{"id":"W1964808411","doi":"10.1016/j.mineng.2004.06.008","title":"Effect of fineness of grind on semi-batch flotation test results","year":2004,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Energie NB Power (Canada); Université Laval","funders":"","keywords":"Fineness; Grind; Particle size; Froth flotation; Chemistry; Metallurgy; Mineralogy; Pulp and paper industry; Materials science; Grinding; Engineering","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":[0.0002598004,0.0001199735,0.0001733582,0.00006707868,0.00001569361,0.000005606092,0.00009510916,0.00004066484,0.00006333295],"category_scores_gemma":[0.0003078572,0.0001053456,0.00004099378,0.0002708847,0.00002369235,0.00008902052,0.00002095586,0.00005719874,0.00002573131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004446853,"about_ca_system_score_gemma":0.00000425993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001293606,"about_ca_topic_score_gemma":0.0000153729,"domain_scores_codex":[0.9991909,0.00001791403,0.0003167297,0.000155047,0.0002059662,0.0001134848],"domain_scores_gemma":[0.9995167,0.0001746675,0.00009463849,0.0001603062,0.0000147763,0.00003896753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002707508,0.00002990285,0.0003846048,0.00003338797,0.000002524151,0.000001202632,0.0001286782,0.2681646,0.7302479,0.0001601928,0.0003159362,0.0005040033],"study_design_scores_gemma":[0.0006935102,0.0004866644,0.002806775,0.00006537395,0.000005833232,0.000001945112,0.000001939703,0.004897607,0.9903523,0.00002491705,0.0005579502,0.000105233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941233,0.000009665955,0.001784488,0.00007592294,0.00005222733,0.0001804554,0.00002220917,0.00006653924,0.003685181],"genre_scores_gemma":[0.9980785,0.000008110078,0.0013607,0.00001837136,0.00002061386,0.00002107859,0.0000279751,0.00001246217,0.0004522412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.263267,"threshold_uncertainty_score":0.4295869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004793414723339932,"score_gpt":0.2300764254714308,"score_spread":0.2252830107480909,"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."}}