{"id":"W4393255872","doi":"10.3390/min14040356","title":"Machine-Learning Analysis of the Canadian Royalties Grinding Circuit","year":2024,"lang":"en","type":"article","venue":"Minerals","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Grinding; Ball mill; Grind; Pentlandite; Gangue; Mill; Metallurgy; Environmental science; Pulp and paper industry; Chalcopyrite; Concentrator; Pyrrhotite; Materials science; Engineering; Mechanical engineering; Sulfide","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":[0.0005741754,0.0004641486,0.0002451686,0.001732588,0.0005401066,0.0007891775,0.0005152375,0.0002637933,0.001667627],"category_scores_gemma":[0.002761127,0.0001468496,0.000382743,0.002261281,0.0003657786,0.0002418156,0.0002349639,0.0003907482,0.0003765811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005575778,"about_ca_system_score_gemma":0.0056096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8116228,"about_ca_topic_score_gemma":0.8031003,"domain_scores_codex":[0.9994681,0.00003005237,0.00001301415,0.00009550861,0.0003020813,0.00009129867],"domain_scores_gemma":[0.998749,0.0002002435,0.0001242162,0.00004307992,0.0008235723,0.00005996846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004966381,0.0002091047,0.3715187,0.0002770156,0.0002533765,0.0008815383,0.0008331648,0.1932685,0.04565177,0.006285421,0.0106425,0.3696824],"study_design_scores_gemma":[0.00001047387,0.00005141189,0.7237971,0.00001497332,0.00002987468,0.00007316162,0.0002330806,0.2596353,0.007827747,0.0006009121,0.007677512,0.00004848234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744076,0.0003456914,0.01220255,0.0002653892,0.0000256313,0.00005655854,0.002978203,0.000352734,0.009365594],"genre_scores_gemma":[0.9862844,0.0001570033,0.006576573,0.00002203033,0.00000551312,0.00001542771,0.00261006,0.00002654852,0.004302345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1883772,"threshold_uncertainty_score":0.3789731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635684165952174,"score_gpt":0.218733853796629,"score_spread":0.2023770121371072,"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."}}