{"id":"W4239176799","doi":"10.4095/305007","title":"Geoenvironmental characteristics of Canadian critical metal deposits","year":2017,"lang":"en","type":"report","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Environmental science; Geology; Mining engineering; Earth science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124658,0.0002088983,0.0003853308,0.0002988654,0.00009666444,0.00005284475,0.0001895232,0.0002675192,0.0003232821],"category_scores_gemma":[0.0001313335,0.000203491,0.00008758003,0.00003577084,0.0000683467,0.00006904585,0.00002817674,0.0002958748,0.0000381071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980248,"about_ca_system_score_gemma":0.0002617206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04096955,"about_ca_topic_score_gemma":0.02012404,"domain_scores_codex":[0.9989663,0.000004985312,0.0002927676,0.0001544559,0.0002834738,0.0002980375],"domain_scores_gemma":[0.9994016,0.00001962088,0.00005509465,0.0002657304,0.00003907072,0.0002189009],"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":[0.0000190388,0.000254019,0.02457594,0.02405482,0.002888266,0.003085277,0.0007479523,0.0007928553,0.01290269,0.001131867,0.4712864,0.4582609],"study_design_scores_gemma":[0.00030414,0.00009572561,0.1341723,0.001246081,0.0008951456,0.0008941139,0.00005144204,0.003752294,0.006954826,0.00005972708,0.849252,0.002322206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06137291,0.001079072,0.0000863455,0.00004203945,0.002416468,0.00009248177,0.0003070264,0.00009928075,0.9345044],"genre_scores_gemma":[0.988387,0.0005616648,0.0002909675,0.000006929418,0.0003866712,0.000004408475,0.000133388,0.00005538961,0.01017362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9270141,"threshold_uncertainty_score":0.9977561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246087029764478,"score_gpt":0.2616291054476648,"score_spread":0.22916823515002,"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."}}