{"id":"W4200106910","doi":"10.1002/cjce.24347","title":"Hydrodynamic collisions involving bubbles and mineral particles","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bubble; Coalescence (physics); Mechanics; Impurity; Air bubble; Materials science; Chemical physics; Mineral; Chemical engineering; Nanotechnology; Chemistry; Physics; Metallurgy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001165618,0.00004752926,0.00006921588,0.00002089205,0.00005030426,0.00004264586,0.00007656789,0.00002458178,0.000237826],"category_scores_gemma":[0.0001623832,0.00003640425,0.00002464034,0.0001058236,0.00005104718,0.00008426958,0.00001500362,0.0001008131,0.000003952522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007433548,"about_ca_system_score_gemma":0.00004962519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004603943,"about_ca_topic_score_gemma":0.001340717,"domain_scores_codex":[0.999606,0.00001071003,0.0001415639,0.00004803907,0.00008528891,0.0001084157],"domain_scores_gemma":[0.9996552,0.00004159438,0.00003278219,0.00005725877,0.00001585938,0.0001972495],"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":[9.118435e-7,0.000002797873,0.001134187,0.000002626366,0.000005653191,0.00002349562,0.0003833072,0.007995686,0.9877247,0.0006378912,0.001691444,0.0003973418],"study_design_scores_gemma":[0.0002830135,0.00002334073,0.00420395,0.00006395016,0.00002524382,0.0004339906,0.00008541579,0.1535944,0.8311855,0.001453609,0.008428713,0.0002188815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981996,0.0002053713,0.0002142071,0.001091252,0.00003461539,0.00001848127,0.000001201681,0.000006196431,0.0002290909],"genre_scores_gemma":[0.9977432,0.000004603311,0.001950433,0.0001564648,0.00002873089,9.0501e-7,0.000001014637,0.000004926264,0.0001096951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1565391,"threshold_uncertainty_score":0.2604028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007852157403266887,"score_gpt":0.1980222201471672,"score_spread":0.1901700627439003,"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."}}