{"id":"W2940749153","doi":"10.1016/s0892-6875(00)80002-3","title":"Mineral resources and beneficiation plant practices in India","year":2000,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Beneficiation; Mineral; Mineral resource classification; Mineral processing; Mining engineering; Metallurgy; Engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001242459,0.0001230989,0.0001404977,0.0001285558,0.00001328354,0.00004509143,0.00006642719,0.00007345251,0.00005794505],"category_scores_gemma":[0.0000231235,0.0001372678,0.00001386026,0.0001069317,0.000004281749,0.0001792458,0.00001062175,0.000121667,0.000006882996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003025467,"about_ca_system_score_gemma":0.00000214981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004748028,"about_ca_topic_score_gemma":0.00002002312,"domain_scores_codex":[0.9994372,0.00000408391,0.0001927526,0.0001260738,0.00004175595,0.0001981295],"domain_scores_gemma":[0.9997869,0.00003832607,0.00002801514,0.0001004993,0.000003918193,0.00004236312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002612535,0.00003336251,0.01263689,0.0002475366,0.00004077701,0.00004966365,0.002314901,0.9073342,0.05589933,0.001307375,0.003874225,0.01623562],"study_design_scores_gemma":[0.000276845,0.00003112954,0.04858187,0.00009504004,0.000008081511,0.00003467694,0.00002533102,0.8776093,0.00162421,0.00002267415,0.07131319,0.0003776412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935819,0.0004788002,0.00006492774,0.00002235651,0.00005507461,0.00006919044,0.000009202483,0.0002752003,0.00544337],"genre_scores_gemma":[0.9949316,0.0004886009,0.004180871,0.00001970605,0.0001092018,0.00002095009,0.00001566839,0.00003045291,0.0002029275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06743896,"threshold_uncertainty_score":0.5597618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060847471331528,"score_gpt":0.1982627773155251,"score_spread":0.1876543026022098,"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."}}