{"id":"W2773891086","doi":"10.1016/j.pecs.2017.11.002","title":"Thermally stable polymers for advanced high-performance gas separation membranes","year":2017,"lang":"en","type":"article","venue":"Progress in Energy and Combustion Science","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":332,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Alberta","funders":"","keywords":"Membrane; Polymer; Gas separation; Materials science; Thermal stability; Synthetic membrane; Polymeric membrane; Membrane technology; Chemical engineering; Nanotechnology; Process engineering; Chemistry; Engineering; 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":[0.0003529711,0.0004132281,0.0001777326,0.0003472099,0.0003593663,0.0005982481,0.0002504326,0.0005099975,0.003917469],"category_scores_gemma":[0.000484362,0.0003269235,0.0002888627,0.0002291853,0.0002821828,0.001398223,0.0005006457,0.001133912,0.000975362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004139878,"about_ca_system_score_gemma":0.0002935474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001412486,"about_ca_topic_score_gemma":0.0004197177,"domain_scores_codex":[0.9998518,0.00002958503,0.00001150547,0.00002215882,0.0000444065,0.00004034937],"domain_scores_gemma":[0.9998733,0.00002920433,0.00004017361,0.00001808834,0.00001929192,0.00001993907],"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":[0.0003445079,0.0001373734,0.0001629628,0.0004744213,0.00002273509,0.0001248127,0.00008964119,0.002581035,0.9607656,0.01236712,0.00125606,0.02167365],"study_design_scores_gemma":[0.0000324205,0.0002917364,0.0004221321,0.0000219636,0.00001448008,0.00007886364,0.00001764924,0.002872548,0.9833047,0.001153044,0.01176982,0.00002046735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011778,0.03006015,0.04152614,0.001598412,0.0007250826,0.0001847857,0.0004597904,0.0005923632,0.02367548],"genre_scores_gemma":[0.971238,0.006578424,0.01175623,0.0001794326,0.0001464549,0.0001020728,0.0002311024,0.0001459301,0.00962225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003917469,"threshold_uncertainty_score":0.01310521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294494506732015,"score_gpt":0.2695838528195096,"score_spread":0.2566389077521894,"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."}}