{"id":"W4207038619","doi":"10.2166/wst.2022.024","title":"Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes","year":2022,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Iran National Science Foundation","keywords":"Response surface methodology; Copper; Ultrafiltration (renal); Membrane; Goethite; Metal ions in aqueous solution; Polyacrylonitrile; Chemistry; Metal; Ferrous; Inorganic chemistry; Chemical engineering; Materials science; Adsorption; Chromatography; Metallurgy; Polymer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002093799,0.0002054022,0.0002476691,0.0007650795,0.0006926796,0.0000561892,0.0006590543,0.0001441367,0.0007566382],"category_scores_gemma":[0.0001256304,0.0001356212,0.00003758635,0.001409638,0.001950971,0.0008707566,0.0004210034,0.0002953682,0.00005467356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000654769,"about_ca_system_score_gemma":0.00009147834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002531088,"about_ca_topic_score_gemma":0.00003682158,"domain_scores_codex":[0.9967777,0.0002162908,0.0004017203,0.0007111336,0.001492586,0.0004006412],"domain_scores_gemma":[0.9990647,0.00002987671,0.0001968716,0.0004863592,0.0001771385,0.00004508733],"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":[0.00003834805,0.00006017633,0.002289606,0.000002493954,0.000008132931,0.000002980452,0.00135023,0.08632755,0.9083508,0.00006077487,0.000007601848,0.001501342],"study_design_scores_gemma":[0.0004204345,0.0003347379,0.001073647,0.000008373029,0.00004198261,0.00006865221,0.0009208857,0.0551022,0.9251275,0.01668533,0.00003502816,0.0001812305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975744,0.00002015008,0.0002494161,0.000797698,0.000109566,0.0006301174,0.00003702006,0.0001808675,0.0004007102],"genre_scores_gemma":[0.9991612,0.000003091657,0.0005804648,0.00005444812,0.00000619266,0.00009263857,0.00006420926,0.00001191207,0.00002578666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03122536,"threshold_uncertainty_score":0.8284658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865374259404193,"score_gpt":0.3069520189247405,"score_spread":0.2782982763306986,"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."}}