{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10252,"total_is_capped":false,"direct_labels_cover":16,"predictions_cover":10252,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"30f8d1379138","filters":{"topic":"Geochemistry and Geologic Mapping"}},"results":[{"id":"W2156975150","doi":"10.1186/2049-2618-2-15","title":"Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis","year":2014,"lang":"en","type":"article","venue":"Microbiome","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1413,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; Ontario Genomics","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Computational biology; RNA-Seq; Metagenomics; Deep sequencing; DNA sequencing; Microbiome; Genetics; Gene; Genome; Transcriptome; Gene expression","retraction":null,"screen_n_in":null,"score":{"opus":0.02728441816851818,"gpt":0.2509414988580768,"spread":0.2236570806895586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000946195,0.0002525385,0.0005349418,0.0003442357,0.0004049831,0.0001957582,0.001596054,0.00008823948,0.00002539753],"category_scores_gemma":[0.00006729913,0.0002116893,0.0001085089,0.002753328,0.0001726611,0.0006270182,0.001265039,0.0001821337,0.000002760211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598616,"about_ca_system_score_gemma":0.00006640729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285559,"about_ca_topic_score_gemma":0.00002581892,"domain_scores_codex":[0.9977641,0.0002238708,0.0004717614,0.0009164933,0.0002396802,0.0003840587],"domain_scores_gemma":[0.9978307,0.0002086484,0.0003950653,0.0013365,0.0001458312,0.0000832132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000529576,0.00002372424,0.0006474311,0.00002376185,0.002018163,0.00000466203,0.0006923974,0.0004865362,0.9950407,0.0004330941,0.0004215996,0.0002026767],"study_design_scores_gemma":[0.0003769805,0.00003410057,0.004305223,0.00004107678,0.001668172,0.00004203184,0.0001995258,0.1263996,0.8652273,0.0004309343,0.0008011661,0.0004739441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6593946,0.000286183,0.3367701,0.001203288,0.00008637803,0.0001571481,0.001854104,0.00007957103,0.0001686281],"genre_scores_gemma":[0.9763661,0.0000187328,0.01770724,0.000455706,0.00003815932,0.000006616011,0.005374449,0.000004908093,0.00002808643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3190628,"threshold_uncertainty_score":0.8632441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086620533","doi":"10.1126/science.320.5879.1011a","title":"Free Access to Landsat Imagery","year":2008,"lang":"en","type":"letter","venue":"Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":956,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Remote sensing; Satellite imagery; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.0318775319152108,"gpt":0.2584903770252236,"spread":0.2266128451100128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.000463699,0.0002389773,0.0002295777,0.0002561219,0.0004215739,0.0008166078,0.01234273,0.0002148654,0.00005460609],"category_scores_gemma":[0.0007040735,0.0002063907,0.00007236232,0.001671222,0.0004208754,0.0009677697,0.004067943,0.0007790577,0.0002122543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000633624,"about_ca_system_score_gemma":0.0004640392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002028063,"about_ca_topic_score_gemma":0.000001342961,"domain_scores_codex":[0.9969047,0.00002654779,0.0002046794,0.001125108,0.0009412261,0.0007977252],"domain_scores_gemma":[0.9972683,0.00009546143,0.0001107493,0.002103553,0.0002690426,0.0001529521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[2.854983e-7,0.000003842307,0.0001197255,0.00001835658,0.000001353908,0.0003866636,0.00009253494,0.00002177358,0.0003300027,0.00003701445,0.9979883,0.00100015],"study_design_scores_gemma":[0.00004979511,0.0000150388,0.0008271938,0.00003543181,0.000001364714,0.0001349421,0.000001427279,0.0003273065,0.002886857,0.002863111,0.9925463,0.0003112459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001432486,0.00005020381,0.0159546,0.9215434,0.001247731,0.0001516317,0.000009648425,0.0002084956,0.06069106],"genre_scores_gemma":[0.001435635,0.00001687451,0.01019854,0.9684661,0.001627549,0.0000315747,0.00000744444,0.000004993561,0.01821128],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04692273,"threshold_uncertainty_score":0.993001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W11107958","doi":"10.5382/av100.14","title":"Distribution, Character, and Genesis of Gold Deposits in Metamorphic Terran","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":923,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Publishing; Geology; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.01786344014856446,"gpt":0.1994763381558801,"spread":0.1816128980073157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001614984,0.0002150005,0.0003433476,0.00006472034,0.00002393944,0.0000293726,0.0004363037,0.0002338673,0.00009751633],"category_scores_gemma":[0.00001827916,0.000193573,0.00007040137,0.00004766012,0.00005956254,0.0001209601,0.0002692623,0.0001650081,0.00001119991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000209168,"about_ca_system_score_gemma":0.00003054496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003544533,"about_ca_topic_score_gemma":0.00004264811,"domain_scores_codex":[0.9988909,0.00001137483,0.0003554502,0.0004122087,0.0001531115,0.0001769678],"domain_scores_gemma":[0.9992248,0.000039505,0.0001762036,0.0004155708,0.00008167848,0.00006228701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001683362,0.0001111458,0.002706347,0.0004887072,0.000174758,0.0001308191,0.0003874471,0.00003426151,0.00359543,0.8375723,0.003580052,0.1512019],"study_design_scores_gemma":[0.001361448,0.0001707668,0.07722424,0.0008163003,0.0001409005,0.000430998,0.0000195079,0.004023504,0.01654344,0.04768204,0.849471,0.00211585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007068309,0.003502914,0.02866518,0.005314539,0.0002636015,0.0004557548,0.00005669996,0.0001748313,0.9544982],"genre_scores_gemma":[0.3671165,0.0005613931,0.003265717,0.0002153651,0.0001318261,0.0000103599,0.00009917391,0.000007297473,0.6285924],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8458909,"threshold_uncertainty_score":0.7893677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2974031284","doi":"10.18814/epiiugs/2004/v27i2/002","title":"A new Geologic Time Scale, with special reference to Precambrian and Neogene","year":2004,"lang":"en","type":"article","venue":"Episodes","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":915,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Precambrian; Neogene; Geology; Scale (ratio); Geologic time scale; Paleontology; Earth science; Cartography; Geography; Sedimentary rock","retraction":null,"screen_n_in":null,"score":{"opus":0.009985957268882704,"gpt":0.201495095180681,"spread":0.1915091379117983,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048449,0.0001230834,0.0001363211,0.0000323794,0.0000945111,0.00008289838,0.0004020635,0.00005684228,0.000121327],"category_scores_gemma":[0.00004153907,0.0000956898,0.00001501743,0.0002172855,0.00004220957,0.0001365888,0.0002266913,0.00008366285,0.0001855094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001584917,"about_ca_system_score_gemma":0.00006832933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079387,"about_ca_topic_score_gemma":0.0001029911,"domain_scores_codex":[0.9991131,0.00001743244,0.0001045726,0.0003857521,0.0001216821,0.0002574196],"domain_scores_gemma":[0.9994116,0.00002493335,0.00003666615,0.0003103212,0.00004076711,0.0001756699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004562804,0.0004616315,0.03245001,0.000208116,0.0001739136,0.0007296188,0.01072999,0.02146384,0.08518831,0.2051254,0.03336291,0.60965],"study_design_scores_gemma":[0.004455098,0.002696127,0.2808425,0.0004836059,0.00004730077,0.001242903,0.0001686647,0.002064483,0.139344,0.2290513,0.3370385,0.002565459],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4454373,0.0001694224,0.2577926,0.02375619,0.0001348863,0.0003809796,0.000002882632,0.0003477792,0.2719779],"genre_scores_gemma":[0.8055226,0.000008006084,0.18055,0.0005808463,0.0003782986,0.000009426581,0.000002441258,0.000002899157,0.0129454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6070845,"threshold_uncertainty_score":0.3902117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129504210","doi":"10.1016/j.scitotenv.2004.11.023","title":"Background and threshold: critical comparison of methods of determination","year":2005,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":868,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Outlier; Standard deviation; Statistics; Range (aeronautics); Computer science; Threshold limit value; Data mining; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04488368077834658,"gpt":0.3337557976041268,"spread":0.2888721168257802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176873,0.00005610951,0.0001130194,0.0000188299,0.0001114145,0.00001202838,0.0008186112,0.00002044601,0.00002020137],"category_scores_gemma":[0.0001028559,0.00003206011,0.00003437261,0.0001370742,0.001652335,0.0001569806,0.0006846812,0.00006284173,0.000001091624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001783878,"about_ca_system_score_gemma":0.00001691728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004221307,"about_ca_topic_score_gemma":8.555475e-8,"domain_scores_codex":[0.999172,0.00005595784,0.0002063038,0.0001563849,0.0002850435,0.0001242654],"domain_scores_gemma":[0.9992208,0.0001498984,0.0001285095,0.0004543373,0.00001874291,0.00002769894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000602817,0.0001837665,0.0001769269,0.00004224476,0.000005634128,9.457186e-8,0.002050839,0.0306131,0.8793926,0.04055757,0.00001916905,0.04695208],"study_design_scores_gemma":[0.00006690573,0.00005740331,0.01063553,0.00001613108,0.000008524398,0.000008878817,0.0001838708,0.262053,0.7214556,0.005391822,0.00007211916,0.00005026113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958626,0.0001843306,0.0328641,0.004651135,0.00008004228,0.0001046408,8.197267e-7,0.000004782859,0.003484144],"genre_scores_gemma":[0.952496,0.000004747335,0.04734159,0.000007706345,0.000007439112,0.000001532997,3.103093e-8,5.447366e-7,0.000140406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2314399,"threshold_uncertainty_score":0.6088098,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088298220","doi":"10.1016/j.scitotenv.2005.01.047","title":"Geochemical background—concept and reality","year":2005,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":715,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Biogeochemical cycle; Soil water; Natural (archaeology); Earth science; Environmental science; Scale (ratio); Soil science; Physical geography; Hydrology (agriculture); Geology; Environmental chemistry; Chemistry; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01550858793557967,"gpt":0.2150160191353988,"spread":0.1995074311998191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000686122,0.0000787712,0.00007673429,0.000008837131,0.0002694438,0.00003847151,0.001332884,0.00002377407,0.00004655632],"category_scores_gemma":[0.00004371363,0.00004199436,0.00003815993,0.0001435626,0.001654865,0.0001937304,0.001330411,0.0001037494,0.00001343783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004481717,"about_ca_system_score_gemma":0.00002610426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001538832,"about_ca_topic_score_gemma":1.156881e-7,"domain_scores_codex":[0.9989663,0.0000330333,0.0001346807,0.0002688985,0.000374222,0.0002228363],"domain_scores_gemma":[0.9990515,0.00004289843,0.00008090385,0.0007579859,0.000009073531,0.00005766804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001006873,0.0002311433,0.00007467028,0.00001831383,0.00002100864,0.000001418597,0.004543946,0.08720861,0.7999852,0.07306353,0.001470894,0.03337114],"study_design_scores_gemma":[0.0003172497,0.00005984772,0.02708135,0.00002404995,0.00001445709,0.0001265806,0.0002419769,0.08504446,0.860343,0.02026577,0.006187959,0.0002933052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392576,0.0001373842,0.001741064,0.04706777,0.0001027179,0.0001485038,0.000001672823,0.00002173956,0.0115215],"genre_scores_gemma":[0.9965369,0.000008439508,0.001809427,0.00006759348,0.00003455289,0.000003046559,1.055133e-7,6.83241e-7,0.001539261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06035774,"threshold_uncertainty_score":0.6097421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1748073762","doi":"10.1111/j.1525-1314.2010.00887.x","title":"Formation of gold deposits: a metamorphic devolatilization model","year":2010,"lang":"en","type":"article","venue":"Journal of Metamorphic Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":622,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Newmont Corporation; Barrick Gold Corporation","keywords":"Metamorphic rock; Greenschist; Geology; Geochemistry; Metamorphic facies; Shear zone; Metamorphism; Archean; Magnetite; Metasomatism; Mineralogy; Facies; Mantle (geology); Geomorphology","retraction":null,"screen_n_in":null,"score":{"opus":0.0186278660773911,"gpt":0.2262415964074098,"spread":0.2076137303300187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288416,0.0001535758,0.0004356534,0.0002706462,0.00005527667,0.00002568404,0.0009188176,0.0002112042,0.00003730051],"category_scores_gemma":[0.0006978819,0.000125536,0.0001792089,0.0003926105,0.00009718616,0.00077435,0.0001253307,0.0005066606,0.000005001549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001217668,"about_ca_system_score_gemma":0.0001459864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006240478,"about_ca_topic_score_gemma":0.0000264608,"domain_scores_codex":[0.9982451,0.0001169774,0.0008834998,0.0001734873,0.0003340428,0.000246913],"domain_scores_gemma":[0.9972455,0.0001337412,0.001186906,0.0004164681,0.0009125816,0.000104824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009521932,0.0003853342,0.005836712,0.0002392644,0.0002525603,0.00009664684,0.001538824,0.07451504,0.7683008,0.1282767,0.002341161,0.01812168],"study_design_scores_gemma":[0.0009816028,0.0002451965,0.004837716,0.00003160393,0.0001211025,0.002554625,0.00004062542,0.8148029,0.1036623,0.07044196,0.002040954,0.0002394106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3416977,0.0002085586,0.652454,0.003068062,0.0004678928,0.00007599644,5.386681e-7,0.0000197578,0.002007426],"genre_scores_gemma":[0.9235722,0.00002625602,0.07590964,0.0001486194,0.00007522932,0.000002584957,0.000001831115,0.000002373306,0.0002612657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7402879,"threshold_uncertainty_score":0.5119208,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130337482","doi":"10.2113/gselements.5.5.281","title":"Gold in Solution","year":2009,"lang":"en","type":"article","venue":"Elements","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":547,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Citation; Icon; Library science; Computer science; Download; World Wide Web; Art history; Information retrieval; History","retraction":null,"screen_n_in":null,"score":{"opus":0.01517001744150803,"gpt":0.2406100916374159,"spread":0.2254400741959079,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302411,0.00003293006,0.00003332639,0.00001905569,0.00001594496,0.00001485095,0.0002140896,0.00001691441,0.00002002802],"category_scores_gemma":[0.00001819909,0.00003240014,0.000009440324,0.0001155575,0.000002912438,0.00009528457,0.00003989353,0.00003831755,0.00003444807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001383892,"about_ca_system_score_gemma":0.000006297276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003820312,"about_ca_topic_score_gemma":0.000001878582,"domain_scores_codex":[0.9995882,0.000009121439,0.00008314553,0.0001128919,0.00006756583,0.0001390957],"domain_scores_gemma":[0.9998136,0.000003593767,0.00002045669,0.0001339926,0.00001049052,0.0000178592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001206577,0.0006358408,0.06537271,0.00002697668,0.00001419921,0.0001730169,0.00154838,0.0004012393,0.07194292,0.1228906,0.05978036,0.6772016],"study_design_scores_gemma":[0.002012582,0.0002857786,0.3930633,0.00007902876,0.000002939836,0.000024511,0.00004643584,0.09188703,0.0400331,0.148807,0.3231492,0.0006090638],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3087718,0.0001584514,0.1227173,0.03641036,0.0005301628,0.0003104968,8.272962e-7,0.0003066354,0.5307939],"genre_scores_gemma":[0.9924579,0.000001244658,0.005133329,0.0003422096,0.00001557252,0.000001589899,0.000001165177,1.777778e-7,0.002046774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6836861,"threshold_uncertainty_score":0.132124,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2613408792","doi":"10.1177/0962280217710835","title":"Compositional data analysis for physical activity, sedentary time and sleep research","year":2017,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":547,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Ministerio de Economía y Competitividad; Australian Government; Coca-Cola Foundation","keywords":"Compositional data; Multicollinearity; Physical activity; Statistical inference; Causal inference; Statistics; Econometrics; Inference; Psychology; Regression analysis; Computer science; Mathematics; Medicine; Physical therapy; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.3791836015499943,"gpt":0.623165077965462,"spread":0.2439814764154677,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03256501,0.0001252237,0.0004193577,0.000303962,0.001001383,0.0004319698,0.004086102,0.0001696761,0.0004053116],"category_scores_gemma":[0.05682416,0.0001074836,0.00004594064,0.0006568397,0.00205114,0.0003077844,0.006361615,0.001525064,0.00002318117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005940281,"about_ca_system_score_gemma":0.0002779812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002760847,"about_ca_topic_score_gemma":0.00005046165,"domain_scores_codex":[0.9921122,0.003323092,0.0002279852,0.001099764,0.002351378,0.0008855515],"domain_scores_gemma":[0.9652452,0.03185216,0.00004706464,0.00188147,0.0004251078,0.0005489645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001595706,0.0005533941,0.00113155,0.0001277346,0.000196021,0.0002695168,0.0001433172,0.00001033362,0.002140614,0.1474275,0.005619561,0.8422209],"study_design_scores_gemma":[0.0003642389,0.0001368441,0.02884987,0.00002916828,0.00001693825,0.000007684821,0.00001318863,0.7599959,0.0005219453,0.2061946,0.003762396,0.0001072075],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00353029,0.000036106,0.9651938,0.02412332,0.00005649734,0.0003497107,0.000185547,0.0000184336,0.006506309],"genre_scores_gemma":[0.2628785,0.00001986235,0.7360466,0.00005574971,0.0002286394,0.00008843834,0.00009066907,0.000003919041,0.0005876122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8421137,"threshold_uncertainty_score":0.9961779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3112654685","doi":"10.5382/sp.10.16","title":"Linkages between Volcanotectonic Settings, Ore-Fluid Compositions, and Epithermal Precious Metal Deposits","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":526,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fibics (Canada)","funders":"","keywords":"Nothing; Geologist; Globe; History; Art history; Philosophy; Archaeology; Psychology; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.01217631104736225,"gpt":0.2110120234867024,"spread":0.1988357124393401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002491268,0.0004895109,0.0005431607,0.0001120112,0.0002831537,0.0001803132,0.0008695962,0.0005215484,0.0002192373],"category_scores_gemma":[0.00002473708,0.0004485408,0.0001614938,0.00004920455,0.0001410542,0.0002107145,0.0007365762,0.0005976166,0.0001096527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005435767,"about_ca_system_score_gemma":0.00009374011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001270833,"about_ca_topic_score_gemma":0.0000079471,"domain_scores_codex":[0.9979163,0.00003499699,0.0004569484,0.0008556945,0.0003181103,0.0004179857],"domain_scores_gemma":[0.9985448,0.0002020648,0.0002355054,0.0006930692,0.0001363807,0.0001881564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001568259,0.0001521791,0.0009171722,0.0009167763,0.002044841,0.0006088975,0.001107301,0.000435593,0.007615675,0.4264556,0.01418192,0.5455483],"study_design_scores_gemma":[0.001118366,0.000410412,0.003404913,0.000727348,0.0004746107,0.0009968298,0.00001100664,0.004087849,0.02919289,0.03188114,0.9247407,0.002953932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001655456,0.003484093,0.03391403,0.009402216,0.0002011405,0.0005436505,0.00005160473,0.00075822,0.9499896],"genre_scores_gemma":[0.1496754,0.0003001639,0.03297468,0.0009557653,0.0008805736,0.00001924921,0.0001456538,0.00003106251,0.8150175],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9105588,"threshold_uncertainty_score":0.9997966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W83901612","doi":"10.5382/av100.13","title":"Iron Oxide Copper-Gold Deposits&lt;subtitle&gt;Geology, Space-Time Distribution, and Possible Modes of Origin&lt;/subtitle&gt;","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":501,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Subtitle; Geology; Political science; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.01125405531112892,"gpt":0.2059473426353362,"spread":0.1946932873242073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000328263,0.000644047,0.0007994439,0.000131929,0.0001682624,0.0001161132,0.001050718,0.0007986664,0.0008753592],"category_scores_gemma":[0.00006855351,0.0005876533,0.0002098218,0.0001231105,0.0004336308,0.0002838482,0.0007882015,0.0004396055,0.0003994459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067276,"about_ca_system_score_gemma":0.0001830255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006270052,"about_ca_topic_score_gemma":0.00009417289,"domain_scores_codex":[0.9971831,0.0000367825,0.0006597452,0.001058521,0.0004464502,0.0006153589],"domain_scores_gemma":[0.9977217,0.0001499447,0.0004352888,0.001099174,0.0003387517,0.0002551557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003486133,0.00009991461,0.0004002736,0.0003173838,0.000174605,0.00008335793,0.00008826023,0.0004785505,0.02219385,0.8965135,0.07541598,0.004199448],"study_design_scores_gemma":[0.001125471,0.0002958401,0.0009722497,0.0004765293,0.0001893837,0.000511876,0.00001300256,0.01648229,0.03044359,0.04045004,0.9069801,0.002059643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004572351,0.001847895,0.0141177,0.002984595,0.0001857656,0.0004105145,0.0001018844,0.0003512932,0.975428],"genre_scores_gemma":[0.1591083,0.0004805257,0.009124332,0.0001891532,0.0002093152,0.00001359156,0.0002269966,0.00002353838,0.8306242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8560635,"threshold_uncertainty_score":0.9996575,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2175159455","doi":"10.1007/978-3-540-77058-9_4","title":"Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in geoinformation and cartography","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":493,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Coining (mint); Key (lock); Object (grammar); Cartography; Geography; Data science; Computer science; Artificial intelligence; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.008837022685398122,"gpt":0.2147339194157672,"spread":0.2058968967303691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002061729,0.0004990527,0.0006317481,0.00142172,0.0002153456,0.000218034,0.0005135902,0.0004878853,0.0001049598],"category_scores_gemma":[0.00008816473,0.0004606136,0.0007550293,0.0008804505,0.0001289644,0.0003605069,0.00013372,0.0004317322,0.000007991187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002111966,"about_ca_system_score_gemma":0.0002155836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001342703,"about_ca_topic_score_gemma":0.0004699634,"domain_scores_codex":[0.9980235,0.00001383192,0.0006394433,0.0005475011,0.0003453761,0.0004303086],"domain_scores_gemma":[0.9982848,0.0002193072,0.000407153,0.0006764733,0.0001735994,0.0002387001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006138604,0.0002628061,0.01444074,0.002958128,0.0051196,0.00013837,0.02354549,0.1011398,0.0002497771,0.0546396,0.028128,0.7687639],"study_design_scores_gemma":[0.004042197,0.0004565827,0.004424202,0.0004179197,0.0008941607,0.000077351,0.00002180079,0.1825058,0.000575153,0.1181829,0.685799,0.002602912],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008986614,0.001354693,0.968642,0.00283321,0.000130359,0.0005681476,0.00003619835,0.0001832855,0.02616223],"genre_scores_gemma":[0.3669634,0.004011142,0.5457018,0.01360915,0.002044132,0.0003749889,0.007052845,0.0001415583,0.06010097],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.766161,"threshold_uncertainty_score":0.9997845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001555409","doi":"10.1016/j.cageo.2013.09.011","title":"An Excel spreadsheet to classify chemical analyses of amphiboles following the IMA 2012 recommendations","year":2013,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":447,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Amphibole; Microsoft excel; Prefix; Orthorhombic crystal system; Computer science; Wollastonite; Mineralogy; Database; Chemistry; Geology; Crystallography; Crystal structure; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.0418556032836355,"gpt":0.3141429906150016,"spread":0.2722873873313661,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000465603,0.0001676516,0.0002176386,0.0001042414,0.0003107951,0.0003346944,0.002603182,0.00005589876,0.00006324772],"category_scores_gemma":[0.00009735792,0.0001134645,0.0001240235,0.0009447562,0.0002134877,0.0010069,0.0005271357,0.0001164767,0.00003554512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000169114,"about_ca_system_score_gemma":0.00006350931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003012608,"about_ca_topic_score_gemma":0.00001046558,"domain_scores_codex":[0.9983119,0.0000984135,0.0003293685,0.0005243352,0.0003343871,0.0004015337],"domain_scores_gemma":[0.9985327,0.0002629916,0.0001403665,0.000733738,0.0001416388,0.0001885342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006238828,0.0005795234,0.01103682,0.00004957384,0.0001187556,0.00001144558,0.005936892,0.005894227,0.6092651,0.01188311,0.09408262,0.2611357],"study_design_scores_gemma":[0.000643393,0.0004945109,0.07088257,0.0002749824,0.00006604851,0.00005696906,0.00236873,0.6711539,0.1763393,0.02772125,0.04853097,0.00146738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4466612,0.0001166473,0.5129976,0.03572748,0.001127012,0.0003204294,0.000003574751,0.0001728817,0.002873165],"genre_scores_gemma":[0.9292149,0.000003568033,0.06964169,0.000852678,0.00007681797,0.00002566184,0.000005267842,0.000001894362,0.0001775057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6652597,"threshold_uncertainty_score":0.4837403,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2975619549","doi":"10.1093/gigascience/giz107","title":"A field guide for the compositional analysis of any-omics data","year":2019,"lang":"en","type":"article","venue":"GigaScience","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":369,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Normalization (sociology); Compositional data; Computer science; Extant taxon; Data mining; Sample size determination; Computational biology; Data set; Field (mathematics); Bioinformatics; Statistics; Biology; Mathematics; Artificial intelligence; Machine learning; Evolutionary biology","retraction":null,"screen_n_in":null,"score":{"opus":0.03295175102729838,"gpt":0.2817874691237989,"spread":0.2488357180965005,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430928,0.00004923733,0.0001054433,0.0000419291,0.0000985779,0.00004792129,0.002714193,0.00002312096,0.00003465763],"category_scores_gemma":[0.0001898398,0.00003405938,0.00005693161,0.0007217675,0.00006455126,0.0002122852,0.000596902,0.00004269243,0.000004852576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000544275,"about_ca_system_score_gemma":0.00006495335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002961841,"about_ca_topic_score_gemma":0.000005712841,"domain_scores_codex":[0.9992049,0.00001090246,0.0001438711,0.0003084645,0.0001850715,0.0001467483],"domain_scores_gemma":[0.9980963,0.0005600291,0.0000821392,0.001135157,0.0001010432,0.00002532154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000634495,0.0003055972,0.07419118,0.0001658721,0.0009735666,0.000006582794,0.002015419,0.08565492,0.2709541,0.4751092,0.05082994,0.03973012],"study_design_scores_gemma":[0.00008043314,0.00004006162,0.008585357,0.000005268243,0.00004458241,0.000003171794,0.00003594771,0.9559097,0.007485098,0.00152471,0.02621639,0.00006933065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02067662,0.00005789802,0.9656833,0.007833241,0.0001916598,0.000144728,0.00003485868,0.00002110018,0.005356584],"genre_scores_gemma":[0.9668074,0.000004199375,0.0313688,0.0008332946,0.00001771362,0.000005000067,0.00001900516,4.880532e-7,0.0009440963],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9461308,"threshold_uncertainty_score":0.5043691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3181729304","doi":"10.1117/1.jrs.15.031501","title":"Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Remote Sensing","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":368,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Canadian Space Agency","keywords":"Hyperspectral imaging; Endmember; Geologic map; Environmental geology; Geology; Mineral exploration; Subpixel rendering; Remote sensing; Information extraction; Economic geology; Earth science; Pixel; Hydrogeology; Computer science; Artificial intelligence; Geophysics; Geomorphology","retraction":null,"screen_n_in":null,"score":{"opus":0.0216561749662448,"gpt":0.2349681167024675,"spread":0.2133119417362227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008543362,0.0002081071,0.0004823805,0.0001061905,0.0001185161,0.00008200484,0.000196374,0.0001477065,0.00001259402],"category_scores_gemma":[0.00009817829,0.0001877393,0.00007947629,0.0003317413,0.0001097125,0.0002943396,0.0001869063,0.0005411792,0.000002748079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007132896,"about_ca_system_score_gemma":0.00007147058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008622544,"about_ca_topic_score_gemma":0.000008550208,"domain_scores_codex":[0.9981433,0.0001760409,0.0006663618,0.0004181026,0.0002531467,0.0003430846],"domain_scores_gemma":[0.9989748,0.00004662446,0.0003901729,0.0003396354,0.0001003217,0.0001484452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005734995,0.00006322624,0.00004268454,0.0001438698,0.00005819281,0.004065399,0.00248836,0.0009891256,0.4020093,0.0003756641,0.0006645179,0.5890423],"study_design_scores_gemma":[0.003692343,0.0003651267,0.002680793,0.0022492,0.0001266921,0.0513579,0.00588515,0.7563728,0.05012663,0.09846746,0.02702215,0.001653755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6036144,0.003192538,0.3652259,0.02129173,0.0003621505,0.0002384483,7.270369e-7,0.00007334104,0.006000712],"genre_scores_gemma":[0.4762517,0.001447064,0.5201351,0.001826075,0.0002055317,7.448058e-9,0.00001583229,0.000006592162,0.0001121029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7553837,"threshold_uncertainty_score":0.7655785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038393361","doi":"10.1144/1467-7873/09-210","title":"The interpretation of geochemical survey data","year":2010,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":332,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Data mining; Multivariate statistics; Computer science; Exploratory data analysis; Principal component analysis; Compositional data; Missing data; Visualization; Earth science; Artificial intelligence; Machine learning; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.02593977087994152,"gpt":0.2388714595501291,"spread":0.2129316886701876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141019,0.0001436997,0.0001920499,0.00004029103,0.0001712949,0.0000926162,0.001831612,0.0001076463,0.0001581881],"category_scores_gemma":[0.0006191321,0.0001157564,0.0001002739,0.0005020631,0.0001664437,0.0004601177,0.0006916365,0.000226131,0.00002100229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001519078,"about_ca_system_score_gemma":0.00003037498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002655831,"about_ca_topic_score_gemma":0.00006322611,"domain_scores_codex":[0.998446,0.00007274105,0.0004060506,0.0005202256,0.0003535716,0.000201437],"domain_scores_gemma":[0.9969279,0.0002978719,0.0002951587,0.002321187,0.00008781319,0.00007003702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000961306,0.0005523983,0.05768369,0.00007466478,0.002061972,0.000007494266,0.001407294,0.02928015,0.8603032,0.002576501,0.006479993,0.03947647],"study_design_scores_gemma":[0.0001517353,0.00001071447,0.005322379,0.000004156838,0.0001637302,0.000002244201,0.0001064606,0.8306269,0.1515452,0.002770191,0.009052142,0.0002441399],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07303698,0.00008501019,0.9182706,0.004128116,0.0001364465,0.0002035754,0.00007067288,0.00008403572,0.003984584],"genre_scores_gemma":[0.9946675,0.00005581387,0.003358498,0.00002058971,0.00003889645,0.00002727451,0.001181738,0.000002045479,0.0006476713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9216305,"threshold_uncertainty_score":0.4720407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1764818718","doi":"10.1029/2004gc000852","title":"High‐precision Pb‐Sr‐Nd‐Hf isotopic characterization of USGS BHVO‐1 and BHVO‐2 reference materials","year":2005,"lang":"en","type":"article","venue":"Geochemistry Geophysics Geosystems","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":323,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Pacific Institute for the Mathematical Sciences; University of British Columbia","funders":"","keywords":"Geology; Isotope; Basalt; Geochemistry; Mineralogy; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01068904492944456,"gpt":0.2043474915575567,"spread":0.1936584466281121,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004412483,0.000384579,0.0006060234,0.00005349395,0.0001733723,0.0001796539,0.0009042319,0.0002990962,0.0001271217],"category_scores_gemma":[0.00009328534,0.0003826507,0.00007561252,0.0003370728,0.00009312131,0.0005105262,0.0004999266,0.0002134792,0.00006388641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004676075,"about_ca_system_score_gemma":0.00008139187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202974,"about_ca_topic_score_gemma":0.000002603192,"domain_scores_codex":[0.9973433,0.00008343691,0.0007888206,0.0008205689,0.0004563389,0.0005075529],"domain_scores_gemma":[0.997598,0.00009791255,0.0006344517,0.00112812,0.0003831425,0.000158354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001250373,0.00007489116,0.0001780904,0.000448636,0.00002493233,0.000005138551,0.0002156367,0.00003325579,0.9901111,0.00239306,0.0001338002,0.006368962],"study_design_scores_gemma":[0.0004884776,0.00004977435,0.002779605,0.0002526486,0.00001878311,0.00004802214,0.00003867363,0.001461576,0.9812573,0.002424993,0.01072524,0.0004549061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891126,0.0001166121,0.006564667,0.000674877,0.0003793223,0.0002976264,0.0001049437,0.0001630963,0.002586275],"genre_scores_gemma":[0.9944955,0.00006386172,0.001590438,0.00007074284,0.0005616707,0.00004929442,0.0002554455,0.000009616299,0.002903403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01059144,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064814164","doi":"10.1038/ngeo1920","title":"Giant ore deposits formed by optimal alignments and combinations of geological processes","year":2013,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":321,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Geochemistry; Ore genesis; Lead (geology); Tectonics; Paleontology; Fluid inclusions; Hydrothermal circulation","retraction":null,"screen_n_in":null,"score":{"opus":0.005976983397366473,"gpt":0.2181775686455442,"spread":0.2122005852481778,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001672238,0.0001101519,0.0001245589,0.00003554405,0.000175633,0.00008697442,0.0007711796,0.0001656199,0.00001597922],"category_scores_gemma":[0.0004835821,0.00008228309,0.00001738521,0.0004991958,0.0002277923,0.00049442,0.0003367313,0.0002068632,0.000005245668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009637431,"about_ca_system_score_gemma":0.00005813825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002088295,"about_ca_topic_score_gemma":0.00000257559,"domain_scores_codex":[0.998859,0.00002028313,0.0001594375,0.0003755723,0.0003008698,0.0002848567],"domain_scores_gemma":[0.9992009,0.00009847929,0.0001016341,0.0002236883,0.0002765811,0.00009876096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000327392,0.00409601,0.2111958,0.001459312,0.0001053057,0.0000924167,0.005745146,0.0005496845,0.3378007,0.3066847,0.05944498,0.07279316],"study_design_scores_gemma":[0.003670213,0.00135337,0.4762052,0.0003695974,0.00004029991,0.000667484,0.0007414225,0.1247463,0.2473889,0.1153823,0.0273949,0.00204006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8736439,0.001033577,0.1118037,0.008032648,0.0001718673,0.0003770667,0.000007182404,0.000104067,0.004825931],"genre_scores_gemma":[0.9795617,0.00002669722,0.01912839,0.000342446,0.000006797209,0.00002366422,0.000003640801,8.946201e-7,0.0009057863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2650094,"threshold_uncertainty_score":0.3355407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983813906","doi":"10.1016/j.isprsjprs.2007.04.004","title":"Lithologic and mineral information extraction for gold exploration using ASTER data in the south Chocolate Mountains (California)","year":2007,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":317,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Geology; Advanced Spaceborne Thermal Emission and Reflection Radiometer; VNIR; Alunite; Lithology; Gneiss; Epidote; Volcanic rock; Geologic map; Mineralogy; Geochemistry; Remote sensing; Volcano; Geomorphology; Metamorphic rock; Hyperspectral imaging; Digital elevation model; Quartz","retraction":null,"screen_n_in":null,"score":{"opus":0.05573915456146643,"gpt":0.3032615336121475,"spread":0.247522379050681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002748694,0.0001006225,0.0001385715,0.0001687722,0.0001289312,0.0002421788,0.0002024064,0.00008933041,2.467824e-7],"category_scores_gemma":[0.0002809919,0.00006963487,0.00003151369,0.0002687642,0.00004311151,0.001305801,0.00008482127,0.0002364268,1.941142e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955421,"about_ca_system_score_gemma":0.00002051021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005980206,"about_ca_topic_score_gemma":0.00003278847,"domain_scores_codex":[0.9990239,0.00006675519,0.0004170437,0.0001323526,0.0001589751,0.000201039],"domain_scores_gemma":[0.9990591,0.0001690023,0.0003813089,0.0002023878,0.0001400341,0.00004821358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002270161,0.00003058558,0.0008395471,0.0001290041,0.00002653351,0.00008069055,0.006612204,0.0008765412,0.02787322,0.00006150369,0.00004264734,0.9632005],"study_design_scores_gemma":[0.0009955741,0.0001794526,0.002253297,0.0001601862,0.00003404441,0.00257716,0.005132479,0.9747524,0.002749636,0.003324696,0.007642111,0.0001990197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3309198,0.00005194009,0.6682761,0.000440766,0.0001103079,0.0001228309,0.000001658856,0.000005632081,0.00007094383],"genre_scores_gemma":[0.8875384,0.00001884918,0.1120445,0.0002704537,0.0001155565,3.021369e-8,0.000005775044,0.000001482963,0.000004900051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9738758,"threshold_uncertainty_score":0.2839627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049693423","doi":"10.1021/ac053302y","title":"Petroleomics: MS Returns to Its Roots.","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":306,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Division of Chemistry; National High Magnetic Field Laboratory; Ohio State University; High Magnetic Field Laboratory, Chinese Academy of Sciences; Florida State University; National Science Foundation","keywords":"Citation; Altmetrics; Social media; Icon; Computer science; World Wide Web; Library science; Information retrieval","retraction":null,"screen_n_in":null,"score":{"opus":0.01345007870948052,"gpt":0.2410560052586007,"spread":0.2276059265491202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001847663,0.0001670767,0.0001892607,0.00001919308,0.00007349538,0.00009753983,0.0009626091,0.000134682,0.0006245715],"category_scores_gemma":[0.0003719702,0.0001595978,0.0001033311,0.0003084725,0.00003104644,0.0001420657,0.0003585607,0.0002502024,0.000522325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005756072,"about_ca_system_score_gemma":0.00004972345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002283442,"about_ca_topic_score_gemma":0.000001773266,"domain_scores_codex":[0.9985691,0.000009343705,0.0002411024,0.0005065728,0.0002396338,0.0004341984],"domain_scores_gemma":[0.9988126,0.00005744387,0.00004343683,0.0006302841,0.0001149881,0.0003412389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000899368,0.001057201,0.005436667,0.0006350292,0.0003659546,0.0004819149,0.001167271,0.01361177,0.6549895,0.05380232,0.2403035,0.02805889],"study_design_scores_gemma":[0.0003220215,0.00002541762,0.0006921343,0.00003468544,0.00001888912,0.00008632655,0.00003430515,0.1802092,0.3859196,0.001569792,0.4305546,0.0005329317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1584044,0.000145647,0.02245085,0.06789475,0.00009694965,0.0001090203,0.000005811554,0.0004315242,0.750461],"genre_scores_gemma":[0.9628248,0.000003918471,0.004295087,0.001246781,0.0003913761,0.000006943229,0.000004373809,0.000003175883,0.03122355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8044204,"threshold_uncertainty_score":0.683862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132535847","doi":"10.1144/sp297.17","title":"Neoproterozoic-early Palaeozoic tectonostratigraphy and palaeogeography of the peri-Gondwanan terranes: Amazonian v. West African connections","year":2008,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":300,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Amazonian; Geology; Paleozoic; Terrane; Palaeogeography; Paleontology; Peri; Tectonics; Amazon rainforest; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01582525830914053,"gpt":0.2007681716197208,"spread":0.1849429133105802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003230955,0.0002566707,0.0003144309,0.00007227137,0.00128822,0.0001338942,0.002002985,0.0002470774,0.0002625591],"category_scores_gemma":[0.0002906846,0.0001853721,0.0003595561,0.002085019,0.001521813,0.0004074457,0.0008215021,0.0004495285,0.000008298671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731618,"about_ca_system_score_gemma":0.0001304779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002686945,"about_ca_topic_score_gemma":0.0001306203,"domain_scores_codex":[0.9977582,0.0001291615,0.0004788061,0.000781997,0.0003690038,0.0004828408],"domain_scores_gemma":[0.9975302,0.0002064884,0.0002885298,0.00144993,0.0003277974,0.0001970905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001044578,0.0005430433,0.9019874,0.000041988,0.0001812335,0.000004085137,0.005055282,0.00004836139,0.001716471,0.07230211,0.01324163,0.004867958],"study_design_scores_gemma":[0.0003065429,0.00009408038,0.8936928,0.000008967649,0.00001819943,0.00007241526,0.0003091535,0.0006075196,0.00020548,0.005512217,0.0989261,0.000246512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8373883,0.0004796813,0.01679328,0.09549128,0.0005097204,0.001301727,0.00009563369,0.0005618125,0.04737855],"genre_scores_gemma":[0.9938725,0.0001424638,0.004556653,0.0004203203,0.0003736959,0.0001000878,0.00002001749,0.0000041008,0.0005101484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1564842,"threshold_uncertainty_score":0.9908077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049443361","doi":"10.1007/s10661-010-1675-1","title":"Application of geoaccumulation index and enrichment factor for assessing metal contamination in the sediments of Kafrain Dam, Jordan","year":2010,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":286,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Enrichment factor; Contamination; Sediment; Environmental chemistry; Orthoclase; Pollution; Environmental science; Effluent; Illite; Sewage; Atomic absorption spectroscopy; Hydrology (agriculture); Mining engineering; Geology; Mineralogy; Quartz; Heavy metals; Environmental engineering; Chemistry; Clay minerals; Feldspar","retraction":null,"screen_n_in":null,"score":{"opus":0.01472320020536083,"gpt":0.2881735482088295,"spread":0.2734503480034686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003398617,0.00007586137,0.00009636844,0.00003319597,0.00006513699,0.00002889338,0.0001210106,0.0000414882,0.000001457269],"category_scores_gemma":[0.000009659015,0.00006191755,0.00001708989,0.0000435304,0.00004008958,0.0001900238,0.0000732223,0.00009919279,4.827518e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002244831,"about_ca_system_score_gemma":0.000007212522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001689289,"about_ca_topic_score_gemma":5.696075e-7,"domain_scores_codex":[0.9993486,0.00003160547,0.0001834898,0.0001771399,0.0001697107,0.00008949364],"domain_scores_gemma":[0.9995674,0.0001146754,0.0001484748,0.0001426651,0.000006987816,0.00001976269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002812045,0.0001419358,0.5540754,0.0000399356,0.00001089918,2.637641e-7,0.0007993186,0.000118537,0.3466321,0.001144566,3.631119e-7,0.09703393],"study_design_scores_gemma":[0.0003656147,0.0000427771,0.9422845,0.00001175924,0.000005980981,0.000001580725,0.0004925363,0.02027105,0.03566554,0.0006017612,0.0001952344,0.00006173258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456658,0.00002545215,0.0537226,0.0001465874,0.0000898009,0.0002422681,0.000003481835,0.00000436274,0.00009965241],"genre_scores_gemma":[0.9917748,0.000007360319,0.00811661,0.00000415374,0.00003038498,0.0000479796,0.000006799802,0.000001444848,0.00001044718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.388209,"threshold_uncertainty_score":0.2524924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041328493","doi":"10.1111/j.1751-908x.2000.tb00586.x","title":"Determination of Trace Elements in Twenty Six Chinese Geochemistry Reference Materials by Inductively Coupled Plasma‐Mass Spectrometry","year":2000,"lang":"en","type":"article","venue":"Geostandards and Geoanalytical Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":279,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Inductively coupled plasma mass spectrometry; Certified reference materials; Chemistry; Mass spectrometry; Analytical Chemistry (journal); Dissolution; Calibration; Matrix (chemical analysis); Inductively coupled plasma; TRACE (psycholinguistics); Standard solution; Chromatography; Detection limit; Plasma; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02780920644482103,"gpt":0.3358627277136515,"spread":0.3080535212688305,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002957919,0.0001952908,0.0003829891,0.0001682591,0.0001413168,0.0001482442,0.0006237841,0.0001897743,0.001631301],"category_scores_gemma":[0.001003587,0.0001670436,0.00003910031,0.0009519786,0.0002712149,0.000241632,0.0002156004,0.0004773392,0.0000102573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001033655,"about_ca_system_score_gemma":0.0001537616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001425115,"about_ca_topic_score_gemma":0.00001324582,"domain_scores_codex":[0.9969297,0.0001817349,0.0005262144,0.0006376037,0.001035635,0.0006891274],"domain_scores_gemma":[0.9985493,0.0003575991,0.00008530241,0.0004337062,0.0003826718,0.0001914607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001190266,0.001069095,0.02867355,0.0009035697,0.0001333209,0.0002760531,0.0008203287,0.0000494144,0.833863,0.01227316,0.001399428,0.1193489],"study_design_scores_gemma":[0.007077914,0.001495909,0.06249946,0.0005252362,0.00004318031,0.0001132012,0.000613378,0.2017394,0.5954504,0.1033188,0.02543671,0.00168643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762198,0.0001449548,0.002704805,0.001269337,0.00002462346,0.0002150647,0.0001214522,0.00002325585,0.01927667],"genre_scores_gemma":[0.9938793,0.000138983,0.003554784,0.00001308268,0.00002847495,0.00001654765,0.00002665484,0.000003388302,0.002338805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2384125,"threshold_uncertainty_score":0.9992813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015779193","doi":"10.1016/j.quaint.2011.08.022","title":"The INTAV intercomparison of electron-beam microanalysis of glass by tephrochronology laboratories: Results and recommendations","year":2011,"lang":"en","type":"article","venue":"Quaternary International","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":278,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Tephrochronology; Tephra; Rhyolite; Volcano; Geology; Earth science; Geochemistry; Volcanic rock","retraction":null,"screen_n_in":null,"score":{"opus":0.01354071190309287,"gpt":0.2474768536332358,"spread":0.2339361417301429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002884679,0.0000940723,0.0001439582,0.00005959934,0.00006584076,0.00002506626,0.0008746152,0.00005160279,0.00003253958],"category_scores_gemma":[0.0001318518,0.00007334679,0.00004129819,0.0001615856,0.000149777,0.0001712127,0.0002573417,0.0001120476,0.000003871596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002764768,"about_ca_system_score_gemma":0.00003736582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002767773,"about_ca_topic_score_gemma":0.0000417304,"domain_scores_codex":[0.9990126,0.00005506556,0.0004404984,0.0002260044,0.0001281679,0.0001375984],"domain_scores_gemma":[0.9989164,0.0001578158,0.0003324779,0.0002897193,0.0002735041,0.00003002418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001607046,0.002000494,0.1829288,0.0001629143,0.003966172,0.00002912662,0.03151205,0.0001869485,0.3357196,0.2077655,0.1678815,0.06623983],"study_design_scores_gemma":[0.001035297,0.0004168931,0.005473525,0.00006890449,0.00003407925,0.00004202308,0.0008762011,0.017287,0.8325469,0.01066496,0.1312608,0.0002934333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937646,0.0005838629,0.06053529,0.02225498,0.001098469,0.0001783291,0.0001344857,0.00007943668,0.02137052],"genre_scores_gemma":[0.9962319,0.0001385802,0.002754531,0.00004991093,0.00002446208,0.000007792978,0.00003238635,0.000001738912,0.0007586694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4968273,"threshold_uncertainty_score":0.2990995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966750556","doi":"10.1007/s00126-011-0345-8","title":"Submarine hydrothermal activity and gold-rich mineralization at Brothers Volcano, Kermadec Arc, New Zealand","year":2011,"lang":"en","type":"article","venue":"Mineralium Deposita","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":273,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Geology; Geochemistry; Submarine volcano; Submarine; Mineralization (soil science); Volcano; Hydrothermal circulation; Mineral resource classification; Oceanography; Seismology","retraction":null,"screen_n_in":null,"score":{"opus":0.01726016132886103,"gpt":0.2014638788323666,"spread":0.1842037175035056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001040149,0.0002505715,0.0002278227,0.00006665001,0.0001103468,0.00008365238,0.0004773629,0.0001278266,0.0001153671],"category_scores_gemma":[0.0000290159,0.0002291855,0.00005214513,0.000261279,0.00006258304,0.0003634356,0.0003877163,0.00011856,0.00002396746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004377458,"about_ca_system_score_gemma":0.0000345246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903378,"about_ca_topic_score_gemma":0.004075356,"domain_scores_codex":[0.9985857,0.00006864274,0.000211211,0.0005321986,0.0001939668,0.0004082676],"domain_scores_gemma":[0.999066,0.00003156275,0.0001180207,0.0005130695,0.00005346498,0.0002178766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001075896,0.0001611977,0.5334835,0.00007512666,0.00008638752,0.0001084669,0.003002816,0.000112873,0.4244326,0.002060112,0.02999394,0.006375354],"study_design_scores_gemma":[0.001942494,0.0002409336,0.8698243,0.00005061828,0.00005523068,0.0005081526,0.00001224035,0.01618328,0.09994533,0.00170544,0.008536711,0.0009951979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659926,0.0001250559,0.006452492,0.002272323,0.000162073,0.0001901087,0.0000021276,0.0001583795,0.0246449],"genre_scores_gemma":[0.9045861,0.00001630706,0.004304586,0.0003277576,0.0001164561,0.00001403975,0.000009997025,0.000009444058,0.09061532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3363408,"threshold_uncertainty_score":0.9874986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2232172708","doi":"10.5382/av100","title":"One Hundredth Anniversary Volume","year":2005,"lang":"en","type":"book","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":247,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Hundredth; Publishing; Value (mathematics); Political science; Management; Library science; History; Law; Economics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01570244590932269,"gpt":0.1932979513374818,"spread":0.1775955054281591,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001154266,0.0002030091,0.0002529136,0.00006212597,0.00007956302,0.00007930731,0.001301724,0.00032564,0.001708751],"category_scores_gemma":[0.00001683322,0.0002277594,0.0001134704,0.00007123456,0.00005618927,0.000192043,0.0005626425,0.0003325038,0.001574659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008898375,"about_ca_system_score_gemma":0.0002820868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005823862,"about_ca_topic_score_gemma":0.000003138302,"domain_scores_codex":[0.9987219,0.00001315003,0.000184772,0.0005383041,0.0002495412,0.0002923586],"domain_scores_gemma":[0.9988701,0.00002922595,0.0001109183,0.0007901349,0.00009933831,0.0001003234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001184614,0.00003257061,0.000006414687,0.000052266,0.00004274456,0.00004416502,0.00008707226,0.00005665568,0.00001946714,0.07598457,0.8825549,0.04111797],"study_design_scores_gemma":[0.00008221759,0.00002220955,0.00004549199,0.00004163054,0.000008036714,0.00001446794,0.000002617767,0.002265943,0.00005765654,0.0185664,0.9786014,0.0002919507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[5.84109e-7,0.0001991158,0.04205922,0.004424249,0.0001739384,0.00008405768,0.000002836741,0.0003083951,0.9527476],"genre_scores_gemma":[0.0001320031,0.00003042837,0.01782594,0.0007407446,0.0004508858,0.000002567544,0.00003123427,0.000003688323,0.9807825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09604646,"threshold_uncertainty_score":0.9992038,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074120853","doi":"10.1016/j.cageo.2015.03.013","title":"Predictive lithological mapping of Canada's North using Random Forest classification applied to geophysical and geochemical data","year":2015,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":225,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Lithology; Geology; Geologic map; Random forest; Field (mathematics); Remote sensing; Geomorphology; Geochemistry; Machine learning; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.06963460871077687,"gpt":0.2477315266992174,"spread":0.1780969179884405,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005539879,0.0001603245,0.0002817386,0.00006129508,0.0001647427,0.0000960253,0.001786027,0.00005602791,6.741773e-7],"category_scores_gemma":[0.0002881715,0.0001336736,0.00002015506,0.0006096165,0.0002888821,0.0002602168,0.001610221,0.0001256726,7.294699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005023642,"about_ca_system_score_gemma":0.0005056509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005781026,"about_ca_topic_score_gemma":0.002587274,"domain_scores_codex":[0.9980115,0.00005389519,0.000296025,0.0007830244,0.0004808213,0.0003746966],"domain_scores_gemma":[0.9985058,0.0001973839,0.0001512996,0.0006679696,0.0001638721,0.0003136228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000828973,0.001437071,0.5102785,0.0005680502,0.000294683,0.0002899391,0.02107205,0.1702859,0.0490907,0.0459083,0.04255828,0.1573876],"study_design_scores_gemma":[0.0004165969,0.00006466341,0.1064226,0.00002557267,0.000006587892,0.00002829689,0.0002848547,0.8881948,0.0002925337,0.001969172,0.002086826,0.0002075084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4854919,0.00002557353,0.5121741,0.001174811,0.0002171158,0.0001670391,0.00001088173,0.0000403202,0.0006982544],"genre_scores_gemma":[0.9481218,0.000001304897,0.05154876,0.0001977184,0.00008709125,0.000006364232,0.00001732206,0.000001477249,0.00001820392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7179089,"threshold_uncertainty_score":0.873922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999577832","doi":"10.1346/ccmn.2006.0540609","title":"Some Successful Approaches to Quantitative Mineral Analysis as Revealed by the 3<sup>rd</sup> Reynolds Cup Contest","year":2006,"lang":"en","type":"article","venue":"Clays and Clay Minerals","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":219,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Devon Energy (Canada); Natural Resources Canada","funders":"Natural Resources Canada","keywords":"CONTEST; Biogeosciences; Mineral; Reynolds number; Geology; Mineralogy; Geochemistry; Chemistry; Physics; Thermodynamics; Earth science; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.04072485455689753,"gpt":0.2480935855025412,"spread":0.2073687309456437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005460767,0.0003049696,0.0004707983,0.0001130352,0.0003241305,0.0003179383,0.000816595,0.0001373714,0.00004611573],"category_scores_gemma":[0.0001463029,0.0002098709,0.0001761352,0.0009882587,0.0001649752,0.0003247435,0.00026959,0.0001934834,0.00003034154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002254436,"about_ca_system_score_gemma":0.00003380309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008186296,"about_ca_topic_score_gemma":0.000073885,"domain_scores_codex":[0.9979199,0.0001526135,0.0004360585,0.0007344721,0.0002647355,0.0004922415],"domain_scores_gemma":[0.9986078,0.0002939816,0.0001627153,0.0006648013,0.0001172414,0.000153423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001041976,0.0005221326,0.04791036,0.0001357197,0.0008736657,0.0001008208,0.00477062,0.04021795,0.07107073,0.3300107,0.5021631,0.002119971],"study_design_scores_gemma":[0.003474688,0.001441123,0.02728368,0.0001691232,0.0008623017,0.0002071606,0.003406822,0.5198913,0.0166562,0.08314048,0.3400219,0.003445243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255998,0.001827073,0.008359899,0.03587309,0.00006636987,0.0004008878,0.00003461195,0.0001155305,0.02772271],"genre_scores_gemma":[0.9625406,0.00002095175,0.002810878,0.001213216,0.0002100289,0.00007366638,0.00005853562,0.000005809978,0.03306636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4796734,"threshold_uncertainty_score":0.8558285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1236109317","doi":"10.1007/0-387-35429-8","title":"Statistical Analysis of Environmental Space-Time Processes","year":2006,"lang":"en","type":"book","venue":"Springer series in statistics","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":209,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Environmental science","retraction":null,"screen_n_in":null,"score":{"opus":0.006845272467279251,"gpt":0.2107356008510902,"spread":0.2038903283838109,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001754872,0.000327707,0.0007419985,0.0002862896,0.00004832351,0.00005495442,0.0007140244,0.0002264908,0.0004992704],"category_scores_gemma":[0.000219444,0.000352797,0.00006568409,0.000407444,0.0003513309,0.0001215397,0.0004492595,0.0002940345,0.00003209187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309794,"about_ca_system_score_gemma":0.000295215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001823243,"about_ca_topic_score_gemma":0.0000640298,"domain_scores_codex":[0.998017,0.00003788914,0.0005946822,0.0005703607,0.0004352676,0.0003448663],"domain_scores_gemma":[0.9984623,0.0003957364,0.00036804,0.0006307552,0.00007641427,0.00006680717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009064241,0.0006835119,0.01223056,0.004104999,0.002409432,0.001456283,0.001780464,0.00903791,0.0004814541,0.8038129,0.1536535,0.01025829],"study_design_scores_gemma":[0.000624869,0.0003582007,0.04032285,0.0003560257,0.001690649,0.00003126437,0.00005402886,0.01771732,0.0008296971,0.1973374,0.7383399,0.002337772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000116348,0.000362248,0.6151345,0.0001261999,0.0002020279,0.0002770179,0.00566778,0.00009864369,0.3780152],"genre_scores_gemma":[0.005495427,0.0001073634,0.2393562,0.00002593466,0.00006948721,0.00001745033,0.001286193,0.00001649891,0.7536255],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6064755,"threshold_uncertainty_score":0.9998924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151588833","doi":"10.1093/petrology/egm030","title":"Platinum-Group Elements in Sulphide Minerals, Platinum-Group Minerals, and Whole-Rocks of the Merensky Reef (Bushveld Complex, South Africa): Implications for the Formation of the Reef","year":2007,"lang":"en","type":"article","venue":"Journal of Petrology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":208,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Platinum group; Chromitite; Pentlandite; Geology; Pyrrhotite; Geochemistry; Platinum; Bornite; Chalcopyrite; Reef; Pyrite; Chemistry; Copper; Metallurgy; Materials science; Paleontology; Catalysis; Ophiolite","retraction":null,"screen_n_in":null,"score":{"opus":0.03385229922088351,"gpt":0.2576916449136067,"spread":0.2238393456927232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00166591,0.0001404129,0.0003150233,0.0001050458,0.000183913,0.00002087245,0.001050469,0.0001090083,0.000007342767],"category_scores_gemma":[0.0004765209,0.00007553781,0.0001514344,0.0003606876,0.0001730246,0.0001694581,0.0002823071,0.0003018516,2.116393e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003162625,"about_ca_system_score_gemma":0.00004071658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002088195,"about_ca_topic_score_gemma":0.0001881408,"domain_scores_codex":[0.9981562,0.0001243412,0.001026426,0.0001617148,0.0002264095,0.0003048538],"domain_scores_gemma":[0.9970456,0.0007220604,0.001477256,0.0004605536,0.000249691,0.00004480444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006487402,0.0006238265,0.2164273,0.0003098425,0.0003302492,0.000007215906,0.01459333,0.004693028,0.6925262,0.032414,0.02569152,0.01173476],"study_design_scores_gemma":[0.004767947,0.0009070721,0.8802902,0.0001739723,0.0001408931,0.000408408,0.001790098,0.02895617,0.00683945,0.02797629,0.04740857,0.0003409945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8227602,0.0004815091,0.1494525,0.02497382,0.0003477499,0.0005278175,0.00004154554,0.00001023013,0.001404617],"genre_scores_gemma":[0.9940024,0.000009863982,0.005369455,0.0002431528,0.00009183669,0.000008635775,0.000003303362,0.00000329243,0.0002680777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6856867,"threshold_uncertainty_score":0.3080343,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2897699302","doi":"10.1080/25726838.2018.1516935","title":"Carbonatites: related ore deposits, resources, footprint, and exploration methods","year":2018,"lang":"en","type":"article","venue":"Applied Earth Science Transactions of the Institutions of Mining and Metallurgy","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Natural Resources Canada; Geological Survey of Canada","funders":"British Geological Survey","keywords":"Carbonatite; Geology; Geochemistry; Igneous rock; Dike; Lava; Silicate; Volcano","retraction":null,"screen_n_in":null,"score":{"opus":0.03117721602043457,"gpt":0.2714947729241505,"spread":0.2403175569037159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009428046,0.00009681423,0.0001505648,0.0001437019,0.000700557,0.00004343071,0.0005151312,0.00005376669,0.000005769587],"category_scores_gemma":[0.0001318875,0.00007335001,0.00003944865,0.001015246,0.002074275,0.000264406,0.0000853804,0.00009202112,5.187717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000662243,"about_ca_system_score_gemma":0.0001679958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006014299,"about_ca_topic_score_gemma":0.0000630315,"domain_scores_codex":[0.9990194,0.00004269338,0.0002730499,0.0002977907,0.0002050653,0.0001620236],"domain_scores_gemma":[0.9990898,0.0001011566,0.0001557211,0.0004251755,0.000162814,0.00006537035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001948037,0.0001288699,0.0002714854,0.00008610094,0.00009324998,7.643891e-7,0.01567298,0.01011151,0.4610509,0.2385162,0.000004704331,0.2740438],"study_design_scores_gemma":[0.0007678334,0.0002279719,0.00946192,0.0001826233,0.000135784,0.0001282122,0.002419514,0.04627739,0.9178833,0.009396886,0.01269486,0.0004237138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3487966,0.0001058453,0.6348068,0.0006157862,0.0001788195,0.0001300426,9.686529e-7,0.00003765398,0.01532748],"genre_scores_gemma":[0.8296968,0.0000226025,0.1700528,0.00001437985,0.000006579193,0.000008212325,1.741505e-7,0.000001053919,0.0001973808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4809002,"threshold_uncertainty_score":0.7642751,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1500321896","doi":"10.5860/choice.43-6542","title":"Introduction to mineral exploration","year":2006,"lang":"en","type":"article","venue":"Choice Reviews Online","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":177,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mineral exploration; Geology; Archaeology; Art history; History; Geochemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.03596827418725025,"gpt":0.2843038807077723,"spread":0.2483356065205221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579817,0.00009926463,0.0001612346,0.00003542935,0.00005391018,0.0000448154,0.0003017847,0.00003298439,0.00003919433],"category_scores_gemma":[0.0003269792,0.00008252998,0.00004800977,0.0003951525,0.000008427082,0.0003297411,0.00008010522,0.00007334107,0.0002042677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002163713,"about_ca_system_score_gemma":0.00001107376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002351961,"about_ca_topic_score_gemma":0.00004796298,"domain_scores_codex":[0.9991268,0.00004386159,0.0002704656,0.0003120683,0.00009083427,0.000156003],"domain_scores_gemma":[0.999328,0.00001839211,0.0000834536,0.0004386846,0.00008463347,0.00004683166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003162367,0.000330769,0.0005944833,0.0002702387,0.000005478735,0.000004827618,0.0001194264,0.002577023,0.06080859,0.009465907,0.6471189,0.2787012],"study_design_scores_gemma":[0.00005974652,0.00001841268,0.0009525983,0.0000316909,0.000002774714,0.000005852122,0.000002228201,0.001834737,0.001041452,0.000864899,0.9950862,0.00009944204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01442845,0.00640839,0.6978772,0.2711597,0.001386972,0.0009307117,0.000005342342,0.0004171328,0.007386151],"genre_scores_gemma":[0.06461384,0.002821289,0.7410836,0.008751647,0.05352964,0.0004080238,0.001072297,0.00002330615,0.1276964],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3479673,"threshold_uncertainty_score":0.3365475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2950096912","doi":"10.1144/geochem2019-031","title":"State-of-the-art analysis of geochemical data for mineral exploration","year":2019,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":176,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"Commonwealth Fund","keywords":"Mineral exploration; Mineral; Geology; State (computer science); Geochemistry; Mineralogy; Computer science; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.0278211327962867,"gpt":0.2326723428756269,"spread":0.2048512100793402,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005084705,0.000215533,0.0005554589,0.000187393,0.00007048518,0.00003805952,0.001520811,0.0001030878,0.0002777095],"category_scores_gemma":[0.0001264543,0.0001904283,0.0004851425,0.00186916,0.00009290292,0.0007714964,0.0006391418,0.0001011745,0.00001340174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004316089,"about_ca_system_score_gemma":0.00003797237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008681426,"about_ca_topic_score_gemma":0.00001027038,"domain_scores_codex":[0.9977059,0.00005515474,0.0006974248,0.0007705097,0.0005191655,0.0002518444],"domain_scores_gemma":[0.9963138,0.000126584,0.0006556094,0.002720442,0.0001169074,0.00006670656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004778042,0.0003695037,0.02863814,0.0001698267,0.00557806,6.950555e-7,0.0006499282,0.4988376,0.46135,0.0003298718,0.002468025,0.001560608],"study_design_scores_gemma":[0.0003237682,0.00002525261,0.001690993,0.00001160369,0.002374573,3.078784e-7,0.0001175155,0.7392389,0.246994,0.00134842,0.007612357,0.0002623297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2258522,0.00005796483,0.7697546,0.00256528,0.00006609646,0.0005109017,0.0002680367,0.00004010882,0.0008847881],"genre_scores_gemma":[0.9851199,0.00003341522,0.00771887,0.00003891504,0.00002577206,0.00008419644,0.003539352,0.000004247672,0.003435359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7620357,"threshold_uncertainty_score":0.776544,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048648115","doi":"10.1023/b:jopl.0000029430.78278.a5","title":"Diatom taxonomic and morphological changes as indicators of metal pollution and recovery in Lac Dufault (Québec, Canada)","year":2004,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":175,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diatom; Fragilaria; Paleolimnology; Sediment; Pollution; Oceanography; Period (music); Biology; Phytoplankton; Ecology; Environmental science; Geology; Nutrient; Paleontology","retraction":null,"screen_n_in":null,"score":{"opus":0.008438125843051668,"gpt":0.2011085725372576,"spread":0.1926704466942059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002914256,0.00008757179,0.0002733155,0.0001730712,0.00003090172,0.000008049577,0.0002224073,0.0001183236,0.00001070844],"category_scores_gemma":[0.0002331595,0.00007185811,0.00002631004,0.0001402601,0.0001299217,0.00009169565,0.0001145261,0.0002154701,3.744755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006587515,"about_ca_system_score_gemma":0.0004112359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02109298,"about_ca_topic_score_gemma":0.1282942,"domain_scores_codex":[0.9992379,0.00006108137,0.0002770475,0.0001457617,0.0001030642,0.0001751742],"domain_scores_gemma":[0.9993722,0.00007344735,0.000338956,0.0001013469,0.0000384745,0.00007560093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005868351,0.0006831532,0.7842821,0.0003043929,0.0005569864,0.005875163,0.002654206,0.004579728,0.0891678,0.03801706,0.001451296,0.07184127],"study_design_scores_gemma":[0.002752435,0.00131702,0.9389444,0.00009390768,0.00003999206,0.005755288,0.0004479952,0.0001719215,0.02313287,0.01765829,0.009334754,0.0003511194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771363,0.001192751,0.0005844166,0.02054726,0.0001279252,0.00003767035,0.000001370998,0.000004030393,0.0003683288],"genre_scores_gemma":[0.997917,0.0003366391,0.00132835,0.000355255,0.00003444885,0.000001297205,2.192595e-7,9.844379e-7,0.00002581575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546623,"threshold_uncertainty_score":0.9854257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010094459","doi":"10.1007/s00410-006-0100-9","title":"Platinum-group element, Gold, Silver and Base Metal distribution in compositionally zoned sulfide droplets from the Medvezky Creek Mine, Noril’sk, Russia","year":2006,"lang":"en","type":"article","venue":"Contributions to Mineralogy and Petrology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":173,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Pentlandite; Chalcopyrite; Pyrrhotite; Platinum group; Sulfide; Geology; Sulfide minerals; Geochemistry; Mineral; Fractionation; Mineralogy; Pyrite; Chemistry; Platinum; Copper; Catalysis","retraction":null,"screen_n_in":null,"score":{"opus":0.005509175020230739,"gpt":0.2145373910532971,"spread":0.2090282160330664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005024537,0.0002081063,0.0003272603,0.00005949909,0.000319056,0.00007830413,0.0003244395,0.0001828036,0.00006659119],"category_scores_gemma":[0.0002222837,0.0001805019,0.00005541967,0.000284664,0.0002248254,0.0001585899,0.000256122,0.0002639106,0.00001106105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005017759,"about_ca_system_score_gemma":0.00004294124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785189,"about_ca_topic_score_gemma":0.01150032,"domain_scores_codex":[0.9981495,0.0002894345,0.0004051275,0.0005567346,0.000120357,0.0004788031],"domain_scores_gemma":[0.9985195,0.0007886098,0.0001097517,0.0003343784,0.0001376258,0.0001101316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002928906,0.000517016,0.2559702,0.00001846261,0.0002020747,0.0002844617,0.0002681567,0.00167522,0.117817,0.5868849,0.03445534,0.001614246],"study_design_scores_gemma":[0.003276994,0.0002903772,0.8692129,0.00001835483,0.00007683551,0.0002220818,0.00003102316,0.01684489,0.0004608268,0.03535599,0.07378104,0.0004286836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8681715,0.0007507066,0.08690217,0.04206993,0.0002115491,0.0002965127,0.0008753067,0.00005814676,0.0006641712],"genre_scores_gemma":[0.9945956,0.0000138745,0.001610947,0.001193841,0.0001825705,0.00007869349,0.001868493,0.000002751332,0.0004531938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6132427,"threshold_uncertainty_score":0.7360654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000641785","doi":"10.1016/j.jcis.2006.11.022","title":"Modelling the adsorption of Cd(II), Cu(II), Ni(II), Pb(II), and Zn(II) onto Fithian illite","year":2006,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":171,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Illite; Adsorption; Chemistry; Copper; Zinc; Nuclear chemistry; Mineralogy; Materials science; Metallurgy; Clay minerals; Physical chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.0122146452965315,"gpt":0.2264316808966169,"spread":0.2142170356000854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001963823,0.0002228492,0.0003420311,0.0001783541,0.001643771,0.0002219722,0.001308449,0.00009376508,0.00001968672],"category_scores_gemma":[0.000141229,0.0001522831,0.00009512445,0.000723002,0.0006908982,0.001277311,0.001242567,0.0003803212,7.985125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006056042,"about_ca_system_score_gemma":0.0002267806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001345719,"about_ca_topic_score_gemma":0.00002174404,"domain_scores_codex":[0.997715,0.00005377897,0.0006893047,0.0004180366,0.0006894267,0.0004344779],"domain_scores_gemma":[0.9981045,0.00006969075,0.0006683436,0.0003849816,0.0006091924,0.0001633276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006161968,0.0002146068,0.0006121708,0.00004585827,0.00002216832,0.000002533702,0.008376218,0.05812413,0.9234118,0.005533159,0.002143454,0.001452303],"study_design_scores_gemma":[0.001302408,0.002864469,0.001690106,0.0007705405,0.00004494039,0.0007788208,0.001360332,0.5095041,0.3979293,0.01979802,0.0632842,0.0006728004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521629,0.001655092,0.03703174,0.004731562,0.0004637793,0.0001299713,0.000002705548,0.00001931963,0.003802987],"genre_scores_gemma":[0.988236,0.0002544458,0.00666179,0.0001316039,0.0001195038,0.000001903839,2.215857e-7,0.000003255238,0.004591319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5254825,"threshold_uncertainty_score":0.999656,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971247890","doi":"10.1016/s0169-1368(02)00087-2","title":"Crustal lineament control on magmatism and mineralization in northwestern Argentina: geological, geophysical, and remote sensing evidence","year":2002,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":170,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Lineament; Terrane; Caldera; Volcano; Geochemistry; Basement; Volcanic belt; Geologic map; Magmatism; Tectonics; Volcanic rock; Batholith; Geomorphology; Seismology","retraction":null,"screen_n_in":null,"score":{"opus":0.04035241333502568,"gpt":0.2546509241293294,"spread":0.2142985107943038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004829112,0.000220951,0.0004783191,0.00005903027,0.000104209,0.0000541165,0.000210795,0.0001306412,0.00003944737],"category_scores_gemma":[0.0004106205,0.0001736427,0.00004644321,0.0002081692,0.0001637602,0.0001748254,0.0002041754,0.00020848,0.00005467054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001441909,"about_ca_system_score_gemma":0.000006218647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211326,"about_ca_topic_score_gemma":0.0001580346,"domain_scores_codex":[0.9982312,0.000290059,0.0004425354,0.0005927686,0.0001024796,0.000340975],"domain_scores_gemma":[0.9990426,0.0002098414,0.0002095886,0.0003966397,0.00005455648,0.0000867403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003320464,0.0001899517,0.04812958,0.00062401,0.00003249853,0.0004177598,0.001491763,0.0004080525,0.002290099,0.005280859,0.002546374,0.9385558],"study_design_scores_gemma":[0.001897699,0.00065423,0.1221162,0.001539061,0.00005256898,0.0007217343,0.00003093129,0.7476494,0.0001118495,0.007052035,0.1172286,0.0009456329],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8431985,0.02631906,0.1062676,0.02088377,0.0002754086,0.001238794,0.000001466854,0.0001312469,0.001684158],"genre_scores_gemma":[0.9677823,0.01249128,0.01540171,0.002897867,0.00009895028,0.000008752845,0.000004653149,0.000004378528,0.00131008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9376102,"threshold_uncertainty_score":0.7080943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2022970735","doi":"10.1016/j.cageo.2008.12.005","title":"Robust factor analysis for compositional data","year":2009,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":165,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Compositional data; Biplot; Computer science; Raw data; Transformation (genetics); Covariance; Factor (programming language); Data mining; Covariance matrix; Principal component analysis; Data transformation; Dimension (graph theory); Dimensionality reduction; Algorithm; Artificial intelligence; Mathematics; Statistics; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.0864450217676071,"gpt":0.2762325451152575,"spread":0.1897875233476504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003605667,0.0001445313,0.0002164358,0.000150324,0.0003812769,0.0003522368,0.003667335,0.00004705012,0.00001908834],"category_scores_gemma":[0.00005706077,0.0001247122,0.000108122,0.001146315,0.0001107455,0.000692263,0.0004593075,0.00007189759,0.000006677855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001521596,"about_ca_system_score_gemma":0.00006912315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001185976,"about_ca_topic_score_gemma":0.000004790571,"domain_scores_codex":[0.9982522,0.00003022502,0.0002207567,0.0008131846,0.0003129728,0.0003707062],"domain_scores_gemma":[0.9985166,0.0001895322,0.0001122791,0.0009382208,0.0001227852,0.0001206324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005055331,0.001349075,0.03225305,0.00009988253,0.0008700891,0.00008548552,0.002640795,0.2752003,0.008170461,0.1975753,0.07240385,0.4093011],"study_design_scores_gemma":[0.0001456776,0.00009145393,0.04513637,0.000007551548,0.00002625845,0.000009601733,0.00001458279,0.9326558,0.0002434271,0.005629965,0.01582286,0.0002164581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005454677,0.00006667651,0.9840258,0.008725743,0.0003852457,0.0001176901,0.00004169529,0.0001393498,0.001043059],"genre_scores_gemma":[0.745946,0.00000334576,0.2525874,0.001015259,0.0001082879,0.000003267034,0.0001025768,6.98546e-7,0.0002331334],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7404913,"threshold_uncertainty_score":0.6814882,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1985847809","doi":"10.1007/s00126-010-0295-6","title":"The distribution of platinum group elements (PGE) and other chalcophile elements among sulfides from the Creighton Ni–Cu–PGE sulfide deposit, Sudbury, Canada, and the origin of palladium in pentlandite","year":2010,"lang":"en","type":"article","venue":"Mineralium Deposita","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":157,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Pentlandite; Pyrrhotite; Sulfide; Chalcopyrite; Geology; Platinum group; Pyrite; Sulfide minerals; Geochemistry; Chemistry; Platinum; Copper; Catalysis","retraction":null,"screen_n_in":null,"score":{"opus":0.007467618711221378,"gpt":0.2000270011961022,"spread":0.1925593824848808,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000726471,0.0001980747,0.0002438346,0.0000180175,0.0002595309,0.0001127108,0.0007401133,0.00007740007,0.000008874984],"category_scores_gemma":[0.0001094655,0.0001059881,0.00004082361,0.0001826545,0.000285627,0.0001178634,0.0003394711,0.0002371887,2.662662e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002801875,"about_ca_system_score_gemma":0.00004699371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.879124,"about_ca_topic_score_gemma":0.9281931,"domain_scores_codex":[0.9983121,0.0001565221,0.0005408766,0.000330364,0.0003277986,0.0003323905],"domain_scores_gemma":[0.998495,0.0004722407,0.0003292229,0.0005705581,0.00006831783,0.00006465212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004791149,0.000025597,0.9826125,0.00001835198,0.00004905,0.000006820001,0.0003438304,0.000007170666,0.01229746,0.003124107,0.001184233,0.0002829655],"study_design_scores_gemma":[0.001265134,0.00003253936,0.9877425,0.00005113596,0.00002829864,0.0000121771,0.0000834201,0.005346371,0.003110156,0.001459162,0.0007182612,0.0001508501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962086,0.0003930878,0.0004659907,0.001907144,0.0002260498,0.0003268641,0.00006774536,0.000009651963,0.0003948737],"genre_scores_gemma":[0.9992326,0.00003307974,0.000261895,0.0001199222,0.00007098207,0.00002902178,0.00005054944,0.0000046521,0.0001972732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04906914,"threshold_uncertainty_score":0.432207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2082920669","doi":"10.1016/j.gexplo.2014.03.022","title":"Compositional data analysis in geochemistry: Are we sure to see what really occurs during natural processes?","year":2014,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":156,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Compositional data; Spurious relationship; Computer science; Constraint (computer-aided design); Field (mathematics); Data mining; Data science; Geology; Information retrieval; Earth science; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02895740859176419,"gpt":0.2664139633340933,"spread":0.2374565547423292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007361704,0.0001875173,0.0003961543,0.0002244849,0.00008398053,0.0003160961,0.00138848,0.0001235371,0.00002085862],"category_scores_gemma":[0.001010355,0.0001724967,0.00009431632,0.001412414,0.00003298548,0.002814793,0.0004164084,0.0004234233,0.000005827768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008830394,"about_ca_system_score_gemma":0.0001051705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004372787,"about_ca_topic_score_gemma":0.00002902117,"domain_scores_codex":[0.997968,0.00007574692,0.000638071,0.0004556694,0.0005798294,0.0002827219],"domain_scores_gemma":[0.9977443,0.0001679828,0.0005574677,0.0006422068,0.00071118,0.0001769022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000680433,0.001013392,0.01797952,0.001215079,0.0007424324,0.0003226331,0.004394883,0.0596466,0.8959983,0.0005152773,0.01099571,0.006495778],"study_design_scores_gemma":[0.003509918,0.0002664724,0.01996628,0.002542065,0.000417316,0.0006489645,0.002266941,0.2272322,0.7044729,0.0242557,0.01267582,0.001745395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014967,0.0005817623,0.1410429,0.05596543,0.0003360533,0.0001597197,0.00001620939,0.00006389534,0.0003372477],"genre_scores_gemma":[0.9903923,0.0001217868,0.008783418,0.0002064589,0.0002848791,0.000004710269,0.0001506884,0.000003139167,0.00005261816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915254,"threshold_uncertainty_score":0.703421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982982210","doi":"10.1016/j.rse.2014.04.030","title":"Time-series analysis of Landsat-MSS/TM/OLI images over Amazonian waters impacted by gold mining activities","year":2014,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":156,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Siltation; Environmental science; Sediment; Atmospheric correction; Hydrology (agriculture); Surface water; Remote sensing; Drainage basin; Water quality; Satellite; Geology; Geography; Geomorphology","retraction":null,"screen_n_in":null,"score":{"opus":0.00467514880816964,"gpt":0.1843207221496278,"spread":0.1796455733414581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002754632,0.0001761288,0.0004040078,0.0001154832,0.00005268394,0.0000287991,0.0002283919,0.00007641896,0.00003432533],"category_scores_gemma":[0.00004994015,0.0001586226,0.0001437053,0.0002013011,0.0001937269,0.0001407684,0.0001819841,0.00007752682,0.00000376146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003873677,"about_ca_system_score_gemma":0.000009026799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001034008,"about_ca_topic_score_gemma":0.000002163536,"domain_scores_codex":[0.9987735,0.00008513605,0.0002856572,0.0003206159,0.0002631311,0.0002719238],"domain_scores_gemma":[0.99899,0.0001160674,0.0002575573,0.0005530505,0.00001440069,0.00006893015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002874731,0.00005525589,0.002434085,0.00006845954,0.000664998,0.0000103387,0.002069641,0.01379599,0.9362969,0.0000153285,0.001108319,0.04345188],"study_design_scores_gemma":[0.0004944741,0.0002072511,0.03824373,0.0001194841,0.0003969545,0.00001760363,0.0003419248,0.3824411,0.5669528,0.0002205958,0.01001091,0.0005531038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656013,0.00003271259,0.03085198,0.0007199386,0.00004048056,0.00005510511,0.00001010399,0.00004027916,0.002648109],"genre_scores_gemma":[0.9722237,0.00002516555,0.02562195,0.00004563168,0.0000181864,4.634667e-8,0.00001938721,0.000004704087,0.002041209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3693441,"threshold_uncertainty_score":0.6468441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2740858097","doi":"10.1016/j.scitotenv.2017.06.063","title":"A new method for correlation analysis of compositional (environmental) data – a worked example","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Bundesministerium für Verkehr, Innovation und Technologie","keywords":"Bivariate analysis; Compositional data; Transformation (genetics); Simple (philosophy); Mathematics; TRACE (psycholinguistics); Data set; Set (abstract data type); Bivariate data; Correlation; Statistics; Computer science; Data mining; Geometry; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.03913482859975512,"gpt":0.2731185374494395,"spread":0.2339837088496844,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001344159,0.00007972981,0.0001472145,0.00003564719,0.0006350107,0.00005307128,0.004204157,0.00002280897,0.00005705539],"category_scores_gemma":[0.00008077014,0.00004823722,0.00009892716,0.0001669936,0.0006364129,0.0003094383,0.002383609,0.00005588138,0.000002695424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003696881,"about_ca_system_score_gemma":0.00004217323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704852,"about_ca_topic_score_gemma":0.000001222278,"domain_scores_codex":[0.9987956,0.00004103353,0.0001949233,0.000347467,0.0004599318,0.0001609969],"domain_scores_gemma":[0.9967928,0.0001392126,0.0004098041,0.002605996,0.000007170005,0.00004499791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003305911,0.0001635729,0.0007134558,0.00001081766,0.0002969384,2.970009e-7,0.001166093,0.7089126,0.2559934,0.01342294,0.0003848476,0.01890194],"study_design_scores_gemma":[0.0001760593,0.0000276752,0.1110069,0.000009192092,0.0001763743,0.000003592758,0.00003821407,0.8647028,0.01855938,0.004931124,0.0002900795,0.00007862879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09238274,0.00003909358,0.9005895,0.005258245,0.0001669124,0.0003486626,0.00006084462,0.000007541447,0.00114642],"genre_scores_gemma":[0.9172642,0.000003279736,0.08147431,0.00001318103,0.00001426385,0.000005016968,0.000009928126,0.000001021923,0.001214791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8248815,"threshold_uncertainty_score":0.7812439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2980985329","doi":"10.5382/av100.26","title":"Andean Copper Province&lt;subtitle&gt;Tectonomagmatic Settings, Deposit Types, Metallogeny, Exploration, and Discovery&lt;/subtitle&gt;","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Subtitle; Metallogeny; Geology; Political science; Library science; Geochemistry; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.01325137532733709,"gpt":0.1957309276956052,"spread":0.1824795523682682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003702046,0.0006366434,0.0006288811,0.0001446203,0.0002641293,0.0005587377,0.0009013182,0.0004413405,0.0008463739],"category_scores_gemma":[0.00006983014,0.0005469702,0.0001714463,0.00008481195,0.000169314,0.0009858257,0.0006863197,0.0003823273,0.000483138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104592,"about_ca_system_score_gemma":0.0002252891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001674724,"about_ca_topic_score_gemma":0.0002328128,"domain_scores_codex":[0.997277,0.00003798559,0.000638877,0.001103115,0.0004554841,0.000487514],"domain_scores_gemma":[0.9980897,0.0001066609,0.0003882783,0.001031503,0.0001856062,0.0001982829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002904673,0.0001314857,0.0000849556,0.0009009521,0.0005752171,0.0002147214,0.0006698092,0.0002702731,0.006893482,0.8798741,0.0823632,0.02799277],"study_design_scores_gemma":[0.0004819593,0.0001430128,0.00005857967,0.0002980807,0.0001589171,0.0002039753,0.0000167226,0.005169174,0.004215641,0.03718021,0.9507672,0.001306509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001520882,0.002267495,0.0366082,0.004288721,0.0002896157,0.0006578407,0.0000214367,0.0003704652,0.9553441],"genre_scores_gemma":[0.05317237,0.0004474852,0.01525969,0.0008851626,0.000410272,0.00004066036,0.0001277146,0.0000390827,0.9296176],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.868404,"threshold_uncertainty_score":0.9996982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968782271","doi":"10.1111/j.1751-908x.2010.00090.x","title":"Comparison between Nickel‐Sulfur Fire Assay Te Co‐precipitation and Isotope Dilution with High‐Pressure Asher Acid Digestion for the Determination of Platinum‐Group Elements, Rhenium and Gold","year":2010,"lang":"en","type":"article","venue":"Geostandards and Geoanalytical Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":146,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Rhenium; Platinum group; Isotope dilution; Chemistry; Nickel; Sulfur; Platinum; Isotope; Homogeneous; Analytical Chemistry (journal); Metallurgy; Inorganic chemistry; Chromatography; Mass spectrometry; Materials science; Mathematics; Catalysis","retraction":null,"screen_n_in":null,"score":{"opus":0.03495245616296047,"gpt":0.3502891954542982,"spread":0.3153367392913378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002825918,0.0001445446,0.0002596604,0.00007583204,0.0004007648,0.0002398112,0.0002484297,0.000154608,0.00001523512],"category_scores_gemma":[0.0009165626,0.00009634554,0.00002742937,0.0002434949,0.0004067169,0.0002696881,0.0002081745,0.0004536403,5.614563e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001710029,"about_ca_system_score_gemma":0.00006130024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008999923,"about_ca_topic_score_gemma":0.0001358668,"domain_scores_codex":[0.998075,0.0001448897,0.0003097719,0.0004337527,0.0006658853,0.0003706756],"domain_scores_gemma":[0.9975107,0.001352924,0.0001170714,0.0002975918,0.0005907838,0.0001309852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004283485,0.0001170157,0.1882497,0.0004803499,0.000159515,0.00000356583,0.001007833,0.00003699686,0.008996754,0.05484432,0.001097803,0.7445778],"study_design_scores_gemma":[0.002928494,0.00198377,0.528845,0.0002227041,0.0002192419,0.00002215882,0.0007833242,0.3651553,0.01569091,0.02190311,0.06171427,0.0005317258],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6042445,0.0007571651,0.3817249,0.01038654,0.00009110577,0.001315505,0.0001970579,0.00004733874,0.001235903],"genre_scores_gemma":[0.9930939,0.00005349356,0.006192761,0.00001585304,0.00006691607,0.00004100463,0.00004009487,0.00000377637,0.0004921938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7440461,"threshold_uncertainty_score":0.3928857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015726616","doi":"10.1130/0091-7613(2002)030<0791:atosag>2.0.co;2","title":"Absolute timing of sulfide and gold mineralization: A comparison of Re-Os molybdenite and Ar-Ar mica methods from the Tintina Gold Belt, Alaska","year":2002,"lang":"en","type":"article","venue":"Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Teck (Canada); Yukon University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Geological survey; Geology; Archaeology; Art history; Library science; History; Computer science; Paleontology","retraction":null,"screen_n_in":null,"score":{"opus":0.04676471241322087,"gpt":0.2934853100470845,"spread":0.2467205976338636,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002699129,0.0001348588,0.0003552605,0.00004085497,0.00005842746,0.00001813998,0.0004241763,0.0001256123,0.0000937595],"category_scores_gemma":[0.0002617802,0.0001082431,0.00003963991,0.0002072594,0.0002676351,0.00007640199,0.0004467602,0.0001408192,0.000002497387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004119223,"about_ca_system_score_gemma":0.000008437081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002954292,"about_ca_topic_score_gemma":0.00006556319,"domain_scores_codex":[0.9987372,0.0002157482,0.0003807233,0.0003428705,0.00009512041,0.0002283554],"domain_scores_gemma":[0.9984651,0.0006755632,0.0002733437,0.0004365569,0.00009898978,0.00005042124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001201158,0.0006270491,0.3747427,0.000612007,0.0006060454,0.0000783099,0.045768,0.003180103,0.2502131,0.02789558,0.09628904,0.1998679],"study_design_scores_gemma":[0.002044271,0.0004160396,0.157755,0.0001887514,0.0001552453,0.0002355408,0.0009471968,0.6943027,0.04879582,0.0192422,0.07514341,0.0007738266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795066,0.006056506,0.08873536,0.01370455,0.0002483753,0.0003092271,0.000008219527,0.00007001586,0.01136112],"genre_scores_gemma":[0.9322258,0.0001054377,0.06554925,0.0002788976,0.00004764533,0.00000863188,0.000006574846,0.000002895232,0.00177486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6911225,"threshold_uncertainty_score":0.4414028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045284966","doi":"10.1111/j.1945-5100.2004.tb00918.x","title":"Spectral reflectance‐compositional properties of spinels and chromites: Implications for planetary remote sensing and geothermometry","year":2004,"lang":"en","type":"article","venue":"Meteoritics and Planetary Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":143,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"","keywords":"Wavelength; Absorption (acoustics); Content (measure theory); Absorption band; Chemistry; Analytical Chemistry (journal); Composition (language); Absorption spectroscopy; Spectral line; Mineralogy; Materials science; Optics; Physics; Environmental chemistry; Optoelectronics","retraction":null,"screen_n_in":null,"score":{"opus":0.02601758416763877,"gpt":0.2360340544443322,"spread":0.2100164702766935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003135437,0.0001068693,0.0001478159,0.00008701412,0.000294146,0.00008770539,0.0002011564,0.00003757606,0.000001105232],"category_scores_gemma":[0.00006283881,0.00009330399,0.00001345999,0.0002185931,0.0004883654,0.0002150549,0.00007808315,0.00007173617,2.428469e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008943131,"about_ca_system_score_gemma":0.00007096476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007026075,"about_ca_topic_score_gemma":0.000008327223,"domain_scores_codex":[0.9991137,0.00001094233,0.0001655326,0.0003589373,0.0001170222,0.0002338643],"domain_scores_gemma":[0.9995152,0.00008048723,0.00005533683,0.0001803569,0.00007270493,0.00009594984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001904001,0.00001878933,0.001319323,0.0002843131,0.00001966949,0.000009046593,0.0003910071,0.000772199,0.9646982,0.0157795,0.00001639217,0.01667255],"study_design_scores_gemma":[0.001876243,0.0009753903,0.2178008,0.0006143244,0.00007089895,0.003002407,0.0001465815,0.3014022,0.1867918,0.2847105,0.001509915,0.001098972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298137,0.001790899,0.06378416,0.003671159,0.00008407592,0.0001974337,0.0000469445,0.00003172375,0.0005799349],"genre_scores_gemma":[0.8815146,0.00009789762,0.1181483,0.0001741703,0.00003821381,4.028176e-7,0.00001026005,0.000001244041,0.00001490887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7779064,"threshold_uncertainty_score":0.3804826,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004938785","doi":"10.1016/j.oregeorev.2015.03.002","title":"3D geological modeling for prediction of subsurface Mo targets in the Luanchuan district, China","year":2015,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":142,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"Chinese Academy of Geological Sciences; State Key Laboratory of Continental Tectonics and Dynamics; Chinese Academy of Sciences","keywords":"Geology; Borehole; Geochemistry; Geologic map; Outcrop; Mineral exploration; Scale (ratio); Prospectivity mapping; Skarn; Mining engineering; Geomorphology; Seismology; Hydrothermal circulation; Paleontology; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.07254327704417306,"gpt":0.2752453182490224,"spread":0.2027020412048494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002427187,0.0001636075,0.0004295663,0.00003604914,0.00007109914,0.00001306676,0.0009138418,0.0001594899,0.00001117045],"category_scores_gemma":[0.001013603,0.0001010426,0.0001035523,0.0003279112,0.00009146462,0.0001234565,0.000185617,0.0002127831,0.00001196943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867566,"about_ca_system_score_gemma":0.00004027263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002945129,"about_ca_topic_score_gemma":0.00001132624,"domain_scores_codex":[0.9983014,0.0002966879,0.0005412988,0.00039365,0.0001301506,0.0003367586],"domain_scores_gemma":[0.9990104,0.0001070971,0.0002101955,0.0004981151,0.0001156851,0.00005855188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002832432,0.001778778,0.3284854,0.00206116,0.0001433778,0.0001022359,0.01881228,0.291512,0.001766707,0.139966,0.07020956,0.1448792],"study_design_scores_gemma":[0.0006801116,0.0002700128,0.008190623,0.00005815354,0.00001993757,0.0001007945,0.00007573973,0.8124923,0.00008114647,0.03432838,0.1435006,0.0002023268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06424972,0.01514454,0.9038783,0.007537869,0.000424931,0.001423161,0.00001198018,0.00008349021,0.007246061],"genre_scores_gemma":[0.9783515,0.0006871298,0.02013315,0.0002714995,0.00008793331,0.0001792889,0.00003843112,0.000002344195,0.0002487397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9141018,"threshold_uncertainty_score":0.4120399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141152284","doi":"10.2113/gsecongeo.97.3.471","title":"Constraints on the Origins of Fluids Forming Irish Zn-Pb-Ba Deposits: Evidence from the Composition of Fluid Inclusions","year":2002,"lang":"en","type":"article","venue":"Economic Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":138,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Fluid inclusions; Irish; Geology; Composition (language); Geochemistry; Inclusion (mineral); Mineralogy; Philosophy; Paleontology; Quartz","retraction":null,"screen_n_in":null,"score":{"opus":0.03125542271549998,"gpt":0.2354132230601909,"spread":0.2041578003446909,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003897539,0.0001303017,0.0002357177,0.00003142245,0.000231853,0.0000182779,0.001145171,0.0001008173,0.000702594],"category_scores_gemma":[0.0001580854,0.00008885888,0.00008583599,0.00008206513,0.0004440378,0.0001439972,0.0004812666,0.0001691192,0.0000889733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006913794,"about_ca_system_score_gemma":0.0000456055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003533512,"about_ca_topic_score_gemma":0.00004722627,"domain_scores_codex":[0.9988414,0.0001418841,0.0004090549,0.0003023684,0.00007342431,0.0002318772],"domain_scores_gemma":[0.9974189,0.00156008,0.0002448248,0.0006813861,0.00005670833,0.00003810975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001095055,0.0005340425,0.08316626,0.000110274,0.0005328518,0.00005241014,0.01593454,0.02205376,0.380678,0.4125847,0.04348187,0.04076181],"study_design_scores_gemma":[0.001762875,0.0007428383,0.06401744,0.0006980899,0.0001057095,0.0003657035,0.001074424,0.3755774,0.5037184,0.03532359,0.01566158,0.0009519225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564151,0.000262163,0.01519595,0.01889171,0.0003752696,0.0001965272,0.00001192489,0.00003212599,0.008619242],"genre_scores_gemma":[0.9976066,0.00006267687,0.001566807,0.0006169174,0.00006866951,0.00001220681,0.000003815085,0.000002044736,0.00006030696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3772611,"threshold_uncertainty_score":0.7692912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1988613889","doi":"10.1016/j.oregeorev.2015.01.004","title":"Data- and knowledge-driven mineral prospectivity maps for Canada's North","year":2015,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":138,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Geological Survey of Canada","funders":"Natural Resources Canada","keywords":"Prospectivity mapping; Geology; Classifier (UML); Random forest; Mineral exploration; Peninsula; Data mining; Artificial intelligence; Computer science; Geophysics; Geomorphology; Geography; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.06718580672455524,"gpt":0.28347443718183,"spread":0.2162886304572748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000618026,0.0001496497,0.0003658271,0.0000169191,0.00008828924,0.00002155731,0.0008873141,0.00006369701,0.00000595639],"category_scores_gemma":[0.000684404,0.0001173647,0.0000265472,0.0001456012,0.00007849612,0.000137884,0.0007935776,0.0001130772,0.00001316985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003146737,"about_ca_system_score_gemma":0.0004241928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004756214,"about_ca_topic_score_gemma":0.4095675,"domain_scores_codex":[0.9987523,0.0001031605,0.0002388251,0.0005404279,0.00006340839,0.0003019033],"domain_scores_gemma":[0.9986272,0.00007486273,0.000126198,0.0008786459,0.0001430452,0.0001500883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009194239,0.00006157115,0.1714907,0.0002979497,0.00002628853,0.0000228549,0.0003405494,0.00002325761,0.00002919988,0.004545432,0.7687415,0.05441149],"study_design_scores_gemma":[0.0002359737,0.00004034101,0.005122036,0.00001303971,0.000009404597,0.00006777371,0.00000623502,0.00725274,0.000008716477,0.001433867,0.9856676,0.0001422308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1885162,0.1700874,0.2930144,0.1608247,0.01014622,0.01386413,0.0008488436,0.001024983,0.1616732],"genre_scores_gemma":[0.7598686,0.001933921,0.1822845,0.004124376,0.001897865,0.0008958784,0.001253167,0.00002587218,0.04771583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5713524,"threshold_uncertainty_score":0.7190004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2079753776","doi":"10.2136/sssaj2002.8300","title":"Principal Component Analysis Approach for Modeling Sulfur K‐XANES Spectra of Humic Acids","year":2002,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":138,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Principal component analysis; XANES; Partial least squares regression; Spectral line; Deconvolution; Chemistry; Mathematics; Biological system; Statistics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0315009557389661,"gpt":0.2480851728300256,"spread":0.2165842170910595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300469,0.000150566,0.0004030047,0.0001276268,0.0005134156,0.0001016307,0.001664905,0.00005342626,0.00003672434],"category_scores_gemma":[0.00008752201,0.0001280174,0.0006369887,0.002225227,0.0008738395,0.0004295874,0.00023174,0.0002381833,9.500561e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006438715,"about_ca_system_score_gemma":0.0001323737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003357622,"about_ca_topic_score_gemma":2.856389e-7,"domain_scores_codex":[0.9977774,0.00003251618,0.0005054061,0.0004120062,0.0007621057,0.0005105847],"domain_scores_gemma":[0.9983554,0.00005852873,0.000505508,0.000403003,0.000505666,0.0001718345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007583523,0.000375554,0.002731762,0.0001028719,0.0003163901,0.000001419168,0.009150147,0.8950057,0.0842226,0.0005508781,0.0004695523,0.007065536],"study_design_scores_gemma":[0.000204292,0.00008479285,0.0003855476,0.00001059897,0.00005483508,0.00003592627,0.001518848,0.99002,0.006604334,0.0007205751,0.0002150081,0.0001451826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1249126,0.0001288859,0.8717011,0.001068627,0.00006514828,0.00007594255,0.000002309341,0.00002238956,0.002023009],"genre_scores_gemma":[0.7298644,0.00009465541,0.2698233,0.0000714088,0.0000486835,0.000002673251,8.406812e-7,0.00000155441,0.00009256868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6049518,"threshold_uncertainty_score":0.5220397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}