{"id":"W2042543807","doi":"10.1016/s1383-5866(01)00197-6","title":"Characterization of ultrafiltration membrane prepared from poly ethersulfone by using electron spin resonance technique","year":2002,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ultrafiltration (renal); Characterization (materials science); Electron paramagnetic resonance; Membrane; Materials science; Electron; Spin (aerodynamics); Chemical engineering; Nuclear magnetic resonance; Chemistry; Nanotechnology; Analytical Chemistry (journal); Chromatography; Physics; Engineering; Mechanical engineering; Nuclear physics","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":[0.0001794843,0.0002547432,0.0002548492,0.0002299408,0.000265775,0.0003022221,0.0002204762,0.000426605,0.0006903046],"category_scores_gemma":[0.000193599,0.00009984078,0.0002637212,0.0002030417,0.0001489461,0.0003961222,0.00009234968,0.0004233497,0.000279327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556923,"about_ca_system_score_gemma":0.0002079695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009937694,"about_ca_topic_score_gemma":0.0007193468,"domain_scores_codex":[0.9999212,0.000005147257,0.000005567498,0.00001813819,0.00002821327,0.00002165308],"domain_scores_gemma":[0.999872,0.00003239793,0.00002632128,0.00001417144,0.00003744109,0.00001765943],"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":[0.00003222269,0.00001046716,0.00008170355,0.00001614819,0.000002178886,0.00003641246,0.00001490958,0.00002356986,0.9988512,0.00003393377,0.0000187858,0.0008785271],"study_design_scores_gemma":[0.00000450041,0.00007912765,0.004988006,0.000005517363,0.00001043291,0.0001379309,0.0000259976,0.0004167248,0.9933222,0.00004790043,0.0009567395,0.000004878408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863781,0.000911942,0.01107208,0.0001719137,0.00004279311,0.00001586934,0.0003685959,0.0001213159,0.0009174193],"genre_scores_gemma":[0.9872759,0.001004055,0.006945488,0.0001131411,0.00002146053,0.00002297617,0.0009870484,0.00005101658,0.003578898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009937694,"threshold_uncertainty_score":0.002309322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999363115639465,"score_gpt":0.2790642498598452,"score_spread":0.2590706187034506,"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."}}