{"id":"W4237307554","doi":"10.3133/70178419","title":"Minerals Yearbook, volume III, Area Reports — International — Latin America and Canada","year":2017,"lang":"en","type":"article","venue":"Minerals yearbook","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yearbook; Geological survey; Mineral resource classification; Mining engineering; Geography; Library science; Geology; Geochemistry; Computer science","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":[0.0009104902,0.001454037,0.0008470337,0.009356964,0.001933138,0.006564402,0.001822001,0.0008557942,0.2353837],"category_scores_gemma":[0.005289514,0.0007605449,0.0004841637,0.02282512,0.0005527262,0.002445173,0.0009178253,0.001578584,0.1557279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01215982,"about_ca_system_score_gemma":0.03615041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.70301,"about_ca_topic_score_gemma":0.6589068,"domain_scores_codex":[0.9982563,0.00004371118,0.0000872946,0.0001709408,0.00127407,0.0001677149],"domain_scores_gemma":[0.9948058,0.0002170511,0.0001644721,0.0002044366,0.004281473,0.000326844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009810386,0.00000864188,0.0001950842,0.00009959193,0.000001912545,0.000006014805,0.00001627385,0.00006489148,0.00003883371,0.001186121,0.9807438,0.01762903],"study_design_scores_gemma":[0.000001752229,0.000001239955,0.0008198753,0.00003302955,9.218527e-7,0.000004985542,0.00002042619,0.0000137068,0.00001958206,0.00006576082,0.9990162,0.000002535938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008667653,0.01193746,0.0008369331,0.00292228,0.004351419,0.0005737619,0.4102165,0.001934209,0.5663605],"genre_scores_gemma":[0.003393193,0.01635403,0.001914154,0.0007673545,0.0006835528,0.0003453268,0.1977069,0.001206979,0.7776285],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.29699,"threshold_uncertainty_score":0.787437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744008342390768,"score_gpt":0.202948087362392,"score_spread":0.1855080039384843,"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."}}