{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004699631,0.0001109914,0.0001171758,0.00009034037,0.0002706016,0.0001795582,0.0007488944,0.0000824813,0.000006037921],"category_scores_gemma":[0.0006629385,0.00006897021,0.00004377347,0.0008903366,0.00009557881,0.0002400509,0.000247348,0.0003713375,0.000002796673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582409,"about_ca_system_score_gemma":0.0003401031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007850477,"about_ca_topic_score_gemma":0.03556071,"domain_scores_codex":[0.9982614,0.00009274417,0.0001789391,0.0004184622,0.0007268747,0.000321599],"domain_scores_gemma":[0.9983873,0.0004393189,0.00004063792,0.0004274854,0.0006260309,0.00007917723],"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":[0.0002820375,0.00004666516,0.0008325871,0.0008322532,0.00007821939,0.00001597683,0.006959655,0.004916976,0.8443663,0.002323701,0.008385589,0.13096],"study_design_scores_gemma":[0.0001545205,0.0001252076,0.002015932,0.0001626278,0.000005646254,0.00001403779,0.0003974445,0.4988078,0.3946809,0.001194609,0.1022824,0.000158811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9119465,0.001324693,0.06036807,0.0229854,0.0003197492,0.001808668,0.00002780414,0.0001519704,0.001067178],"genre_scores_gemma":[0.9960208,0.000002969498,0.002222774,0.00004693061,0.0001156959,0.000250415,0.000008534807,0.000004153663,0.001327754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4938909,"threshold_uncertainty_score":0.9987563,"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."}}