{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001659698,0.0002870092,0.0001764636,0.002743756,0.002577069,0.0009184425,0.0006826033,0.0002149371,0.003284003],"category_scores_gemma":[0.0006810059,0.0001914184,0.0002032381,0.004171631,0.0005473514,0.0001956484,0.000652648,0.0001541483,0.0003436412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01788901,"about_ca_system_score_gemma":0.01182429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985652,"about_ca_topic_score_gemma":0.9958206,"domain_scores_codex":[0.9995199,0.0000132044,0.00001699633,0.00007987187,0.0002617667,0.0001081167],"domain_scores_gemma":[0.9991923,0.00002054667,0.00009369155,0.0000138859,0.0006050431,0.0000744762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428629,0.00003969717,0.9410459,0.0001547745,0.00005914567,0.0007702182,0.002625632,0.0006268761,0.01201809,0.0008368058,0.006499681,0.03518032],"study_design_scores_gemma":[0.000003757692,0.00001471317,0.9822096,0.00001808144,0.00001567283,0.0002128917,0.001755936,0.0002154438,0.001358746,0.0000521638,0.01412686,0.00001616465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9727801,0.0005601411,0.0003072266,0.0002884465,0.000007381421,0.00004927886,0.005808577,0.00003535724,0.02016349],"genre_scores_gemma":[0.991525,0.0004388468,0.0005214214,0.00005822462,0.000002800016,0.00001571566,0.002131265,0.00001198244,0.005294579],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01788901,"threshold_uncertainty_score":0.1297944,"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."}}