{"id":"W2614946729","doi":"10.1016/j.jtice.2017.04.048","title":"Preparation and characterization of PPSU membranes with BiOCl nanowafers loaded on activated charcoal for oil in water separation","year":2017,"lang":"en","type":"article","venue":"Journal of the Taiwan Institute of Chemical Engineers","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Institute of Technology Karnataka, Surathkal; Universiti Teknologi Malaysia","keywords":"Membrane; Phase inversion; Contact angle; Polyvinylpyrrolidone; Ultrafiltration (renal); Chemical engineering; Fourier transform infrared spectroscopy; Materials science; Scanning electron microscope; Porosity; Chromatography; Biofouling; Chemistry; Nuclear chemistry; Polymer chemistry; Composite material","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":[0.0002501624,0.0002610962,0.0002394491,0.0002495488,0.0002555628,0.00031483,0.0001794431,0.0004580074,0.0005249968],"category_scores_gemma":[0.0003123471,0.0001994193,0.0002813337,0.0002664169,0.0001986746,0.0003811159,0.0001717418,0.0003582479,0.0002785024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109839,"about_ca_system_score_gemma":0.0001996598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007038383,"about_ca_topic_score_gemma":0.0009780411,"domain_scores_codex":[0.9998438,0.00001724571,0.00001484151,0.0000295263,0.00005608101,0.00003827428],"domain_scores_gemma":[0.9998765,0.00002571963,0.00002982761,0.00001640399,0.00003559529,0.00001598321],"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":[0.00002147445,0.000005307261,0.00006305429,0.00002300142,0.000003231489,0.00001891483,0.00001433386,0.00007089756,0.9990508,0.00003959886,0.00001410323,0.0006753301],"study_design_scores_gemma":[0.000001331596,0.00002172743,0.0004878444,0.000001087387,0.000003901421,0.00001715617,0.000008817312,0.0003439461,0.9987273,0.00001115271,0.0003735287,0.000002262929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912965,0.0008289126,0.00676611,0.00008805344,0.00003221032,0.00002044361,0.0001548895,0.00007717323,0.0007356036],"genre_scores_gemma":[0.9931052,0.0004131514,0.004808798,0.00003170382,0.000009686045,0.0000233981,0.000151119,0.00002135429,0.001435394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007038383,"threshold_uncertainty_score":0.002256393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009928921484605271,"score_gpt":0.2424801307779839,"score_spread":0.2325512092933786,"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."}}