{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002528453,0.000359478,0.0004191509,0.0004428138,0.0001588418,0.0001105761,0.0002035802,0.0004298877,0.00004995124],"category_scores_gemma":[0.0001963015,0.0003715868,0.0001174042,0.000369784,0.000006015077,0.0002262402,0.00001585009,0.0005015663,0.00001057703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212082,"about_ca_system_score_gemma":0.0000494607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008501291,"about_ca_topic_score_gemma":0.00120862,"domain_scores_codex":[0.9983449,0.00001467883,0.0005536394,0.0003795675,0.0001810558,0.0005261393],"domain_scores_gemma":[0.9993932,0.0001806025,0.000121323,0.0001774671,0.00005328644,0.00007411222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002116799,0.0002439546,0.07382078,0.0406733,0.001199035,0.0001378,0.01623299,0.1724373,0.0240738,0.01077951,0.05911804,0.6010718],"study_design_scores_gemma":[0.01059784,0.0005037963,0.1198988,0.06957542,0.00103485,0.0001360987,0.02516568,0.5490372,0.06070373,0.1047285,0.03878691,0.01983116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497091,0.0008348367,0.003522601,0.00001576737,0.001852602,0.0005576965,0.00004313085,0.0006990745,0.04276523],"genre_scores_gemma":[0.9819632,0.0001948506,0.003218697,0.00002326856,0.0004041562,0.0002104077,0.001187429,0.0001703513,0.01262771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5812407,"threshold_uncertainty_score":0.9998736,"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."}}