{"id":"W2054603855","doi":"10.1021/ie0512035","title":"Diffusive Permeability and Selectivity of Nanocomposite Membranes","year":2006,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Penetrant (biochemical); Volume fraction; Membrane; Permeability (electromagnetism); Thermal diffusivity; Polymer; Selectivity; Materials science; Chemical physics; Nanocomposite; Homogeneous; Microstructure; Synthetic membrane; Polymer nanocomposite; Chemical engineering; Polymer chemistry; Chemistry; Nanotechnology; Thermodynamics; Composite material; Physics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002455939,0.0001912509,0.0001723553,0.0003445913,0.000199767,0.000391323,0.0002041751,0.0002616993,0.0004021379],"category_scores_gemma":[0.0008012204,0.0001519697,0.0001347115,0.0001197045,0.0002822299,0.0005117509,0.0002861892,0.0004050649,0.00009799095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602622,"about_ca_system_score_gemma":0.0001144218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238736,"about_ca_topic_score_gemma":0.0003536425,"domain_scores_codex":[0.9998775,0.00001330463,0.000005654084,0.0000439381,0.0000413933,0.00001837586],"domain_scores_gemma":[0.9997287,0.0001447479,0.00004872757,0.00001330232,0.00004433735,0.00002007156],"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":[0.0001313743,0.00001737744,0.0004029633,0.00003139921,0.000003585045,0.0000570737,0.00003443319,0.0008844631,0.9959254,0.0006025523,0.0000249298,0.001884397],"study_design_scores_gemma":[0.00001049906,0.00008126344,0.00154579,0.000002736921,0.00000899442,0.0002314889,0.00002289071,0.01656054,0.9807826,0.000425281,0.0003190844,0.000008835135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953537,0.0005427451,0.003109823,0.00005769763,0.000007188168,0.000003841975,0.00003087148,0.00004152338,0.0008524812],"genre_scores_gemma":[0.9988795,0.0002154359,0.0006233795,0.000007039769,0.000003757509,0.000003221643,0.00002047234,0.000003945023,0.0002431648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006238736,"threshold_uncertainty_score":0.002613902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367707434365597,"score_gpt":0.2751637456441064,"score_spread":0.2414866713004504,"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."}}