{"id":"W2085968212","doi":"10.4236/jmmce.2014.23025","title":"Electrostatic Separation as a Characterizing Tool for the Insulation of Conductive Mineral Particles","year":2014,"lang":"en","type":"article","venue":"Journal of Minerals and Materials Characterization and Engineering","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Thetford","funders":"","keywords":"Coating; Materials science; Composite material; Hematite; Talc; Particle (ecology); Electrical conductor; Volume (thermodynamics); Particle size; Mineralogy; Chemical engineering; Metallurgy; Chemistry; Geology","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":[0.000569773,0.0001020344,0.0002403329,0.00007949807,0.00006724612,0.0001035604,0.00004745996,0.00003712725,0.00002230518],"category_scores_gemma":[0.0002528319,0.00007217155,0.00002428312,0.00006871517,0.00002284722,0.0003892208,0.00001235018,0.00003195321,6.157546e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001033443,"about_ca_system_score_gemma":0.00001704002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004643104,"about_ca_topic_score_gemma":2.166382e-7,"domain_scores_codex":[0.9991496,0.00004096055,0.0004919668,0.00008873295,0.0001072209,0.0001215789],"domain_scores_gemma":[0.9991934,0.0001491681,0.0004082471,0.0000569288,0.0001511224,0.00004112168],"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":[0.0001081996,0.00001306256,0.00004507922,0.00006567518,0.00001192804,1.760745e-7,0.0005004999,0.0001211634,0.9955734,0.002526773,0.000005447202,0.001028588],"study_design_scores_gemma":[0.0009571681,0.0003531514,0.0374195,0.00007019383,0.00005292573,0.0000394722,0.00003945474,0.01445009,0.9444901,0.0002327314,0.001751139,0.0001440695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539911,0.00004969454,0.04522456,0.0002732746,0.0002698312,0.0001630982,0.00001605971,0.000009769278,0.000002630968],"genre_scores_gemma":[0.9980168,0.00009870281,0.00148922,0.0001270546,0.0001985145,0.00001123478,0.00001814838,0.00001093588,0.0000293659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0510833,"threshold_uncertainty_score":0.294307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006928258965336,"score_gpt":0.2363553367069969,"score_spread":0.2262860541173435,"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."}}