keywords":"Geology; Lithology; Anhydrite; Siliciclastic; Facies; Evaporite; Dolostone; Paleontology; Sedimentary rock; Chemostratigraphy; Sedimentary depositional environment; Geochemistry; Petrology; Structural basin; Carbonate rock; Gypsum; Total organic carbon","score_opus":0.021361597870344157,"score_gpt":0.27531525848149757,"score_spread":0.25395366061115343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740816267","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":[0.33067295,0.000041320036,0.6665353,0.00070317567,0.00042824238,0.0006868172,0.00018208216,0.00007265573,0.00067740976],"genre_scores_gemma":[0.9930605,0.000008872402,0.0056056106,0.0006258138,0.000054064563,0.000040527142,0.00050371257,0.0000056139083,0.00009523941],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986512,0.000069217436,0.0005181623,0.00027481472,0.00026966882,0.00021691964],"domain_scores_gemma":[0.99865115,0.00016602411,0.00052391656,0.0003630552,0.00021279583,0.00008307596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066217413,0.00016292898,0.0003305946,0.0004058357,0.00035599887,0.00021225415,0.0003806249,0.00006663943,0.00011004541],"category_scores_gemma":[0.00042864514,0.00014911125,0.00023396555,0.00020055204,0.00006975038,0.0008671667,0.000025530206,0.00008823922,0.000027057882],"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":[0.0013657496,0.000075392396,0.048547033,0.00022745,0.00058460573,0.0000025535585,0.010530099,0.11653887,0.001277307,0.00009798952,0.0044508926,0.81630206],"study_design_scores_gemma":[0.0003019807,0.0001730863,0.029681483,0.000111217334,0.00019871735,0.0000015010273,0.0002668803,0.96013165,0.0051557934,0.00046486472,0.0033368922,0.00017595806],"about_ca_topic_score_codex":0.0018507049,"about_ca_topic_score_gemma":0.00012373464,"teacher_disagreement_score":0.84359276,"about_ca_system_score_codex":0.000028357763,"about_ca_system_score_gemma":0.00002815097,"threshold_uncertainty_score":0.60805804},"labels":[],"label_agreement":null},{"id":"W2747126034","doi":"10.1190/int-2017-0035.1","title":"Use of the photoelectric effect as a reservoir quality indicator in the Niobrara Formation, Piceance Basin, northwest Colorado","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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; Structural basin; Sedimentary depositional environment; Carbonate; Siliciclastic; Carbonate rock; Marl; Canada Basin; Geochemistry; Diagenesis; Paleontology; Sedimentary rock; Chemistry","score_opus":0.019421212269681045,"score_gpt":0.27760939711627997,"score_spread":0.25818818484659894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747126034","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":[0.99612635,0.000042973286,0.0018280842,0.00057150767,0.000115414645,0.00035479158,0.000009058198,0.00003520449,0.0009165876],"genre_scores_gemma":[0.99963546,0.000033998727,0.000023103425,0.00016499475,0.000017661296,0.00007063013,0.00001677466,0.000010585491,0.000026794198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879134,0.00031539326,0.00037012834,0.000109559114,0.0002866572,0.00012693473],"domain_scores_gemma":[0.998848,0.00023424825,0.00022321251,0.00061820593,0.0000522337,0.000024058398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005707083,0.00010962498,0.00017531238,0.00012262634,0.00016219296,0.00015900558,0.00053210417,0.00006673476,0.000013571488],"category_scores_gemma":[0.000651262,0.00006680695,0.00010849453,0.00030364888,0.000064358785,0.00079438504,0.00003252565,0.00019492724,0.000022254879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083090644,0.00037009487,0.66016316,0.0011880933,0.00057968317,0.000018638055,0.06730117,0.2191614,0.02537304,0.002019919,0.0036471712,0.01934672],"study_design_scores_gemma":[0.00055898586,0.000108721564,0.4947552,0.00014934682,0.00006151439,0.000004494596,0.0002587312,0.4717154,0.030581197,0.00037998665,0.0012094703,0.00021696795],"about_ca_topic_score_codex":0.0008055339,"about_ca_topic_score_gemma":0.0026300452,"teacher_disagreement_score":0.25255397,"about_ca_system_score_codex":0.000062273204,"about_ca_system_score_gemma":0.00002319838,"threshold_uncertainty_score":0.2724308},"labels":[],"label_agreement":null},{"id":"W2762112957","doi":"10.1190/int-2017-0043.1","title":"Characterization of carbonate microfacies and reservoir pore types based on Formation MicroImager logging: A case study from the Ordovician in the Tahe Oilfield, Tarim Basin, China","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Geology; Carbonate; Tarim basin; Diagenesis; Shoal; Well logging; Petrology; Geochemistry; Geomorphology; Petroleum engineering","score_opus":0.013399553785973916,"score_gpt":0.24538248944268665,"score_spread":0.23198293565671274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762112957","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":[0.9945454,0.00003215266,0.0030937654,0.0013381748,0.00008586789,0.00029116284,0.00002286613,0.000024318024,0.00056629855],"genre_scores_gemma":[0.9995983,0.00001696336,0.000036017616,0.00018066428,0.000024756504,0.000029403134,0.000092321134,0.000011089799,0.000010464089],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992517,0.00013945614,0.00025837545,0.000119592616,0.00014293264,0.00008794843],"domain_scores_gemma":[0.9993446,0.0000904162,0.00012590195,0.00038162118,0.000041809155,0.000015645546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003032032,0.0001117465,0.00013726752,0.00010486234,0.00016726082,0.0001703633,0.0002048116,0.000049778755,0.000009320195],"category_scores_gemma":[0.00009305958,0.00007085165,0.000039873594,0.00009340966,0.00004232359,0.00033802795,0.000022937294,0.00014865509,0.0000019981953],"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":[0.0006251143,0.0007256065,0.17204548,0.00035147727,0.0005225641,0.000718575,0.40542275,0.14241572,0.24715382,0.00008529219,0.00032464915,0.02960897],"study_design_scores_gemma":[0.00044247916,0.00006821998,0.09871627,0.00007887801,0.000059750306,0.000010684952,0.005326515,0.8910528,0.003943593,0.00006391712,0.00012005904,0.00011688049],"about_ca_topic_score_codex":0.0018468075,"about_ca_topic_score_gemma":0.0036972393,"teacher_disagreement_score":0.748637,"about_ca_system_score_codex":0.000024275465,"about_ca_system_score_gemma":0.000009353679,"threshold_uncertainty_score":0.28892466},"labels":[],"label_agreement":null},{"id":"W2762592445","doi":"10.1190/int-2017-1003-spseintro.1","title":"Introduction to special section: Time or depth imaging of land data?","year":2017,"lang":"en","type":"article","venue":"Interpretation","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":"Trusted Positioning (Canada); Treasury Board of Canada Secretariat; ARC Resources (Canada)","funders":"","keywords":"Section (typography); Special section; Geology; Computer science; Physics; Engineering physics","score_opus":0.017176571079326484,"score_gpt":0.2632925510478435,"score_spread":0.246115979968517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762592445","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":[0.7105886,0.00013494806,0.06692599,0.027872486,0.01887942,0.0008371551,0.00036599854,0.00049800274,0.17389742],"genre_scores_gemma":[0.99202883,0.0000056382296,0.0023563073,0.00036472522,0.0041186884,3.816168e-7,0.0001508866,0.0000022940812,0.00097225426],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947315,0.000024575826,0.00012455847,0.00018546637,0.000112407506,0.00007985357],"domain_scores_gemma":[0.9993984,0.0000253976,0.000103852646,0.00039457003,0.000045898567,0.00003184761],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022117919,0.000053992644,0.00007837062,0.00007298091,0.00013431365,0.000093289746,0.00029702936,0.000018234055,0.002164174],"category_scores_gemma":[0.00021605848,0.00004338579,0.000015359365,0.00004041506,0.00004571415,0.0006497342,0.000026481513,0.000052857995,0.0002660981],"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":[0.00023131642,0.0000068747263,0.0736206,0.000009714936,0.0000089056575,0.0000026704693,0.00037758207,0.00014788688,0.0002483044,0.000003330428,0.30306506,0.62227774],"study_design_scores_gemma":[0.00032365014,0.00023489218,0.24637221,0.00010407864,0.00003433591,0.000058058024,0.00017244935,0.44619256,0.008515156,0.00041228288,0.29731795,0.00026236539],"about_ca_topic_score_codex":0.001999444,"about_ca_topic_score_gemma":0.0003122827,"teacher_disagreement_score":0.6220154,"about_ca_system_score_codex":0.00000463059,"about_ca_system_score_gemma":0.000019435656,"threshold_uncertainty_score":0.998748},"labels":[],"label_agreement":null},{"id":"W2766776316","doi":"10.1190/int-2017-0061.1","title":"Space-time continuum in seismic stratigraphy: Principles and norms","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Universität Hamburg; University of Alberta; Australian Government","keywords":"Stratigraphy; Geology; Flattening; Paleontology; Interpretation (philosophy); Ecological succession; Spacetime; Epistemology; Computer science; Philosophy; Engineering; Tectonics","score_opus":0.013088311202559846,"score_gpt":0.2258436443406966,"score_spread":0.21275533313813674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766776316","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":[0.9618333,0.00014560859,0.00030863928,0.00040306026,0.00006055025,0.00007522007,0.000011681742,0.000014119871,0.03714783],"genre_scores_gemma":[0.999263,0.000028977798,0.00038461076,0.00006290998,0.000012057012,0.0000010079771,0.000024393461,6.542908e-7,0.00022242198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999624,0.000015487278,0.000114536175,0.00009585185,0.00005696686,0.00009312735],"domain_scores_gemma":[0.9997314,0.000047194346,0.00007916618,0.00009178831,0.000019768428,0.00003066726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011861493,0.000054938893,0.000074590585,0.000047207574,0.00012499202,0.00016289431,0.00010423496,0.00003472654,0.00034480638],"category_scores_gemma":[0.00008725884,0.000040146944,0.0000142178715,0.00002848651,0.000067304085,0.0004882469,0.000006850289,0.000056288995,0.00009723276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030646785,0.000007021051,0.9439169,0.000019078567,0.0000047998146,0.0000028585273,0.0005494708,0.00068388757,0.000035900197,0.00024057431,0.000035104436,0.05447375],"study_design_scores_gemma":[0.000116221905,0.000052123396,0.8862953,0.000023852584,0.0000022465522,0.000003125034,0.000057866244,0.10685981,0.00008556714,0.0059236065,0.00052390044,0.000056366116],"about_ca_topic_score_codex":0.0008975175,"about_ca_topic_score_gemma":0.0075398125,"teacher_disagreement_score":0.10617592,"about_ca_system_score_codex":8.179119e-7,"about_ca_system_score_gemma":0.000009324941,"threshold_uncertainty_score":0.42073923},"labels":[],"label_agreement":null},{"id":"W2767583145","doi":"10.1190/int-2017-1017-fe.1","title":"Roles and responsibilities of the special-section editor","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","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":"BHP (Canada)","funders":"","keywords":"Section (typography); Special section; Philosophy; History; Computer science; Engineering; Engineering physics","score_opus":0.010800650703321884,"score_gpt":0.22712828431775897,"score_spread":0.21632763361443708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767583145","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":[0.99254286,0.00006442555,0.00031662997,0.0005058361,0.0021344968,0.000025357735,0.000007378614,0.00000485133,0.0043981764],"genre_scores_gemma":[0.9974979,0.000009954188,0.00007048008,0.00002219563,0.0020754957,1.6622562e-7,0.0000021893732,3.5312277e-7,0.00032124898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997007,0.0000382429,0.000075412434,0.00007030179,0.00007594953,0.000039362407],"domain_scores_gemma":[0.99970794,0.000053758096,0.0000747433,0.00012239107,0.000029508934,0.0000116405245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014247511,0.000027895761,0.000048996717,0.000016454966,0.00015656224,0.000043226075,0.00008990752,0.000024698164,0.00016166888],"category_scores_gemma":[0.00033077117,0.000016099566,0.00002866181,0.000014330503,0.000080651356,0.000096644195,0.000007817093,0.000036375826,0.0000073985616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001011126,0.000005280088,0.88153535,0.000010194425,0.00001470577,2.3367508e-7,0.0011316581,0.0060145073,0.00012509248,0.00007415463,0.0010648196,0.10992288],"study_design_scores_gemma":[0.000039390692,0.000035125995,0.91347265,0.000018634619,0.000010732775,6.075225e-7,0.00018565291,0.08193544,0.00014952713,0.0032570362,0.00086714915,0.000028058905],"about_ca_topic_score_codex":0.0008665601,"about_ca_topic_score_gemma":0.0037065484,"teacher_disagreement_score":0.10989482,"about_ca_system_score_codex":7.735532e-7,"about_ca_system_score_gemma":0.0000060574766,"threshold_uncertainty_score":0.2068341},"labels":[],"label_agreement":null},{"id":"W2772071739","doi":"10.1190/int-2017-1207-spseintro.1","title":"Introduction to special section: Characterization of hydrocarbon and geothermal resource potential and carbon sequestration opportunities of the Pannonian Basin","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Formations and Processes Exploration","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BHP (Canada)","funders":"","keywords":"Library science; Geothermal gradient; Section (typography); Resource (disambiguation); Geology; Archaeology; Geography; Business; Computer science; Paleontology","score_opus":0.013968625271727033,"score_gpt":0.20084311670486582,"score_spread":0.18687449143313878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772071739","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":[0.9948381,0.000009927307,0.0007480265,0.0020289705,0.00047813458,0.00015097325,0.000018829393,0.0000074261225,0.0017196096],"genre_scores_gemma":[0.9989156,0.000022383156,0.00005577385,0.00004088748,0.00082334393,0.0000015908977,0.00007029297,0.0000016064729,0.000068483074],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99945056,0.000057859394,0.00020049565,0.00011087974,0.00012038514,0.0000598103],"domain_scores_gemma":[0.9995219,0.000010633961,0.00024865769,0.00012075888,0.0000715279,0.000026538151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015210353,0.00006202866,0.00008588396,0.0000543901,0.00016863468,0.00007299482,0.00007019341,0.00004864628,0.00006270613],"category_scores_gemma":[0.000056153873,0.000047346148,0.000015333473,0.00004597949,0.00010157499,0.00044037684,0.000013024121,0.00004932815,6.5908193e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011217535,0.000054132204,0.29189003,0.00031760504,0.00006003424,0.000001930566,0.013238893,0.00779971,0.09101798,0.0014799747,0.000102162536,0.5929158],"study_design_scores_gemma":[0.00012266432,0.00022100263,0.95191514,0.000038042836,0.000021142529,0.000010799626,0.0004075187,0.039692067,0.0061473534,0.00047222606,0.0008733577,0.00007866058],"about_ca_topic_score_codex":0.00038837368,"about_ca_topic_score_gemma":0.00026186454,"teacher_disagreement_score":0.6600251,"about_ca_system_score_codex":0.0000030320316,"about_ca_system_score_gemma":0.000016884653,"threshold_uncertainty_score":0.19307199},"labels":[],"label_agreement":null},{"id":"W2772669269","doi":"10.1190/int-2017-0134.1","title":"Seismic reservoir characterization of Utica-Point Pleasant Shale with efforts at quantitative interpretation — A case study: Part 1","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada); University of Calgary","funders":"","keywords":"Petrophysics; Oil shale; Geology; Brittleness; Seismic inversion; Mineralogy; Inversion (geology); Poisson's ratio; Poisson distribution; Species richness; Reservoir modeling; Lithology; Total organic carbon; Petrology; Porosity; Seismology; Soil science; Petroleum engineering; Geotechnical engineering; Paleontology; Statistics; Geometry; Chemistry; Mathematics; Materials science","score_opus":0.025156463206934356,"score_gpt":0.2754305779748568,"score_spread":0.25027411476792244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772669269","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":[0.9722374,0.00001805501,0.025022957,0.00021849509,0.00024202406,0.0005027748,0.000067058114,0.00007656844,0.0016146476],"genre_scores_gemma":[0.9987638,0.000009894863,0.0006456256,0.00017085952,0.000022741648,0.000011001069,0.00018581818,0.000008308725,0.0001819609],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872595,0.00014291833,0.00036417236,0.0003211416,0.00026800396,0.00017783606],"domain_scores_gemma":[0.99869454,0.00010832218,0.0005236808,0.00042941503,0.00017718168,0.000066847366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040263886,0.00016329893,0.00022769389,0.0001416068,0.00036028685,0.00012540678,0.00022782246,0.0000513126,0.00029074313],"category_scores_gemma":[0.00014667478,0.00013056141,0.000053032607,0.00007860915,0.00017941114,0.0009344726,0.000035792906,0.00011279276,0.000051404022],"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":[0.003342316,0.00028534813,0.7824654,0.00019902839,0.00025752722,0.0010608854,0.057327926,0.0018320639,0.002018981,0.00006201215,0.0004717346,0.1506768],"study_design_scores_gemma":[0.00058234256,0.0015077667,0.08516592,0.00034399392,0.00007885246,0.00050748803,0.004355634,0.90268004,0.0039798217,0.00019390137,0.00034482838,0.00025941056],"about_ca_topic_score_codex":0.005004596,"about_ca_topic_score_gemma":0.0011328593,"teacher_disagreement_score":0.900848,"about_ca_system_score_codex":0.000023153014,"about_ca_system_score_gemma":0.00003792406,"threshold_uncertainty_score":0.7565485},"labels":[],"label_agreement":null},{"id":"W2775789537","doi":"10.1190/int-2017-0135.1","title":"Seismic reservoir characterization of Utica-Point Pleasant shale with efforts at fracability evaluation — Part 2: A case study","year":2017,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Virtual Materials Group (Canada); ARC Resources (Canada)","funders":"","keywords":"Petrophysics; Brittleness; Oil shale; Geology; Seismic inversion; Reservoir modeling; Poisson's ratio; Seismology; Characterization (materials science); Geotechnical engineering; Inversion (geology); Modulus; Petrology; Mineralogy; Petroleum engineering; Poisson distribution; Statistics; Mathematics; Materials science; Porosity; Paleontology; Geometry","score_opus":0.02421762861113382,"score_gpt":0.2848890449985932,"score_spread":0.2606714163874594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775789537","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":[0.9752316,0.000012580939,0.023103038,0.0000813608,0.00015030774,0.0007150029,0.000014337821,0.00008128521,0.00061052304],"genre_scores_gemma":[0.99956685,0.0000068090008,0.00004684465,0.000009833829,0.000037622813,0.00015420999,0.00010133919,0.000024131163,0.000052359723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986381,0.00013331657,0.00043105593,0.00024617524,0.0004117565,0.00013957848],"domain_scores_gemma":[0.9987297,0.000034861278,0.00022425293,0.0006845987,0.00025997503,0.00006662756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063206715,0.00015391082,0.00023774177,0.00011672837,0.00020206928,0.00008369774,0.00014926249,0.00006414353,0.00015418768],"category_scores_gemma":[0.00014855941,0.00013043873,0.00006608648,0.00010607479,0.00005983977,0.00058771734,0.000049935083,0.00010086917,0.000018104689],"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":[0.00079335354,0.00096311065,0.16642316,0.0005099505,0.0011718512,0.00044438706,0.049464304,0.72031033,0.034212913,0.000024479417,0.00008442934,0.025597703],"study_design_scores_gemma":[0.000596293,0.00015467753,0.020250209,0.00006970814,0.00017130081,0.00005541731,0.00082603126,0.97338206,0.004268506,0.000035216748,0.000043935222,0.00014667278],"about_ca_topic_score_codex":0.00015327265,"about_ca_topic_score_gemma":0.0009863818,"teacher_disagreement_score":0.25307167,"about_ca_system_score_codex":0.00016571573,"about_ca_system_score_gemma":0.000028302547,"threshold_uncertainty_score":0.5319137},"labels":[],"label_agreement":null},{"id":"W2784778329","doi":"10.1190/int-2017-0149.1","title":"Inversion and interpretation of seismic-derived rock properties in the Duvernay play","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Geology; Seismic inversion; Seismology; Classification of discontinuities; Seismic to simulation; Lithology; Inversion (geology); Facies; Petrology; Geomorphology; Tectonics; Geometry","score_opus":0.01201725412343029,"score_gpt":0.21406891613465473,"score_spread":0.20205166201122443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784778329","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":[0.9869273,0.00013918996,0.008816685,0.00049921224,0.00015562236,0.00014939245,0.0000047804187,0.000031562722,0.0032762636],"genre_scores_gemma":[0.99796784,0.000028149047,0.00025919048,0.0016608417,0.000024959661,0.0000015042401,0.000014723767,0.000002046407,0.000040770155],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932474,0.00011834639,0.00018257735,0.00013477076,0.00014429723,0.00009526491],"domain_scores_gemma":[0.99966353,0.00007701455,0.00008898985,0.000098391356,0.000054329088,0.000017714789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025822295,0.000075460914,0.00009014085,0.0001112712,0.0000589147,0.000032023803,0.0001422842,0.000032401964,0.000085862],"category_scores_gemma":[0.00007988768,0.000049491966,0.00002253819,0.00011565304,0.000109931054,0.0003240579,0.00001034366,0.00008139677,0.000033302877],"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":[0.0007930919,0.000049815662,0.11020077,0.00010934123,0.00002928328,0.0000047624912,0.0977886,0.0015165274,0.007947351,0.000048094724,0.005421717,0.7760906],"study_design_scores_gemma":[0.00014941778,0.00021299295,0.026899692,0.00015076861,0.0000076813585,0.000007339866,0.0021864604,0.95011574,0.019027997,0.0006106314,0.0005555411,0.00007575007],"about_ca_topic_score_codex":0.002423586,"about_ca_topic_score_gemma":0.0001810277,"teacher_disagreement_score":0.9485992,"about_ca_system_score_codex":0.0000055648766,"about_ca_system_score_gemma":0.00001527106,"threshold_uncertainty_score":0.36637533},"labels":[],"label_agreement":null},{"id":"W2787982348","doi":"10.1190/int-2017-0190.1","title":"Microseismic monitoring of a tight light oil reservoir: A case history in the Cardium Halo Play, Alberta","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Microseismic Industry Consortium","keywords":"Microseism; Geology; Cretaceous; Hydraulic fracturing; Seismology; Fracture (geology); Petrology; Petroleum engineering; Paleontology","score_opus":0.008369679650692897,"score_gpt":0.22597766186622986,"score_spread":0.21760798221553695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787982348","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":[0.9813696,0.0012222868,0.0008865268,0.00023198564,0.000567733,0.00005035578,0.0000022624588,0.000045739936,0.01562351],"genre_scores_gemma":[0.99893284,0.000028539584,0.00012342578,0.00004087022,0.000190154,0.000021434415,0.0000035883536,0.000019806243,0.0006393211],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991906,0.00007535258,0.00027710048,0.00014250723,0.00014617782,0.00016823247],"domain_scores_gemma":[0.9994115,0.00012957084,0.000047837522,0.00032047706,0.00005318395,0.000037386963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020920261,0.00011975287,0.00016822544,0.00017893924,0.000038986356,0.00001820221,0.00020715759,0.00008129553,0.00003885117],"category_scores_gemma":[0.000085306754,0.000091888665,0.000099625504,0.00016071525,0.00004941176,0.0001231638,0.000021097143,0.00018183283,0.0000360275],"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":[0.0002916446,0.00025053788,0.009257047,0.0012613503,0.0010355834,0.0015267761,0.44204575,0.3828065,0.098430134,0.000039166185,0.042511363,0.020544127],"study_design_scores_gemma":[0.0012997414,0.00024538906,0.003821205,0.0015914203,0.00030433867,0.0008955115,0.0051185386,0.68677664,0.13910626,0.000103117825,0.15978232,0.000955532],"about_ca_topic_score_codex":0.0031935077,"about_ca_topic_score_gemma":0.001646234,"teacher_disagreement_score":0.43692723,"about_ca_system_score_codex":0.00020599569,"about_ca_system_score_gemma":0.000022104256,"threshold_uncertainty_score":0.48276496},"labels":[],"label_agreement":null},{"id":"W2788677725","doi":"10.1190/int-2017-0172.1","title":"Microseismicity-derived fracture network characterization of unconventional reservoirs by topology","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","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":"Alpha Cancer Technologies","funders":"","keywords":"Geology; Fracture (geology); Permeability (electromagnetism); Hydraulic fracturing; Tight gas; Microseism; Complex fracture; Oil shale; Petrology; Petroleum engineering; Geotechnical engineering; Mining engineering; Seismology; Paleontology","score_opus":0.0039394802515508795,"score_gpt":0.21596514323605517,"score_spread":0.2120256629845043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788677725","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":[0.70096713,0.000068993155,0.29747525,0.00026417483,0.00031611606,0.000061401704,0.000016021448,0.00008527444,0.0007456271],"genre_scores_gemma":[0.9986205,0.00002493336,0.0002880189,0.00023817807,0.00024286927,0.000007350441,0.0003174775,0.000018640481,0.00024204748],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927175,0.000046993795,0.0002731808,0.00013370866,0.000113449045,0.00016089586],"domain_scores_gemma":[0.99959093,0.0000362693,0.00008198073,0.0001492833,0.00010435485,0.000037204485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010240394,0.00010777946,0.00016382913,0.000071486385,0.0000546897,0.000018002125,0.00012518198,0.00012214974,0.00034060946],"category_scores_gemma":[0.000024220308,0.00010398244,0.000075703865,0.00015529015,0.00008900162,0.00013425335,0.000017274111,0.00011674947,0.000040514322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010783036,0.00004735446,0.0017931474,0.00012005362,0.0003387772,0.0000016920966,0.0020561598,0.21287347,0.76601607,0.00003153554,0.013436936,0.0031769825],"study_design_scores_gemma":[0.0004547679,0.00015128407,0.014738827,0.00020564083,0.00007441397,0.000005793244,0.000078809346,0.5076095,0.44607136,0.0007243142,0.029543774,0.00034153555],"about_ca_topic_score_codex":0.00004809359,"about_ca_topic_score_gemma":0.000024674491,"teacher_disagreement_score":0.3199447,"about_ca_system_score_codex":0.00003743527,"about_ca_system_score_gemma":0.000009880174,"threshold_uncertainty_score":0.4240281},"labels":[],"label_agreement":null},{"id":"W2789974452","doi":"10.1190/int-2017-0165.1","title":"Western Canada Sedimentary Basin petroleum systems: A working and evolving paradigm","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":13,"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; Geological Survey of Canada; CMC Research Institutes","funders":"","keywords":"Source rock; Geology; Sedimentary depositional environment; Hopanoids; Geochemistry; Petroleum; Sedimentary rock; Petroleum geochemistry; Unconformity; Organic geochemistry; Organic matter; Earth science; Kerogen; Paleontology; Structural basin; Ecology","score_opus":0.006825664759969601,"score_gpt":0.20193983694475978,"score_spread":0.19511417218479019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789974452","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":[0.91150033,0.0026403707,0.076930895,0.0004424652,0.0017147204,0.0001533343,0.0000064633778,0.0002475074,0.006363926],"genre_scores_gemma":[0.9994577,0.000015920927,0.000055187465,0.0001748097,0.00018195638,0.00001229545,0.000013276791,0.00001568085,0.00007317493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999425,0.000033371052,0.00017056109,0.00009650517,0.00013507016,0.00013951844],"domain_scores_gemma":[0.99976325,0.000030541505,0.000026744803,0.000093753355,0.000018156814,0.00006755516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008341859,0.00008973489,0.00011031592,0.00007420499,0.000048574857,0.000067283196,0.000051078758,0.000029898181,0.000028486742],"category_scores_gemma":[0.000007709048,0.00008775581,0.000018502964,0.00009388057,0.000017120474,0.00018215143,0.00001197008,0.0000639051,0.000012546411],"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":[0.00016136884,0.00009041127,0.40422383,0.00096467935,0.0024623193,0.000084431165,0.03871462,0.47916907,0.008990226,0.00053764245,0.034028172,0.030573253],"study_design_scores_gemma":[0.0001007625,0.000013258677,0.0025808145,0.00010599315,0.000033618722,0.0000061000246,0.00042404878,0.9900961,0.00034272758,0.000009868977,0.006165556,0.0001211723],"about_ca_topic_score_codex":0.046809863,"about_ca_topic_score_gemma":0.12342211,"teacher_disagreement_score":0.510927,"about_ca_system_score_codex":0.00014244232,"about_ca_system_score_gemma":0.00002157686,"threshold_uncertainty_score":0.9595375},"labels":[],"label_agreement":null},{"id":"W2790736834","doi":"10.1190/int-2017-0169.1","title":"Integrated shale-gas reservoir characterization: A case study incorporating multicomponent seismic data","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Shell Canada","keywords":"Geology; Reservoir modeling; Seismic to simulation; Oil shale; Workflow; Seismic inversion; Well logging; Petrology; Petrophysics; Brittleness; Petroleum engineering; Hydraulic fracturing; Seismology; Porosity; Geotechnical engineering; Database; Computer science","score_opus":0.0453438551787907,"score_gpt":0.2840881711566075,"score_spread":0.2387443159778168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790736834","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":[0.9711035,0.000013243474,0.026740555,0.0003405966,0.00045024842,0.00033904458,0.00012471413,0.00023530444,0.00065283326],"genre_scores_gemma":[0.99480635,0.00000202782,0.0025101802,0.00087632064,0.00014307602,0.0000029185703,0.0015654003,0.0000062147174,0.00008753676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987152,0.00020424946,0.00032742432,0.0003928238,0.00020001664,0.00016027065],"domain_scores_gemma":[0.9990193,0.000078684585,0.0001660192,0.00051171915,0.00015719833,0.00006704506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050264574,0.00013942433,0.0001381471,0.00015070614,0.00023088438,0.0001486154,0.0003930912,0.00004545441,0.0004108609],"category_scores_gemma":[0.00012964194,0.00011789217,0.000020522462,0.0002594323,0.000104517756,0.00082078704,0.00006427295,0.0001497251,0.00024092801],"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":[0.00024051416,0.00018283146,0.21631359,0.00002722852,0.00007113252,0.0008681691,0.012462753,0.00015494239,0.0016530487,0.0000044129515,0.0027363184,0.7652851],"study_design_scores_gemma":[0.00021283336,0.00031240974,0.0051904153,0.000057501795,0.000019037529,0.0003659007,0.0036828099,0.98798245,0.000528837,0.000080296806,0.0014221851,0.0001453019],"about_ca_topic_score_codex":0.015016695,"about_ca_topic_score_gemma":0.0008143988,"teacher_disagreement_score":0.98782754,"about_ca_system_score_codex":0.000012664686,"about_ca_system_score_gemma":0.000046162077,"threshold_uncertainty_score":0.9915424},"labels":[],"label_agreement":null},{"id":"W2791411373","doi":"10.1190/int-2018-0315-spseintro.1","title":"Introduction to special section: Low-permeability resource plays of the Western Canada Sedimentary Basin — Defining the sweet spots","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Microseismic Industry Consortium","keywords":"Structural basin; Geology; Library science; Oil shale; Sedimentary rock; Sedimentary basin; Geochemistry; Paleontology; Computer science","score_opus":0.005048997555871101,"score_gpt":0.23433733720966504,"score_spread":0.22928833965379394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791411373","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":[0.9749658,0.000010085776,0.00017448532,0.012371499,0.0020577058,0.0002276597,0.000011750574,0.000019475527,0.010161556],"genre_scores_gemma":[0.9937896,3.083944e-7,0.000024528192,0.0013733912,0.003907337,0.000018924084,0.000014070692,0.000009993207,0.0008618349],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983477,0.00041383808,0.00029417415,0.00028448677,0.00042841904,0.00023137589],"domain_scores_gemma":[0.9989562,0.00014869726,0.000077388075,0.00048004463,0.00028216204,0.000055503133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005549133,0.000112620204,0.00012533212,0.000039082457,0.00025383563,0.000033179607,0.0002996874,0.00006151468,0.00035633397],"category_scores_gemma":[0.00058913045,0.00007604644,0.00006161091,0.00037341274,0.00019260179,0.000109955865,0.00012670254,0.00019412373,0.000016805758],"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":[0.0083806,0.0004980673,0.09650798,0.0003724246,0.0004529845,0.000015438249,0.04219406,0.24566518,0.003936247,0.03311985,0.40018573,0.16867141],"study_design_scores_gemma":[0.00049106026,0.0003567409,0.19528843,0.00009490993,0.000041726813,0.000027669528,0.004223376,0.004089334,0.029518677,0.0018529186,0.76372087,0.0002943086],"about_ca_topic_score_codex":0.3740878,"about_ca_topic_score_gemma":0.5897057,"teacher_disagreement_score":0.3635351,"about_ca_system_score_codex":0.00061714154,"about_ca_system_score_gemma":0.00027408273,"threshold_uncertainty_score":0.63008016},"labels":[],"label_agreement":null},{"id":"W2792042394","doi":"10.1190/int-2018-0006.1","title":"Coherence attribute applications on seismic data in various guises — Part 1","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Coherence (philosophical gambling strategy); Computer science; Computation; Seismic inversion; Classification of discontinuities; Amplitude; Bandwidth (computing); Algorithm; Geology; Seismology; Optics; Mathematics; Physics; Telecommunications; Statistics","score_opus":0.03228016412159657,"score_gpt":0.27844571295968484,"score_spread":0.24616554883808828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792042394","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":[0.29714033,0.0006889796,0.540444,0.006127228,0.0022706932,0.0019323807,0.0014410869,0.0011507932,0.1488045],"genre_scores_gemma":[0.99486405,0.000014315973,0.0012474579,0.0030490288,0.000098435965,0.0000057503225,0.00054885563,0.0000022848878,0.0001698495],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926645,0.00004843673,0.000161616,0.00026415166,0.00012530005,0.00013402154],"domain_scores_gemma":[0.99936104,0.000101340156,0.00005839144,0.00040256555,0.0000422039,0.00003444084],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002302778,0.00007388042,0.00007672124,0.00009169881,0.00007087247,0.000044005163,0.00037675627,0.000036814898,0.0005795271],"category_scores_gemma":[0.000068458154,0.000066412445,0.0000125849665,0.00017603739,0.00008959586,0.00024296805,0.00001980145,0.00009033885,0.0010102275],"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":[0.000065217595,0.000037234044,0.05695243,0.000012085259,0.000009667988,0.0000036578297,0.000566073,0.00036568576,0.000045696772,0.000071991344,0.06488836,0.8769819],"study_design_scores_gemma":[0.00018764359,0.00025519312,0.024975115,0.00012504707,0.000010554244,0.000008430156,0.00013531263,0.7326134,0.002036282,0.0040722084,0.23537086,0.00020996702],"about_ca_topic_score_codex":0.0024347205,"about_ca_topic_score_gemma":0.00031237397,"teacher_disagreement_score":0.8767719,"about_ca_system_score_codex":0.000007871376,"about_ca_system_score_gemma":0.000030891,"threshold_uncertainty_score":0.9997676},"labels":[],"label_agreement":null},{"id":"W2792328331","doi":"10.1190/int-2017-0202.1","title":"Determination of target-oriented parameters for computation of curvature attributes","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","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":"ARC Resources (Canada)","funders":"","keywords":"Curvature; Geology; Context (archaeology); Horizon; Computation; Computer science; Geometry; Mathematics; Algorithm; Paleontology","score_opus":0.01432048242372967,"score_gpt":0.25849459808600683,"score_spread":0.24417411566227717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792328331","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":[0.25299022,0.000053366723,0.74590325,0.000102830156,0.00027581508,0.0001609541,0.000061470426,0.000032027987,0.00042006557],"genre_scores_gemma":[0.91171926,0.0000019124232,0.087911725,0.0001409273,0.00001759974,0.0000012275527,0.00019267928,0.0000016580465,0.000013005479],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994977,0.000032004624,0.00019910432,0.00009809946,0.000102073886,0.00007102709],"domain_scores_gemma":[0.9993508,0.00013148124,0.00018323546,0.000055124558,0.00026328897,0.000016102107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016929636,0.000052465064,0.0000956443,0.00010019377,0.000031103726,0.000006554196,0.00006126775,0.00003982582,0.00004158293],"category_scores_gemma":[0.00015024592,0.00004689409,0.000043086748,0.000117504744,0.00009582788,0.00017515477,0.0000026913,0.00002837052,0.000004465689],"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":[0.00048914895,0.00004204049,0.06116859,0.00018616316,0.000034572113,2.846723e-7,0.0036184858,0.0007664519,0.00373118,0.0001961836,0.005056735,0.92471015],"study_design_scores_gemma":[0.00016163182,0.00045829325,0.008099998,0.00008103773,0.0000142853505,9.830845e-7,0.00011896535,0.8533912,0.13308974,0.003936555,0.0005878967,0.000059451],"about_ca_topic_score_codex":0.00025424117,"about_ca_topic_score_gemma":0.0000098595365,"teacher_disagreement_score":0.9246507,"about_ca_system_score_codex":0.0000035516557,"about_ca_system_score_gemma":0.00001387333,"threshold_uncertainty_score":0.19122854},"labels":[],"label_agreement":null},{"id":"W2793722342","doi":"10.1190/int-2017-0164.1","title":"Experiences and learnings from induced seismicity regulation in Alberta","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Induced seismicity; Seismology; Geology; Plan (archaeology); Hydraulic fracturing; Seismic hazard; Mining engineering; Geotechnical engineering; Paleontology","score_opus":0.008800990250349642,"score_gpt":0.2203654449502436,"score_spread":0.21156445469989396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793722342","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":[0.9963574,0.000030223413,0.00086290285,0.0002658781,0.00011370272,0.000037031874,0.0000026702678,0.000008984235,0.0023212188],"genre_scores_gemma":[0.9992051,0.000004418302,0.00018117468,0.00037113694,0.00006763983,6.7903824e-7,0.000051191448,0.0000012043104,0.00011743343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948764,0.0000455952,0.00012897751,0.00017011784,0.00008273842,0.00008492136],"domain_scores_gemma":[0.9997384,0.00010043289,0.000054713008,0.00005878519,0.000018254452,0.000029444303],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008214598,0.000055957236,0.00007786019,0.00006780191,0.000050581602,0.000048854225,0.000053630894,0.000038402948,0.0010555171],"category_scores_gemma":[0.0000630584,0.000047886282,0.000015649142,0.0001295319,0.000051423773,0.00025526783,0.0000048000447,0.000047770343,0.000070057155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012093951,0.000010254348,0.6650823,0.0000040952277,0.000022556966,0.0000018317933,0.075597815,0.00068118353,0.0010858327,0.00004457845,0.00011024072,0.2572384],"study_design_scores_gemma":[0.00007771276,0.00005435872,0.5471072,0.00001840112,0.0000047982467,5.891987e-7,0.0030811976,0.44731134,0.00044393085,0.001614329,0.0002236396,0.00006247495],"about_ca_topic_score_codex":0.08475922,"about_ca_topic_score_gemma":0.016645906,"teacher_disagreement_score":0.44663015,"about_ca_system_score_codex":0.0000029182834,"about_ca_system_score_gemma":0.0000073109063,"threshold_uncertainty_score":0.99985766},"labels":[],"label_agreement":null},{"id":"W2803452092","doi":"10.1190/int-2017-0230.1","title":"Azimuthal anisotropy analysis of multiazimuth P-wave seismic data — An example from the Rock Springs Uplift, Wyoming, USA","year":2018,"lang":"en","type":"article","venue":"Interpretation","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":"Western University","funders":"University of Wyoming; U.S. Department of Energy","keywords":"Azimuth; Anisotropy; Geology; Seismology; Orientation (vector space); Offset (computer science); Seismic anisotropy; Amplitude; Geodesy; Mineralogy; Geometry; Geophysics; Mantle (geology); Optics; Physics","score_opus":0.06296981524316528,"score_gpt":0.2756548374470284,"score_spread":0.21268502220386312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803452092","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":[0.8397931,0.00006869243,0.15856358,0.000099875266,0.00021463115,0.000097625765,0.0003099666,0.000062714644,0.00078983296],"genre_scores_gemma":[0.99287915,0.0000140260845,0.00433197,0.0013663028,0.00011063872,6.0988435e-7,0.001214971,0.0000042833217,0.000078071556],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877965,0.000114101465,0.00028762495,0.0004109503,0.00023751066,0.00017015883],"domain_scores_gemma":[0.9986234,0.00022742241,0.0002002131,0.0007986456,0.00009282404,0.00005751436],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038354457,0.00012385417,0.00019856448,0.0001434174,0.00013877457,0.000077187935,0.00058657967,0.000055505316,0.0019683114],"category_scores_gemma":[0.00006421562,0.00009028176,0.00006844511,0.00037163342,0.00012088538,0.0005830344,0.000056492743,0.00010646934,0.0001111553],"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":[0.00052162807,0.0000877566,0.4705726,0.000013604459,0.0010829702,0.0000087146245,0.028898697,0.005351773,0.0020153497,0.00006856408,0.013772477,0.47760588],"study_design_scores_gemma":[0.00011766101,0.00010294835,0.08785087,0.000016969738,0.00022119873,0.0000013172744,0.00072373945,0.9037784,0.002652049,0.00024465154,0.004185872,0.00010432965],"about_ca_topic_score_codex":0.18235049,"about_ca_topic_score_gemma":0.0048262663,"teacher_disagreement_score":0.8984266,"about_ca_system_score_codex":0.000006795127,"about_ca_system_score_gemma":0.000030022178,"threshold_uncertainty_score":0.99894404},"labels":[],"label_agreement":null},{"id":"W2806834439","doi":"10.1190/int-2017-0170.1","title":"The influence of stratigraphic architecture on seismic response: Reflectivity modeling of outcropping deepwater channel units","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Cenovus Energy (Canada)","funders":"","keywords":"Outcrop; Geology; Facies; Hydrocarbon exploration; Seismic attribute; Sedimentary rock; Paleontology; Fluvial; Channel (broadcasting); Petrology; Seismology; Geomorphology; Tectonics","score_opus":0.021056201464530962,"score_gpt":0.25001697095623576,"score_spread":0.2289607694917048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806834439","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":[0.9851604,0.000055850305,0.013751538,0.00019853243,0.00005315982,0.000075892305,0.00001336769,0.000011098048,0.0006801481],"genre_scores_gemma":[0.99975926,0.0000087721555,0.000114555376,0.000085502186,0.0000112831785,9.2979127e-7,0.000006717655,9.947383e-7,0.000012011203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936384,0.00012493851,0.000198093,0.00008707307,0.00012473034,0.0001013228],"domain_scores_gemma":[0.9992599,0.0002982232,0.000099630626,0.00010124512,0.00022122577,0.000019796102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003744385,0.000061843995,0.00007603101,0.00007655275,0.00013743513,0.000019173976,0.00012994984,0.000038333143,0.000021883363],"category_scores_gemma":[0.00025292538,0.00003591484,0.00002095757,0.00026823746,0.000120677505,0.00012949362,0.000005302487,0.00008708817,0.000009133019],"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":[0.00076386245,0.000004866272,0.003093037,0.000022909135,0.0000098837045,1.7165341e-7,0.0027670593,0.9799976,0.000629242,0.000046529825,0.0000021391497,0.012662741],"study_design_scores_gemma":[0.00007402396,0.00064709736,0.104243,0.00011163675,0.000006209571,0.0000028912823,0.00026872876,0.87986314,0.0025619539,0.012125325,0.000029556031,0.00006645409],"about_ca_topic_score_codex":0.00027723642,"about_ca_topic_score_gemma":0.00088279485,"teacher_disagreement_score":0.10114997,"about_ca_system_score_codex":0.0000013376895,"about_ca_system_score_gemma":0.000029516212,"threshold_uncertainty_score":0.14645647},"labels":[],"label_agreement":null},{"id":"W2808847275","doi":"10.1190/int-2017-0087.1","title":"Interpretation of formation permeability and pressure responses from wireline formation testing with consideration of interlayers","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada); Petroleum Technology Research Centre; University of Regina","funders":"","keywords":"Wireline; Permeability (electromagnetism); Geology; Relative permeability; Mechanics; Capillary pressure; Oil field; Pressure gradient; Geotechnical engineering; Petroleum engineering; Materials science; Chemistry; Porous medium; Engineering; Physics; Porosity; Membrane","score_opus":0.00995240577064969,"score_gpt":0.23132530139306437,"score_spread":0.2213728956224147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808847275","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":[0.65667266,0.000082553575,0.3426444,0.000030151743,0.0000399024,0.00011045689,0.000016358372,0.00005498742,0.00034852736],"genre_scores_gemma":[0.9955996,0.000008011169,0.004264043,0.000013649346,0.000030977797,0.000010739034,0.000053451244,0.000012086856,0.0000073994765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990807,0.00008445119,0.00046442077,0.00012394981,0.000161673,0.00008476484],"domain_scores_gemma":[0.9989672,0.0002929948,0.00019844445,0.00015393918,0.00035912447,0.000028351844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021353217,0.00011410435,0.00019303166,0.00016461388,0.000040511608,0.000028124512,0.000056661687,0.00006698695,0.000019337911],"category_scores_gemma":[0.0003884431,0.000096877004,0.00003281637,0.00015105026,0.00011115457,0.00074280484,0.000014581103,0.00008107005,0.000002004776],"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":[0.002184123,0.000084951804,0.00822391,0.0015809035,0.00050833804,0.0000014617458,0.07562204,0.5440071,0.24418303,0.000031676904,0.00018616323,0.12338629],"study_design_scores_gemma":[0.00022692334,0.00020134269,0.0057462035,0.00042893083,0.000082146624,0.0000043885866,0.0006218926,0.863845,0.12856436,0.00018237736,0.000013091515,0.00008337017],"about_ca_topic_score_codex":0.00015716502,"about_ca_topic_score_gemma":0.00026372436,"teacher_disagreement_score":0.33892697,"about_ca_system_score_codex":0.000033533644,"about_ca_system_score_gemma":0.000013621701,"threshold_uncertainty_score":0.39505297},"labels":[],"label_agreement":null},{"id":"W2810333951","doi":"10.1190/int-2017-0156.1","title":"Integration of outcrop, subsurface, and microseismic interpretation for rock-mass characterization: An example from the Duvernay Formation, Western Canada","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microseism; Outcrop; Geology; Hydraulic fracturing; Rock mass classification; Reservoir modeling; Petrology; Fracture (geology); Seismology; Natural (archaeology); Geotechnical engineering; Mining engineering; Geomorphology; Paleontology","score_opus":0.015821003173130246,"score_gpt":0.2202410769088095,"score_spread":0.20442007373567928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810333951","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":[0.5977549,0.00003376744,0.4011217,0.00030025182,0.0002999776,0.00021239901,0.00016115946,0.00002909726,0.00008677386],"genre_scores_gemma":[0.9949972,0.000015199537,0.0017682565,0.0016368112,0.0000866156,0.000005335478,0.0013990086,0.000005289879,0.00008629797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911416,0.00008924482,0.00032700042,0.00019713491,0.00015374042,0.000118731456],"domain_scores_gemma":[0.9990961,0.00021537163,0.00025136714,0.00016636206,0.00023635181,0.000034463894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022418631,0.00011511004,0.00013087777,0.000045596113,0.00015918385,0.00009380728,0.00016950807,0.000047523303,0.00009760069],"category_scores_gemma":[0.000058728627,0.0000868589,0.00002610872,0.00008970524,0.000062844054,0.0008202124,0.0000070497344,0.00006140442,0.0000058850633],"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":[0.0014742868,0.000041371015,0.099657305,0.00009626128,0.00010694362,0.0000010938725,0.05380464,0.0006381672,0.16441429,0.00014308086,0.008946173,0.6706764],"study_design_scores_gemma":[0.0002428982,0.00020416507,0.057110906,0.0001184629,0.000028456307,0.0000032428961,0.0014984945,0.8711645,0.063527964,0.0006349649,0.005315394,0.00015055061],"about_ca_topic_score_codex":0.4228996,"about_ca_topic_score_gemma":0.25950733,"teacher_disagreement_score":0.8705263,"about_ca_system_score_codex":0.000020352929,"about_ca_system_score_gemma":0.000070700175,"threshold_uncertainty_score":0.7540047},"labels":[],"label_agreement":null},{"id":"W2884553091","doi":"10.1190/int-2017-0232.1","title":"Geophysical properties of an epithermal Au-Ag deposit in British Columbia, Canada","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","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":"Condor Petroleum (Canada); ARC Resources (Canada); Petro Geotech (Canada); Laurentian University; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Geology; Petrophysics; Induced polarization; Geophysics; Hydrothermal circulation; Magnetic susceptibility; Mineralogy; Magnetization; Borehole; Batholith; Geochemistry; Electrical resistivity and conductivity; Porosity; Seismology; Chemistry; Magnetic field","score_opus":0.0073370313581129255,"score_gpt":0.19904579570542197,"score_spread":0.19170876434730905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884553091","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":[0.9988204,0.000033053566,0.00014767621,0.000034097888,0.00015345917,0.00008298258,0.00001111918,0.000008912477,0.0007082817],"genre_scores_gemma":[0.99918056,5.6704846e-7,0.0004237791,0.00016767692,0.000097692355,0.0000014290964,0.000011189346,0.0000018613288,0.000115248105],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99921507,0.0001247184,0.0001717195,0.00015298493,0.00015899753,0.00017654072],"domain_scores_gemma":[0.99971277,0.00005182478,0.00004265654,0.000073162446,0.000054885073,0.0000646948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008757404,0.000046501358,0.00012605816,0.0000149639,0.000046946,0.000050001945,0.00011669898,0.000030642725,0.00019240609],"category_scores_gemma":[0.00007315778,0.000055953245,0.000022297234,0.00017176813,0.000079303856,0.00016436014,0.0000054663597,0.00007522402,0.000016081121],"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":[0.00004866369,0.000036775746,0.15587863,0.000017922679,0.0000064185597,0.000008218514,0.0003810621,0.00009531632,0.0009043842,0.0000015297156,0.000027059265,0.842594],"study_design_scores_gemma":[0.000091011374,0.00031013877,0.93780416,0.000041965806,0.000004134955,0.000004263238,0.00004693989,0.058551434,0.0025755344,0.00046350958,0.00003129955,0.00007559327],"about_ca_topic_score_codex":0.9951405,"about_ca_topic_score_gemma":0.99900556,"teacher_disagreement_score":0.84251845,"about_ca_system_score_codex":0.000011280289,"about_ca_system_score_gemma":0.00012733639,"threshold_uncertainty_score":0.22817072},"labels":[],"label_agreement":null},{"id":"W2888680913","doi":"10.1190/int-2018-0067.1","title":"Application of instantaneous-frequency attribute and gamma-ray wireline logs in the delineation of lithology in Serbin field, Southeast Texas: A case study","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Imperial College London; McGill University","keywords":"Lithology; Geology; Petrophysics; Oil shale; Low frequency; Well logging; Field (mathematics); Seismology; Porosity; Mineralogy; Petrology; Geophysics; Paleontology; Geotechnical engineering","score_opus":0.010738476864738632,"score_gpt":0.2598825566085394,"score_spread":0.24914407974380073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888680913","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":[0.97195053,0.000077399505,0.027144738,0.00024501138,0.000034523215,0.00029257053,0.000012828955,0.000011282644,0.00023110815],"genre_scores_gemma":[0.9989148,0.000010515792,0.0007770829,0.00025135945,0.000014961868,0.0000032832245,0.000022875707,0.0000014490903,0.0000036943984],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923193,0.00016025621,0.00031120528,0.00013262716,0.00008944159,0.0000745373],"domain_scores_gemma":[0.99950457,0.00016444246,0.000119439355,0.00012466148,0.000075826545,0.000011065785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005525134,0.000059983442,0.000109717985,0.00014335262,0.00002110422,0.000007531891,0.00009154334,0.00004361958,0.000023691193],"category_scores_gemma":[0.00009652884,0.00004450378,0.000012924367,0.00021038961,0.00007757309,0.00010135637,0.0000062029003,0.000080259466,0.0000039696174],"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":[0.000110669156,0.00006435949,0.8531608,0.000021003294,0.000004278966,0.000054865744,0.011181483,0.00012963072,0.00022716631,0.000022568458,0.000033624463,0.13498956],"study_design_scores_gemma":[0.0011003477,0.0027959442,0.2294902,0.00015700542,0.000036119633,0.00096158026,0.032113433,0.728947,0.0024162997,0.0016683732,0.00010123092,0.00021248568],"about_ca_topic_score_codex":0.022903966,"about_ca_topic_score_gemma":0.0060998388,"teacher_disagreement_score":0.72881734,"about_ca_system_score_codex":0.000004366898,"about_ca_system_score_gemma":0.000015152897,"threshold_uncertainty_score":0.9836026},"labels":[],"label_agreement":null},{"id":"W2891521939","doi":"10.1190/int-2018-0830-spseintro.1","title":"Introduction to special section: Recent advances in geology and geophysics of deepwater reservoirs","year":2018,"lang":"en","type":"article","venue":"Interpretation","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":"Dalhousie University","funders":"","keywords":"Salt lake; Library science; Section (typography); China; Geological survey; Geology; Archaeology; Geography; Computer science; Geophysics","score_opus":0.007450804975011155,"score_gpt":0.25055438095360305,"score_spread":0.2431035759785919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891521939","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":[0.9900432,0.00013650123,0.003355195,0.0015652765,0.0015821153,0.000108824875,0.0000024670194,0.000009509837,0.0031969],"genre_scores_gemma":[0.993476,0.00008113618,0.001813141,0.00012874132,0.0044038733,0.0000014615492,0.00001069365,0.0000013074525,0.00008365496],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993588,0.00009457924,0.00015546619,0.00018203349,0.00008625022,0.00012287401],"domain_scores_gemma":[0.99970174,0.000074674215,0.0000407966,0.00006481725,0.000079192025,0.00003877731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014149217,0.000057225,0.0001076573,0.000082407154,0.00002889609,0.000009341277,0.000049854178,0.000035232904,0.0006977725],"category_scores_gemma":[0.00013192088,0.000046839712,0.000013711771,0.00032547352,0.00006882657,0.00020071589,0.000008240557,0.000070958755,0.00007795401],"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":[0.00038866384,0.000015167064,0.013334514,0.000010026835,0.0000032742103,5.0021197e-7,0.00078162545,0.0006901127,0.00037284585,0.00011313851,0.0003041535,0.98398596],"study_design_scores_gemma":[0.0002279909,0.0016794913,0.87763506,0.000017015424,0.000007445326,0.0000054258676,0.00011956326,0.0083762035,0.004813923,0.03246243,0.07450624,0.00014923669],"about_ca_topic_score_codex":0.00022435303,"about_ca_topic_score_gemma":0.002483036,"teacher_disagreement_score":0.98383677,"about_ca_system_score_codex":0.00000416789,"about_ca_system_score_gemma":0.000007047886,"threshold_uncertainty_score":0.7640119},"labels":[],"label_agreement":null},{"id":"W2898699348","doi":"10.1190/int-2018-0081.1","title":"Seismic reconstruction of the in situ anisotropic stress field for caprock integrity in the Athabasca oil-sands basin, Canada","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","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":"Magna International (Canada)","funders":"","keywords":"Geology; Caprock; Transverse isotropy; Stress field; Overburden pressure; Biot number; Anisotropy; Pore water pressure; Stress (linguistics); Geotechnical engineering; Mechanics; Finite element method","score_opus":0.009011615571030047,"score_gpt":0.22029930248066915,"score_spread":0.2112876869096391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898699348","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":[0.99296063,0.00003123418,0.0020919042,0.0016691894,0.00047063874,0.00010798535,0.000026841322,0.000008258556,0.0026332908],"genre_scores_gemma":[0.9980544,0.000007050408,0.00024805358,0.0015906353,0.00003482487,0.0000030992398,0.000012893646,0.0000011816197,0.000047866582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994223,0.00010401626,0.00016738908,0.000105333704,0.000104100094,0.00009684729],"domain_scores_gemma":[0.9995706,0.00018525,0.00007359384,0.00011332428,0.000047333848,0.0000099005165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021621845,0.000055716286,0.00007446093,0.000047609552,0.000050805113,0.000015329977,0.00018810453,0.00003891565,0.000054142038],"category_scores_gemma":[0.00013172407,0.000034277804,0.000027460354,0.00013622399,0.00005168137,0.00011381078,0.0000053482327,0.00012976311,0.0000011241588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008301087,0.000011363673,0.6006141,0.000044236025,0.0000051214656,5.6817424e-7,0.002773871,0.00012302233,0.00010000036,0.00002386433,0.006168888,0.390052],"study_design_scores_gemma":[0.00046730385,0.00033810816,0.47593695,0.0004924206,0.000015042789,0.00002184912,0.00480175,0.444955,0.066931754,0.0026121845,0.003243511,0.00018413401],"about_ca_topic_score_codex":0.6638567,"about_ca_topic_score_gemma":0.7381388,"teacher_disagreement_score":0.44483197,"about_ca_system_score_codex":0.00001823206,"about_ca_system_score_gemma":0.00010703406,"threshold_uncertainty_score":0.33838174},"labels":[],"label_agreement":null},{"id":"W2907346126","doi":"10.1190/int-2018-0225.1","title":"Multiresolution neural networks for tracking seismic horizons from few training images","year":2019,"lang":"en","type":"preprint","venue":"Interpretation","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":false,"ca_institutions":"Geoscience BC; University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Extrapolation; Convolutional neural network; Interpolation (computer graphics); Horizon; Training (meteorology); Artificial neural network; Function (biology); Kernel (algebra); Machine learning; Pattern recognition (psychology); Image (mathematics); Mathematics; Geography","score_opus":0.02947175355961855,"score_gpt":0.2616529513976188,"score_spread":0.23218119783800023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907346126","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":[0.12677468,0.0014100277,0.86421597,0.00061955623,0.004092442,0.0007921426,0.00063319353,0.00042166223,0.0010403387],"genre_scores_gemma":[0.98800737,0.000064210326,0.0069714594,0.0011293604,0.00041935887,0.00001477279,0.003273368,0.000015734251,0.000104385625],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844766,0.00012020593,0.00037390718,0.0005508621,0.0001848796,0.00032247783],"domain_scores_gemma":[0.99881965,0.00043797906,0.0003032931,0.00027665368,0.000097262404,0.00006514727],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030422764,0.00027210245,0.0003232101,0.00015681883,0.00013225534,0.0002456743,0.00033058343,0.00028166815,0.00014465321],"category_scores_gemma":[0.00011619305,0.00026724834,0.00022155004,0.000065381624,0.000063128784,0.00032510323,0.000038432685,0.0005317039,0.00003228827],"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":[0.00009287932,0.000005551313,0.0028079771,0.00004002736,0.00003667844,0.0000015798764,0.0013676106,0.34152427,0.00003453344,0.000001831624,0.004498182,0.6495889],"study_design_scores_gemma":[0.00020284537,0.00008949674,0.0059255417,0.00031530403,0.0000634394,0.0000026771647,0.0003455947,0.98964655,0.0003152696,0.0017590094,0.0010360592,0.00029822212],"about_ca_topic_score_codex":0.006566986,"about_ca_topic_score_gemma":0.000071259514,"teacher_disagreement_score":0.8612327,"about_ca_system_score_codex":0.000026226446,"about_ca_system_score_gemma":0.000059237183,"threshold_uncertainty_score":0.99997795},"labels":[],"label_agreement":null},{"id":"W2923217486","doi":"10.1190/int-2018-0137.1","title":"Seismic amplitude variation with offset inversion in a vertical transverse isotropy medium","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","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":"Petro-Canada","funders":"","keywords":"Anisotropy; Isotropy; Amplitude; Amplitude versus offset; Inversion (geology); Offset (computer science); Transverse isotropy; Seismic inversion; Geology; Physics; Optics; Azimuth; Seismology; Computer science","score_opus":0.005967868260021407,"score_gpt":0.20491724364822161,"score_spread":0.1989493753882002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923217486","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":[0.9663556,0.000018798688,0.029686129,0.00094272534,0.00023697605,0.00020431596,0.00000806085,0.000088469074,0.002458905],"genre_scores_gemma":[0.9973491,0.000010017236,0.0010759832,0.0013662622,0.000016205011,0.0000015352848,0.00010695185,0.0000035512153,0.0000704342],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915844,0.00007293604,0.0001674196,0.00021872847,0.00021967897,0.00016281208],"domain_scores_gemma":[0.9996831,0.00007759396,0.000034018267,0.00012365676,0.00003299234,0.00004867087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017201406,0.00009717168,0.00011596244,0.00016386391,0.000028496639,0.000033788237,0.00011069068,0.00006255024,0.0009095886],"category_scores_gemma":[0.000019727442,0.00007864308,0.00002972371,0.00018443128,0.000036315276,0.00042536473,0.0000040832642,0.00014107446,0.0005074867],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022752585,0.0001084543,0.8747192,0.00011685172,0.000049332284,0.000024882624,0.011546848,0.025875757,0.0039753024,0.00020805985,0.0045651533,0.07653493],"study_design_scores_gemma":[0.00054420385,0.00025787248,0.13747764,0.000090752634,0.000010377779,0.0000067165447,0.00029493056,0.8577429,0.0015969336,0.00048971456,0.0013603346,0.00012762798],"about_ca_topic_score_codex":0.003175455,"about_ca_topic_score_gemma":0.00015210298,"teacher_disagreement_score":0.83186716,"about_ca_system_score_codex":0.000022148515,"about_ca_system_score_gemma":0.000042973887,"threshold_uncertainty_score":0.99593574},"labels":[],"label_agreement":null},{"id":"W2947471475","doi":"10.1190/int-2018-0173.1","title":"Impacts of diagenesis of tight sandstone gas reservoir on reservoir physical properties: A case study, Sulige gas field, Ordos Basin, China","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Diagenesis; Geology; Porosity; Natural gas field; Permeability (electromagnetism); Tight gas; Structural basin; Petrology; Geochemistry; Geomorphology; Petroleum engineering; Geotechnical engineering; Hydraulic fracturing; Natural gas; Chemistry","score_opus":0.0113017953945619,"score_gpt":0.254075634183378,"score_spread":0.2427738387888161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947471475","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":[0.99695635,0.00009629135,0.0005967803,0.00018114035,0.00014052923,0.0005080091,0.000009564734,0.00008541651,0.001425893],"genre_scores_gemma":[0.99965715,0.000035940597,0.000034805344,0.000027960417,0.00004786274,0.0000430462,0.000010631929,0.000037606376,0.000104979685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850285,0.00015611415,0.0004973088,0.0002491587,0.00039072178,0.00020387533],"domain_scores_gemma":[0.9989725,0.00014355921,0.00013017141,0.0005258496,0.00013890216,0.00008902682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023099875,0.00021583086,0.00046237072,0.00030102732,0.00003665852,0.000027825983,0.00020323509,0.00008551342,0.00011947015],"category_scores_gemma":[0.00018922573,0.00017008536,0.00018752052,0.00048318374,0.000031881737,0.00028428517,0.000046891833,0.00018194383,0.00004787564],"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":[0.0021745279,0.0025524108,0.040200163,0.0021245691,0.0018582835,0.0004969861,0.13403277,0.5874322,0.22020318,0.000067638124,0.0021099579,0.0067473333],"study_design_scores_gemma":[0.0012305095,0.0017033783,0.0019047348,0.00043572014,0.00016090355,0.000027232552,0.005135624,0.73963785,0.24927194,0.000088605244,0.00004952428,0.00035399388],"about_ca_topic_score_codex":0.0010779672,"about_ca_topic_score_gemma":0.0005694536,"teacher_disagreement_score":0.15220565,"about_ca_system_score_codex":0.000067613575,"about_ca_system_score_gemma":0.000033468434,"threshold_uncertainty_score":0.69358796},"labels":[],"label_agreement":null},{"id":"W2950432285","doi":"10.1190/int-2018-0142.1","title":"Enhancing subsurface imaging and reservoir characterization in the Marcellus Shale play, northeast Pennsylvania, through advanced reprocessing of wide-azimuth 3D seismic data","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"Canadian Society of Petroleum Geologists; Virtual Materials Group (Canada)","funders":"","keywords":"Geology; Seismology; Geophysical imaging; Azimuth; Reservoir modeling; Borehole; Economic geology; Vertical seismic profile; Petrology; Geometry; Petroleum engineering; Geotechnical engineering","score_opus":0.012224884103630516,"score_gpt":0.2417986692020451,"score_spread":0.22957378509841458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950432285","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":[0.9773746,0.0003217632,0.019717282,0.0006219981,0.00014052923,0.00023437932,0.000065002045,0.0000391815,0.0014852599],"genre_scores_gemma":[0.99624276,0.00007527892,0.0018590222,0.0011292285,0.000013273463,0.0000010238069,0.0006144243,0.000005234737,0.00005976451],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988942,0.00011500176,0.00029436382,0.0003406973,0.00019876506,0.00015695058],"domain_scores_gemma":[0.9991482,0.00020229057,0.00019542307,0.0003895426,0.00004695511,0.00001759973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059943285,0.00010611148,0.00014318815,0.000073977746,0.00006905419,0.000073148796,0.00034783233,0.00003067665,0.00008706873],"category_scores_gemma":[0.000102629034,0.000084481355,0.00001562585,0.000193128,0.000058573227,0.0013741321,0.000039843377,0.00014057152,0.00002090794],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021140839,0.000023198287,0.766439,0.0002169467,0.000009651509,0.0000074184954,0.018118436,0.0017746208,0.014980141,0.000005636622,0.00013536378,0.19807817],"study_design_scores_gemma":[0.00024056731,0.000051037143,0.11914585,0.00036708586,0.0000105128065,0.00001862481,0.0023499653,0.87224305,0.004076975,0.0002925361,0.0010574644,0.0001463368],"about_ca_topic_score_codex":0.0021718852,"about_ca_topic_score_gemma":0.00018698303,"teacher_disagreement_score":0.87046844,"about_ca_system_score_codex":0.000007031059,"about_ca_system_score_gemma":0.00003221561,"threshold_uncertainty_score":0.34450495},"labels":[],"label_agreement":null},{"id":"W2967953028","doi":"10.1190/int-2018-0146.1","title":"Overburden characterization with formation pore pressure and anisotropic stress field estimation in the Athabasca Basin, Canada","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Overburden; Pore water pressure; Transverse isotropy; Biot number; Overburden pressure; Caprock; Stress field; Stress (linguistics); Geotechnical engineering; Borehole; Effective stress; Mineralogy; Anisotropy; Mechanics; Engineering; Finite element method","score_opus":0.00281322960382475,"score_gpt":0.1762418105820796,"score_spread":0.17342858097825486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967953028","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":[0.98614913,0.000042314074,0.010760792,0.0012073043,0.00008564823,0.0002433521,0.000029438976,0.00002186426,0.0014601676],"genre_scores_gemma":[0.99761945,0.000008729996,0.00023505792,0.001602269,0.0000094187735,0.0000019266051,0.00044472664,0.0000014862902,0.00007696038],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952835,0.000049461025,0.00010133852,0.00009588173,0.00015042574,0.00007451519],"domain_scores_gemma":[0.9997465,0.00006754771,0.000067418834,0.000081386075,0.000024095334,0.000013077578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007951643,0.000059079674,0.000057577796,0.000040934858,0.00003767723,0.0000589359,0.000071792114,0.000025891615,0.00010583064],"category_scores_gemma":[0.000017300874,0.00003964786,0.0000066979574,0.000074254734,0.000009207055,0.0005246542,0.0000029435696,0.00006793507,0.00000400483],"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":[0.00016679309,0.0000111436775,0.7716556,0.00015745604,0.000015504818,0.0000069491834,0.0055871517,0.0028889866,0.000111285255,0.00009879855,0.0020732523,0.21722706],"study_design_scores_gemma":[0.00012420767,0.00010762522,0.3431681,0.00009634999,0.000009224659,0.000011824829,0.0004736273,0.65307355,0.0010903695,0.00006647802,0.0017125179,0.000066132896],"about_ca_topic_score_codex":0.24385971,"about_ca_topic_score_gemma":0.058327045,"teacher_disagreement_score":0.6501846,"about_ca_system_score_codex":0.000005917657,"about_ca_system_score_gemma":0.00003322143,"threshold_uncertainty_score":0.95885605},"labels":[],"label_agreement":null},{"id":"W2969311759","doi":"10.1190/int-2018-0204.1","title":"Defining a supergiant petroleum system in Brazil’s Santos Basin with multidisciplinary methods: One template for exploration success","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dignitas International","funders":"","keywords":"Structural basin; Geology; Paleontology; Source rock; Petroleum; Multidisciplinary approach; Geography; Political science","score_opus":0.017466307024581674,"score_gpt":0.2736538203843807,"score_spread":0.256187513359799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969311759","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":[0.9543689,0.00020923991,0.041929007,0.00027455715,0.00017255789,0.00043073922,0.00003017949,0.00005110413,0.0025337033],"genre_scores_gemma":[0.9863482,0.0000042561614,0.013348097,0.000046964575,0.000022981225,0.000029656756,0.00010814598,0.0000033943388,0.00008826864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899626,0.00012693476,0.00023658037,0.00028783068,0.00013646617,0.0002159365],"domain_scores_gemma":[0.99924237,0.00049439515,0.00008317675,0.000090049645,0.000049566217,0.000040422285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031596495,0.00012344334,0.0002456516,0.000069254456,0.000087154076,0.000045979228,0.00009739082,0.000048818005,0.000097487515],"category_scores_gemma":[0.000045329587,0.00008408294,0.000045965826,0.0001479362,0.000032384305,0.00043254925,0.000013639123,0.00008689468,0.00030717728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014682136,0.00006560249,0.8695188,0.00034327255,0.00004976617,0.000007708561,0.0032451442,0.044517342,0.0002412894,0.0008081196,0.000010538224,0.07972418],"study_design_scores_gemma":[0.00059432344,0.00066794315,0.66197497,0.00021648455,0.000017356557,0.0000030992223,0.0019076146,0.33325237,0.00030592168,0.0008351024,0.00005786347,0.00016699247],"about_ca_topic_score_codex":0.0014358464,"about_ca_topic_score_gemma":0.003302901,"teacher_disagreement_score":0.288735,"about_ca_system_score_codex":0.000011845519,"about_ca_system_score_gemma":0.000014469241,"threshold_uncertainty_score":0.39482448},"labels":[],"label_agreement":null},{"id":"W2981369619","doi":"10.1190/int-2019-0070.1","title":"A robust workflow for performing joint impedance inversion and its applications","year":2019,"lang":"en","type":"article","venue":"Interpretation","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workflow; Inversion (geology); Computer science; Geology; Electrical impedance; Data mining; Data set; Seismic inversion; Joint (building); Algorithm; Seismology; Artificial intelligence; Engineering; Mathematics; Database; Geometry; Structural engineering; Azimuth","score_opus":0.018749906785408017,"score_gpt":0.21997005022959648,"score_spread":0.20122014344418845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981369619","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":[0.87057376,0.0006778565,0.120325066,0.0008366153,0.000317238,0.0010262135,0.000031679632,0.00017507341,0.0060365056],"genre_scores_gemma":[0.992126,0.00004900159,0.0065111,0.0008826802,0.000030286052,0.000010764802,0.000053738855,0.0000025740937,0.00033389474],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954444,0.0000135505425,0.00010709506,0.00016152477,0.00007063199,0.00010272742],"domain_scores_gemma":[0.9997149,0.000081051185,0.000052961434,0.00007394567,0.000042790864,0.000034347737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015078658,0.000061003673,0.000071154325,0.00006490634,0.00007870035,0.000034310848,0.00006096646,0.000033475506,0.00017369169],"category_scores_gemma":[0.000027526463,0.00005448723,0.000028164728,0.00006548593,0.0000144169435,0.00028023162,0.00000622981,0.000054019147,0.00012821236],"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":[0.000056007506,0.0000066741936,0.019829292,0.000111700014,0.00000927568,1.96022e-7,0.00077920564,0.0014581715,0.00088900275,0.00021198993,0.0023487224,0.9742998],"study_design_scores_gemma":[0.00013215061,0.00007650806,0.002352223,0.00006555882,0.0000068525655,0.000003426224,0.00017669422,0.98442847,0.0025860972,0.0010819755,0.009011532,0.000078534234],"about_ca_topic_score_codex":0.000089381734,"about_ca_topic_score_gemma":0.00000610762,"teacher_disagreement_score":0.9829703,"about_ca_system_score_codex":0.000005828211,"about_ca_system_score_gemma":0.0000125060005,"threshold_uncertainty_score":0.22219248},"labels":[],"label_agreement":null},{"id":"W2989797907","doi":"10.1190/int-2019-0061.1","title":"Diagenetic characteristics and quantitative evolution of porosity in tight gas sandstone reservoirs: A case study from the middle and lower Permian in the northwestern Ordos Basin, China","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration 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":"Petro-Canada","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China","keywords":"Geology; Diagenesis; Authigenic; Cementation (geology); Petrography; Geochemistry; Calcite; Compaction; Volcanic rock; Carbonate; Mineralogy; Petrology; Volcano; Geomorphology; Cement","score_opus":0.012701518201395274,"score_gpt":0.23481100375316388,"score_spread":0.2221094855517686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989797907","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":[0.9980617,0.00029483426,0.0010367546,0.00010835095,0.000060796512,0.00037059438,0.000017792703,0.000010205315,0.00003893723],"genre_scores_gemma":[0.99984187,0.000046535777,0.000027737686,0.000021819644,0.000009615969,0.00002229944,0.000015083845,0.000009001446,0.0000060228385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918294,0.00020253503,0.0002634531,0.00014215484,0.00012499923,0.00008390068],"domain_scores_gemma":[0.99954796,0.00016586897,0.000056354023,0.00018224494,0.000028554086,0.000019032208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026010323,0.00009783022,0.00016723272,0.00009768138,0.000029612875,0.000040434574,0.00008050849,0.000037993956,0.0000112697635],"category_scores_gemma":[0.000042196512,0.00006463381,0.000023549428,0.00021952536,0.00003643769,0.00015874262,0.000024006118,0.00013503175,0.0000029589587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083964806,0.00012147411,0.84260255,0.00004012288,0.000051064966,0.00008918132,0.15072946,0.0047443793,0.0009205171,0.000009533771,0.0000043239575,0.00060340145],"study_design_scores_gemma":[0.000385801,0.000106547835,0.68496984,0.000074811156,0.00003121987,0.000011116669,0.020921828,0.29334843,0.000030231326,0.000044615772,0.0000028917304,0.000072644994],"about_ca_topic_score_codex":0.0046771914,"about_ca_topic_score_gemma":0.035611153,"teacher_disagreement_score":0.28860405,"about_ca_system_score_codex":0.000040340426,"about_ca_system_score_gemma":0.000009326177,"threshold_uncertainty_score":0.9819864},"labels":[],"label_agreement":null},{"id":"W2993905697","doi":"10.1190/int-2019-0125.1","title":"Depositional characteristics of fluvial facies in gentle slope zone of lacustrine rift basins: The third member of the Dongying Formation in the Wen’an Slope of Baxian Sag, Bohai Bay Basin, China","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","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":"Petro-Canada","funders":"National Science and Technology Major Project","keywords":"Geology; Fluvial; Geomorphology; Crevasse; Structural basin; Channel (broadcasting); Floodplain; Rift; Overbank; Facies; Sedimentary depositional environment; Point bar; Erosion; Paleontology","score_opus":0.01056732367482323,"score_gpt":0.21706214375534355,"score_spread":0.2064948200805203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993905697","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":[0.99515855,0.000068029825,0.0006994463,0.0002699183,0.00011106353,0.00027160748,0.00016070293,0.000002864558,0.003257823],"genre_scores_gemma":[0.99952984,0.00003160743,0.00018979689,0.000075451004,0.000010533774,0.0000026669393,0.00013843838,0.0000013353098,0.000020331367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989024,0.00016168752,0.0005118591,0.00007588119,0.00025349847,0.000094695],"domain_scores_gemma":[0.99919254,0.0001994985,0.0003433838,0.00014954177,0.00010349994,0.000011523287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047351155,0.000077176446,0.00016260069,0.000074702526,0.00004702476,0.000016970656,0.00026472064,0.000049009144,0.0004052166],"category_scores_gemma":[0.000112503374,0.00003881352,0.000049841485,0.0002947358,0.00009489341,0.00047792177,0.000016967104,0.00011986586,0.000006118923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023502173,0.000103723956,0.94782233,0.00028290303,0.000017893315,4.148915e-7,0.017173639,0.0101070395,0.0016652932,0.0008535962,0.000024745828,0.021713397],"study_design_scores_gemma":[0.00017956852,0.00013587202,0.9687585,0.000121269506,0.000011159544,0.0000054144048,0.0012953507,0.025711345,0.0031292357,0.00049559603,0.000109204324,0.00004747919],"about_ca_topic_score_codex":0.0008127571,"about_ca_topic_score_gemma":0.0030142935,"teacher_disagreement_score":0.021665918,"about_ca_system_score_codex":0.0000038292587,"about_ca_system_score_gemma":0.000028683613,"threshold_uncertainty_score":0.44368377},"labels":[],"label_agreement":null},{"id":"W2997190361","doi":"10.1190/int-2019-0027.1","title":"Application of sparse-layer inversion and harmonic bandwidth extension for a channel system in Southern Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"Interpretation","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":"Bandwidth (computing); Inversion (geology); Broadband; Seismic inversion; Geology; Wideband; Seismic trace; Bandwidth extension; Azimuth; Algorithm; Computer science; Optics; Seismology; Physics; Telecommunications; Artificial intelligence","score_opus":0.008244466658997956,"score_gpt":0.194340122747413,"score_spread":0.18609565608841505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997190361","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":[0.9911923,0.000112298934,0.0069622463,0.00014853891,0.00015910045,0.00039355474,0.000025607304,0.000017409602,0.0009889865],"genre_scores_gemma":[0.99928355,0.0000036110855,0.00022907209,0.00024057263,0.000008122406,0.0000039901556,0.00006295913,0.000002774523,0.00016532734],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994682,0.00002532407,0.00015658721,0.00016131469,0.00009624692,0.0000922905],"domain_scores_gemma":[0.99964476,0.000104976236,0.00009142109,0.00009179164,0.000040829298,0.000026239362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014365019,0.00006387389,0.000108762586,0.00007364478,0.00002192956,0.000008493676,0.000059178572,0.000036583402,0.000024519615],"category_scores_gemma":[0.000017636105,0.000055944867,0.000018067694,0.000066206405,0.000013652789,0.00009871405,0.000004861078,0.00003999355,0.000014872106],"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":[0.0017409034,0.000049821083,0.47619188,0.001492814,0.000054519238,0.0000050372596,0.014249309,0.00794563,0.007843838,0.00028521972,0.0062765316,0.4838645],"study_design_scores_gemma":[0.00024128427,0.000062578074,0.00801019,0.00013577755,0.00000630635,0.000003841142,0.0018015691,0.98623514,0.0028748421,0.00012304397,0.00043303956,0.00007237556],"about_ca_topic_score_codex":0.7972735,"about_ca_topic_score_gemma":0.14540794,"teacher_disagreement_score":0.97828954,"about_ca_system_score_codex":0.000019276435,"about_ca_system_score_gemma":0.000042784624,"threshold_uncertainty_score":0.87018615},"labels":[],"label_agreement":null},{"id":"W3000615230","doi":"10.1190/int-2020-0106-fe.1","title":"After one thousand papers…","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BHP (Canada)","funders":"","keywords":"Computer science","score_opus":0.025737355397811065,"score_gpt":0.2172716125279503,"score_spread":0.19153425713013922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000615230","genre_codex":"other","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":[0.16825208,0.00038825252,0.0011445803,0.012776068,0.00039557624,0.00010501325,0.000021928397,0.0002707549,0.81664574],"genre_scores_gemma":[0.9913593,0.000003794767,0.00008342596,0.0061465213,0.0010550471,0.0000096858585,0.000010155826,0.000009224376,0.0013228258],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99958986,0.000022018607,0.00011135286,0.00010302263,0.00009197457,0.00008177699],"domain_scores_gemma":[0.99981344,0.000038902566,0.00003435832,0.000038607133,0.000033984525,0.000040712806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000061677376,0.00005150441,0.000061843246,0.000017282548,0.000057125726,0.00020547355,0.00006862386,0.00002684609,0.0025218006],"category_scores_gemma":[0.00009116313,0.0000472111,0.000031405205,0.000013545043,0.00003612628,0.00031958747,0.000016243323,0.00012936932,0.00018318673],"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":[0.00029975196,0.000036831745,0.0013346234,0.0001378006,0.00006722226,0.000009674689,0.79077023,0.000038027185,0.0016454624,0.077558964,0.035787135,0.09231428],"study_design_scores_gemma":[0.00029046825,0.000119395554,0.00079918944,0.00015519791,0.000041594372,0.000001756618,0.009288989,0.0039490815,0.00022655401,0.0026238747,0.9822379,0.00026599897],"about_ca_topic_score_codex":0.000023632601,"about_ca_topic_score_gemma":0.000024138793,"teacher_disagreement_score":0.94645077,"about_ca_system_score_codex":0.000007752558,"about_ca_system_score_gemma":0.00000700258,"threshold_uncertainty_score":0.99839},"labels":[],"label_agreement":null},{"id":"W3005786191","doi":"10.1190/int-2019-0182.1","title":"Permeability inversion using induced microseismicity: A case study for the Longmaxi shale gas reservoir","year":2020,"lang":"en","type":"article","venue":"Interpretation","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":"Petro-Canada","funders":"Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California; China Scholarship Council; Consejo Nacional de Ciencia y Tecnología; Curtin University of Technology","keywords":"Thermal diffusivity; Permeability (electromagnetism); Poromechanics; Geology; Microseism; Biot number; Fluid dynamics; Hydraulic fracturing; Mechanics; Porous medium; Geotechnical engineering; Thermodynamics; Chemistry; Porosity; Physics; Seismology","score_opus":0.07006506357873991,"score_gpt":0.2948524364273387,"score_spread":0.2247873728485988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005786191","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":[0.98693013,0.000057295958,0.009579198,0.0022968114,0.00019052815,0.0007277908,0.000029185336,0.00009762817,0.00009144812],"genre_scores_gemma":[0.99469566,0.0000022702482,0.0007316541,0.004465423,0.00006680057,0.0000042680313,0.000019210962,0.000004559959,0.000010168288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907506,0.00013059126,0.000207171,0.00027823105,0.00015052334,0.00015842923],"domain_scores_gemma":[0.99929655,0.0002809828,0.00008615898,0.00017713099,0.000089549045,0.000069612426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038496323,0.00010997512,0.00011945174,0.00004465951,0.00030940512,0.00009280019,0.0001984918,0.000044581877,0.00013406115],"category_scores_gemma":[0.0002381206,0.00007945173,0.00007162657,0.00016941513,0.000054000953,0.0002822162,0.000025319923,0.00014714178,0.000020974401],"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":[0.00145408,0.00020978817,0.39349234,0.0002012419,0.00017139176,0.0004100962,0.097516425,0.007477101,0.006325821,0.0000071285253,0.014949052,0.47778553],"study_design_scores_gemma":[0.00026529407,0.00038540637,0.0011499051,0.000015352638,0.00003849305,0.0000801898,0.012941138,0.98199433,0.0022548044,0.0001361068,0.0006343673,0.00010459554],"about_ca_topic_score_codex":0.018133601,"about_ca_topic_score_gemma":0.00025004678,"teacher_disagreement_score":0.9745172,"about_ca_system_score_codex":0.000015192657,"about_ca_system_score_gemma":0.00004144701,"threshold_uncertainty_score":0.98840475},"labels":[],"label_agreement":null},{"id":"W3005860582","doi":"10.1190/int-2019-0091.1","title":"Definition of the Churchill River Delta and its petroleum potential, offshore Labrador, Canada","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration 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":true,"ca_institutions":"Nalcor Energy (Canada)","funders":"","keywords":"Cenozoic; Geology; Delta; Submarine pipeline; Structural basin; Paleontology; Seismic survey; Petroleum; Seismology; Oceanography","score_opus":0.008211605577549679,"score_gpt":0.18133520526945704,"score_spread":0.17312359969190735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005860582","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":[0.98726255,0.00033359483,0.009023115,0.0014352876,0.00013522086,0.0000682819,0.000030382462,0.000040180377,0.0016713693],"genre_scores_gemma":[0.99955606,0.000045549812,0.00006501636,0.00027099866,0.000020819332,0.0000035981566,0.000020613628,0.000008612291,0.000008739292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995613,0.000025901561,0.00014168193,0.00007409977,0.00013649698,0.000060493883],"domain_scores_gemma":[0.9998189,0.000011797558,0.000031684136,0.00006151168,0.00003524415,0.000040858315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000022592965,0.0000622175,0.00008395809,0.000023556902,0.000026334688,0.000010609106,0.000071689996,0.0000256429,0.000027719416],"category_scores_gemma":[0.00003114837,0.000048703256,0.000035653364,0.00011525575,0.000014697007,0.00008602292,0.000017269504,0.000070904316,0.0000027487456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010724936,0.000036836787,0.0026242053,0.0005827111,0.0006312601,0.00001567734,0.018088821,0.8916137,0.06926378,0.0032637208,0.0071311197,0.0066408757],"study_design_scores_gemma":[0.00011685019,0.000011550702,0.0028127981,0.000020374871,0.000037841182,0.0000012121601,0.00018745048,0.9921713,0.004219749,0.00015235123,0.00020391625,0.00006462167],"about_ca_topic_score_codex":0.0043233098,"about_ca_topic_score_gemma":0.027758187,"teacher_disagreement_score":0.10055754,"about_ca_system_score_codex":0.00002334359,"about_ca_system_score_gemma":0.000026018499,"threshold_uncertainty_score":0.98998266},"labels":[],"label_agreement":null},{"id":"W3006058547","doi":"10.1190/int-2019-0068.1","title":"Crustal structure of the offshore Labrador margin into deep water from combined seismic reflection interpretation and gravity modeling","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Geophysical Studies","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":"Nalcor Energy (Canada); Memorial University of Newfoundland","funders":"","keywords":"Geology; Cretaceous; Continental margin; Paleontology; Basement; Passive margin; Seismology; Rift; Structural basin; Tectonics","score_opus":0.009266687513507286,"score_gpt":0.20155545778090264,"score_spread":0.19228877026739535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006058547","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":[0.9897012,0.000081552644,0.0080162035,0.0017486565,0.00015069147,0.00013783062,0.000026311176,0.000022155371,0.000115361],"genre_scores_gemma":[0.99917763,0.0000035119372,0.00018869912,0.00047824087,0.00004069274,7.880625e-7,0.000100534184,0.000001975929,0.00000790303],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928385,0.0000923143,0.00018367417,0.00019810617,0.00013823087,0.000103807004],"domain_scores_gemma":[0.9997334,0.000059882856,0.000055974262,0.000062643456,0.000045929515,0.00004216167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034092358,0.000106424355,0.00015582521,0.000014768726,0.00010544195,0.000028456298,0.000100582816,0.000055473323,0.00014755086],"category_scores_gemma":[0.000057512523,0.000055805667,0.000049729482,0.00010599511,0.000076099,0.00015025261,0.000033481436,0.00013679366,0.000020965943],"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":[0.002795559,0.000032736203,0.19637449,0.0001915276,0.00016341504,0.000002973053,0.065325394,0.28440168,0.020384591,0.00007366884,0.000035270165,0.4302187],"study_design_scores_gemma":[0.00017010112,0.00021920893,0.09574029,0.000015802882,0.000028524102,4.3024517e-7,0.00039286687,0.881764,0.003134169,0.018448815,0.000011286138,0.00007451359],"about_ca_topic_score_codex":0.0042792107,"about_ca_topic_score_gemma":0.0032356933,"teacher_disagreement_score":0.59736234,"about_ca_system_score_codex":0.0000036744566,"about_ca_system_score_gemma":0.0000038019728,"threshold_uncertainty_score":0.6468915},"labels":[],"label_agreement":null},{"id":"W3006538445","doi":"10.1190/int-2019-0150.1","title":"Predicting oil saturation of shale-oil reservoirs using nuclear magnetic resonance logs","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"Natural Science Foundation of Xinjiang Province","keywords":"Oil shale; Saturation (graph theory); Shale oil; Water saturation; Wetting; Tight oil; Geology; Petroleum reservoir; Petroleum engineering; Mineralogy; Chemistry; Materials science; Geotechnical engineering; Porosity; Mathematics; Composite material; Paleontology","score_opus":0.013225506945197052,"score_gpt":0.29479523284939163,"score_spread":0.2815697259041946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006538445","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":[0.9753087,0.00015511023,0.0076304213,0.00053989,0.000055083925,0.00004776029,0.000031763477,0.00004013792,0.01619109],"genre_scores_gemma":[0.9969838,0.0000041029125,0.0026219215,0.00008307981,0.00015931972,0.000009659922,0.000022508713,0.000012103643,0.00010347046],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993551,0.000029112056,0.00023261958,0.00017344282,0.000106344196,0.00010337557],"domain_scores_gemma":[0.9996151,0.000032805467,0.00013211614,0.000118050535,0.000061746665,0.000040195184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044113225,0.00007925854,0.000101391495,0.000023423434,0.00007586537,0.000031017942,0.00011090441,0.000025781028,0.00020081809],"category_scores_gemma":[0.00001663484,0.00008490743,0.0000502689,0.00015710866,0.00003442548,0.00018534606,0.000029733354,0.000109712375,0.000022389953],"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":[0.0003538113,0.00017310432,0.05420254,0.00018615986,0.000056511064,0.0000012563243,0.018268052,0.0034192293,0.52955365,0.058592405,0.0005217647,0.3346715],"study_design_scores_gemma":[0.00066095585,0.00022695654,0.0062749214,0.00032649454,0.00008244817,0.0000013262786,0.002075768,0.95236164,0.03130097,0.002808565,0.003573052,0.00030690889],"about_ca_topic_score_codex":0.00014248744,"about_ca_topic_score_gemma":0.0000039748147,"teacher_disagreement_score":0.9489424,"about_ca_system_score_codex":0.000017913875,"about_ca_system_score_gemma":0.000022567841,"threshold_uncertainty_score":0.34624243},"labels":[],"label_agreement":null},{"id":"W3006544552","doi":"10.1190/int-2019-0087.1","title":"Conjugate margins — An oversimplification of the complex southern North Atlantic rift and spreading system?","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; McMaster University","funders":"","keywords":"Rift; Geology; Paleontology; Continental margin; Passive margin; Subduction; Tectonics; Isochron dating; Plate tectonics; Magmatism; Extensional tectonics; Margin (machine learning); Extensional definition; Transform fault; Seismology; Isochron; Geochemistry","score_opus":0.018231014561343982,"score_gpt":0.19235256812135076,"score_spread":0.17412155356000678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006544552","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":[0.99768573,0.00001870653,0.00085231476,0.00044283748,0.000020012692,0.00006677464,0.000049016504,0.000016867501,0.0008477521],"genre_scores_gemma":[0.9995489,0.0000016408341,0.00008274483,0.00023425555,0.000018542163,2.9182902e-7,0.00010668376,8.1484575e-7,0.000006109202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995199,0.00005586081,0.00013522859,0.00012743264,0.00009284268,0.00006875433],"domain_scores_gemma":[0.999715,0.000049273553,0.00008479141,0.00006694545,0.000028582963,0.00005546134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044620407,0.000053105672,0.000096265074,0.000011608277,0.00005148133,0.00001861707,0.000102745755,0.000019760802,0.00035127197],"category_scores_gemma":[0.0000350929,0.000032193366,0.000035449702,0.00011180225,0.000054489963,0.00006615613,0.0000096155145,0.000044648554,0.000044836786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030911928,0.0000033910524,0.9938049,0.000034788154,0.000013276128,3.8523632e-7,0.0011042994,0.0014058026,0.0014105769,0.00009374539,0.000008752879,0.0020892192],"study_design_scores_gemma":[0.000052472486,0.000036075657,0.6659999,0.000009737523,0.000025455282,0.0000011525168,0.00048117994,0.33304057,0.00011458911,0.00016946507,0.000032014264,0.000037409936],"about_ca_topic_score_codex":0.0021320495,"about_ca_topic_score_gemma":0.002193935,"teacher_disagreement_score":0.3316348,"about_ca_system_score_codex":0.0000013165418,"about_ca_system_score_gemma":0.000003898764,"threshold_uncertainty_score":0.38461816},"labels":[],"label_agreement":null},{"id":"W3018037234","doi":"10.1190/int-2020-0406-spseintro.1","title":"Introduction to special section: Atlantic margin of Canada","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"ARC Resources (Canada); Nalcor Energy (Canada); Equinor (Canada); Technical University of Nova Scotia; BP (Canada); Cancer Care Nova Scotia","funders":"","keywords":"Section (typography); Margin (machine learning); Special section; Geology; Oceanography; History; Computer science; Engineering; Engineering physics","score_opus":0.009605049567002007,"score_gpt":0.17493191013305534,"score_spread":0.16532686056605334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018037234","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":[0.94581485,0.00002908195,0.0074650543,0.03503344,0.0027701503,0.00016189764,0.000009532794,0.000021436343,0.008694549],"genre_scores_gemma":[0.9951932,0.000003333514,0.0001906335,0.00061935897,0.0039059669,5.809314e-7,0.000041817464,6.6043185e-7,0.000044488446],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9995611,0.000020512942,0.000119051656,0.00011002778,0.00011470535,0.00007465799],"domain_scores_gemma":[0.9998228,0.000019675057,0.000036140624,0.000030635794,0.00003946242,0.00005128879],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000041304116,0.00004118842,0.000070102775,0.000011907049,0.00004313694,0.000009416809,0.00004046646,0.000015087825,0.0025376366],"category_scores_gemma":[0.00010524878,0.000034057965,0.000014256283,0.00013744301,0.000008878481,0.00007065569,0.0000044408703,0.000036585006,0.00006489907],"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":[0.00090631464,0.000013983505,0.20662075,0.00006186191,0.000047746456,0.0000075808057,0.0054000462,0.13376886,0.00053307426,0.00024121333,0.5281394,0.12425919],"study_design_scores_gemma":[0.00019349877,0.0007288648,0.73397833,0.0000126727655,0.000015849195,0.000004024382,0.0012038279,0.07074362,0.00068180053,0.0002762675,0.19196895,0.00019228688],"about_ca_topic_score_codex":0.114085995,"about_ca_topic_score_gemma":0.51048017,"teacher_disagreement_score":0.5273576,"about_ca_system_score_codex":0.0000064896917,"about_ca_system_score_gemma":0.000023566803,"threshold_uncertainty_score":0.99837416},"labels":[],"label_agreement":null},{"id":"W3019488543","doi":"10.1190/int-2020-0407-fe.1","title":"Making <i>Interpretation</i> more diverse","year":2020,"lang":"it","type":"article","venue":"Interpretation","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BHP (Canada)","funders":"","keywords":"Interpretation (philosophy); Epistemology; Philosophy; Linguistics","score_opus":0.11130855244977336,"score_gpt":0.43892829097513403,"score_spread":0.32761973852536064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019488543","genre_codex":"commentary","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":[0.10388041,0.0062789144,0.24099767,0.3381791,0.016960094,0.0077853496,0.001179972,0.0030617747,0.28167668],"genre_scores_gemma":[0.9459753,0.00021749189,0.0016553263,0.049860783,0.0008566327,0.0001791771,0.0001832349,0.000119733944,0.00095233246],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934196,0.0022848933,0.00185389,0.0008915915,0.00067629694,0.000873715],"domain_scores_gemma":[0.99498683,0.0014578905,0.0011698676,0.0009784373,0.00095688214,0.00045007627],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007595234,0.0005519935,0.000668696,0.00020205804,0.0011892292,0.0001438242,0.0011333341,0.0006351059,0.002836941],"category_scores_gemma":[0.0022920878,0.0006017379,0.00035941286,0.00062129163,0.00022587719,0.00058152236,0.0006381699,0.0023154458,0.0052644764],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034050788,0.00017839111,0.013117429,0.0029016184,0.00035757115,0.000040288807,0.8235073,0.0018361468,0.00046320245,0.0075998837,0.055378057,0.09121501],"study_design_scores_gemma":[0.0016295166,0.0007888272,0.00305307,0.00913645,0.00034765594,0.000012438071,0.1456097,0.79742163,0.00014468779,0.0013900344,0.039241686,0.0012242972],"about_ca_topic_score_codex":0.00024096634,"about_ca_topic_score_gemma":0.00004950077,"teacher_disagreement_score":0.8420949,"about_ca_system_score_codex":0.00050858484,"about_ca_system_score_gemma":0.00050663913,"threshold_uncertainty_score":0.99998623},"labels":[],"label_agreement":null},{"id":"W3033164652","doi":"10.1190/int-2019-0170.1","title":"Analysis of the internal architectural elements of tidal-influenced meandering fluvial deposits using well logging and seismic data: The study of the Athabasca Oil Sands, Alberta, Canada","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Geology; Fluvial; Sedimentary rock; Bedding; Point bar; Accretion (finance); Geomorphology; Hydrocarbon exploration; Well logging; Siltstone; Outcrop; Sedimentary structures; Paleontology; Petrology; Sedimentary depositional environment; Facies; Geophysics; Structural basin","score_opus":0.016197504165562742,"score_gpt":0.22793929152004722,"score_spread":0.21174178735448448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033164652","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":[0.9989968,0.000057071255,0.0004470501,0.00015049985,0.00006501468,0.000075653516,0.0000360369,0.0000015095119,0.00017035211],"genre_scores_gemma":[0.99980444,0.0000019376362,0.000033622124,0.00013276374,0.000006977522,3.0074736e-7,0.000013823582,8.350402e-7,0.000005316523],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992466,0.00009884446,0.00028136454,0.00010291848,0.00019901647,0.000071238064],"domain_scores_gemma":[0.9994057,0.00016994392,0.0002278757,0.00014385165,0.00003399373,0.000018642275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173942,0.00006042295,0.00012434891,0.000025417356,0.00010040324,0.00001761852,0.00037372453,0.000011637213,0.000042148775],"category_scores_gemma":[0.000066215885,0.000028335226,0.000031576863,0.00026424727,0.00005088348,0.0001115098,0.000079337544,0.000073710624,1.4834313e-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":[0.000039587732,0.000005331968,0.827373,0.00003072972,0.0001610637,1.2910412e-7,0.005019316,0.15980396,0.000121066485,6.534576e-7,0.000002144404,0.007443008],"study_design_scores_gemma":[0.00007838402,0.000033205597,0.44507623,0.000022214417,0.00015554605,0.0000012842405,0.0013938545,0.552761,0.00044188905,0.0000054129437,0.000006671002,0.00002430304],"about_ca_topic_score_codex":0.48971027,"about_ca_topic_score_gemma":0.7725463,"teacher_disagreement_score":0.39295703,"about_ca_system_score_codex":0.0000034609027,"about_ca_system_score_gemma":0.000056890054,"threshold_uncertainty_score":0.5136878},"labels":[],"label_agreement":null},{"id":"W3034567650","doi":"10.1190/int-2019-0187.1","title":"Northeast British Columbia Liard Basin: A seismic stratigraphy study","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of British Columbia; Geological Survey of Canada","funders":"","keywords":"Stratigraphy; Geology; Paleontology; Paleozoic; Structural basin; Devonian; Mesozoic; Sequence stratigraphy; Sedimentary depositional environment; Tectonics","score_opus":0.01039639997475803,"score_gpt":0.20339052242783198,"score_spread":0.19299412245307396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034567650","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":[0.98410815,0.00007190611,0.004795647,0.00059528626,0.0001799349,0.00029328783,0.000059380513,0.00026533403,0.00963105],"genre_scores_gemma":[0.99346024,0.0000074375807,0.00038327245,0.005930741,0.00005574391,0.000002406039,0.00005585826,0.0000035885969,0.000100733894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915457,0.000086939195,0.00018980126,0.00024386321,0.0001892618,0.00013554719],"domain_scores_gemma":[0.99967134,0.000033608205,0.00006120548,0.00009231955,0.000044522505,0.00009700856],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011003311,0.00007032119,0.00012144337,0.000027971397,0.000105445244,0.000373696,0.00015632312,0.000030975003,0.0014359344],"category_scores_gemma":[0.000041648105,0.00009857997,0.000058874426,0.00019993108,0.000041464933,0.00028108468,0.000006322335,0.0001224868,0.00015513146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023728064,0.000025457104,0.710203,0.000009555824,0.000018041354,0.000022282331,0.0016067352,0.00012172541,0.00000484672,4.0070944e-7,0.032565758,0.25539845],"study_design_scores_gemma":[0.00036710492,0.00091023126,0.58513916,0.0000557417,0.000030609448,0.000021585482,0.0027490864,0.39985257,0.00003691518,0.00052142044,0.010063738,0.0002518283],"about_ca_topic_score_codex":0.09825538,"about_ca_topic_score_gemma":0.014353208,"teacher_disagreement_score":0.39973083,"about_ca_system_score_codex":0.0000025345794,"about_ca_system_score_gemma":0.000025179104,"threshold_uncertainty_score":0.9994769},"labels":[],"label_agreement":null},{"id":"W3034689780","doi":"10.1190/int-2019-0243.1","title":"Conglomerate petrology characterization using high-definition borehole electrical images in the Upper Urho Formation at well JL42, Zhongguai Uplift, Junggar Basin, China","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Geology; Facies; Conglomerate; Sedimentary depositional environment; Borehole; Petrology; Sedimentary rock; Structural basin; Fluvial; Paleontology","score_opus":0.010652662327795237,"score_gpt":0.21240040744428793,"score_spread":0.20174774511649268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034689780","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":[0.85510635,0.00006035411,0.14141858,0.001976519,0.00014085518,0.00021357284,0.000020194606,0.0001376931,0.00092587055],"genre_scores_gemma":[0.99743515,0.000103026636,0.00023060908,0.0011300907,0.00011181485,0.00003335473,0.0009142096,0.00002727607,0.000014453184],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987606,0.00019149615,0.00042508275,0.00019648737,0.00021385035,0.00021250742],"domain_scores_gemma":[0.99961627,0.00004448923,0.00010246795,0.00013120318,0.00005282588,0.00005273485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001667299,0.0001733994,0.00021194758,0.00020693926,0.0000948894,0.00010028362,0.00013794666,0.0001085956,0.00012440486],"category_scores_gemma":[0.000060871167,0.00014698485,0.00008279244,0.00057209877,0.00002754257,0.00067979755,0.000021056412,0.00022353359,0.00014433844],"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":[0.00045462334,0.00015459683,0.004338503,0.00024099536,0.00018085504,0.000045011246,0.025797123,0.23477374,0.72344154,0.0008329168,0.0019184225,0.007821697],"study_design_scores_gemma":[0.00039797634,0.00006668864,0.008932222,0.000020114001,0.000048241443,0.000010024061,0.00011890456,0.9740116,0.015507025,0.00010882491,0.00060671516,0.0001716421],"about_ca_topic_score_codex":0.000022880316,"about_ca_topic_score_gemma":0.000022152426,"teacher_disagreement_score":0.7392379,"about_ca_system_score_codex":0.00014639198,"about_ca_system_score_gemma":0.000012546166,"threshold_uncertainty_score":0.5993868},"labels":[],"label_agreement":null},{"id":"W3035017199","doi":"10.1190/int-2019-0169.1","title":"Sedimentary sequence and architecture analysis by integrating multidiscipline data — An example of a sandy conglomerate reservoir in the Qie12 block, Qaidam Basin, northwest China","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","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":"Petro-Canada","funders":"National Science and Technology Major Project","keywords":"Geology; Alluvial fan; Sedimentary rock; Conglomerate; Petrophysics; Alluvium; Architecture; Geomorphology; Sedimentary structures; Structural basin; Channel (broadcasting); Sequence (biology); Petrology; Paleontology; Facies; Geotechnical engineering; Archaeology; Porosity; Engineering","score_opus":0.042244079439580466,"score_gpt":0.27404435296324436,"score_spread":0.2318002735236639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035017199","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":[0.9943766,0.00025085156,0.0029938323,0.0013777238,0.000014753978,0.00013254973,0.0006748484,0.000011937705,0.00016692023],"genre_scores_gemma":[0.9934908,0.000025078627,0.001855966,0.0005092931,0.0000145730055,0.0000015991601,0.004099747,0.0000012385776,0.0000016797932],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907357,0.000163562,0.00026489003,0.00024512905,0.000146251,0.00010660706],"domain_scores_gemma":[0.99940336,0.00020471861,0.00010796354,0.00019892816,0.00003256897,0.00005246541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003763367,0.00009278692,0.00015836333,0.00006381505,0.00008538169,0.00006455887,0.0003367629,0.000031418956,0.00017540857],"category_scores_gemma":[0.00011112093,0.000055846012,0.000020464027,0.0005918512,0.000076963675,0.00045525777,0.00003208111,0.00014836289,0.0000022272036],"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":[0.00014557049,0.000035936133,0.89423615,0.00006527716,0.00007335478,0.0000043545865,0.029343711,0.043649312,0.00031212682,0.000012754573,0.00008216522,0.0320393],"study_design_scores_gemma":[0.00015665204,0.00025928614,0.36448002,0.000020120133,0.0000683939,0.0000043698406,0.0024270392,0.63191295,0.00009790687,0.00020967178,0.00026878776,0.00009479469],"about_ca_topic_score_codex":0.029025178,"about_ca_topic_score_gemma":0.04487482,"teacher_disagreement_score":0.58826363,"about_ca_system_score_codex":0.0000014107811,"about_ca_system_score_gemma":0.000016246488,"threshold_uncertainty_score":0.97744066},"labels":[],"label_agreement":null},{"id":"W3035812168","doi":"10.1190/int-2019-0294.1","title":"Seismic reservoir characterization of Bone Spring and Wolfcamp Formations in the Delaware Basin — A case study: Part 1","year":2020,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Trusted Positioning (Canada)","funders":"","keywords":"Inversion (geology); Structural basin; Geology; Seismic inversion; Reservoir modeling; Hydrocarbon exploration; Seismology; Petroleum engineering; Paleontology","score_opus":0.02155549535408617,"score_gpt":0.23664324494161657,"score_spread":0.2150877495875304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035812168","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":[0.99194866,0.000025659438,0.0059872507,0.0015379727,0.000036222737,0.00023137298,0.000016665632,0.000029662535,0.00018650047],"genre_scores_gemma":[0.99815655,0.0000116731935,0.00016536131,0.0016019352,0.00001473642,0.0000033764268,0.00004131119,0.0000015994282,0.0000034502125],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994049,0.00011770893,0.00020950982,0.00009842624,0.00010147921,0.00006794537],"domain_scores_gemma":[0.9997264,0.00006603705,0.00008248813,0.0000748434,0.00002745316,0.000022781374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027123897,0.00005318885,0.00008201021,0.00006451553,0.000058565358,0.00003713857,0.00006363821,0.00001957513,0.00003999451],"category_scores_gemma":[0.000059780734,0.00004064065,0.0000160878,0.00017234405,0.000024613943,0.0003658079,0.000008157569,0.00007960456,0.0000061615324],"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":[0.00011662032,0.00005834053,0.76118004,0.00010484974,0.000016971147,0.00015553331,0.11248362,0.0012044247,0.00035409306,0.0000137429115,0.00042028163,0.12389145],"study_design_scores_gemma":[0.00019713922,0.00019185818,0.09707809,0.00005510264,0.0000123589225,0.00009824499,0.013460599,0.8875693,0.00028357393,0.00006442962,0.0009160352,0.000073289455],"about_ca_topic_score_codex":0.003927987,"about_ca_topic_score_gemma":0.000265406,"teacher_disagreement_score":0.8863649,"about_ca_system_score_codex":0.0000025482434,"about_ca_system_score_gemma":0.000010992289,"threshold_uncertainty_score":0.5937968},"labels":[],"label_agreement":null},{"id":"W3035819376","doi":"10.1190/int-2019-0262.1","title":"Integrated geophysical analysis provides an alternate interpretation of the northern margin of the North American Midcontinent Rift System, Central Lake Superior","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Rift; Seismology; Fault (geology); Paleontology; Yilgarn Craton; Gravity anomaly; Craton; Tectonics","score_opus":0.007269586593506652,"score_gpt":0.21281804512644545,"score_spread":0.2055484585329388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035819376","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":[0.9932918,0.000024685656,0.005389085,0.0005672087,0.00015950656,0.0002863571,0.00016101319,0.000027275653,0.0000930882],"genre_scores_gemma":[0.9992926,0.0000012755595,0.00036347602,0.00018680823,0.000054283042,0.0000037409325,0.0000805004,0.0000046580626,0.000012651865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981291,0.00056419225,0.00045600528,0.00028210136,0.00035032572,0.00021825676],"domain_scores_gemma":[0.99895,0.00015880635,0.00038659913,0.0002414551,0.00015748043,0.00010565068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011111475,0.00016276358,0.00038331546,0.000056130262,0.00006294567,0.00003708592,0.00048151807,0.000028750666,0.00004197105],"category_scores_gemma":[0.00017674496,0.000087008484,0.000392734,0.0015553659,0.00023299037,0.0001684171,0.000027020944,0.00019225426,0.000009140296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002888632,0.000039643684,0.8229806,0.000053940377,0.00021396182,6.324432e-7,0.0024902292,0.01778653,0.00031456415,0.000020653819,0.0000029996172,0.1558074],"study_design_scores_gemma":[0.000066918554,0.00017753671,0.5800476,0.000021412341,0.00017843947,3.9295185e-7,0.00019566141,0.41866308,0.000545558,0.00002524382,0.00001730798,0.000060860486],"about_ca_topic_score_codex":0.0056779343,"about_ca_topic_score_gemma":0.037473522,"teacher_disagreement_score":0.40087655,"about_ca_system_score_codex":0.000009174783,"about_ca_system_score_gemma":0.000050324143,"threshold_uncertainty_score":0.9800901},"labels":[],"label_agreement":null},{"id":"W3036087272","doi":"10.1190/int-2020-0035.1","title":"Azimuthal P-P prestack amplitudes in the presence of oil-filled aligned porosity (fracture porosity)","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Gimbel Eye Centre","funders":"","keywords":"Azimuth; Amplitude; Porosity; Geology; Perpendicular; Bin; Mineralogy; Borehole; Fracture (geology); Geometry; Physics; Optics; Geotechnical engineering; Mathematics","score_opus":0.015810476910815795,"score_gpt":0.2342854785901665,"score_spread":0.2184750016793507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036087272","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":[0.9693517,0.00029898237,0.010886205,0.005899921,0.00014128227,0.000216197,0.00004751274,0.00010890036,0.0130493],"genre_scores_gemma":[0.9942341,0.00002286026,0.000506665,0.00511761,0.00002680415,0.0000015114231,0.00004835605,0.0000019831668,0.000040151444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991071,0.00015722986,0.00021099624,0.00017910729,0.00022215345,0.00012338205],"domain_scores_gemma":[0.99947006,0.00020584297,0.000109265326,0.00013587256,0.000040799718,0.000038162638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024474505,0.00008906135,0.0001258216,0.000049847687,0.00004197601,0.000044465163,0.00031708193,0.000049050872,0.0003265177],"category_scores_gemma":[0.00019112164,0.000061616876,0.000048733153,0.0002016632,0.0000741389,0.0002726667,0.00001139474,0.00010551109,0.000022650389],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012941816,0.00017177722,0.5820659,0.00040841987,0.00006238364,0.00006237647,0.08077533,0.010146077,0.0060101734,0.00029338835,0.035675257,0.28303474],"study_design_scores_gemma":[0.0010137,0.0009097422,0.58139133,0.00033176146,0.000056258752,0.000026087713,0.00470998,0.33388492,0.056466937,0.0035467683,0.017055865,0.00060662196],"about_ca_topic_score_codex":0.0026168665,"about_ca_topic_score_gemma":0.0000707858,"teacher_disagreement_score":0.32373884,"about_ca_system_score_codex":0.0000032749672,"about_ca_system_score_gemma":0.000022866803,"threshold_uncertainty_score":0.39559367},"labels":[],"label_agreement":null},{"id":"W3036493650","doi":"10.1190/int-2020-0002.1","title":"Seismic reservoir characterization of the Bone Spring and Wolfcamp Formations in the Delaware Basin: Challenges and uncertainty in characterization using rock physics — A case study: Part 2","year":2020,"lang":"en","type":"article","venue":"Interpretation","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; Trusted Positioning (Canada)","funders":"","keywords":"Lithology; Seismic inversion; Geology; Reservoir modeling; Porosity; Structural basin; Inversion (geology); Prestack; Characterization (materials science); Seismic to simulation; Petrology; Seismology; Petroleum engineering; Geotechnical engineering; Geomorphology; Geometry","score_opus":0.036483650376855345,"score_gpt":0.24171076448861803,"score_spread":0.2052271141117627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036493650","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":[0.99431723,0.000075468495,0.00367294,0.0014794203,0.000043107062,0.00035490646,0.000018406787,0.000016000851,0.000022545179],"genre_scores_gemma":[0.9990394,0.00012389752,0.000040788687,0.00072693516,0.000022105667,0.000003946756,0.000039264123,0.0000026878715,9.635455e-7],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992259,0.00020712575,0.0002313509,0.0001367513,0.000114572555,0.00008428129],"domain_scores_gemma":[0.99966,0.00006263235,0.00013428382,0.000092134345,0.00003218404,0.000018759629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026312715,0.0000773916,0.00010815553,0.000052187246,0.000083118575,0.000039432336,0.000075632204,0.000029600029,0.000004498732],"category_scores_gemma":[0.000050172996,0.000054479417,0.000015396403,0.00019527905,0.000026797275,0.0004893616,0.000019363039,0.00010979746,5.6884465e-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":[0.00015033134,0.00009937833,0.5014823,0.00027429019,0.000021013173,0.000044034437,0.23612809,0.016238414,0.0027961861,0.00003469123,0.000007803195,0.24272344],"study_design_scores_gemma":[0.00015196293,0.000055259447,0.16972949,0.00009702972,0.000008741326,0.000032308177,0.0073979488,0.8222107,0.00013406402,0.000061590006,0.00006587781,0.0000549813],"about_ca_topic_score_codex":0.0018612127,"about_ca_topic_score_gemma":0.00040778954,"teacher_disagreement_score":0.80597234,"about_ca_system_score_codex":0.0000071647855,"about_ca_system_score_gemma":0.000016356256,"threshold_uncertainty_score":0.28136092},"labels":[],"label_agreement":null},{"id":"W3041136985","doi":"10.1190/int-2019-0283.1","title":"Joint inversion of potential-fields data over the DO-27 kimberlite pipe using a Gaussian mixture model prior","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geophysical and Geoelectrical Methods","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":"Mira Geoscience (Canada); University of British Columbia","funders":"","keywords":"Kimberlite; Petrophysics; Geology; Magnetization; Pyroclastic rock; Remanence; Petrology; Felsic; Mineralogy; Magnetic susceptibility; Porosity; Geochemistry; Geophysics; Magnetic field; Mafic; Mantle (geology); Chemistry; Physics; Geotechnical engineering; Volcano","score_opus":0.03681434736570904,"score_gpt":0.2672335136563517,"score_spread":0.23041916629064263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041136985","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":[0.6683972,0.0002605336,0.32521838,0.0040858546,0.00024308458,0.00021559856,0.00006658219,0.00002633983,0.0014864407],"genre_scores_gemma":[0.99246156,0.000016789383,0.00612307,0.001222447,0.00008337841,1.8633804e-7,0.000049812934,0.0000023244488,0.000040418276],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990989,0.00014829033,0.00018422004,0.00021244098,0.00022072019,0.00013540601],"domain_scores_gemma":[0.9994876,0.00008544666,0.000093395414,0.00021422411,0.000035685673,0.00008366306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017184226,0.000082914536,0.00012676425,0.000026645892,0.00007217309,0.00003901885,0.000280664,0.00006440955,0.0002251626],"category_scores_gemma":[0.00016351942,0.00005358598,0.00005636968,0.00023008474,0.000045851975,0.00024412692,0.000041331852,0.0001700569,0.000025895826],"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":[0.0005153267,0.000048477315,0.0030618384,0.00014377886,0.00008576215,0.000010372144,0.010171037,0.1368587,0.008240185,0.0002852333,0.0024039997,0.8381753],"study_design_scores_gemma":[0.00009491587,0.00007488229,0.011062442,0.00002544623,0.00003545187,9.361597e-7,0.000065393586,0.9847484,0.00033331194,0.0032697658,0.00021910522,0.00006994662],"about_ca_topic_score_codex":0.00063586264,"about_ca_topic_score_gemma":0.00007240318,"teacher_disagreement_score":0.8478897,"about_ca_system_score_codex":0.000002422605,"about_ca_system_score_gemma":0.000038698163,"threshold_uncertainty_score":0.24653725},"labels":[],"label_agreement":null},{"id":"W3045286326","doi":"10.1190/int-2019-0103.1","title":"Replacing conventional brittleness indices determination with new attributes using true hydrofracturing mechanism","year":2020,"lang":"en","type":"article","venue":"Interpretation","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":"University of Calgary; Trusted Positioning (Canada)","funders":"","keywords":"Hydraulic fracturing; Brittleness; Geology; Shale gas; Oil shale; Modulus; Poisson distribution; Compaction; Fracture (geology); Petroleum engineering; Geotechnical engineering; Statistics; Mathematics; Materials science","score_opus":0.014673328291314222,"score_gpt":0.230408476794017,"score_spread":0.21573514850270276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045286326","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":[0.4534929,0.000065394415,0.545881,0.000108961794,0.000067654306,0.00007366935,0.0000031051911,0.00016210551,0.00014521259],"genre_scores_gemma":[0.99682593,0.0000069376415,0.0027972972,0.000100566394,0.00016096074,0.000008716577,0.00003784186,0.000029739933,0.00003200272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999152,0.000024053352,0.0002361625,0.00020467547,0.00022427822,0.00015883446],"domain_scores_gemma":[0.9996123,0.000058311485,0.00008056797,0.0001004446,0.000041151936,0.00010728174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008213981,0.00014581475,0.00017015211,0.0001090149,0.00007356711,0.00009056946,0.00010902098,0.00007328737,0.00007596184],"category_scores_gemma":[0.00005028735,0.00013657784,0.00006765778,0.0001758983,0.0000143034395,0.00041601915,0.000018531444,0.00015488143,0.000018126375],"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":[0.00004875131,0.00000788115,0.0007681165,0.00016580861,0.0001379633,0.000016217587,0.002035735,0.9721072,0.016054377,0.000016367845,0.00003498295,0.0086066425],"study_design_scores_gemma":[0.0002708855,0.000036896567,0.00046498602,0.00018924767,0.00006366739,0.000015825695,0.00011016901,0.89106286,0.10735479,0.0001601418,0.00010094246,0.0001695886],"about_ca_topic_score_codex":0.00009529169,"about_ca_topic_score_gemma":0.00003124498,"teacher_disagreement_score":0.54333305,"about_ca_system_score_codex":0.00007877627,"about_ca_system_score_gemma":0.000027540544,"threshold_uncertainty_score":0.5569483},"labels":[],"label_agreement":null},{"id":"W3093264930","doi":"10.1190/int-2019-0197.1","title":"Seismic-based characterization of reservoir heterogeneity within the Meramec interval of the STACK play, Central Oklahoma","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Petrophysics; Porosity; Calcite; Carbonate; Reservoir modeling; Seismic inversion; Drilling; Lithology; Petrology; Petroleum reservoir; Mineralogy; Diagenesis; Petroleum engineering; Geotechnical engineering","score_opus":0.01740541976244987,"score_gpt":0.22556046549849032,"score_spread":0.20815504573604046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093264930","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":[0.98140824,0.000017597631,0.014189275,0.0036595175,0.0002467992,0.0001778335,0.000102268794,0.00003377505,0.00016471856],"genre_scores_gemma":[0.99635357,0.0000025685408,0.00019461727,0.0033257317,0.000026568552,9.4637033e-7,0.0000823376,0.000003102937,0.000010546692],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990755,0.00018612189,0.00029004936,0.00013149665,0.00021686722,0.000100005964],"domain_scores_gemma":[0.9993865,0.00007031233,0.0002733593,0.00016728058,0.000067491084,0.00003505865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018051147,0.000082194994,0.000117073345,0.00002664957,0.000057333535,0.00002367168,0.0003193947,0.00003726756,0.00010464193],"category_scores_gemma":[0.00011014408,0.00004852508,0.000087067456,0.00016638901,0.00012787571,0.000157692,0.000018074099,0.00011813809,0.000006527697],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016703493,0.00009285785,0.7500298,0.00034513813,0.00014947826,0.0000026181688,0.027706672,0.068629816,0.09008192,0.000108288106,0.0034077025,0.057775375],"study_design_scores_gemma":[0.00009800652,0.00010564938,0.10014284,0.00005957718,0.000012061417,9.1929456e-7,0.00012968728,0.6806839,0.2183075,0.00006371923,0.0003493387,0.000046810677],"about_ca_topic_score_codex":0.00088352675,"about_ca_topic_score_gemma":0.000050343897,"teacher_disagreement_score":0.64988697,"about_ca_system_score_codex":0.0000054944358,"about_ca_system_score_gemma":0.00005085957,"threshold_uncertainty_score":0.19787954},"labels":[],"label_agreement":null},{"id":"W3094837795","doi":"10.1190/int-2020-0161.1","title":"Mississippian Meramec lithologies and petrophysical property variability, stack trend, Anadarko Basin, Oklahoma","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"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; Lithology; Petrophysics; Calcite; Diagenesis; Siltstone; Petroleum reservoir; Petrology; Permeability (electromagnetism); Well logging; Mineralogy; Geochemistry; Structural basin; Facies; Geomorphology; Paleontology; Porosity; Geotechnical engineering","score_opus":0.008689262366105023,"score_gpt":0.22314661623542983,"score_spread":0.21445735386932482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094837795","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":[0.9106869,0.00042324435,0.06510666,0.0033439742,0.00039181704,0.00016289085,0.000027664983,0.0005411493,0.019315686],"genre_scores_gemma":[0.99799484,0.00009431199,0.0011296351,0.00010949996,0.000043116146,0.00001476862,0.000049410857,0.00001726589,0.00054714904],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999136,0.00011830556,0.0002201892,0.00022620155,0.00015716789,0.00014218046],"domain_scores_gemma":[0.99954957,0.000067149995,0.000023426057,0.00021329107,0.00006501787,0.00008152421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010030466,0.00013106228,0.00019788234,0.000070300914,0.000052207193,0.00011767216,0.000069747235,0.00006679642,0.00011145961],"category_scores_gemma":[0.00016830387,0.000096904616,0.0000731583,0.00024207716,0.000050001858,0.00022188996,0.000034015,0.000132204,0.000013147573],"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":[0.00032566467,0.00074708456,0.016021201,0.0012802118,0.0019065028,0.0005188141,0.026828792,0.112604804,0.2077104,0.0024526508,0.01639903,0.61320484],"study_design_scores_gemma":[0.0003483128,0.00006757941,0.0064816326,0.000063675936,0.00010040194,0.000020272639,0.00083562656,0.96727806,0.014374798,0.0014561653,0.008630333,0.0003431505],"about_ca_topic_score_codex":0.000031884367,"about_ca_topic_score_gemma":0.00024156591,"teacher_disagreement_score":0.85467327,"about_ca_system_score_codex":0.000056465316,"about_ca_system_score_gemma":0.000028020653,"threshold_uncertainty_score":0.39516556},"labels":[],"label_agreement":null},{"id":"W3098950615","doi":"10.1190/int-2020-0037.1","title":"Seismic geomorphology anomalies within a Pliocene deepwater channel complex in the Taranaki Basin, offshore New Zealand","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":5,"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; Structural basin; Diapir; Submarine pipeline; Doming; Submarine canyon; Paleontology; Channel (broadcasting); Geomorphology; Beach morphodynamics; Seafloor spreading; Tectonics; Sediment; Oceanography; Sediment transport","score_opus":0.028216544398186435,"score_gpt":0.22650509371122868,"score_spread":0.19828854931304224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098950615","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":[0.9846074,0.00013988162,0.002437226,0.011404539,0.000087323744,0.00015777838,0.000039240556,0.000026156129,0.0011004442],"genre_scores_gemma":[0.9915279,0.000011735517,0.0002976626,0.007668397,0.000052178955,0.0000020148607,0.00038805354,0.0000016522064,0.000050363455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992865,0.00008660372,0.0002179981,0.00014672565,0.000108391316,0.0001537976],"domain_scores_gemma":[0.999694,0.000093502254,0.00006492988,0.00006762984,0.000025819103,0.000054136155],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014040315,0.00009398253,0.0001236133,0.000047051482,0.00006422498,0.000064759326,0.00020059246,0.000050197283,0.0015645764],"category_scores_gemma":[0.000055098528,0.000056738438,0.00002758409,0.000212655,0.00005272055,0.00020005245,0.000007840193,0.00011470586,0.00025801724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006026661,0.000037127895,0.6916591,0.00007710461,0.0000356536,0.000046200512,0.0726948,0.19525355,0.000046082994,0.0001143307,0.016454771,0.022978637],"study_design_scores_gemma":[0.00030071684,0.00029377034,0.5772499,0.000014563441,0.000010898007,0.000043509597,0.0012370029,0.4123577,0.00006671198,0.00367118,0.0046305386,0.00012349928],"about_ca_topic_score_codex":0.0021749258,"about_ca_topic_score_gemma":0.002548817,"teacher_disagreement_score":0.21710414,"about_ca_system_score_codex":0.0000017708464,"about_ca_system_score_gemma":0.00002307064,"threshold_uncertainty_score":0.9993481},"labels":[],"label_agreement":null},{"id":"W3110505241","doi":"10.1190/int-2020-0169.1","title":"Stratigraphic variability of Mississippian Meramec chemofacies and petrophysical properties using machine learning and geostatistical modeling, STACK trend, Anadarko Basin, Oklahoma","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Petrophysics; Structural basin; Stack (abstract data type); Geostatistics; Kriging; Mining engineering; Geomorphology; Geotechnical engineering; Spatial variability; Machine learning","score_opus":0.016490831043681552,"score_gpt":0.2327923790538838,"score_spread":0.21630154801020227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110505241","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":[0.68054926,0.00017736055,0.3184171,0.00047476898,0.000023667943,0.00004024881,0.000005744966,0.000024764682,0.00028710032],"genre_scores_gemma":[0.97765386,0.00001530726,0.022211129,0.00002750546,0.000009946072,0.000002260083,0.0000100019615,0.0000023254768,0.00006768581],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894327,0.00014936105,0.00025343208,0.00034854343,0.00016020075,0.00014519523],"domain_scores_gemma":[0.99944466,0.000095157135,0.00008086712,0.00015418779,0.0001565999,0.00006851276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019293705,0.0001244485,0.00020406845,0.00003641547,0.00010978277,0.00011066734,0.00009379317,0.000054301905,0.000015961421],"category_scores_gemma":[0.0005022103,0.00011229443,0.000033212942,0.00014753311,0.00012353575,0.00021514753,0.00011247262,0.00016248254,1.3487666e-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":[0.0003671325,0.0006129089,0.07972886,0.0024618986,0.00036944478,0.00014779689,0.022463586,0.0425752,0.6612527,0.029131593,0.0000233774,0.1608655],"study_design_scores_gemma":[0.00014497303,0.00005767341,0.0012540766,0.00007697439,0.000017638135,0.000035029116,0.0001780356,0.98393875,0.010481867,0.0036399849,0.000058336063,0.000116683426],"about_ca_topic_score_codex":0.00017209165,"about_ca_topic_score_gemma":0.0000519285,"teacher_disagreement_score":0.9413635,"about_ca_system_score_codex":0.000013425513,"about_ca_system_score_gemma":0.00006748054,"threshold_uncertainty_score":0.45792338},"labels":[],"label_agreement":null},{"id":"W3115468374","doi":"10.1190/int-2020-0101.1","title":"1D mechanical earth modeling in the Permian Lucaogou Shale of the Santanghu Basin, Northwest China, from a complete set of laboratory data","year":2020,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Geology; Oil shale; Feldspar; Permian; Calcite; Mineralogy; Structural basin; Geochemistry; Petrology; Geotechnical engineering; Quartz; Paleontology","score_opus":0.04195939291655037,"score_gpt":0.24593702723739921,"score_spread":0.20397763432084884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115468374","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":[0.94926775,0.0001235316,0.048840966,0.0008010594,0.000063365085,0.00012118288,0.0006193658,0.000026344624,0.00013644253],"genre_scores_gemma":[0.9992603,0.000021483223,0.0001914712,0.00020738505,0.000037022583,0.0000046594114,0.0002658824,0.000011130293,6.655838e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914825,0.0001236784,0.00031232665,0.00013617979,0.00020575967,0.00007378671],"domain_scores_gemma":[0.9994523,0.000050008523,0.000054251577,0.00038530462,0.00003594895,0.000022203738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015073793,0.00008213623,0.00017030067,0.000037455375,0.000021660575,0.0000170241,0.00048083274,0.00004099627,0.000037694193],"category_scores_gemma":[0.00008231204,0.000054962973,0.000055101704,0.00034634938,0.000021023117,0.00016726567,0.000066340595,0.00015819765,0.0000046171845],"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":[0.00005406619,0.00003400559,0.0022885196,0.00010149959,0.00015403281,0.0000042638508,0.03582108,0.92354786,0.03634618,0.00012562465,0.00017410034,0.0013487879],"study_design_scores_gemma":[0.0001292073,0.000012428359,0.0009648476,0.00005091167,0.000033076052,2.482827e-7,0.0011654175,0.99603504,0.001399826,0.00006959503,0.00008381628,0.000055557244],"about_ca_topic_score_codex":0.00044899495,"about_ca_topic_score_gemma":0.0024727902,"teacher_disagreement_score":0.07248723,"about_ca_system_score_codex":0.0000104807705,"about_ca_system_score_gemma":0.000021760397,"threshold_uncertainty_score":0.22413251},"labels":[],"label_agreement":null},{"id":"W3121620419","doi":"10.1190/int-2020-0135.1","title":"Seismic illumination of small-throw seismogenic faults, Anadarko Basin, Oklahoma","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":5,"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; Seismology; Induced seismicity; Basement; Fault (geology); Structural basin; Geophysical imaging; Geomorphology","score_opus":0.009570794330554935,"score_gpt":0.21429077788536582,"score_spread":0.20471998355481089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121620419","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":[0.91816026,0.00055427133,0.06825649,0.0017156719,0.00057238824,0.00012161007,0.000067758316,0.00012845364,0.01042312],"genre_scores_gemma":[0.99347126,0.000053083146,0.0036370088,0.0017937202,0.000030612213,9.447065e-7,0.00029344208,0.000004057015,0.0007158862],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990957,0.00010018695,0.00025476044,0.00021421805,0.00019256219,0.00014256466],"domain_scores_gemma":[0.9993803,0.00009705618,0.00012400928,0.00017220237,0.0001805348,0.00004589556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018699585,0.000098368604,0.00014046454,0.000108401575,0.000062062354,0.00002377263,0.00012137216,0.00006136048,0.0008290045],"category_scores_gemma":[0.00012143961,0.00009714325,0.00007631574,0.00023537029,0.00007047435,0.00021984358,0.000009895193,0.00009143507,0.00005810168],"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":[0.00007918691,0.000043781656,0.0766137,0.00009178703,0.00005577191,0.00002456567,0.0019035523,0.0026160637,0.0019691633,0.000050400522,0.014326456,0.90222555],"study_design_scores_gemma":[0.00028788895,0.00013946171,0.09801143,0.00013879883,0.000039309187,0.00006528346,0.0009792,0.7648339,0.11205438,0.0018164782,0.021396587,0.00023727721],"about_ca_topic_score_codex":0.0034870973,"about_ca_topic_score_gemma":0.0002748809,"teacher_disagreement_score":0.90198827,"about_ca_system_score_codex":0.000011843924,"about_ca_system_score_gemma":0.000093681985,"threshold_uncertainty_score":0.90770185},"labels":[],"label_agreement":null},{"id":"W3127767821","doi":"10.1190/int-2020-0078.1","title":"A seismic structural overview of Liard Basin, Northeast British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Geology; Proterozoic; Anticline; Structural basin; Paleozoic; Paleontology; Sedimentary basin; Sedimentary rock; Tectonics","score_opus":0.007433204493014057,"score_gpt":0.20985177239581204,"score_spread":0.202418567902798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127767821","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":[0.99298257,0.0008558801,0.0044207596,0.000083328916,0.00029639932,0.000045247092,0.000043643307,0.000044818542,0.001227384],"genre_scores_gemma":[0.9991974,0.00009029305,0.000091464615,0.00012977958,0.000021952428,0.000005354089,0.00008028613,0.000012461249,0.00037100964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939287,0.000031604333,0.00022640488,0.000096620955,0.0001616509,0.00009087617],"domain_scores_gemma":[0.9996759,0.00001714801,0.000032386626,0.0001160741,0.00011499993,0.00004344794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029219795,0.000052470055,0.00015257386,0.000018272716,0.000025156016,0.00007376178,0.000060549035,0.00003113608,0.00037499226],"category_scores_gemma":[0.00003146175,0.000082210834,0.000064131265,0.00020770608,0.00001107535,0.0001025091,0.000011584905,0.00006644479,0.000003428629],"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":[0.000013804526,0.00003468392,0.0708892,0.0010241227,0.0008539762,0.00017473826,0.0023861704,0.80985576,0.0030946445,0.000026958032,0.01807923,0.09356671],"study_design_scores_gemma":[0.0001391469,0.0000067519572,0.02110608,0.00012787961,0.000036882997,0.000022351196,0.00022905803,0.9755362,0.00076168,0.00009817168,0.0018111251,0.00012467297],"about_ca_topic_score_codex":0.5646191,"about_ca_topic_score_gemma":0.98408663,"teacher_disagreement_score":0.4194675,"about_ca_system_score_codex":0.00007794463,"about_ca_system_score_gemma":0.00012417203,"threshold_uncertainty_score":0.4382801},"labels":[],"label_agreement":null},{"id":"W3132217125","doi":"10.1190/int-2020-0166.1","title":"Spatial delineation of rock types in the Meramec Formation by integrating core and seismic measurements, Loyal area, Kingfisher County, Anadarko Basin","year":2021,"lang":"en","type":"article","venue":"Interpretation","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":"Geology; Petrophysics; Permeability (electromagnetism); Drilling; Mineralogy; Hydraulic fracturing; Seismology; Petroleum reservoir; Petrology; Porosity; Shear (geology); Geotechnical engineering; Materials science; Paleontology","score_opus":0.019851526217475053,"score_gpt":0.22799731698170966,"score_spread":0.20814579076423462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132217125","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":[0.7706986,0.00051452394,0.22514904,0.0012752727,0.00018069916,0.00016969499,0.000052581392,0.000030643376,0.00192893],"genre_scores_gemma":[0.9972917,0.000025564916,0.0007228512,0.0015773148,0.000013285895,0.0000013579701,0.00033391063,0.0000019016702,0.00003212287],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992676,0.00009775591,0.00022338996,0.00011118945,0.00021927395,0.00008080568],"domain_scores_gemma":[0.99960744,0.00008502675,0.000105661726,0.000071876224,0.00011568352,0.000014280649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035028535,0.00007006484,0.000087742446,0.000054042524,0.000051557312,0.00005396776,0.000070922004,0.000037341644,0.00010956984],"category_scores_gemma":[0.00013636785,0.000053019394,0.000019320923,0.00011502718,0.000020031988,0.0002908196,0.000004956163,0.00009182928,0.0000024257995],"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":[0.00010374606,0.000034173976,0.22438195,0.000066620814,0.000020772104,0.0000039588585,0.005856928,0.0033752115,0.0020865684,0.000014228638,0.026414214,0.73764163],"study_design_scores_gemma":[0.00014533773,0.00005417461,0.008912873,0.00011177986,0.000012700842,0.000011564794,0.0010229293,0.9800829,0.007182539,0.0003146197,0.0020782026,0.0000703436],"about_ca_topic_score_codex":0.011770488,"about_ca_topic_score_gemma":0.001911198,"teacher_disagreement_score":0.9767077,"about_ca_system_score_codex":0.000012074713,"about_ca_system_score_gemma":0.000031608823,"threshold_uncertainty_score":0.9948102},"labels":[],"label_agreement":null},{"id":"W3133704455","doi":"10.1190/int-2020-0167.1","title":"Mechanical stratigraphy of Mississippian strata using machine learning and seismic-based reservoir characterization and modeling, Anadarko Basin, Oklahoma","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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":"Geology; Stratigraphy; Sedimentary rock; Petrology; Drilling; Structural basin; Brittleness; Paleontology; Tectonics","score_opus":0.01573257841939544,"score_gpt":0.24346124438186975,"score_spread":0.22772866596247432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133704455","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":[0.6180764,0.0002373575,0.38137078,0.0001132058,0.000030845455,0.000043946064,0.000014636401,0.00004366577,0.00006919512],"genre_scores_gemma":[0.9974627,0.00011736355,0.0020939207,0.000041888463,0.00001529864,0.000002927157,0.00022637464,0.000019584677,0.000019928491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991281,0.000094067545,0.0003186139,0.00019015705,0.00016075748,0.00010832064],"domain_scores_gemma":[0.99961615,0.000028420667,0.000062037696,0.00011051995,0.00010357259,0.00007932651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012394752,0.00012641252,0.00019949426,0.00016231861,0.000061699015,0.000071269606,0.00004376332,0.00008211639,0.000029641178],"category_scores_gemma":[0.000057502923,0.0001323511,0.000050179486,0.00026364447,0.000022005217,0.00023210715,0.00001640165,0.00014254355,2.52454e-7],"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":[0.00004152463,0.000026086116,0.001958108,0.00020596437,0.00011290048,0.000009650672,0.0005447146,0.54555583,0.44679737,0.000076284705,0.0000027686233,0.0046687983],"study_design_scores_gemma":[0.00023391105,0.00002802451,0.00018494017,0.00010249312,0.000052991425,0.000004473055,0.00017888824,0.97006714,0.028850673,0.00009983997,0.00007615787,0.000120482124],"about_ca_topic_score_codex":0.00009283908,"about_ca_topic_score_gemma":0.000313658,"teacher_disagreement_score":0.4245113,"about_ca_system_score_codex":0.000018211142,"about_ca_system_score_gemma":0.0000390751,"threshold_uncertainty_score":0.53971213},"labels":[],"label_agreement":null},{"id":"W3147094564","doi":"10.1190/int-2021-0315-fe.1","title":"A good figure is worth a thousand words — Part 1: A quick guide to quality illustrations","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BHP (Canada)","funders":"","keywords":"Quality (philosophy); Computer science; Art; Philosophy; Epistemology","score_opus":0.027583753694998204,"score_gpt":0.29759548906079036,"score_spread":0.27001173536579215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147094564","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":[0.92034024,0.00042290502,0.0043702354,0.0022018661,0.00057020027,0.00017584387,0.00026310564,0.00010289648,0.07155272],"genre_scores_gemma":[0.98544735,0.000013294754,0.001426,0.0018137473,0.000095255964,0.0000043900545,0.00029555624,0.00000290449,0.010901477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886984,0.00018858533,0.00028044963,0.00026310503,0.00021061081,0.00018739232],"domain_scores_gemma":[0.99941474,0.00011402261,0.000057010024,0.00018182048,0.00011508417,0.000117309726],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028995977,0.000104945924,0.0001309189,0.000026364261,0.0001325169,0.00014057562,0.00009799734,0.000057708112,0.004400563],"category_scores_gemma":[0.00018768564,0.00008844661,0.00007047387,0.00028812233,0.000021256186,0.00020992428,0.000007724778,0.00010197987,0.00061032886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018624502,0.00008026774,0.62622046,0.00007593591,0.000109069806,0.000057267825,0.027235512,0.003275879,0.0007253453,0.00027741655,0.053452894,0.2883037],"study_design_scores_gemma":[0.00036704086,0.00019375075,0.84717464,0.00021112995,0.000033215827,0.000026667694,0.0049476335,0.006967424,0.0009170887,0.00051765103,0.13815059,0.0004931538],"about_ca_topic_score_codex":0.000891979,"about_ca_topic_score_gemma":0.0221681,"teacher_disagreement_score":0.28781053,"about_ca_system_score_codex":0.0000075956864,"about_ca_system_score_gemma":0.00007439383,"threshold_uncertainty_score":0.99650955},"labels":[],"label_agreement":null},{"id":"W3155813285","doi":"10.1190/int-2020-0185.1","title":"Pore structure and fractal characteristics of ultralow-permeability sandstone reservoirs in the Upper Triassic Yanchang Formation, Ordos Basin","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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":"Petroleum Technology Research Centre; University of Regina","funders":"National Major Science and Technology Projects of China; National Natural Science Foundation of China","keywords":"Macropore; Geology; Porosity; Permeability (electromagnetism); Porosimetry; Characterisation of pore space in soil; Fractal; Mineralogy; Dissolution; Feldspar; Fractal dimension; Mesoporous material; Porous medium; Geotechnical engineering; Chemical engineering; Chemistry","score_opus":0.007745098056808031,"score_gpt":0.2282665586158224,"score_spread":0.22052146055901437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155813285","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":[0.9872654,0.00013179245,0.011653545,0.00044077472,0.00009242456,0.00011026357,0.00003605423,0.000024566438,0.00024516258],"genre_scores_gemma":[0.99941,0.00006825715,0.00016393542,0.00008670037,0.000030847863,0.000011331969,0.00020739347,0.000009300525,0.000012271419],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914765,0.00011592952,0.0003575974,0.000110326924,0.0001686078,0.00009988229],"domain_scores_gemma":[0.99954975,0.00009191672,0.000060963343,0.00017966068,0.00009221948,0.000025501035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018563635,0.00009544695,0.00018425146,0.000100522244,0.000030227468,0.00004216151,0.000079408404,0.00007352496,0.00007607629],"category_scores_gemma":[0.00020032564,0.00007316012,0.000054108154,0.00031798237,0.0000315659,0.00031834518,0.000008369897,0.00015480354,0.0000014260087],"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":[0.0006236769,0.00038048706,0.19898604,0.0026144988,0.00062716904,0.00012240214,0.21879068,0.08875791,0.4126012,0.0008689021,0.0014968909,0.074130155],"study_design_scores_gemma":[0.0007202583,0.00003658814,0.15134065,0.00015046207,0.00006859564,0.000022391438,0.004651398,0.8100622,0.031315405,0.0011296757,0.00026910548,0.00023326735],"about_ca_topic_score_codex":0.000011649558,"about_ca_topic_score_gemma":0.0001494673,"teacher_disagreement_score":0.7213043,"about_ca_system_score_codex":0.0000366272,"about_ca_system_score_gemma":0.000016169253,"threshold_uncertainty_score":0.2983383},"labels":[],"label_agreement":null},{"id":"W3159433583","doi":"10.1190/int-2020-0196.1","title":"Quantitative characterization of siliceous contents of different origins by use of logging analysis","year":2021,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Petroleum Technology Research Centre; University of Regina; Petro-Canada","funders":"PetroChina Innovation Foundation; National Natural Science Foundation of China","keywords":"Biogenic silica; Oil shale; Mineralogy; Silicate; Geology; Terrigenous sediment; Abiogenic petroleum origin; Porosity; Dissolved silica; Chemistry; Geochemistry; Dissolution; Organic chemistry","score_opus":0.01930475834993189,"score_gpt":0.2505079267202895,"score_spread":0.2312031683703576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159433583","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":[0.7571197,0.000040322207,0.24261162,0.0000124266835,0.000047984282,0.00003894916,0.000061609644,0.000016304375,0.00005106365],"genre_scores_gemma":[0.99919635,0.000097419026,0.0001736358,0.000008460035,0.0000027751782,0.0000045175116,0.00046248702,0.000008896728,0.00004544877],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991832,0.00006137913,0.00043307373,0.00009802429,0.0001615483,0.00006278244],"domain_scores_gemma":[0.999368,0.000075126416,0.00017142345,0.00013603593,0.00022523478,0.000024162075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003617433,0.000081359714,0.00031908194,0.00023798001,0.000008367853,0.000010138096,0.00005002663,0.000040547122,0.00004695293],"category_scores_gemma":[0.000067813045,0.000076878794,0.00015344613,0.00051752554,0.000025480836,0.00018508585,0.000010372977,0.000042091346,0.0000010815319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022126871,0.0000583717,0.0068193916,0.00009152411,0.0010003443,6.3288644e-7,0.0016445937,0.05283571,0.93690735,0.00014600513,0.000005376222,0.00046854868],"study_design_scores_gemma":[0.00009026379,0.000024053055,0.0042322907,0.00003701175,0.00027523012,1.1133791e-7,0.00018057946,0.62081635,0.37426946,0.00000995013,0.00001595422,0.000048751474],"about_ca_topic_score_codex":0.00004614147,"about_ca_topic_score_gemma":0.00006788751,"teacher_disagreement_score":0.56798065,"about_ca_system_score_codex":0.000033071676,"about_ca_system_score_gemma":0.000006774372,"threshold_uncertainty_score":0.31350264},"labels":[],"label_agreement":null},{"id":"W3160801155","doi":"10.1190/int-2020-0241.1","title":"Reservoir characterization over the Lille Prinsen and Ivar Aasen fields in the Norwegian North Sea using ocean-bottom-node seismic data — A case study","year":2021,"lang":"en","type":"article","venue":"Interpretation","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":"ARC Resources (Canada); BP (Canada); Petro-Canada","funders":"","keywords":"Petrophysics; Geology; Seismic inversion; Reservoir modeling; Facies; Prestack; Seismology; Formation evaluation; Inversion (geology); Norwegian; Workflow; Oil shale; Lithology; Petroleum engineering; Petrology; Paleontology; Porosity; Geotechnical engineering; Computer science","score_opus":0.03387928064620474,"score_gpt":0.27597189807639333,"score_spread":0.2420926174301886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160801155","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":[0.9959803,0.000047292073,0.0021952062,0.0011468995,0.00011704182,0.0002531584,0.00007511874,0.000027783191,0.00015716878],"genre_scores_gemma":[0.99619323,0.000025233616,0.00020095923,0.0030682974,0.000045127374,9.112209e-7,0.0004276079,0.00000336701,0.00003529557],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989388,0.00033431503,0.00018200744,0.00025219683,0.00016952012,0.0001231817],"domain_scores_gemma":[0.9992506,0.00017623154,0.00007271083,0.00043800712,0.00003865586,0.000023778288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004295079,0.00009012332,0.00008779999,0.000058316476,0.00017829218,0.00016657685,0.00026149233,0.000035787056,0.000059707367],"category_scores_gemma":[0.0001018207,0.00005769391,0.000016323314,0.00023882027,0.00004082367,0.00044567444,0.000056349243,0.00019975823,0.0000054719394],"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":[0.000030012412,0.00004076001,0.95613194,0.000016579674,0.000017292037,0.00052578887,0.013728549,0.0008053972,0.000018634708,0.0000010932047,0.00071536616,0.027968593],"study_design_scores_gemma":[0.00012700725,0.000037201135,0.25772858,0.000025562193,0.000018192482,0.00029091453,0.003982896,0.7369664,0.000026384101,0.000028736733,0.00069680664,0.000071339375],"about_ca_topic_score_codex":0.011911916,"about_ca_topic_score_gemma":0.0026305509,"teacher_disagreement_score":0.736161,"about_ca_system_score_codex":0.0000063859766,"about_ca_system_score_gemma":0.000049950962,"threshold_uncertainty_score":0.9946678},"labels":[],"label_agreement":null},{"id":"W3166734449","doi":"10.1190/int-2020-0175.1","title":"Morphology, internal architectures, and formation mechanisms of mega-pockmarks on the northwestern South China Sea margin","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Geology; Impact crater; Seafloor spreading; Volcano; Fault (geology); Petrology; Sedimentary rock; Hydrostatic pressure; Geomorphology; Mud volcano; Paleontology","score_opus":0.007946996992171343,"score_gpt":0.18966043792482054,"score_spread":0.18171344093264918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166734449","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":[0.9872983,0.00008962476,0.008745285,0.0010090607,0.00010171941,0.00007813004,0.00004418331,0.000011144745,0.002622558],"genre_scores_gemma":[0.99921423,0.0000058069068,0.00016274439,0.00045942175,0.000018821125,0.0000017316225,0.000050601615,0.0000010428255,0.000085584354],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99941564,0.000098010314,0.00013600173,0.00012821375,0.00011951746,0.000102630875],"domain_scores_gemma":[0.9996325,0.00016515738,0.00007262876,0.00007297018,0.000030144893,0.00002660237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009408345,0.00007858049,0.00010651167,0.000021633261,0.000070394286,0.000022148039,0.000076728975,0.000031264386,0.0004035656],"category_scores_gemma":[0.000062761814,0.000043603664,0.000041215753,0.00006452281,0.00006901154,0.00004225314,0.00002300725,0.000113126174,0.000046664147],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010676471,0.0001390065,0.36712176,0.00017563322,0.00022382567,0.00007491681,0.020627527,0.012382705,0.0017061821,0.0060717,0.00018098755,0.59022814],"study_design_scores_gemma":[0.00013271355,0.00025378095,0.9372203,0.00003412105,0.000014133668,0.000019292025,0.00039448135,0.022578891,0.0027410705,0.036503702,0.000032792523,0.00007472315],"about_ca_topic_score_codex":0.0005650746,"about_ca_topic_score_gemma":0.0014899045,"teacher_disagreement_score":0.5901534,"about_ca_system_score_codex":0.0000015498246,"about_ca_system_score_gemma":0.000004754858,"threshold_uncertainty_score":0.44187602},"labels":[],"label_agreement":null},{"id":"W3175421494","doi":"10.1190/int-2021-0091.1","title":"Seismic characterization of a Triassic-Jurassic deep geothermal sandstone reservoir, onshore Denmark, using unsupervised machine learning techniques","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Geology; Facies; Geothermal gradient; Reservoir modeling; Geothermal exploration; Bayesian probability; Inversion (geology); Prestack; Petrophysics; Petrology; Paleontology; Geothermal energy; Petroleum engineering; Artificial intelligence; Seismology; Porosity; Geotechnical engineering; Computer science; Tectonics","score_opus":0.015441102901879613,"score_gpt":0.23857463659002914,"score_spread":0.22313353368814953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175421494","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":[0.942125,0.0002386024,0.055780493,0.00027417394,0.00015011634,0.00014151285,0.0000331456,0.00014383487,0.0011131237],"genre_scores_gemma":[0.99379236,0.00009885151,0.0047660405,0.0004565501,0.00004998987,0.000002199028,0.0005550059,0.000010334093,0.00026865158],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869543,0.00028138756,0.00035805182,0.00025198207,0.00022853415,0.00018463582],"domain_scores_gemma":[0.9993095,0.00009572744,0.00021127544,0.00016921334,0.000162463,0.00005184967],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032070914,0.00014384266,0.00022147536,0.00018798526,0.00012041503,0.000058854046,0.0001415496,0.000094530275,0.0012301797],"category_scores_gemma":[0.00013385076,0.0001366004,0.00008657205,0.00031973666,0.0000690169,0.0004252233,0.00001906157,0.00020890104,0.000021127169],"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":[0.0004600476,0.00006953845,0.13929302,0.0001447659,0.00007614658,0.000028863102,0.0028907119,0.0029127751,0.24800955,0.000015891592,0.00010488653,0.6059938],"study_design_scores_gemma":[0.00019159135,0.00008601216,0.013883427,0.00016150113,0.000028500812,0.000027891663,0.00018528683,0.81668544,0.16754204,0.00011839037,0.0009479345,0.00014197922],"about_ca_topic_score_codex":0.001170923,"about_ca_topic_score_gemma":0.00005329381,"teacher_disagreement_score":0.8137727,"about_ca_system_score_codex":0.000018885266,"about_ca_system_score_gemma":0.000076087614,"threshold_uncertainty_score":0.99968284},"labels":[],"label_agreement":null},{"id":"W3195600497","doi":"10.1190/int-2021-0004.1","title":"Effects of diabase intrusions on surrounding clastic rock reservoir in early diagenetic stages: A case study of the Early Permian Fengcheng Formation in the Dabasong uplift, Junggar Basin","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Geochemical 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":"Petro-Canada","funders":"","keywords":"Geology; Clastic rock; Geochemistry; Diagenesis; Magma; Mafic; Sedimentary rock; Calcite; Petrology; Volcano","score_opus":0.012429865702289456,"score_gpt":0.22732591421011178,"score_spread":0.21489604850782232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195600497","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":[0.9991187,0.00009702828,0.00013276075,0.00013430098,0.00006518908,0.0003321724,0.000008848429,0.000004640533,0.0001063494],"genre_scores_gemma":[0.99986905,0.0000054658544,0.000020124011,0.0000618922,0.000010470833,0.000009175389,0.000013194536,0.0000017610976,0.000008886696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834377,0.0007009604,0.00035908748,0.00017915551,0.00027029627,0.00014671886],"domain_scores_gemma":[0.99811745,0.0014825221,0.0001288842,0.00018221543,0.00005724123,0.00003168493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033966237,0.00010010875,0.00018511315,0.00011219393,0.000075351425,0.000033251054,0.00017894333,0.000044639968,0.00007053857],"category_scores_gemma":[0.00087167183,0.00005736882,0.00007203544,0.0007190946,0.000028588865,0.00015526028,0.000030001065,0.00022108671,0.000006947229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006523584,0.00023477762,0.95147467,0.00007766119,0.000016010816,0.00029471304,0.022169514,0.022670986,0.0007828728,0.000013098981,0.0000023863986,0.0021980705],"study_design_scores_gemma":[0.00037446935,0.00032387456,0.9370578,0.00016874065,0.000044305212,0.000018303408,0.0064511783,0.053101633,0.0019890561,0.00039969504,7.095134e-7,0.00007026386],"about_ca_topic_score_codex":0.010760254,"about_ca_topic_score_gemma":0.05554855,"teacher_disagreement_score":0.044788294,"about_ca_system_score_codex":0.0000111134805,"about_ca_system_score_gemma":0.00001663235,"threshold_uncertainty_score":0.9958272},"labels":[],"label_agreement":null},{"id":"W3197014985","doi":"10.1190/int-2020-0140.1","title":"Hyperspectral fluorescence imaging: Robust detection of petroleum in porous sedimentary rock formations","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Remote-Sensing Image Classification","field":"Engineering","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":"Oil sands; Hyperspectral imaging; Asphalt; Geology; API gravity; Petroleum; Remote sensing; Mineralogy; Environmental science; Materials science","score_opus":0.007739103801937398,"score_gpt":0.2087846378289867,"score_spread":0.2010455340270493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197014985","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":[0.60275805,0.00027865142,0.3934286,0.00022321484,0.00055772194,0.00012425454,0.000006114713,0.0002544473,0.0023689724],"genre_scores_gemma":[0.99384314,0.000018538158,0.006004894,0.00002242219,0.0000253532,0.0000046860073,0.000039653423,0.00001740666,0.000023934088],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930644,0.00003224171,0.00028780886,0.00012555328,0.00012343525,0.00012450847],"domain_scores_gemma":[0.99963516,0.000035425393,0.000052723706,0.00016022616,0.00009283544,0.000023607956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006919506,0.000088678426,0.0001019748,0.00015548462,0.000021291924,0.000027525584,0.000055617245,0.000035433124,0.000012837887],"category_scores_gemma":[0.00006298838,0.000108464614,0.000038165563,0.00021619671,0.000013654508,0.0004208154,0.000010458668,0.00012479801,0.000018273759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013906162,0.000028255708,0.0006197735,0.000053367025,0.000013275091,0.000008714895,0.0015749707,0.22270681,0.75422335,0.000020443278,0.00009242741,0.020644682],"study_design_scores_gemma":[0.0001426824,0.000008504103,0.007925376,0.000058559115,0.0000092954715,0.000028819604,0.0005313045,0.7510658,0.24007167,0.00006341498,0.000022957101,0.00007160173],"about_ca_topic_score_codex":0.000039485447,"about_ca_topic_score_gemma":0.00007351482,"teacher_disagreement_score":0.528359,"about_ca_system_score_codex":0.00023780114,"about_ca_system_score_gemma":0.000021141843,"threshold_uncertainty_score":0.44230586},"labels":[],"label_agreement":null},{"id":"W3197193926","doi":"10.1190/int-2020-0173.1","title":"Provenance and sedimentary environment of the E <i>k</i> 2 shale in the Cangdong Sag, the central Bohai Bay Basin, China","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Geochemistry and Elemental Analysis","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":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Geology; Provenance; Oil shale; Geochemistry; Weathering; Sedimentary rock; Igneous rock; Pyrite; Plagioclase; Mineralogy; Quartz; Paleontology","score_opus":0.0025368757782564233,"score_gpt":0.15826659058631776,"score_spread":0.15572971480806133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197193926","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":[0.9937135,0.00056983304,0.000041380306,0.0034931707,0.000059579626,0.0000932239,0.00003921656,0.0000016086923,0.0019884764],"genre_scores_gemma":[0.9989173,0.0000557267,0.000027202059,0.00082173396,0.000017776703,0.0000020985801,0.000053981574,7.309796e-7,0.00010344332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994347,0.00009528894,0.00012082617,0.00010618175,0.00014104656,0.00010193102],"domain_scores_gemma":[0.9997555,0.000049041664,0.00005132986,0.00012694453,0.0000034297789,0.000013778759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014117856,0.00005312863,0.000055639845,0.0000054054294,0.000081661994,0.000021979036,0.00012862717,0.000014477896,0.00038336488],"category_scores_gemma":[0.000011846828,0.000025811934,0.000038250728,0.00009004293,0.00006435992,0.0000716447,0.000014935246,0.000075392214,0.000002980819],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017417718,0.000025694762,0.9773941,0.000016848811,0.000022968823,0.0000039010206,0.004751158,0.0018349249,0.0008284577,0.000017598872,0.00029652345,0.014790415],"study_design_scores_gemma":[0.00008495063,0.000016132408,0.9830688,0.000026959628,0.000025813433,0.000009731047,0.0016625479,0.007839748,0.005821305,0.0004775545,0.00092546636,0.000040984236],"about_ca_topic_score_codex":0.0021994123,"about_ca_topic_score_gemma":0.0028644449,"teacher_disagreement_score":0.01474943,"about_ca_system_score_codex":0.0000050759418,"about_ca_system_score_gemma":0.000013841828,"threshold_uncertainty_score":0.41975766},"labels":[],"label_agreement":null},{"id":"W3198208560","doi":"10.1190/int-2021-0107.1","title":"Improving porosity and gamma-ray prediction for the Middle Jurassic Hugin sandstones in the southern Norwegian North Sea with the application of deep neural networks","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Chemicals (Canada); ARC Resources (Canada)","funders":"","keywords":"Petrophysics; Porosity; Geology; Artificial neural network; Workflow; Well control; Reservoir modeling; Electrical impedance; Lithology; Norwegian; Mineralogy; Artificial intelligence; Computer science; Petrology; Materials science; Geotechnical engineering; Database; Drilling; Engineering","score_opus":0.008108260349963446,"score_gpt":0.1944298392005981,"score_spread":0.18632157885063463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198208560","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":[0.6905676,0.00030421498,0.3074135,0.001262187,0.000059150247,0.00028509472,0.000023250157,0.000019538136,0.000065478605],"genre_scores_gemma":[0.9989256,0.000010952084,0.0002181426,0.0006761574,0.000041165946,0.000015162326,0.00009916109,0.0000024046476,0.000011214898],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947435,0.00008262738,0.000117430434,0.00012767325,0.00010564116,0.00009225365],"domain_scores_gemma":[0.9994105,0.00028658676,0.00010004032,0.00013714297,0.000053847354,0.00001184297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002864679,0.000064434986,0.0000632776,0.000022013002,0.00015653462,0.000052036623,0.000120802986,0.000025744379,0.000006833542],"category_scores_gemma":[0.000023892706,0.000030839958,0.000025377698,0.00013876458,0.000087682805,0.00011846554,0.000006199374,0.00010271702,6.9770374e-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":[0.000078181394,0.000008591417,0.38295558,0.000020054807,0.000010062875,4.646096e-7,0.005510791,0.016506366,0.0000498214,0.000006456281,0.000094412724,0.5947592],"study_design_scores_gemma":[0.000089812755,0.000049708553,0.1990938,0.000008876858,0.00002057826,0.0000053484778,0.0025345162,0.79795,0.0000970522,0.00003138325,0.00008641346,0.000032470885],"about_ca_topic_score_codex":0.002156292,"about_ca_topic_score_gemma":0.0039890255,"teacher_disagreement_score":0.78144366,"about_ca_system_score_codex":0.0000037235905,"about_ca_system_score_gemma":0.000011558095,"threshold_uncertainty_score":0.32596833},"labels":[],"label_agreement":null},{"id":"W3198448416","doi":"10.1190/int-2021-0028.1","title":"Wave dynamics and shoreline evolution in deltas: A case study of sandy coasts in the Volta delta of Ghana","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Delta; Shore; River delta; Coastal erosion; Erosion; Population; Coastal management; Physical geography; Oceanography; Geography; Environmental science; Geology; Geomorphology","score_opus":0.009942212834153294,"score_gpt":0.23112722634114022,"score_spread":0.22118501350698694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198448416","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":[0.99722046,0.00013222867,0.0020957238,0.000038046855,0.000052149855,0.00016260703,0.00006381845,0.000002626095,0.00023233586],"genre_scores_gemma":[0.999695,0.000010512564,0.000103645754,0.000015885485,0.0000052489795,0.0000013232196,0.00015695147,0.000001314815,0.000010128336],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930376,0.000114395014,0.00026709816,0.00012126836,0.000116632575,0.00007684295],"domain_scores_gemma":[0.99960476,0.00015133589,0.00006907289,0.00009645488,0.00006317044,0.000015230004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024810038,0.00006028562,0.00011813899,0.0000921077,0.000015700016,0.000010716387,0.000048885093,0.000027102213,0.000024578352],"category_scores_gemma":[0.00009205895,0.000046174908,0.000016328577,0.00027592477,0.000029812303,0.00009527045,0.00002242514,0.00008081348,3.138165e-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":[0.0001268514,0.00017735969,0.8494758,0.000041071908,0.000011076677,0.00035998574,0.010907206,0.0053104213,0.000019319277,0.000093136274,0.0000036632098,0.1334741],"study_design_scores_gemma":[0.00028957377,0.00019514345,0.31770468,0.000026085372,0.000010645785,0.00016973303,0.02475352,0.65652215,0.0000033147105,0.00028851352,6.306614e-7,0.00003602991],"about_ca_topic_score_codex":0.043405253,"about_ca_topic_score_gemma":0.8283472,"teacher_disagreement_score":0.784942,"about_ca_system_score_codex":0.000007879083,"about_ca_system_score_gemma":0.000031243846,"threshold_uncertainty_score":0.9629648},"labels":[],"label_agreement":null},{"id":"W3204144492","doi":"10.1190/int-2021-0076.1","title":"Prestack Bayesian lithofacies classification technology and application in oil-sand reservoir prediction","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","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; Lithology; Reservoir modeling; Prestack; Spatial distribution; Probability distribution; Bayesian probability; Inversion (geology); Characterization (materials science); Probabilistic logic; Petroleum engineering; Petrology; Geomorphology; Remote sensing; Artificial intelligence; Computer science; Statistics; Seismology","score_opus":0.010977725930017621,"score_gpt":0.2680673343923964,"score_spread":0.25708960846237877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204144492","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":[0.5060597,0.0006208482,0.49085116,0.00023735428,0.00011955188,0.000065791304,0.0000058384335,0.0002805479,0.0017591813],"genre_scores_gemma":[0.9894916,0.00028575407,0.00983459,0.000007738243,0.000028806435,0.00009198899,0.000056716955,0.000020021964,0.00018280397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924505,0.000051756113,0.00026762774,0.0002064313,0.00010299141,0.00012617225],"domain_scores_gemma":[0.9995601,0.000075669544,0.000028804243,0.00022188025,0.000079309364,0.000034232642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018543153,0.000103020284,0.00011845,0.0003372949,0.000030963452,0.000046237168,0.000062849984,0.00015160082,0.0000074993463],"category_scores_gemma":[0.00016748099,0.00011795916,0.000018681663,0.00058916945,0.00002723044,0.00024473667,0.000017796685,0.00016841789,0.00000478466],"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":[0.000019095307,0.000020044743,0.017915986,0.00020235828,0.000018965718,0.0000031582108,0.0008942444,0.81304353,0.0723712,0.0017194146,0.00006159661,0.09373039],"study_design_scores_gemma":[0.0002393509,0.000011985969,0.020502293,0.00006497707,0.0000060099287,0.000007510734,0.00014770366,0.96897525,0.006750796,0.0019055373,0.0012935469,0.00009504265],"about_ca_topic_score_codex":0.000003950284,"about_ca_topic_score_gemma":0.000019544106,"teacher_disagreement_score":0.48343185,"about_ca_system_score_codex":0.00007377449,"about_ca_system_score_gemma":0.000012706317,"threshold_uncertainty_score":0.48102352},"labels":[],"label_agreement":null},{"id":"W3205278854","doi":"10.1190/int-2021-1001-fe.1","title":"Call for discussions in <i>Interpretation</i>","year":2021,"lang":"en","type":"article","venue":"Interpretation","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","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":"BHP (Canada)","funders":"","keywords":"Interpretation (philosophy); Epistemology; Philosophy; Psychology; Computer science; Linguistics","score_opus":0.048578212790303665,"score_gpt":0.45101621658843405,"score_spread":0.4024380037981304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205278854","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":[0.26621667,0.001963126,0.419344,0.049572524,0.008489,0.005001664,0.00035535,0.0008087418,0.2482489],"genre_scores_gemma":[0.9859018,0.000037465437,0.0037081074,0.0040089493,0.00011138617,0.0012069925,0.00023066664,0.000031541324,0.004763111],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743736,0.0008876268,0.000825304,0.00031946163,0.00015140043,0.00037885836],"domain_scores_gemma":[0.9967584,0.001845474,0.00021763337,0.0004939244,0.0006006303,0.000083923245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062155793,0.00013779577,0.00023758934,0.00012982641,0.00039511482,0.000018775134,0.00022745258,0.00018973928,0.0002703032],"category_scores_gemma":[0.0017381634,0.0001272579,0.00011314048,0.0002605044,0.000035040037,0.00016807675,0.00010112663,0.00054202235,0.00017569753],"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":[0.0033518353,0.0008931502,0.14889671,0.0033768069,0.00020844802,0.00003951662,0.37959123,0.002287001,0.009894827,0.14677554,0.08435546,0.22032946],"study_design_scores_gemma":[0.008168857,0.00065302884,0.06963589,0.016651303,0.00016620183,0.00003503268,0.115454346,0.5154458,0.003241261,0.08191358,0.1865608,0.0020738707],"about_ca_topic_score_codex":0.00014459314,"about_ca_topic_score_gemma":0.0015588114,"teacher_disagreement_score":0.7196851,"about_ca_system_score_codex":0.00027679664,"about_ca_system_score_gemma":0.00033944618,"threshold_uncertainty_score":0.51894265},"labels":[],"label_agreement":null},{"id":"W3210881501","doi":"10.1190/int-2021-0037.1","title":"Visualizing hydrocarbon migration pathways associated with the Ringhorne oil field, Norway: An integrated approach","year":2021,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Doug Bragg Enterprises (Canada)","funders":"","keywords":"Geology; Anticline; Petrology; Graben; Steam injection; Oil shale; Source rock; Petroleum engineering; Seismology; Paleontology; Tectonics; Structural basin","score_opus":0.013449971305512681,"score_gpt":0.21905524891887052,"score_spread":0.20560527761335784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210881501","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":[0.9393882,0.00016218086,0.040314145,0.0008667022,0.00014385379,0.00006576443,0.000013709617,0.00020777855,0.018837677],"genre_scores_gemma":[0.99563694,0.000016687532,0.0011280266,0.002267899,0.00003127482,0.0000034159502,0.00060394686,0.0000047744156,0.0003070194],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990775,0.00020788325,0.00014302359,0.00022633023,0.00019787179,0.0001474155],"domain_scores_gemma":[0.99945366,0.00014237734,0.000093116185,0.00015680256,0.00011304244,0.000040995554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002754356,0.00011004579,0.000103131184,0.00005328659,0.00014566602,0.0001383056,0.00012721978,0.000065298715,0.00015868276],"category_scores_gemma":[0.00013089529,0.0000717845,0.000035460085,0.0002687263,0.000038916187,0.0003293552,0.0000063449306,0.00017885987,0.000019692065],"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":[0.00022405373,0.00013650775,0.027853372,0.000032715943,0.00011350669,0.000030616215,0.013600821,0.0044087665,0.0032620204,0.00016631126,0.00526406,0.94490725],"study_design_scores_gemma":[0.00016300463,0.00024064221,0.005634381,0.00009761613,0.000028430157,0.000016256668,0.002727942,0.9747531,0.014067041,0.00017921273,0.0019257097,0.00016669872],"about_ca_topic_score_codex":0.0020198564,"about_ca_topic_score_gemma":0.0010980387,"teacher_disagreement_score":0.9703443,"about_ca_system_score_codex":0.000013020385,"about_ca_system_score_gemma":0.00005502629,"threshold_uncertainty_score":0.3053432},"labels":[],"label_agreement":null},{"id":"W3215999384","doi":"10.1190/int-2021-0136.1","title":"A review of some amplitude-based seismic geometric attributes and their applications","year":2021,"lang":"en","type":"review","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Amplitude; Geology; Curvature; Seismology; Coherence (philosophical gambling strategy); Energy (signal processing); Seismometer; Geodesy; Geometry; Mathematics; Optics; Statistics; Physics","score_opus":0.03055613846817471,"score_gpt":0.2906844228292409,"score_spread":0.26012828436106616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215999384","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.5215917e-7,0.9624878,0.03620332,0.000100823105,0.00007058465,0.0005654698,0.00031535717,0.00005908059,0.00019681675],"genre_scores_gemma":[0.00023243976,0.99512875,0.00062283024,0.002018193,0.000033960463,0.00003613814,0.0018957378,0.0000068704853,0.000025095846],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987537,0.00017393062,0.00051259063,0.00030605384,0.00012014599,0.00013352856],"domain_scores_gemma":[0.99861443,0.00054853834,0.00039386685,0.00027858425,0.000110663335,0.000053917916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003751693,0.00021788629,0.0008921465,0.00036019442,0.000060755974,0.00005148509,0.00021561504,0.00010506112,0.0002354545],"category_scores_gemma":[0.00013670213,0.00015950798,0.00025837496,0.0006955867,0.00009597626,0.00012622018,0.00001594379,0.00017874224,0.00003907024],"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":[5.6740225e-7,0.0000068749987,0.000012566896,0.035274226,0.000027089083,3.4867512e-7,0.00001061657,0.000002105098,4.0789928e-8,0.000009206717,0.0027531816,0.96190315],"study_design_scores_gemma":[0.000028178802,0.000031822554,0.000004584706,0.070467465,0.000164662,0.0000134808315,0.000008079882,0.0023517783,0.000008952122,0.00014512999,0.9266233,0.00015256464],"about_ca_topic_score_codex":0.00023432347,"about_ca_topic_score_gemma":0.0000013608978,"teacher_disagreement_score":0.9617506,"about_ca_system_score_codex":0.000012255707,"about_ca_system_score_gemma":0.0002008863,"threshold_uncertainty_score":0.6504547},"labels":[],"label_agreement":null},{"id":"W4210378879","doi":"10.1190/int-2021-0152.1","title":"Evaluation method of hydrocarbon yield of source rocks in open, semiopen, and closed systems: A case study on the K1qn Formation, northern Songliao Basin, China","year":2022,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Source rock; Hydrocarbon; Geology; Kerogen; Yield (engineering); Cracking; Fossil fuel; Basin modelling; Structural basin; Petroleum engineering; Mineralogy; Geochemistry; Chemistry; Geomorphology; Engineering; Thermodynamics; Waste management","score_opus":0.028532931549420402,"score_gpt":0.29025260769507233,"score_spread":0.26171967614565195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210378879","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":[0.94736755,0.00011536256,0.05017265,0.00008361505,0.00007555571,0.0010929531,0.000008628573,0.000022485623,0.0010611976],"genre_scores_gemma":[0.99954,0.000004159338,0.000030037205,0.000021413376,0.000008423799,0.00034691818,0.000010558352,0.000017758775,0.000020759697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978385,0.0008017598,0.00056442816,0.00015927557,0.00054322474,0.00009282694],"domain_scores_gemma":[0.99917316,0.0002297361,0.00020220038,0.00025930087,0.000111319416,0.00002426275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026839476,0.00011926393,0.000259614,0.00019912598,0.000086732885,0.000044528442,0.00019828045,0.000034150344,0.000029544128],"category_scores_gemma":[0.00023735448,0.00009707999,0.00004616289,0.00044339834,0.000011905146,0.00023910003,0.00008405766,0.00018091888,8.2606834e-7],"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":[0.00005196209,0.000104724924,0.0017745016,0.00004443726,0.00011125522,0.000007829763,0.046061605,0.94485396,0.0009896067,0.0000111542,0.000029299235,0.005959661],"study_design_scores_gemma":[0.00055817206,0.0001919089,0.00036965418,0.000058971105,0.00010563825,0.000031808766,0.05176702,0.9455691,0.0011742922,0.00006891549,0.000015212946,0.000089314504],"about_ca_topic_score_codex":0.002125253,"about_ca_topic_score_gemma":0.0024754768,"teacher_disagreement_score":0.05217242,"about_ca_system_score_codex":0.00013819187,"about_ca_system_score_gemma":0.000026553145,"threshold_uncertainty_score":0.3958807},"labels":[],"label_agreement":null},{"id":"W4220905763","doi":"10.1190/int-2021-0147.1","title":"Assessment of CO2 storage potential in reservoirs with residual gas using deep learning","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Virtual Materials Group (Canada)","funders":"","keywords":"Residual; Plume; Petroleum engineering; Methane; Reservoir simulation; Hydrocarbon; Natural gas field; Environmental science; Natural gas; Hydrology (agriculture); Chemistry; Geology; Computer science; Geotechnical engineering; Thermodynamics; Physics; Algorithm","score_opus":0.009670028829162182,"score_gpt":0.27778660482084094,"score_spread":0.26811657599167876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220905763","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":[0.97398436,0.0000037140417,0.017682603,0.00013201527,0.000082137776,0.00010519497,0.0000014726177,0.000013616029,0.007994911],"genre_scores_gemma":[0.9979251,8.6016087e-7,0.001743593,0.00004049648,0.0000066338457,0.000017758766,0.000011782651,0.000004680887,0.00024911456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991563,0.00019499687,0.000169378,0.00014068789,0.00024702793,0.00009163474],"domain_scores_gemma":[0.9997501,0.000033653836,0.0001140255,0.0000750564,0.000010651843,0.00001650668],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022345169,0.00005271534,0.0000677004,0.00006363191,0.00011459846,0.000013048861,0.00007908893,0.000015303323,0.0034800323],"category_scores_gemma":[0.000023174212,0.000051918032,0.000017235785,0.00016886627,0.000047598,0.00017385048,0.00008801557,0.00021273154,0.000005215909],"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":[0.00006212391,0.00004805084,0.04007491,0.000002035424,0.000004220288,0.000014122877,0.0013143788,0.9476494,0.010015974,0.00009684149,0.000015393,0.0007025526],"study_design_scores_gemma":[0.00027114348,0.0003678448,0.1584987,0.000013657026,0.000009792598,0.000027641385,0.003086742,0.836906,0.00030274884,0.00024194375,0.00018456513,0.000089214576],"about_ca_topic_score_codex":0.0009828967,"about_ca_topic_score_gemma":0.0011170243,"teacher_disagreement_score":0.11842379,"about_ca_system_score_codex":0.0002902005,"about_ca_system_score_gemma":0.000018175142,"threshold_uncertainty_score":0.9974309},"labels":[],"label_agreement":null},{"id":"W4221057764","doi":"10.1190/int-2021-0194.1","title":"Generating a labeled data set to train machine learning algorithms for lithologic classification of drill cuttings","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workflow; Convolutional neural network; Lithology; Artificial intelligence; Algorithm; Geology; Data set; Computer science; Set (abstract data type); Drill; Machine learning; Pattern recognition (psychology); Database; Petrology; Engineering","score_opus":0.06237746096804688,"score_gpt":0.31447295047773155,"score_spread":0.2520954895096847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221057764","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":[0.6739986,0.0001647553,0.32479075,0.0001683342,0.00018217534,0.00021729697,0.00012799691,0.00017851935,0.00017158587],"genre_scores_gemma":[0.9731507,0.0000017856614,0.025749635,0.0000715963,0.00005558442,0.00008872927,0.0007134382,0.000022904876,0.0001456582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999252,0.00005170969,0.00025817342,0.00019610224,0.00011407675,0.00012794574],"domain_scores_gemma":[0.99961215,0.00008881706,0.00008123581,0.00015149679,0.00004050401,0.000025768788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052107516,0.00008623315,0.00012113221,0.000107822794,0.00013574304,0.000030552543,0.00020119193,0.000025759833,0.0000228817],"category_scores_gemma":[0.00022776242,0.00009211481,0.00002413627,0.00018156561,0.0000071761538,0.00013083761,0.00006569175,0.00015117202,0.0000018791718],"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":[0.000030894294,0.000014560215,0.00033229197,0.00014084142,0.000026987973,7.5742247e-7,0.008135639,0.6057895,0.2691566,0.00006233732,0.00079443585,0.11551517],"study_design_scores_gemma":[0.00015799412,0.000091289316,0.000109731656,0.000027323109,0.000013196969,0.0000047195826,0.0005538131,0.99533993,0.0016650376,0.0000597029,0.0018787172,0.00009851923],"about_ca_topic_score_codex":0.000016117554,"about_ca_topic_score_gemma":0.0000089033265,"teacher_disagreement_score":0.38955048,"about_ca_system_score_codex":0.00005592615,"about_ca_system_score_gemma":0.000009787465,"threshold_uncertainty_score":0.3756333},"labels":[],"label_agreement":null},{"id":"W4224297827","doi":"10.1190/int-2021-0115.1","title":"Geochemical characteristics and shale oil exploration potential of the Da’anzhai Member in the Sichuan Basin, southwest China","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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":"Petro-Canada","funders":"","keywords":"Oil shale; Shale oil; Geology; Total organic carbon; Structural basin; Geochemistry; Maturity (psychological); Source rock; Organic matter; Mining engineering; Paleontology; Environmental chemistry; Chemistry","score_opus":0.008611612521491733,"score_gpt":0.2126817588372951,"score_spread":0.20407014631580336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224297827","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":[0.99465317,0.000042457126,0.0034270678,0.0007707711,0.00018375738,0.00006457147,0.000023102019,0.00002479556,0.0008102995],"genre_scores_gemma":[0.9996521,0.000017884537,0.00002118065,0.00009549479,0.00003596577,0.000048186266,0.00007922505,0.00001008102,0.00003990603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926245,0.000115196846,0.0002304097,0.00009502,0.00021727721,0.000079617406],"domain_scores_gemma":[0.99973005,0.00002545127,0.000054444903,0.00015481056,0.00002038396,0.000014881323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018337362,0.00007637599,0.000102590544,0.00006499566,0.00007464344,0.000037182224,0.00014617163,0.000027928594,0.000064568456],"category_scores_gemma":[0.00003471852,0.00005382751,0.000053645468,0.00022498037,0.000032845277,0.00014685176,0.000045807396,0.00018153671,0.000002241753],"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":[0.00023759858,0.000406343,0.015345386,0.00035363776,0.00029987356,0.000023127543,0.20882432,0.5855662,0.15138453,0.0011674634,0.0014920594,0.03489943],"study_design_scores_gemma":[0.00024281611,0.00002423277,0.014744383,0.000022613985,0.000054330943,0.000008455932,0.004184373,0.9777702,0.0020843379,0.00035148967,0.00039171695,0.00012104934],"about_ca_topic_score_codex":0.00005225802,"about_ca_topic_score_gemma":0.000057136585,"teacher_disagreement_score":0.392204,"about_ca_system_score_codex":0.00003095364,"about_ca_system_score_gemma":0.000009393894,"threshold_uncertainty_score":0.21950221},"labels":[],"label_agreement":null},{"id":"W4238998972","doi":"10.1190/int-2013-0031.1","title":"Critical reflection illumination analysis","year":2013,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Reflection (computer programming); Offset (computer science); Total internal reflection; Optics; Critical reflection; Geology; Azimuth; Computer science; Physics; Psychology","score_opus":0.010107319385157968,"score_gpt":0.2634962973395514,"score_spread":0.2533889779543934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238998972","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":[0.54151386,0.00010820481,0.3631751,0.0033338233,0.0006177572,0.00020145615,0.000008833945,0.00042432544,0.09061666],"genre_scores_gemma":[0.9959402,0.0000044015246,0.0026542884,0.0010521236,0.000026638667,0.0000023484738,0.000072638075,0.0000011279371,0.00024624256],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951047,0.00004842718,0.00011411904,0.0001219131,0.00011549263,0.0000895798],"domain_scores_gemma":[0.9996706,0.00008634173,0.000029109871,0.00007519688,0.000104223465,0.00003447452],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010494716,0.000047939942,0.000062581246,0.00021211084,0.00006249996,0.00008184171,0.000055770484,0.00003298414,0.004626925],"category_scores_gemma":[0.00013517633,0.000041876796,0.000050947707,0.00032608307,0.000041438132,0.0005623855,0.0000021302403,0.00005444838,0.000743504],"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":[0.000013401806,0.000012603478,0.07116468,0.0000086459195,0.00006013939,8.84081e-7,0.0007918494,0.00061637006,0.00040609651,0.0002021385,0.010426428,0.9162968],"study_design_scores_gemma":[0.000027119964,0.000049310864,0.1537959,0.000006282218,0.0000545594,0.0000021140063,0.00016653171,0.8389502,0.0015031815,0.0044264426,0.00094786525,0.00007050612],"about_ca_topic_score_codex":0.004222076,"about_ca_topic_score_gemma":0.000057363974,"teacher_disagreement_score":0.91622627,"about_ca_system_score_codex":0.00000635376,"about_ca_system_score_gemma":0.000005709595,"threshold_uncertainty_score":0.996283},"labels":[],"label_agreement":null},{"id":"W4251202774","doi":"10.1190/int-2018-0007.1","title":"Coherence attribute applications on seismic data in various guises — Part 2","year":2018,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","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":"Virtual Materials Group (Canada)","funders":"","keywords":"Coherence (philosophical gambling strategy); Amplitude; Computer science; Bandwidth (computing); Inversion (geology); Seismic inversion; Optics; Algorithm; Geology; Physics; Mathematics; Seismology; Telecommunications; Statistics","score_opus":0.031155663248153057,"score_gpt":0.27786752804478626,"score_spread":0.2467118647966332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251202774","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":[0.29809088,0.0007070039,0.5345264,0.006155542,0.002306617,0.0019479758,0.0014226416,0.0011618834,0.15368102],"genre_scores_gemma":[0.99488634,0.000014698522,0.0012199669,0.003049496,0.0000999164,0.000005639665,0.00055125816,0.0000022818874,0.00017043145],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992667,0.00004842018,0.00016168912,0.00026395204,0.00012526847,0.00013397176],"domain_scores_gemma":[0.9993633,0.000099895304,0.00005847373,0.00040178522,0.00004210914,0.000034435674],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022900995,0.000073856725,0.00007674019,0.000091638256,0.0000708777,0.0000441015,0.0003765448,0.000036815112,0.0005685193],"category_scores_gemma":[0.00006762475,0.000066390545,0.000012582511,0.00017589937,0.00008959461,0.00024313596,0.000019798641,0.00009031787,0.0009993667],"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":[0.000063815845,0.000036622896,0.05426933,0.000011999522,0.000009512521,0.0000036983424,0.00055743894,0.00036154612,0.000043391366,0.00007209041,0.062788144,0.8817824],"study_design_scores_gemma":[0.00018819708,0.0002542329,0.024476316,0.0001230054,0.000010474349,0.000008415806,0.00013339306,0.7258464,0.002015558,0.0040887133,0.2426466,0.00020869878],"about_ca_topic_score_codex":0.00245941,"about_ca_topic_score_gemma":0.00031423834,"teacher_disagreement_score":0.88157374,"about_ca_system_score_codex":0.00000787365,"about_ca_system_score_gemma":0.000030752333,"threshold_uncertainty_score":0.99977845},"labels":[],"label_agreement":null},{"id":"W4281772917","doi":"10.1190/int-2022-0607-spseintro.1","title":"Introduction to special section: Recent advances in lacustrine moderate-low maturity shale oil exploration and development","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration 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":"Geological Survey of Canada","funders":"","keywords":"Section (typography); Maturity (psychological); Oil shale; Geology; Special section; Petroleum engineering; Geochemistry; Paleontology; Mining engineering; Engineering; Psychology; Computer science; Engineering physics; Developmental psychology","score_opus":0.009448887097661235,"score_gpt":0.22510897849393813,"score_spread":0.2156600913962769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281772917","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":[0.81189525,0.0013549495,0.16668326,0.006856581,0.0064862473,0.00044987706,0.000014664231,0.0004807431,0.0057784435],"genre_scores_gemma":[0.9965997,0.0007637494,0.0005777379,0.00007073042,0.0013545104,0.00023804411,0.00013378226,0.000015636011,0.00024611468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992079,0.000056744102,0.00025120188,0.00019197458,0.00018605485,0.00010611912],"domain_scores_gemma":[0.9997985,0.000008987045,0.000028703313,0.000080231046,0.00004089121,0.000042723084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001632399,0.00009481046,0.00011227526,0.00025261697,0.00010227129,0.00004560721,0.000047438894,0.000027418251,0.00033284802],"category_scores_gemma":[0.000021551386,0.000105947816,0.000014571033,0.0004018648,0.000006598539,0.0005545846,0.000032568285,0.00015639162,0.00001811719],"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":[0.00009780725,0.000026462947,0.00004629379,0.000026081878,0.000010982035,0.0000015508582,0.0047392966,0.85980016,0.00064515293,0.000023493838,0.0011475172,0.13343522],"study_design_scores_gemma":[0.0004472171,0.000065505614,0.00025668403,0.00002205794,0.000008914724,0.000007119276,0.002498024,0.68272555,0.007603089,0.000191413,0.30588242,0.00029198965],"about_ca_topic_score_codex":0.000004182871,"about_ca_topic_score_gemma":0.00038674046,"teacher_disagreement_score":0.3047349,"about_ca_system_score_codex":0.0002976544,"about_ca_system_score_gemma":0.000018008548,"threshold_uncertainty_score":0.43204266},"labels":[],"label_agreement":null},{"id":"W4281783653","doi":"10.1190/int-2021-0150.1","title":"<i>V</i> P/ <i>V</i> S ratio anomalies in fractured rocks and implication for dolomite gas reservoir identification in the northwest Sichuan Basin","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","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":"Petro-Canada","funders":"Fundamental Research Funds for the Central Universities; National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Dolomite; Geology; Sichuan basin; Permian; Permeability (electromagnetism); Characterisation of pore space in soil; Porosity; Geochemistry; Structural basin; Natural gas; Tight gas; Mineralogy; Hydrocarbon exploration; Natural gas field; Petroleum reservoir; Geomorphology; Paleontology; Hydraulic fracturing; Geotechnical engineering; Chemistry","score_opus":0.009741441772174765,"score_gpt":0.2360744066627733,"score_spread":0.22633296489059854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281783653","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":[0.9860685,0.00031391467,0.0066512907,0.005534796,0.00014846385,0.00063955685,0.00010582205,0.000042563162,0.000495102],"genre_scores_gemma":[0.99652326,0.000026492397,0.00029588974,0.0023124702,0.00002155919,0.00008443161,0.0006955916,0.0000032031896,0.000037080856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990291,0.00020281078,0.00026429325,0.00022176473,0.0001547115,0.00012732214],"domain_scores_gemma":[0.99938625,0.0002891385,0.000120922654,0.00015728315,0.000030323736,0.000016065569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085137173,0.00008003932,0.00008963192,0.00016184355,0.00018525857,0.00009124639,0.00019557071,0.000028981995,0.000049297094],"category_scores_gemma":[0.000084160245,0.00006740391,0.000026679249,0.00024293827,0.000034687808,0.00035053637,0.0000122446345,0.00014704601,0.000003616075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074958423,0.00010646772,0.7086862,0.0000687853,0.000013769588,0.000005992377,0.031566862,0.01560481,0.0030067319,0.00032528158,0.015737042,0.22412847],"study_design_scores_gemma":[0.0006156717,0.00025539135,0.5622109,0.000029378145,0.000015049581,0.000024298524,0.003776155,0.3892599,0.00412122,0.010026012,0.029427465,0.00023856985],"about_ca_topic_score_codex":0.0062682955,"about_ca_topic_score_gemma":0.0020936423,"teacher_disagreement_score":0.37365508,"about_ca_system_score_codex":0.000017922277,"about_ca_system_score_gemma":0.000022778182,"threshold_uncertainty_score":0.94758296},"labels":[],"label_agreement":null},{"id":"W4283834086","doi":"10.1190/int-2021-0138.1","title":"Study on the characteristics and influencing factors of Chang 7 ultralow-porosity and low-permeability reservoirs in the Heshui area, Ordos Basin","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration 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":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Feldspar; Geology; Diagenesis; Compaction; Dissolution; Chlorite; Cementation (geology); Geochemistry; Porosity; Quartz; Permeability (electromagnetism); Albite; Petrophysics; Plagioclase; Mineralogy; Alkali feldspar; Oil shale; Lithology; Sedimentary rock; Geomorphology; Cement; Materials science; Metallurgy; Geotechnical engineering; Chemistry","score_opus":0.019215757659133675,"score_gpt":0.23594695524080897,"score_spread":0.2167311975816753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283834086","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":[0.9990974,0.000018916495,0.00020592118,0.00017620469,0.000050553954,0.00030966487,0.000017209763,0.000021894424,0.000102226506],"genre_scores_gemma":[0.9998202,0.000008915787,0.00000327201,0.00008100831,0.0000069272396,0.00005669771,0.000011095844,0.000008070065,0.000003861747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903107,0.0002670586,0.00025143757,0.00013332009,0.00022349601,0.0000936078],"domain_scores_gemma":[0.99942416,0.00027585562,0.000054848802,0.00020088018,0.000023994793,0.000020254027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006141802,0.000098109536,0.00015148995,0.000103106126,0.00011400301,0.00003735627,0.00013105213,0.000021784028,0.000021172185],"category_scores_gemma":[0.00015736361,0.00006278815,0.000030704243,0.0002548955,0.00003966189,0.00010269568,0.000029022449,0.00022279726,3.9835297e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001156154,0.00022949926,0.74717987,0.00009318925,0.00011363745,0.000009259145,0.19569427,0.040791757,0.014916222,0.000066904526,0.000030164878,0.00075965055],"study_design_scores_gemma":[0.00021607822,0.00017245734,0.7671586,0.000034948953,0.000032856264,0.0000012877056,0.049324147,0.18134433,0.0014689349,0.00011246799,0.000012173112,0.00012170201],"about_ca_topic_score_codex":0.0001262447,"about_ca_topic_score_gemma":0.00019577747,"teacher_disagreement_score":0.14637011,"about_ca_system_score_codex":0.000056294393,"about_ca_system_score_gemma":0.0000089001815,"threshold_uncertainty_score":0.25604266},"labels":[],"label_agreement":null},{"id":"W4284966309","doi":"10.1190/int-2022-0002.1","title":"Seismic reservoir characterization of the Gassum Formation in the Stenlille aquifer gas storage, Denmark — Part 2: Unsupervised classification","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"ARC Resources (Canada)","funders":"","keywords":"Reservoir modeling; Unsupervised learning; Workflow; Cluster analysis; Principal component analysis; Seismic attribute; Computer science; Geology; Artificial intelligence; Data mining; Pattern recognition (psychology); Petrology; Petroleum engineering; Database","score_opus":0.019288252010377455,"score_gpt":0.22135610809418313,"score_spread":0.20206785608380567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284966309","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":[0.9927905,0.000030964893,0.0021355255,0.002369418,0.00030750092,0.00034830032,0.00005480008,0.000027180606,0.00193581],"genre_scores_gemma":[0.99751675,0.000017209573,0.000035490153,0.0018974274,0.0000240606,0.000021429645,0.00033646272,0.000003164101,0.00014801398],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855,0.0005545518,0.00029006344,0.00013495806,0.00035353896,0.0001168764],"domain_scores_gemma":[0.9994334,0.000091387985,0.00020134874,0.00020959586,0.000050686842,0.000013605536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065794925,0.00007635855,0.000081512735,0.00011355148,0.00021870612,0.000037643887,0.00036133634,0.000028161025,0.0005200049],"category_scores_gemma":[0.0000527049,0.000051153416,0.000049565715,0.00040082377,0.0000441186,0.000414274,0.000021222411,0.0001818122,0.00001851005],"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":[0.0014816751,0.00044579842,0.3268375,0.00033415502,0.00007265656,0.000008602572,0.09551469,0.066097274,0.07214448,0.00049811695,0.04963157,0.38693348],"study_design_scores_gemma":[0.00014216133,0.00006645853,0.22911409,0.00003207823,0.000008995199,0.000010608695,0.0027702008,0.7583748,0.0019909127,0.00038115165,0.0070386394,0.000069903734],"about_ca_topic_score_codex":0.00042275,"about_ca_topic_score_gemma":0.00003802866,"teacher_disagreement_score":0.69227755,"about_ca_system_score_codex":0.000028757086,"about_ca_system_score_gemma":0.000025702975,"threshold_uncertainty_score":0.5693689},"labels":[],"label_agreement":null},{"id":"W4284970001","doi":"10.1190/int-2021-0205.1","title":"Characteristics and main controlling factors of dolomite reservoirs in the Upper Cambrian Sanshanzi Formation, eastern Ordos Basin, China","year":2022,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Dolomite; Geology; Lithology; Outcrop; Structural basin; Carbonate; Geochemistry; Dolomitization; Porosity; Permeability (electromagnetism); Petroleum reservoir; Geomorphology; Petrology; Paleontology; Facies; Geotechnical engineering","score_opus":0.008677405995457622,"score_gpt":0.21619588164063452,"score_spread":0.2075184756451769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284970001","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":[0.9806962,0.000073311465,0.018060824,0.00027549177,0.0001108696,0.00017303517,0.000050126022,0.000027821578,0.0005323061],"genre_scores_gemma":[0.99966043,0.000022226532,0.00003633874,0.000081728576,0.000016748567,0.000039879338,0.00009427259,0.000012539715,0.00003585914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990725,0.00017314813,0.00035452182,0.0000913443,0.00020110933,0.00010736831],"domain_scores_gemma":[0.9996598,0.0000794872,0.000079217745,0.00013409887,0.000023497178,0.000023903553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035491562,0.000096335934,0.00017023859,0.0001999862,0.00007447492,0.000043485346,0.000134504,0.000029268995,0.00004287044],"category_scores_gemma":[0.00006047628,0.000076800665,0.00005254233,0.00024866933,0.000019467781,0.00023882707,0.000025592206,0.00016864928,0.0000018334946],"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":[0.0004538947,0.0001674925,0.2587576,0.0005173122,0.00033586935,0.000026072647,0.19753653,0.52151287,0.013637903,0.0009495592,0.0005932814,0.0055116583],"study_design_scores_gemma":[0.00031085318,0.00003748189,0.05098932,0.000025112005,0.000023386627,0.0000038825688,0.0047585266,0.9431918,0.00020967014,0.00011382967,0.00024356792,0.000092545626],"about_ca_topic_score_codex":0.00008650055,"about_ca_topic_score_gemma":0.00016850085,"teacher_disagreement_score":0.421679,"about_ca_system_score_codex":0.000055788718,"about_ca_system_score_gemma":0.000008089787,"threshold_uncertainty_score":0.31318402},"labels":[],"label_agreement":null},{"id":"W4284976725","doi":"10.1190/int-2022-0001.1","title":"Seismic reservoir characterization of the Gassum Formation in the Stenlille aquifer gas storage, Denmark — Part 1","year":2022,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"ARC Resources (Canada)","funders":"","keywords":"Aquifer; Geology; Porosity; Reservoir modeling; Seismic attribute; Facies; Petrology; Oil shale; Petroleum engineering; Mineralogy; Geotechnical engineering; Geomorphology; Groundwater; Paleontology","score_opus":0.01199616591442758,"score_gpt":0.21233428013285865,"score_spread":0.20033811421843106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284976725","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":[0.99333686,0.000031910393,0.0016228488,0.0018890655,0.00037593395,0.00024072215,0.00004716473,0.000020240484,0.0024352407],"genre_scores_gemma":[0.99718285,0.00001089994,0.000027910692,0.0023498195,0.000021304535,0.000011354149,0.00018638275,0.000002232217,0.00020727303],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888635,0.0004019895,0.00021768994,0.0000992359,0.00029203502,0.000102715065],"domain_scores_gemma":[0.99955004,0.00007347175,0.00015579717,0.00017885247,0.000031344247,0.00001051702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054576754,0.00006076311,0.000068096866,0.00008551474,0.00017356787,0.000028377604,0.00030213874,0.000019444667,0.00061635254],"category_scores_gemma":[0.000040842147,0.000039122388,0.000041914554,0.00029090868,0.000035149897,0.0003326382,0.000022891825,0.00015740393,0.000016847223],"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":[0.0012516064,0.00032388966,0.31179374,0.00028541294,0.00006816079,0.000019222629,0.10626763,0.115944386,0.017874628,0.0002996433,0.10660337,0.33926833],"study_design_scores_gemma":[0.00015986743,0.000108844324,0.1344589,0.000045991732,0.000010324857,0.00002408197,0.0027637403,0.8357432,0.0030233676,0.00073120283,0.022838261,0.00009225357],"about_ca_topic_score_codex":0.0005418262,"about_ca_topic_score_gemma":0.00004835124,"teacher_disagreement_score":0.7197988,"about_ca_system_score_codex":0.000017681756,"about_ca_system_score_gemma":0.000020100497,"threshold_uncertainty_score":0.6748628},"labels":[],"label_agreement":null},{"id":"W4289339392","doi":"10.1190/int-2022-0004.1","title":"Particle size distribution analysis of mudstone based on digital image processing","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Silt; Kurtosis; Mineralogy; Geology; Particle-size distribution; Range (aeronautics); Particle size; Porosity; Particle (ecology); Geotechnical engineering; Geomorphology; Materials science; Statistics; Mathematics","score_opus":0.005234823406011238,"score_gpt":0.22634920624806393,"score_spread":0.2211143828420527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289339392","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":[0.70169437,0.000035273642,0.29667723,0.00011429399,0.000046464935,0.00006375888,0.00011919824,0.00012792407,0.0011214905],"genre_scores_gemma":[0.99947125,8.928752e-7,0.00005182835,0.000033443932,0.0000060463494,0.00003181304,0.00036632168,0.000009145413,0.000029279274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993329,0.000030475365,0.00021518231,0.000102489925,0.00023331352,0.00008560755],"domain_scores_gemma":[0.9997021,0.000057576486,0.000051320752,0.00011675178,0.00004292204,0.000029308536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009348144,0.00006743427,0.0001357912,0.00008908704,0.000057633297,0.000042024665,0.00006976697,0.000015015717,0.00020757045],"category_scores_gemma":[0.00006754015,0.000068800146,0.00012162706,0.0010630041,0.000018238514,0.0001949233,0.000012533267,0.000073682924,0.000006031992],"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":[0.000034109242,0.00005088577,0.00066017336,0.000013595603,0.0001323369,0.0000012931026,0.0005330213,0.98862565,0.0050396062,0.000013642056,0.000039417508,0.0048562717],"study_design_scores_gemma":[0.0001235644,0.00003974061,0.0017091007,0.0000057520742,0.00018717603,1.3139093e-7,0.00026511413,0.9925858,0.0049114926,0.0000209453,0.00008073891,0.00007046997],"about_ca_topic_score_codex":0.000005706321,"about_ca_topic_score_gemma":0.0000058961095,"teacher_disagreement_score":0.29777688,"about_ca_system_score_codex":0.00009781416,"about_ca_system_score_gemma":0.000010699182,"threshold_uncertainty_score":0.28055882},"labels":[],"label_agreement":null},{"id":"W4301718319","doi":"10.1190/int-2021-0239.1","title":"Applicability of decision tree-based machine learning models in the prediction of core-calibrated shale facies from wireline logs in the late Devonian Duvernay Formation, Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Geological Society of America","keywords":"Wireline; Facies; Geology; Decision tree; Sedimentary depositional environment; Petrology; Well logging; Machine learning; Devonian; Artificial intelligence; Data mining; Structural basin; Paleontology; Computer science; Petroleum engineering","score_opus":0.013575263033102624,"score_gpt":0.20247829179733765,"score_spread":0.188903028764235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301718319","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":[0.90050524,0.00006317789,0.09852475,0.00020848835,0.00003701553,0.00019869927,0.00007987317,0.000014223498,0.00036851334],"genre_scores_gemma":[0.99933285,0.000009961888,0.000053033866,0.0000740731,0.0000042567576,0.00006890506,0.00044344174,0.0000073240813,0.0000061731744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988201,0.00020135124,0.00047527766,0.00008898643,0.0003345526,0.00007967952],"domain_scores_gemma":[0.9993522,0.0003316885,0.00010435362,0.00016354365,0.000035523117,0.0000126545665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034193587,0.0000833246,0.00014453342,0.00011002563,0.000052809533,0.000011745987,0.00020441743,0.000029939294,0.00005121783],"category_scores_gemma":[0.00005998817,0.000059011138,0.00004359054,0.0004948087,0.00001889541,0.00016974994,0.000016614958,0.00021495356,3.8513815e-7],"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":[0.00005893531,0.000028429044,0.0061610565,0.000015966913,0.00001189519,8.450973e-7,0.007833994,0.9841875,0.00055327464,0.000017108283,0.00003208691,0.0010989106],"study_design_scores_gemma":[0.00031044398,0.000029511795,0.0039665718,0.000022688564,0.0000126121095,5.373199e-7,0.0020673156,0.99255586,0.00058439246,0.00031168354,0.00009207875,0.000046329573],"about_ca_topic_score_codex":0.19225314,"about_ca_topic_score_gemma":0.6281814,"teacher_disagreement_score":0.43592826,"about_ca_system_score_codex":0.00012370742,"about_ca_system_score_gemma":0.000037790818,"threshold_uncertainty_score":0.8131257},"labels":[],"label_agreement":null},{"id":"W4366981259","doi":"10.1190/int-2023-0420-fe.1","title":"Beware the geophysics of Wonderland!","year":2023,"lang":"en","type":"article","venue":"Interpretation","topic":"Geographic Information Systems Studies","field":"Social 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":"Ontario Drive & Gear (Canada); General Electric (Canada)","funders":"","keywords":"Geology; Geophysics","score_opus":0.020385445906047687,"score_gpt":0.32331082166330727,"score_spread":0.3029253757572596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366981259","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":[0.83524597,0.00006459234,0.001854915,0.003590406,0.0010478253,0.00042684335,0.000010936424,0.00023364334,0.15752488],"genre_scores_gemma":[0.9990549,0.00001982231,0.000010558407,0.00006557914,0.000042626132,0.000018195182,0.000004670076,0.0000019389893,0.0007817168],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9994708,0.000049503353,0.0001380458,0.000038214614,0.00021838366,0.000085052976],"domain_scores_gemma":[0.9995269,0.00015640943,0.000089692934,0.00007159983,0.00014528976,0.000010068408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004053364,0.000029488992,0.000053166066,0.00005762188,0.00021309793,0.000019928335,0.00010365512,0.000021371572,0.000015496093],"category_scores_gemma":[0.00013519062,0.000020923779,0.00003959433,0.0004482731,0.000111020534,0.00013711456,0.000019708714,0.00003051995,0.00014004891],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012714203,0.000008943722,0.02099897,0.000042971158,0.0000688094,4.2781602e-7,0.8307103,0.00021035713,0.000078048666,0.11452605,0.0074556456,0.025886789],"study_design_scores_gemma":[0.0004040732,0.000082978164,0.30593586,0.00019783621,0.00004564208,7.3782485e-7,0.5525128,0.0047352104,0.00024566407,0.05719771,0.07835662,0.00028485068],"about_ca_topic_score_codex":0.00072210666,"about_ca_topic_score_gemma":0.0005205132,"teacher_disagreement_score":0.2849369,"about_ca_system_score_codex":0.000011075454,"about_ca_system_score_gemma":0.000020657288,"threshold_uncertainty_score":0.18000922},"labels":[],"label_agreement":null},{"id":"W4367848491","doi":"10.1190/int-2023-0006.1","title":"Destruction mechanism of organic matter enrichment controlled by tectonism in the lower Silurian organic-rich marine mudstone in the western South China Block","year":2023,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Lamination; Sedimentology; Sedimentary depositional environment; Geology; Organic matter; Sedimentary rock; Palaeogeography; Paleontology; Petrography; Geochemistry; Tectonics; Ecology; Chemistry","score_opus":0.00418633286930092,"score_gpt":0.2057973320054621,"score_spread":0.20161099913616118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367848491","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":[0.9902972,0.000027635208,0.0072224797,0.0011576439,0.00019004643,0.00043246787,0.0000036562185,0.000072594026,0.000596292],"genre_scores_gemma":[0.999441,0.000026212221,0.000017030401,0.0001817226,0.000029848748,0.00009348688,0.000045210367,0.000024169429,0.00014127955],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878466,0.00017942027,0.00043149784,0.00015499316,0.00027834054,0.00017111326],"domain_scores_gemma":[0.9995486,0.00007610918,0.00008272488,0.00024844805,0.000025729922,0.000018366813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046956813,0.00014904515,0.00023909325,0.0002628556,0.000034505632,0.000052919528,0.00024412066,0.0000767182,0.00016213662],"category_scores_gemma":[0.000036227022,0.00009554332,0.000069560534,0.0008818577,0.00001718979,0.00011388101,0.000029269377,0.00020589362,0.00011567678],"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":[0.0007671144,0.0008601327,0.026576906,0.00035788972,0.0009594118,0.00009797369,0.31821138,0.16269465,0.4835501,0.000392058,0.0028695122,0.002662872],"study_design_scores_gemma":[0.008234688,0.0003770049,0.04200596,0.00016596355,0.00031587319,0.00003464196,0.013350704,0.90921307,0.022575492,0.002774749,0.00017765372,0.0007742127],"about_ca_topic_score_codex":0.00006838609,"about_ca_topic_score_gemma":0.0005677371,"teacher_disagreement_score":0.74651843,"about_ca_system_score_codex":0.000071088216,"about_ca_system_score_gemma":0.000009964165,"threshold_uncertainty_score":0.38961437},"labels":[],"label_agreement":null},{"id":"W4385967090","doi":"10.1190/int-2023-0009.1","title":"A machine-learning workflow to integrate high-resolution core-based facies into basin-scale stratigraphic models for the Wolfcamp and Third Bone Spring Sand, Delaware Basin","year":2023,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BP (Canada)","funders":"","keywords":"Facies; Geology; Petrology; Sedimentary depositional environment; Reservoir modeling; Well logging; Structural basin; Geomorphology; Geophysics; Petroleum engineering","score_opus":0.015250218187232671,"score_gpt":0.23259681412625208,"score_spread":0.2173465959390194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385967090","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":[0.27924758,0.00037211998,0.7185366,0.0008610705,0.0001629148,0.0003283417,0.000017878843,0.00039327456,0.00008018759],"genre_scores_gemma":[0.9952866,0.00016531695,0.003939892,0.00014559973,0.00003883937,0.00021621631,0.0001013378,0.000036635625,0.00006958308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989197,0.000061783496,0.0003250517,0.00024755724,0.00020886901,0.00023702475],"domain_scores_gemma":[0.9993396,0.00024121128,0.000054626846,0.00018513278,0.00009157961,0.00008786585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003735769,0.00020162387,0.00022708153,0.00036626775,0.00023899756,0.00017062595,0.00013058132,0.000091715236,0.000008986818],"category_scores_gemma":[0.00008950854,0.00015881765,0.00012538013,0.00070898654,0.000041796822,0.00027501996,0.000027449625,0.00021703163,0.000016814445],"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":[0.000077768695,0.0000062928852,0.00062514294,0.000063641775,0.0000640139,0.0000012832787,0.0027252294,0.9815197,0.0036549636,0.00022490711,0.0001322091,0.010904845],"study_design_scores_gemma":[0.00029233447,0.00005791786,0.00062706036,0.00013431076,0.000058949205,5.671629e-7,0.0005829276,0.99450284,0.0015102668,0.0016550601,0.00039406386,0.0001836927],"about_ca_topic_score_codex":0.00046605745,"about_ca_topic_score_gemma":0.0023908769,"teacher_disagreement_score":0.716039,"about_ca_system_score_codex":0.00006211931,"about_ca_system_score_gemma":0.000017097715,"threshold_uncertainty_score":0.6476396},"labels":[],"label_agreement":null},{"id":"W4391024893","doi":"10.1190/int-2022-0104.1","title":"Toward real-time fracture detection on image logs using deep convolutional neural network YOLOv5","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Convolutional neural network; Fracture (geology); Hydraulic fracturing; Process (computing); Expediting; Artificial intelligence; Stability (learning theory); Borehole; Deep learning; Software; Petroleum engineering; Geology; Machine learning; Geotechnical engineering; Engineering","score_opus":0.007318572491402669,"score_gpt":0.2349271260308727,"score_spread":0.22760855353947004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391024893","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":[0.25864264,0.0004917474,0.73538953,0.0002390283,0.0010806833,0.00011901189,0.0000064055876,0.00087563944,0.0031553241],"genre_scores_gemma":[0.9985304,0.000029522014,0.0006645952,0.00007921842,0.00050166214,0.000008843887,0.0000420241,0.000037502487,0.00010627038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914473,0.00004664637,0.00020988978,0.00020833669,0.00017548268,0.00021491402],"domain_scores_gemma":[0.9996484,0.000108106105,0.000024812383,0.00012762277,0.000036679958,0.00005436152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010994584,0.0001609117,0.00014529536,0.00014344024,0.00006740233,0.000122048026,0.000081437276,0.00012647467,0.00020735942],"category_scores_gemma":[0.000026834492,0.00014504755,0.00013783612,0.00022118456,0.000027140013,0.00023693091,0.000012657515,0.00027898388,0.00024838198],"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":[0.000022480328,0.0000049425007,0.000007834573,0.00005932366,0.00010440081,0.000019647216,0.0004652937,0.9831697,0.008667446,0.0000065486333,0.00044604312,0.007026377],"study_design_scores_gemma":[0.0000617354,0.000032495722,0.00042351606,0.00013900749,0.00006016189,0.000019279176,0.000022065271,0.99447626,0.003682322,0.00023735862,0.0006960092,0.00014977546],"about_ca_topic_score_codex":0.00008289646,"about_ca_topic_score_gemma":0.000017117785,"teacher_disagreement_score":0.7398877,"about_ca_system_score_codex":0.0002018946,"about_ca_system_score_gemma":0.000011454806,"threshold_uncertainty_score":0.59148675},"labels":[],"label_agreement":null},{"id":"W4392101981","doi":"10.1190/int-2023-0072.1","title":"Use of resistivity and density borehole image logs to identify and distribute facies in the Pikka unit — A case study from the Nanushuk Formation, North Slope, Alaska","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Studies and Exploration","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":"Mira Geoscience (Canada)","funders":"","keywords":"Facies; Borehole; Geology; Electrical resistivity and conductivity; Unit (ring theory); Petrology; Mineralogy; Geotechnical engineering; Geomorphology; Engineering; Mathematics; Electrical engineering; Structural basin","score_opus":0.043064490565773536,"score_gpt":0.2681887388801818,"score_spread":0.22512424831440825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392101981","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":[0.9954753,0.00021255105,0.0028857803,0.000878937,0.000053988908,0.00029407255,0.00017175583,0.000009546457,0.00001808414],"genre_scores_gemma":[0.9996572,0.000033667788,0.00007194643,0.00011641022,0.000010156916,0.000004579289,0.00009983436,7.6343724e-7,0.0000054367347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935824,0.00016767193,0.00015823788,0.0001308973,0.00010987508,0.00007508558],"domain_scores_gemma":[0.9992759,0.00054652675,0.000034033907,0.000080741665,0.00004344227,0.000019360203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002855561,0.0000647041,0.00008269727,0.000023158691,0.00014888913,0.00021281735,0.000055156415,0.000016560894,0.000012418468],"category_scores_gemma":[0.0001954147,0.00003409126,0.000013206619,0.00018598564,0.00006577594,0.00045862971,0.000027529206,0.000073361436,0.000008300764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005375424,0.000015569609,0.9408406,0.00001312502,0.000016132648,0.00010335978,0.030137716,0.00022633703,0.000013540054,0.0000073148426,0.00040665996,0.028165888],"study_design_scores_gemma":[0.00005331238,0.000112035515,0.98020965,0.000017675973,0.000019990443,0.000020972495,0.010194327,0.008841215,0.000011157353,0.00024938164,0.00022767091,0.00004260644],"about_ca_topic_score_codex":0.016475614,"about_ca_topic_score_gemma":0.18117942,"teacher_disagreement_score":0.16470382,"about_ca_system_score_codex":0.00000262852,"about_ca_system_score_gemma":0.000004722723,"threshold_uncertainty_score":0.99007374},"labels":[],"label_agreement":null},{"id":"W4394692660","doi":"10.1190/int-2023-0032.1","title":"A precise and refined identification method for carbonate bioreefs and prograding bodies guided by a knowledge graph","year":2024,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Carbonate; Geology; Carbonate platform; Identification (biology); Hydrocarbon exploration; Paleontology; Structural basin; Graph; Facies; Computer science; Chemistry","score_opus":0.013464472760650189,"score_gpt":0.3027052260460194,"score_spread":0.2892407532853692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394692660","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":[0.047218174,0.015739482,0.9333666,0.0006250385,0.0003806924,0.0005601017,0.000037122914,0.0006132735,0.0014595254],"genre_scores_gemma":[0.99512225,0.00031062088,0.0038665056,0.000011917654,0.000025807187,0.00024032453,0.0000660783,0.000024385865,0.0003320982],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993668,0.00003340888,0.00023709108,0.00020211215,0.0000622556,0.00009832251],"domain_scores_gemma":[0.99971,0.00009460222,0.000022054357,0.000081176724,0.000049299386,0.000042821255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614406,0.00010659245,0.00012464737,0.00023574027,0.000043555865,0.00019020618,0.000040947976,0.00005419511,0.0000026322325],"category_scores_gemma":[0.00005658739,0.00009695059,0.000050610364,0.00018191255,0.00002339705,0.00029387325,0.000011614951,0.00005505183,0.0000026615005],"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":[0.00008162099,0.000053268937,0.00013088122,0.0026577648,0.001088606,0.0000034560933,0.034821644,0.00519848,0.41972268,0.0036075462,0.015265261,0.5173688],"study_design_scores_gemma":[0.00012395853,0.000021084288,0.000027314343,0.000098339304,0.000093396586,0.000002740609,0.000160607,0.9842845,0.00917785,0.0019254358,0.003973294,0.000111487636],"about_ca_topic_score_codex":0.0000101860405,"about_ca_topic_score_gemma":0.00005804964,"teacher_disagreement_score":0.97908604,"about_ca_system_score_codex":0.00002999357,"about_ca_system_score_gemma":0.0000064810756,"threshold_uncertainty_score":0.39535305},"labels":[],"label_agreement":null},{"id":"W4394786457","doi":"10.1190/int-2023-0067.1","title":"A computational topology-based method for extracting fault surfaces","year":2024,"lang":"en","type":"article","venue":"Interpretation","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":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Fault (geology); Stuck-at fault; Fault model; Fault coverage; Fault indicator; Topology (electrical circuits); Computer science; Algorithm; Fault detection and isolation; Artificial intelligence; Engineering; Geology; Seismology","score_opus":0.017428435112578106,"score_gpt":0.3101917268466188,"score_spread":0.2927632917340407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394786457","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":[0.017357985,0.0003372783,0.9770634,0.0018854118,0.0005441053,0.0001245246,0.00004696282,0.0002629505,0.0023773573],"genre_scores_gemma":[0.8018979,0.0000012240754,0.19653256,0.0012599359,0.00003379697,0.0000026823607,0.00015419871,0.000002376128,0.000115360046],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994826,0.00004804778,0.00012369516,0.00016085857,0.00008631872,0.00009849328],"domain_scores_gemma":[0.99901974,0.0008457233,0.000029448052,0.000040961873,0.00004158621,0.000022564434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003277293,0.00006081868,0.00006460861,0.000095926305,0.00006807444,0.00008809874,0.00006326173,0.00003657104,0.00038015924],"category_scores_gemma":[0.000077055,0.00005223681,0.000052267183,0.00008046667,0.000025881516,0.00018817357,0.0000017186763,0.00007031981,0.00006282439],"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":[0.00005695483,0.000006030323,0.0017300018,0.00007616884,0.000020880774,0.0000036414986,0.0007418117,0.10540814,0.0001621641,0.00043501842,0.011320878,0.8800383],"study_design_scores_gemma":[0.000056429613,0.0000597605,0.0006296408,0.000052989446,0.000009771903,0.0000062470062,0.0001226433,0.975532,0.00126484,0.009514337,0.01268624,0.000065132255],"about_ca_topic_score_codex":0.0005256475,"about_ca_topic_score_gemma":0.000013637272,"teacher_disagreement_score":0.8799732,"about_ca_system_score_codex":0.0000058125784,"about_ca_system_score_gemma":0.000043261505,"threshold_uncertainty_score":0.4162477},"labels":[],"label_agreement":null},{"id":"W4396624964","doi":"10.1190/int-2023-0112.1","title":"Seismic net-to-gross estimation for a geologic model update: A case study from a turbidite lobe reservoir in the deepwater of the Niger Delta","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Seismology; Amplitude; Seismic inversion; Seismic to simulation; Amplitude versus offset; Azimuth; Geometry","score_opus":0.020705946879769167,"score_gpt":0.2764088758710358,"score_spread":0.2557029289912666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396624964","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":[0.8920493,0.00011015437,0.10538773,0.0014659808,0.0001785659,0.0006171432,0.00009383744,0.00004357224,0.00005368619],"genre_scores_gemma":[0.99584126,0.0000022021813,0.0019037843,0.002088755,0.000019196235,0.000026911728,0.00007337033,0.0000035359574,0.000040998944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991471,0.00014283553,0.00022555201,0.00020497366,0.00015426995,0.00012524283],"domain_scores_gemma":[0.99945843,0.00023265244,0.00004532485,0.00020668567,0.00003913133,0.000017748149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050240447,0.000090238456,0.000094914474,0.00009600538,0.00007353035,0.00009732483,0.00025027004,0.000039722257,0.000032581876],"category_scores_gemma":[0.000077392804,0.00004885167,0.000052979918,0.00021453424,0.000037412312,0.00022845872,0.000019161876,0.00011805718,0.000020173868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024060164,0.00007338145,0.035374794,0.000059013528,0.000040609993,0.00009351711,0.0604641,0.8052224,0.000091359245,0.000017188091,0.012272204,0.08605084],"study_design_scores_gemma":[0.000104642255,0.0001077935,0.002944996,0.00006429995,0.00002257724,0.000035926536,0.001881514,0.988237,0.00032752054,0.0060106697,0.0001984976,0.00006453859],"about_ca_topic_score_codex":0.014988599,"about_ca_topic_score_gemma":0.0016592667,"teacher_disagreement_score":0.18301463,"about_ca_system_score_codex":0.00001013894,"about_ca_system_score_gemma":0.000031487773,"threshold_uncertainty_score":0.99157065},"labels":[],"label_agreement":null},{"id":"W4399324606","doi":"10.1190/int-2024-0603-spseintro.1","title":"Introduction to special section: Recent advances in reservoir characterization","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydraulic Fracturing 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":"ARC Resources (Canada)","funders":"","keywords":"Section (typography); Special section; Characterization (materials science); Geology; Reservoir modeling; Philosophy; Engineering; Computer science; Engineering physics; Petroleum engineering; Materials science; Nanotechnology; Operating system","score_opus":0.0043163836582955925,"score_gpt":0.23423853791580446,"score_spread":0.22992215425750887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399324606","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":[0.4828891,0.0023011654,0.46545094,0.009602839,0.021674054,0.00044371976,0.000015203079,0.001185807,0.016437193],"genre_scores_gemma":[0.98699284,0.001105383,0.000114910006,0.00003984367,0.011063299,0.00003970427,0.00010102211,0.000022403883,0.0005205964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993402,0.000026577405,0.0002036418,0.00019011767,0.00012235937,0.000117146585],"domain_scores_gemma":[0.999797,0.000017428487,0.000010555972,0.000107044085,0.000032369833,0.00003561487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012280425,0.00008775899,0.000091775604,0.00033823884,0.000021972146,0.000087056746,0.000057015885,0.000052952008,0.00037447055],"category_scores_gemma":[0.000047019385,0.00008561637,0.000033571876,0.00059754483,0.0000065394884,0.0005230641,0.000009484111,0.00014864418,0.00018734187],"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":[0.000035806734,0.000010381349,0.000050266284,0.00012234521,0.000022528786,0.0000066653556,0.0021302057,0.75077224,0.008791596,0.000028363214,0.005232174,0.23279746],"study_design_scores_gemma":[0.000043414533,0.00002441004,0.0013127126,0.00013137083,0.00000773247,0.0000037961438,0.000054648477,0.26911834,0.00412099,0.00008062022,0.7249919,0.00011003055],"about_ca_topic_score_codex":0.0000049728455,"about_ca_topic_score_gemma":0.00015014753,"teacher_disagreement_score":0.71975976,"about_ca_system_score_codex":0.0002060874,"about_ca_system_score_gemma":0.000008464052,"threshold_uncertainty_score":0.41001898},"labels":[],"label_agreement":null},{"id":"W4400001980","doi":"10.1190/int-2024-0624-spseintro.1","title":"Introduction to special section: Induced seismicity","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"earthquake and tectonic studies","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":"Induced seismicity; Section (typography); Special section; Geology; Seismology; Computer science; Physics; Engineering physics; Operating system","score_opus":0.0121172137143915,"score_gpt":0.23479908182146575,"score_spread":0.22268186810707424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400001980","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":[0.9377861,0.00023195273,0.003890355,0.005454843,0.014429594,0.00015796807,0.000013369069,0.00019990755,0.03783591],"genre_scores_gemma":[0.9839906,0.000008164175,0.00013409309,0.0003479247,0.014912736,0.0000016638943,0.000023257335,0.0000022977786,0.00057925045],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993983,0.000028530323,0.00011797234,0.00021858932,0.00012302796,0.000113611786],"domain_scores_gemma":[0.9997928,0.000052186802,0.00001321967,0.00007354961,0.000029308358,0.00003893111],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012518512,0.000071143164,0.000069576694,0.0001113385,0.00007560806,0.00010040946,0.000047976217,0.00003526373,0.0037526148],"category_scores_gemma":[0.000053129075,0.00006117904,0.000037273363,0.00027224605,0.000012578098,0.00022093263,0.000005110092,0.000109629094,0.0020433357],"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":[0.00007467402,0.0000059953286,0.0043539386,0.000023441788,0.000049009468,0.000010526922,0.003594338,0.0015288874,0.00034716097,0.00026597452,0.07543667,0.9143094],"study_design_scores_gemma":[0.0001288468,0.0005398529,0.3874215,0.00008253579,0.000037780886,0.000058637874,0.00052578154,0.036000818,0.0024672244,0.0018896803,0.57052034,0.00032702304],"about_ca_topic_score_codex":0.0005071268,"about_ca_topic_score_gemma":0.0013586121,"teacher_disagreement_score":0.9139824,"about_ca_system_score_codex":0.000009944497,"about_ca_system_score_gemma":0.000020774401,"threshold_uncertainty_score":0.9987337},"labels":[],"label_agreement":null},{"id":"W4401717541","doi":"10.1190/int-2024-0024.1","title":"The Cibarco anticline of the northernmost San Jacinto fold belt: Possible influence of mud diapirism on the Neogene to the recent evolution of the structure where the first oil and gas wells were drilled in Colombia","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological and Tectonic Studies in Latin America","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":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Anticline; Diapir; Geology; Neogene; Fold (higher-order function); Trias; Geochemistry; Paleontology; Tectonics; Cenozoic; Phanerozoic","score_opus":0.004304018656691759,"score_gpt":0.2044700099984174,"score_spread":0.20016599134172566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401717541","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":[0.96350306,0.0032481982,0.000009992771,0.03063191,0.00038035677,0.00032487506,0.00006244744,0.000007176567,0.0018319858],"genre_scores_gemma":[0.99870014,0.0006694976,0.000014112009,0.0004926737,0.000026072983,0.000005468119,0.0000019537185,0.0000032247985,0.00008685032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868774,0.00027904482,0.00035752516,0.00018875248,0.0003178223,0.00016912524],"domain_scores_gemma":[0.99780846,0.00150169,0.00019650861,0.0003887183,0.00008602615,0.000018614212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047489788,0.00012863737,0.00015916927,0.00002027407,0.00040245347,0.000036639136,0.0005754117,0.00005244701,0.00023728024],"category_scores_gemma":[0.00049496966,0.000039626513,0.00007800477,0.0005293219,0.0005570573,0.000041837895,0.0001071507,0.00025393825,0.0000039664815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048307134,0.000048429847,0.45676297,0.00014245497,0.00021226007,0.0000014464842,0.021053901,0.08262636,0.0014802867,0.0010683043,0.003055135,0.43306538],"study_design_scores_gemma":[0.00013824542,0.00026366106,0.9677109,0.00034571663,0.000041706593,0.0000045652578,0.0018859167,0.020260308,0.0008288754,0.0019911702,0.006445918,0.00008299079],"about_ca_topic_score_codex":0.002498189,"about_ca_topic_score_gemma":0.026826898,"teacher_disagreement_score":0.51094794,"about_ca_system_score_codex":0.000015994785,"about_ca_system_score_gemma":0.000043687633,"threshold_uncertainty_score":0.990931},"labels":[],"label_agreement":null},{"id":"W4403184834","doi":"10.1190/int-2024-0082.1","title":"Poroelasticity and rock-physics templates","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poromechanics; Template; Physics; Theoretical physics; Geology; Computer science; Geotechnical engineering; Porous medium; Programming language; Porosity","score_opus":0.004675943996017967,"score_gpt":0.21573573644046906,"score_spread":0.21105979244445108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403184834","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":[0.15130375,0.0010972735,0.8434492,0.00006865387,0.00021424236,0.000028103346,0.0000033070814,0.0004065464,0.0034289558],"genre_scores_gemma":[0.99961287,0.000034371355,0.00013122526,0.000012431722,0.00006619978,0.0000036878453,0.000006329417,0.0000110205965,0.00012186945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997328,0.0000054602756,0.00007284704,0.00007565472,0.000049879436,0.000063395186],"domain_scores_gemma":[0.9998661,0.000051346273,0.0000038604994,0.000046114106,0.000008556478,0.000023984296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002783067,0.000055849414,0.00005667431,0.00003834806,0.000017365004,0.00006467927,0.000025686339,0.000027442211,0.000024630823],"category_scores_gemma":[0.000011256493,0.000047213558,0.00002708067,0.00007061446,0.000004689213,0.00011135988,0.000007246369,0.00007627703,0.00006702234],"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":[0.0000037630316,0.0000050540584,0.00022534076,0.00029139352,0.00017010802,0.000014317237,0.0019904478,0.9554238,0.0020201157,0.00014187246,0.0010759364,0.038637884],"study_design_scores_gemma":[0.00001794836,0.000007097066,0.0002995791,0.00009334733,0.000021958904,0.00000381297,0.000019470219,0.99458003,0.0033315676,0.00065595086,0.00091286656,0.000056396566],"about_ca_topic_score_codex":0.000013023436,"about_ca_topic_score_gemma":0.000005655186,"teacher_disagreement_score":0.8483091,"about_ca_system_score_codex":0.000016991036,"about_ca_system_score_gemma":0.0000028179522,"threshold_uncertainty_score":0.1925313},"labels":[],"label_agreement":null},{"id":"W4405463195","doi":"10.1190/int-2024-0010.1","title":"Temperature-dependent elastic properties of bitumen-bearing sands and its seismic application in the McMurray Formation, Alberta","year":2024,"lang":"en","type":"article","venue":"Interpretation","topic":"Drilling and Well Engineering","field":"Engineering","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; Asphalt; Oil sands; Bearing (navigation); Geotechnical engineering; Geochemistry; Materials science; Geography; Composite material; Cartography","score_opus":0.004726620570684215,"score_gpt":0.18808118535646087,"score_spread":0.18335456478577666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405463195","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":[0.8970762,0.0029241354,0.09850305,0.000077592755,0.00023118053,0.00022150319,0.0000018644712,0.000121601355,0.00084286014],"genre_scores_gemma":[0.99976665,0.00007049508,0.000021098514,0.000011947991,0.00002645194,0.000051693554,0.0000061291585,0.000014340601,0.000031174193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995651,0.000011880456,0.0001790826,0.00008177175,0.00008362409,0.00007851759],"domain_scores_gemma":[0.99984115,0.000051409777,0.0000120551485,0.000067818095,0.000016374972,0.000011178104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012731474,0.000077251374,0.00007034972,0.00010973361,0.000016290049,0.000060478604,0.00006016312,0.000037957743,0.0000011451147],"category_scores_gemma":[0.0000202984,0.00005729313,0.000016109747,0.00012969482,0.000006494301,0.00023943794,0.0000070329565,0.000113177004,0.000009659202],"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":[0.000005753168,0.000005735791,0.00003859149,0.0008507513,0.000019298752,6.789861e-7,0.012233645,0.8112693,0.16918872,0.00049850426,0.00002468875,0.005864342],"study_design_scores_gemma":[0.000053345593,0.000009951608,0.00011485524,0.0003906929,0.000009829729,0.000009568899,0.00015042866,0.9567491,0.042256314,0.000067683846,0.0001250858,0.00006318347],"about_ca_topic_score_codex":0.00002760928,"about_ca_topic_score_gemma":0.000033473163,"teacher_disagreement_score":0.14547977,"about_ca_system_score_codex":0.000030667423,"about_ca_system_score_gemma":0.0000048537327,"threshold_uncertainty_score":0.2336346},"labels":[],"label_agreement":null},{"id":"W4410953092","doi":"10.1190/int-2024-0173.1","title":"Quantitative 3D seismic interpretation of Silurian reef structures in southern Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Interpretation","topic":"Geological Modeling 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":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Reef; Interpretation (philosophy); Geology; Paleontology; Seismology; Oceanography; Philosophy; Linguistics","score_opus":0.00800363840024707,"score_gpt":0.21969680189034377,"score_spread":0.2116931634900967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410953092","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":[0.96861583,0.00016129235,0.02639663,0.0002445378,0.00021118022,0.00007645324,0.000034844958,0.000010489568,0.0042487136],"genre_scores_gemma":[0.99794567,0.0000019787096,0.001163724,0.00025896943,0.0000051907577,0.0000010051668,0.00010625204,0.000001180715,0.0005160516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914944,0.0000962301,0.0003112193,0.00018465675,0.00013778839,0.00012066858],"domain_scores_gemma":[0.999557,0.00015073709,0.00010525127,0.0000949018,0.00006709171,0.00002502259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013711896,0.00009015012,0.00017625326,0.00015050767,0.000031917607,0.000018081902,0.00012747639,0.000049572984,0.0005891996],"category_scores_gemma":[0.00012979135,0.00007424779,0.000043416556,0.0002235721,0.00003079695,0.000080779995,0.0000064291685,0.00012358929,0.00001033515],"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":[0.00022178979,0.000008042892,0.23318566,0.000022799517,0.000045044355,0.000003483516,0.006774838,0.7051862,0.000029796158,0.00011152255,0.00008149996,0.05432934],"study_design_scores_gemma":[0.00011068127,0.000054991422,0.1386445,0.000073420415,0.000020037472,3.5196274e-7,0.0019189995,0.85487264,0.000030836243,0.004163005,0.00004193182,0.00006859597],"about_ca_topic_score_codex":0.98255104,"about_ca_topic_score_gemma":0.9986735,"teacher_disagreement_score":0.14968647,"about_ca_system_score_codex":0.00003332699,"about_ca_system_score_gemma":0.0002359903,"threshold_uncertainty_score":0.64513224},"labels":[],"label_agreement":null},{"id":"W4412123025","doi":"10.1190/int-2024-0177.1","title":"Machine learning and seismic attributes for petroleum prospect generation and evaluation: An example from offshore Australia","year":2025,"lang":"en","type":"article","venue":"Interpretation","topic":"Reservoir Engineering and Simulation Methods","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":false,"ca_institutions":"Bishop's University","funders":"","keywords":"Submarine pipeline; Petroleum; Petroleum exploration; Petroleum engineering; Geology; Engineering; Geotechnical engineering; Paleontology","score_opus":0.05507861254346764,"score_gpt":0.3357834653838815,"score_spread":0.28070485284041385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412123025","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":[0.54360497,0.0005068743,0.45543417,0.000025352747,0.00013673675,0.00015716912,0.000008392379,0.00007885448,0.000047487498],"genre_scores_gemma":[0.9852158,0.000026693875,0.014009764,0.000009425808,0.00007641517,0.000076029115,0.0003767103,0.000012950331,0.00019623539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994245,0.000058956393,0.00017037276,0.00017379977,0.000083581,0.00008878313],"domain_scores_gemma":[0.9996693,0.00012800512,0.000022052418,0.00007940117,0.000070332164,0.0000308811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034379718,0.00010050749,0.000116525385,0.00008797213,0.000062361934,0.00009440164,0.00003228994,0.000059706108,0.00002017227],"category_scores_gemma":[0.000069742826,0.00010575835,0.0000182852,0.00006355043,0.000010576786,0.0001975997,0.00000868897,0.000087505054,6.1868667e-7],"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":[0.000017760754,0.000003480687,0.0042994437,0.000038949373,0.000032492047,9.493734e-8,0.0005583518,0.97393864,0.0066755735,0.00016971352,0.000060173996,0.014205296],"study_design_scores_gemma":[0.0005660661,0.000041512943,0.0059319404,0.000030836658,0.000041969546,5.156631e-7,0.000043680848,0.98845255,0.0028553037,0.0009216006,0.0010190494,0.00009499642],"about_ca_topic_score_codex":0.00010893296,"about_ca_topic_score_gemma":0.000054170534,"teacher_disagreement_score":0.4416108,"about_ca_system_score_codex":0.000046409197,"about_ca_system_score_gemma":0.0000072028374,"threshold_uncertainty_score":0.43127003},"labels":[],"label_agreement":null},{"id":"W4412571285","doi":"10.1190/int-2025-0718-spseintro.1","title":"Introduction to the special section: Humanosphere and near-surface geophysics","year":2025,"lang":"en","type":"article","venue":"Interpretation","topic":"Methane Hydrates and Related Phenomena","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":"Geoscience BC","funders":"","keywords":"Section (typography); Special section; Geophysics; Geology; Surface (topology); Engineering; Engineering physics; Computer science; Geometry; Mathematics","score_opus":0.003109899297575393,"score_gpt":0.2110959907771877,"score_spread":0.2079860914796123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412571285","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":[0.9510208,0.000043647244,0.0041100206,0.0060852524,0.002367762,0.00020596666,8.53402e-7,0.000023125636,0.03614261],"genre_scores_gemma":[0.98893315,0.000010413667,0.00058558217,0.0005317329,0.0015157205,0.0000070540723,0.0000035869214,0.0000048673187,0.008407885],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995244,0.00003923592,0.000096979835,0.00017572494,0.000084210595,0.000079438476],"domain_scores_gemma":[0.99980605,0.000019996132,0.00002755546,0.00011782791,0.000007219833,0.000021375794],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010266025,0.000060246555,0.000051342686,0.0000041430335,0.00016805092,0.00006394904,0.000066414636,0.000032764412,0.0012188739],"category_scores_gemma":[0.000016535743,0.000043263262,0.0000172379,0.00020756433,0.0000545055,0.00010366963,0.00006467806,0.00009984104,0.00036689354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002956953,0.00009769246,0.0062255887,0.000029295248,0.00009920209,0.0000017827767,0.018198488,0.29087338,0.024501408,0.004625589,0.411676,0.2433759],"study_design_scores_gemma":[0.00033904333,0.00019489812,0.060495026,0.00003950201,0.00006293296,0.0000061367755,0.0006896347,0.04886233,0.002695068,0.006879808,0.8794736,0.00026201882],"about_ca_topic_score_codex":0.000104130006,"about_ca_topic_score_gemma":0.00009333076,"teacher_disagreement_score":0.46779764,"about_ca_system_score_codex":0.00006063364,"about_ca_system_score_gemma":0.000004131044,"threshold_uncertainty_score":0.99969417},"labels":[],"label_agreement":null},{"id":"W4415123561","doi":"10.1190/int-2024-0156","title":"Characterizing fault features in low-density seismic coverage areas using the satellite gravity and EMAG magnetic data: A case study of the southeastern Gulf of Mexico basin","year":2025,"lang":"en","type":"article","venue":"Interpretation","topic":"Reservoir Engineering and Simulation Methods","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":false,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Fault (geology); Tectonics; Structural basin; Sedimentary rock; Sedimentary basin; Amplitude; Submarine pipeline; Reflection (computer programming); Boundary (topology)","score_opus":0.016074453118609784,"score_gpt":0.28633396832369273,"score_spread":0.27025951520508296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415123561","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":[0.94011724,0.00026251833,0.059049692,0.000022820384,0.00018439736,0.00029386007,0.000018669849,0.000019485318,0.000031326992],"genre_scores_gemma":[0.99962693,0.000012514078,0.00029746594,0.000019376781,0.000008740721,0.0000036452902,0.000004274597,0.00001024983,0.000016791186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915695,0.00020458904,0.0002923331,0.0001431258,0.00011359762,0.000089425754],"domain_scores_gemma":[0.99924606,0.00020889362,0.000062035186,0.00042721105,0.000041852636,0.000013968169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040204552,0.000108096385,0.00018729894,0.00008360418,0.000035172558,0.00003537518,0.00016764652,0.000045305867,0.0000010317991],"category_scores_gemma":[0.00011326775,0.00007737588,0.00002772625,0.00018992083,0.000028866321,0.0001256797,0.000099280245,0.00016698707,1.1126096e-7],"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":[0.000046789002,0.000042802476,0.06180768,0.0002565685,0.00004187854,0.000017670402,0.01432683,0.90693754,0.008219715,0.0000058141864,0.0000011896387,0.008295532],"study_design_scores_gemma":[0.00032848242,0.000016383243,0.13677323,0.0002598887,0.000035800374,0.000028393246,0.0014758033,0.85940886,0.0015419462,0.000064035135,0.0000056067934,0.0000615442],"about_ca_topic_score_codex":0.0005939814,"about_ca_topic_score_gemma":0.00032846414,"teacher_disagreement_score":0.07496555,"about_ca_system_score_codex":0.000021090234,"about_ca_system_score_gemma":0.000010748167,"threshold_uncertainty_score":0.31552967},"labels":[],"label_agreement":null},{"id":"W4415567884","doi":"10.1190/int-2025-0026","title":"Hydrocarbon source correlation and multiphase accumulation in the northern Kuqa Thrust Belt: Implications from geochemical fingerprinting and tectono-thermal evolution of the Dibei Field, NW China","year":2025,"lang":"en","type":"article","venue":"Interpretation","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":false,"ca_institutions":"Petro-Canada","funders":"","keywords":"Sterane; Source rock; Hopanoids; Prospectivity mapping; Petrography; Petroleum; Hydrocarbon","score_opus":0.005424127032004654,"score_gpt":0.23285773745799176,"score_spread":0.22743361042598711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415567884","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":[0.8308555,0.00022373491,0.16731389,0.0007754222,0.000058265334,0.00017956726,0.0000030765696,0.000033409087,0.000557161],"genre_scores_gemma":[0.9997309,0.000011824777,0.00009040931,0.00007254212,0.000021961714,0.000030050332,0.000025845095,0.000007782204,0.00000871177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927723,0.00007892998,0.0003091057,0.00014717932,0.0000999919,0.00008756598],"domain_scores_gemma":[0.999465,0.00021756349,0.0000777136,0.0001914374,0.000033312663,0.000014979023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015353133,0.00009940864,0.00011501564,0.000110361274,0.00008527905,0.000040208783,0.000110218396,0.000094473,0.000004656826],"category_scores_gemma":[0.00017708569,0.00007333556,0.00004616974,0.0003053977,0.000038018807,0.00016036304,0.00003571338,0.00020306841,6.899361e-7],"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":[0.000049356648,0.000049322116,0.3107102,0.00005155274,0.00008766957,1.9871138e-7,0.012291491,0.5430755,0.07825793,0.0002556181,0.000019207575,0.05515194],"study_design_scores_gemma":[0.00019945817,0.000006227893,0.20981681,0.00006712961,0.000039145067,4.415131e-7,0.0002689006,0.78653985,0.0022499622,0.00074195105,0.000012789542,0.00005733894],"about_ca_topic_score_codex":0.0006878647,"about_ca_topic_score_gemma":0.0010389738,"teacher_disagreement_score":0.24346432,"about_ca_system_score_codex":0.0000634932,"about_ca_system_score_gemma":0.000013710102,"threshold_uncertainty_score":0.29905373},"labels":[],"label_agreement":null}]}