{"id":"W4378083771","doi":"10.37190/ppmp/165992","title":"A preliminary investigation of dry gravity separation with low specific gravity ores using a laboratory Knelson Concentrator","year":2023,"lang":"en","type":"article","venue":"Physicochemical Problems of Mineral Processing","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetite; Concentrator; Gravity separation; Specific gravity; Quartz; Box–Behnken design; Magnetic separation; Materials science; Response surface methodology; Mineralogy; Pulp and paper industry; Chemistry; Environmental science; Process engineering; Metallurgy; Chromatography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005344549,0.0002844021,0.000578348,0.000291767,0.0004390538,0.0004563851,0.000527913,0.0004856609,0.0009749616],"category_scores_gemma":[0.0006113516,0.0001594766,0.0004076052,0.000277775,0.0002876944,0.0004117103,0.0002944152,0.0004651925,0.0004236305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003035661,"about_ca_system_score_gemma":0.0003468951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464372,"about_ca_topic_score_gemma":0.002976313,"domain_scores_codex":[0.9996567,0.00005230904,0.00002782652,0.00008138023,0.0001387146,0.00004304626],"domain_scores_gemma":[0.9997904,0.00008060476,0.00004309338,0.00001699049,0.00004922658,0.00001966679],"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":[0.0001966678,0.0001107071,0.0005468755,0.0001959572,0.00001340937,0.00005941129,0.00004799536,0.0001959456,0.9934037,0.00004155836,0.00006455932,0.005123234],"study_design_scores_gemma":[0.00003350481,0.001631711,0.009191321,0.00001162505,0.00003794591,0.0002556767,0.00007001287,0.001650807,0.9842956,0.00003019267,0.002774397,0.00001720921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905623,0.0007095358,0.007253613,0.0001107067,0.00001765857,0.0000846566,0.0001361736,0.00008316697,0.001042167],"genre_scores_gemma":[0.9706472,0.001146202,0.0243048,0.00009976856,0.00003129681,0.0000708315,0.0003805883,0.00006155139,0.003257788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001464372,"threshold_uncertainty_score":0.003261566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021388159314858,"score_gpt":0.2713460295482613,"score_spread":0.2511321479551127,"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."}}