{"id":"W2616548057","doi":"","title":"Section 3. Mineral Exploration: Discovering and Defining Ore Bodies","year":2017,"lang":"en","type":"article","venue":"Geochemical Perspectives","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Section (typography); Mineral exploration; Mineral; Mining engineering; Value (mathematics); Geology; Archaeology; Geochemistry; Geography; Computer science; Metallurgy; Materials science; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001037008,0.00100165,0.0005184947,0.001848656,0.001135703,0.00516519,0.001513314,0.001870758,0.05849178],"category_scores_gemma":[0.00294033,0.0006110357,0.000755631,0.002160016,0.001420451,0.003765092,0.002027236,0.001169606,0.03450627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245456,"about_ca_system_score_gemma":0.001619795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006093859,"about_ca_topic_score_gemma":0.005288375,"domain_scores_codex":[0.9991333,0.0001444044,0.00007311396,0.0002490653,0.0003219175,0.00007818315],"domain_scores_gemma":[0.9994154,0.0002298421,0.00004774589,0.0001014318,0.0001785522,0.00002694562],"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":[0.00005518317,0.0001080663,0.003413826,0.001526641,0.00004126526,0.0005290085,0.001490299,0.005047138,0.005759365,0.3349971,0.2852308,0.3618014],"study_design_scores_gemma":[0.000003185584,0.00002173398,0.001711039,0.000487731,0.00001030787,0.0005412638,0.0003658581,0.001555266,0.00316322,0.07549653,0.9166265,0.00001734183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007474732,0.02728881,0.4927529,0.009731833,0.004297866,0.001324911,0.01110822,0.004024998,0.4419959],"genre_scores_gemma":[0.05908309,0.04612479,0.3777333,0.007976655,0.003973684,0.001738701,0.03081824,0.002755268,0.4697963],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05849178,"threshold_uncertainty_score":0.1956745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184591383690034,"score_gpt":0.252665282572747,"score_spread":0.2308193687358466,"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."}}