{"id":"W4402960237","doi":"10.1007/s11053-024-10409-2","title":"Masked Autoregressive Flow for Geochemical Anomaly Detection with Application to Li–Cs–Ta Pegmatites Exploration of the Superior Craton, Canada","year":2024,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Stanford University","keywords":"Craton; Geology; Pegmatite; Geochemistry; Anomaly (physics); Autoregressive model; Flow (mathematics); Mineral exploration; Mining engineering; Earth science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003380547,0.0003844218,0.0002966158,0.0006616088,0.0004092431,0.000443697,0.0004455489,0.0003321426,0.001160923],"category_scores_gemma":[0.001089848,0.0002007104,0.0002510877,0.0006541443,0.0001897567,0.0002986014,0.0003037627,0.0003475747,0.0002184232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000525363,"about_ca_system_score_gemma":0.002226225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1313385,"about_ca_topic_score_gemma":0.1413406,"domain_scores_codex":[0.9998963,0.00001593138,0.000005144313,0.00002312947,0.00003738035,0.0000220753],"domain_scores_gemma":[0.9997084,0.0001138412,0.00002350242,0.00002044899,0.0001121507,0.00002172247],"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":[0.001383333,0.0005067782,0.02728141,0.0001382118,0.00009455027,0.0005487408,0.0003211199,0.3332976,0.08075659,0.003554606,0.006477834,0.5456393],"study_design_scores_gemma":[0.000021795,0.00002760411,0.00675328,0.000001987926,0.000007311147,0.00001824432,0.00002464342,0.9877744,0.00435958,0.0003363898,0.0006655942,0.000009172742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6571136,0.0002999174,0.3337002,0.0003637579,0.0001366249,0.00007994383,0.00131288,0.004397953,0.002595168],"genre_scores_gemma":[0.8787209,0.000103445,0.1180304,0.00003179409,0.00003319071,0.00002711402,0.0007449087,0.00009747984,0.002210804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8686615,"threshold_uncertainty_score":0.261148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971069345561033,"score_gpt":0.2841015894517512,"score_spread":0.2643908959961409,"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."}}