{"id":"W4306149302","doi":"10.3390/geosciences12100382","title":"3D Bayesian Inversion of Potential Fields: The Quebec Oka Carbonatite Complex Case Study","year":2022,"lang":"en","type":"article","venue":"Geosciences","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Space Agency","keywords":"Bottleneck; Exploit; Computer science; Inversion (geology); Inverse problem; A priori and a posteriori; Bayesian probability; Geology; Data mining; Geophysics; Algorithm; Mathematics; Artificial intelligence; Seismology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006404062,0.00008526855,0.0001381253,0.00006377237,0.0008171743,0.00003937187,0.0004454102,0.00001605195,0.001990761],"category_scores_gemma":[0.00004682717,0.00005121244,0.00005790641,0.0008092376,0.0001944041,0.00009251219,0.00007717866,0.0001772917,0.000009105726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003491245,"about_ca_system_score_gemma":0.0000642235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3198152,"about_ca_topic_score_gemma":0.05286441,"domain_scores_codex":[0.9983633,0.000428251,0.00017498,0.0002434284,0.0005448159,0.0002452061],"domain_scores_gemma":[0.9994009,0.0002510831,0.0000832526,0.0001666205,0.00002500492,0.00007317562],"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":[0.00005763962,0.000338713,0.1207956,0.00001145222,0.00002619087,0.0007908397,0.004495258,0.02515086,0.0001101821,0.00009167469,0.0008577402,0.8472739],"study_design_scores_gemma":[0.0003747889,0.00201069,0.5688486,0.000002211365,0.00004500601,0.0002714535,0.01718402,0.4040896,0.00003408645,0.002660277,0.004215051,0.0002642217],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997326,0.00009492767,0.000340411,0.0007935774,0.0003825353,0.0002055999,0.00002690518,0.00001503705,0.0008150181],"genre_scores_gemma":[0.9988135,0.000002141132,0.0004506943,0.0002934507,0.00005270525,0.00000266523,0.000005512521,8.789008e-7,0.0003784875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8470097,"threshold_uncertainty_score":0.9989216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139900806058679,"score_gpt":0.2449697991217669,"score_spread":0.2235707910611801,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}