{"id":"W2105963017","doi":"10.1007/s00126-011-0334-y","title":"Discriminant diagrams for iron oxide trace element fingerprinting of mineral deposit types","year":2011,"lang":"en","type":"article","venue":"Mineralium Deposita","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":558,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Iron oxide copper gold ore deposits; Magnetite; Skarn; Bornite; Geology; Hematite; Electron microprobe; Chalcopyrite; Ilmenite; Mineral; Geochemistry; Mineralization (soil science); Mineralogy; Chromite; Copper; Quartz; Metallurgy; Materials science; Fluid inclusions","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001452873,0.000167796,0.0002739409,0.00004588249,0.0000831831,0.00001913849,0.0002431072,0.0000640716,0.000830868],"category_scores_gemma":[0.00005454357,0.0001139729,0.0001883566,0.0001431602,0.00006645783,0.0000813291,0.00002623015,0.00007285814,0.00002396596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002957913,"about_ca_system_score_gemma":0.000006169574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07460053,"about_ca_topic_score_gemma":0.0468609,"domain_scores_codex":[0.9987792,0.00003310278,0.0003625382,0.000297235,0.0001626674,0.0003651897],"domain_scores_gemma":[0.9994476,0.00008813007,0.000118858,0.0001762926,0.00005086276,0.0001182227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007830247,0.00008282416,0.9646801,0.00006439033,0.00004361596,0.000008340447,0.0001886221,0.0002297291,0.02920349,0.00012395,0.0002049423,0.005091696],"study_design_scores_gemma":[0.000222192,0.0002244078,0.9781964,0.00001938274,0.0001553184,0.000007450184,0.00006648853,0.004576509,0.01518493,0.001082811,0.00005679356,0.0002073425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946743,0.0005929075,0.0007538869,0.0001827927,0.0000762243,0.0001583198,0.0000280086,0.00002491968,0.00350868],"genre_scores_gemma":[0.9851173,0.00001453521,0.01421189,0.00009625962,0.0000582867,0.000006425582,0.00008548904,0.000003600184,0.0004061644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02773963,"threshold_uncertainty_score":0.9705314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464994522167109,"score_gpt":0.2042997286834091,"score_spread":0.1796497834617381,"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."}}