{"id":"W1971693278","doi":"10.1021/ie900305r","title":"Sphalerite Flotation Using an Arylhydroxamic Acid Collector: Improving Grade while Using a Reduced Amount of Copper Sulfate for Activation","year":2009,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gangue; Sphalerite; Xanthate; Chemistry; Copper; Sulfate; Pyrite; Froth flotation; Depressant; Inorganic chemistry; Sulfide minerals; Reagent; Galena; Nuclear chemistry; Chalcopyrite; Metallurgy; Mineralogy; Materials science; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007230386,0.0001520291,0.000184716,0.00007512388,0.000165093,0.00007139785,0.0001917351,0.0002075603,0.0001395197],"category_scores_gemma":[0.0003185913,0.0001715468,0.00005107175,0.0005762995,0.00005723249,0.000400532,0.00003656172,0.0003077142,0.00000140237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005469723,"about_ca_system_score_gemma":0.00007714302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002853966,"about_ca_topic_score_gemma":0.000002430886,"domain_scores_codex":[0.9984354,0.00004876437,0.0003656951,0.0003219687,0.0004727414,0.000355468],"domain_scores_gemma":[0.9993912,0.00006978124,0.000115259,0.0002223924,0.00008178898,0.000119576],"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":[0.00005983404,0.00006119094,0.0000471313,0.00002088085,0.000005047629,5.560593e-7,0.0001307246,0.03817978,0.9602708,0.000003781259,0.0001510794,0.001069196],"study_design_scores_gemma":[0.0004494616,0.00007691452,0.0001134984,0.00003871853,0.000005156398,0.000002892208,0.00003343267,0.2572664,0.7417243,0.00001738538,0.0001470671,0.0001247258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977813,0.000008070087,0.001350572,0.00005024056,0.00004896577,0.0005523919,0.00001435279,0.00007846636,0.0001156288],"genre_scores_gemma":[0.9978812,0.000002123033,0.001680372,0.000007220466,0.0002219417,0.00003011357,0.00005795951,0.00002283663,0.00009628394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2190867,"threshold_uncertainty_score":0.6995475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1641849299067089,"score_gpt":0.3698329073110046,"score_spread":0.2056479774042957,"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."}}