{"id":"W2984649431","doi":"","title":"Secondary minerals in tungsten mine tailings: Mount Pleasant, New Brunswick, Canada","year":2008,"lang":"en","type":"article","venue":"Geochimica et Cosmochimica Acta Supplement","topic":"Railway Systems and Materials Science","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tailings; Mount; Mining engineering; Tungsten; Geology; Environmental science; Metallurgy; Engineering","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":[0.0002202969,0.000198278,0.000212609,0.002423823,0.003760794,0.0009253377,0.0005532309,0.0002739065,0.002823044],"category_scores_gemma":[0.0002595012,0.0001771487,0.0001448639,0.002703317,0.0003928173,0.0003365625,0.0004224491,0.0003764898,0.0002776834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01361933,"about_ca_system_score_gemma":0.01563245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986842,"about_ca_topic_score_gemma":0.9980553,"domain_scores_codex":[0.9998052,0.000007220975,0.000006719107,0.00002697457,0.00009954247,0.00005442262],"domain_scores_gemma":[0.9995493,0.00001536206,0.00002628492,0.000004665169,0.0003628756,0.00004142271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008598457,0.0001618844,0.7682463,0.000599734,0.0001263236,0.00372047,0.00989835,0.002689164,0.04539318,0.003962913,0.02645867,0.1378831],"study_design_scores_gemma":[0.00001324159,0.00005739116,0.9389178,0.0001003355,0.00002748256,0.000336316,0.009930504,0.0005787017,0.005631035,0.0002097726,0.04417243,0.00002515204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488977,0.003677823,0.0004579369,0.001425312,0.00005860568,0.0001038253,0.004200698,0.00003635347,0.04114171],"genre_scores_gemma":[0.9322898,0.002329746,0.0009272783,0.0001271329,0.00001242205,0.00001672871,0.000960429,0.00002398836,0.06331258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361933,"threshold_uncertainty_score":0.09881562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162087156577383,"score_gpt":0.2051917658588294,"score_spread":0.1935708942930555,"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."}}