{"id":"W3191348561","doi":"10.1016/j.mineng.2021.107123","title":"Computational modeling of cetyl phosphate adsorption on magnesite (1 0 4) surface","year":2021,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Magnesite; Adsorption; Phosphate; Chemistry; Chemical engineering; Density functional theory; Inorganic chemistry; Materials science; Organic chemistry; Computational chemistry; Magnesium","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":[0.0003143238,0.0005172525,0.001080405,0.000439033,0.001027197,0.001128137,0.001389672,0.002293966,0.004593125],"category_scores_gemma":[0.001214533,0.0005210623,0.0008644089,0.0005231792,0.0008395687,0.0006816461,0.0006576913,0.0009712883,0.0003410656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538446,"about_ca_system_score_gemma":0.001950811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04927337,"about_ca_topic_score_gemma":0.02125214,"domain_scores_codex":[0.9998626,0.00002994045,0.000004877415,0.00002160692,0.00003319458,0.00004791339],"domain_scores_gemma":[0.9992431,0.0005464572,0.0000404692,0.00003642886,0.00008462545,0.00004893805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000619757,0.00005885368,0.0006617658,0.00003757196,0.00001503027,0.00007439673,0.0000235029,0.9938614,0.0006530816,0.003551124,0.0002910942,0.0007101624],"study_design_scores_gemma":[0.0000114645,0.00001121884,0.0001177581,0.000001873838,0.000002243807,0.000003900448,0.00001270224,0.9993012,0.0001253232,0.0003281983,0.00008183748,0.0000023383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383932,0.0003901456,0.01768779,0.001193049,0.000153618,0.00007680818,0.000846154,0.0001954364,0.04106392],"genre_scores_gemma":[0.9892476,0.0001778268,0.004191422,0.0001806326,0.00003743026,0.0001173417,0.000386087,0.00004803313,0.005613682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04927337,"threshold_uncertainty_score":0.09797311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235231974522348,"score_gpt":0.2251619870200989,"score_spread":0.2128096672748754,"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."}}