{"id":"W2291280216","doi":"10.1021/acs.jchemed.5b00514","title":"Flotation of Mineral and Dyes: A Laboratory Experiment for Separation Method Molecular Hitchhikers","year":2016,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Extraction (chemistry); Wastewater; Mineral; Mineral processing; Chemistry; Process engineering; Biochemical engineering; Environmental chemistry; Environmental science; Chromatography; Waste management; Engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009714623,0.000319911,0.0003644103,0.0003316303,0.001048814,0.0004320111,0.0007265751,0.001015836,0.003010622],"category_scores_gemma":[0.0009529319,0.000229543,0.0002953652,0.0003425659,0.0005740457,0.0008410108,0.0006641235,0.001095389,0.0006233455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601029,"about_ca_system_score_gemma":0.0004543203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016888,"about_ca_topic_score_gemma":0.0009790191,"domain_scores_codex":[0.9992132,0.0001841729,0.00004806546,0.0001958203,0.0002730145,0.00008566837],"domain_scores_gemma":[0.999377,0.0002927069,0.00005814001,0.00008030095,0.0001342809,0.00005762103],"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":[0.0003143279,0.0004262633,0.0005354858,0.000262946,0.00001415344,0.00007872666,0.0002244105,0.0002056248,0.9872522,0.001113143,0.0004185187,0.009154213],"study_design_scores_gemma":[0.00009012855,0.00249454,0.001627883,0.00002835283,0.00003005132,0.0001448639,0.000101411,0.002188445,0.9885942,0.0002481354,0.004426571,0.00002538314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550247,0.002526553,0.03379026,0.0008376374,0.0003694756,0.0005420253,0.000314859,0.0002484744,0.006346073],"genre_scores_gemma":[0.9331994,0.001747933,0.0554739,0.0003760696,0.00009399741,0.0004206283,0.0004627014,0.00007148628,0.008153928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003010622,"threshold_uncertainty_score":0.01007158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810666568945098,"score_gpt":0.3443668029746415,"score_spread":0.3362601372851906,"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."}}