{"id":"W7162006761","doi":"10.82308/20093","title":"Developing simple regressions for predicting gold gravity recovery in grinding circuit","year":2002,"lang":"en","type":"dissertation","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grinding; Multilinear map; Fineness; Ball (mathematics); Logarithm; Gold ore; Specific gravity; Gravity separation","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":[0.002637426,0.001513593,0.0009569625,0.001180381,0.0002782083,0.000788902,0.001435763,0.001226508,0.003352107],"category_scores_gemma":[0.00898188,0.000762808,0.00128976,0.001233798,0.0003024161,0.0009537552,0.0006475664,0.001459531,0.001500333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185726,"about_ca_system_score_gemma":0.001069801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03319778,"about_ca_topic_score_gemma":0.02624102,"domain_scores_codex":[0.9992467,0.0003100735,0.00004495186,0.0001970116,0.000127083,0.00007419286],"domain_scores_gemma":[0.9950112,0.003873457,0.0004605603,0.0001623799,0.0003997481,0.00009266512],"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":[0.00007145241,0.0001115886,0.02615257,0.00006922361,0.0001052091,0.00004465437,0.00002916546,0.9488685,0.002198632,0.0005343595,0.0005238007,0.02129082],"study_design_scores_gemma":[0.000008189741,0.0000790115,0.006558153,0.000005990268,0.00001542363,0.000009939931,0.00001956412,0.991833,0.0008013243,0.0003536774,0.0003044285,0.00001124777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5896282,0.0005451055,0.400463,0.0002998937,0.00005856291,0.0003357735,0.003287548,0.002425385,0.002956466],"genre_scores_gemma":[0.9027442,0.0002701459,0.09105444,0.00006642593,0.0000200428,0.0002836307,0.00235259,0.0001511823,0.003057328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03319778,"threshold_uncertainty_score":0.0660091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056720845232022,"score_gpt":0.2790782422199833,"score_spread":0.2385110337676631,"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."}}