{"id":"W2805776800","doi":"10.4095/292688","title":"Volcanogenic massive sulphide exploration in glaciated terrain using till geochemistry and indicator minerals","year":2013,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Mineral exploration; Geochemistry; Prospecting; Terrain; Earth science; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003731277,0.0003726094,0.0002048428,0.003219664,0.0009987892,0.001011582,0.0003363039,0.0002146825,0.0007009118],"category_scores_gemma":[0.0002685888,0.0001604029,0.00029262,0.002595401,0.0005456387,0.0003154095,0.00052284,0.0002395735,0.0002041689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003541132,"about_ca_system_score_gemma":0.004243886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6139135,"about_ca_topic_score_gemma":0.9075589,"domain_scores_codex":[0.9997283,0.00001059007,0.00001023845,0.00003847633,0.0001686109,0.00004373136],"domain_scores_gemma":[0.9998589,0.00001616658,0.00002464355,0.000005361961,0.00007780945,0.0000171262],"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":[0.0002632877,0.00007905489,0.2807864,0.002299077,0.0001782406,0.00180912,0.003964758,0.002186052,0.2005628,0.001858219,0.003044776,0.5029682],"study_design_scores_gemma":[0.00001696534,0.0002263299,0.7643806,0.0006546812,0.0002229213,0.002231013,0.004491693,0.002578884,0.1302432,0.0008710198,0.09399717,0.00008543119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833425,0.04040695,0.01861269,0.0006235462,0.00004618019,0.0003082268,0.002511389,0.0004395986,0.05370894],"genre_scores_gemma":[0.8774481,0.05148689,0.05314681,0.0001745533,0.00002121447,0.00004187362,0.001750406,0.00008292376,0.01584707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6139135,"threshold_uncertainty_score":0.7767205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506919287340404,"score_gpt":0.2729073677684442,"score_spread":0.2278381748950401,"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."}}