{"id":"W4366086629","doi":"10.1021/acsengineeringau.2c00053","title":"Emerging Trends of Computational Chemistry and Molecular Modeling in Froth Flotation: A Review","year":2023,"lang":"en","type":"review","venue":"ACS Engineering Au","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Froth flotation; Computer science; Biochemical engineering; Process engineering; Beneficiation; Mineral processing; Nanotechnology; Chemistry; Engineering; 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":[0.000224366,0.0001683981,0.000536497,0.00007415846,0.00001439137,0.000007995459,0.0001068616,0.00007478727,0.0001057607],"category_scores_gemma":[0.0000541877,0.0001705311,0.00007428395,0.0005165897,0.000014019,0.00005531466,0.0000581608,0.0001277698,0.00001164813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000920497,"about_ca_system_score_gemma":0.00001976749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004609638,"about_ca_topic_score_gemma":0.000003289239,"domain_scores_codex":[0.9989981,0.00002062932,0.0004727662,0.0002110491,0.0001782131,0.0001192115],"domain_scores_gemma":[0.9996868,0.00003853337,0.0001066624,0.0001222346,0.00000713447,0.00003863605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.443027e-7,0.00001591309,0.000004041109,0.02618577,0.00003419811,0.000009693925,0.0001524678,0.3045293,0.0001392691,0.00007974142,0.0006007993,0.6682483],"study_design_scores_gemma":[0.0002377341,0.00001726834,0.00002003156,0.04688077,0.0001978008,0.00002554559,0.000006891099,0.6412457,0.00008683645,0.0001702762,0.3103245,0.0007865507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002168796,0.9925607,0.00634992,0.00004163785,0.00002375839,0.0001981437,0.000009911169,0.0001029297,0.0004960517],"genre_scores_gemma":[0.0001817855,0.9967666,0.002639332,0.00002524723,0.00001564698,0.00008878879,0.0001213496,0.00003050581,0.0001307106],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6674618,"threshold_uncertainty_score":0.6954058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998239890371109,"score_gpt":0.3064627490430084,"score_spread":0.2764803501392973,"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."}}