{"id":"W2562297636","doi":"10.1080/00084433.2016.1261501","title":"A systems approach to mineral processing based on mathematical programming","year":2016,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Concentrator; Computer science; Profitability index; Representation (politics); Mineral processing; Sample (material); Product (mathematics); Industrial engineering; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001291993,0.0009638903,0.0007952637,0.001108266,0.0009983373,0.002941541,0.00198828,0.001301281,0.00548909],"category_scores_gemma":[0.001859641,0.0004806077,0.001627196,0.001335278,0.003257962,0.003006106,0.001847888,0.003033628,0.0008434685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002515521,"about_ca_system_score_gemma":0.002376874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004317213,"about_ca_topic_score_gemma":0.003440085,"domain_scores_codex":[0.9991494,0.0003337585,0.00004800842,0.0001143267,0.000290712,0.0000636898],"domain_scores_gemma":[0.999129,0.000519364,0.00008698888,0.00007564582,0.0001521193,0.00003697306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003041583,0.00001011834,0.00005930102,0.00004273871,0.00001256075,0.00003840449,0.00005960003,0.06134653,0.0002221085,0.9332476,0.0007726489,0.004185416],"study_design_scores_gemma":[0.000008594957,0.00002181602,0.00006835693,0.00002680927,0.000009033521,0.00004717831,0.00003763407,0.156876,0.0001973756,0.8268107,0.01588335,0.00001325613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002066125,0.001209849,0.9696801,0.001937123,0.0001249073,0.00003606092,0.0000754677,0.00007107954,0.0247993],"genre_scores_gemma":[0.3249064,0.006392296,0.6379246,0.0008912886,0.001027683,0.0005269009,0.0002036922,0.0002077012,0.02791934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00548909,"threshold_uncertainty_score":0.01836282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459290698159385,"score_gpt":0.1967110143943479,"score_spread":0.1821181074127541,"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."}}