{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004761002,0.0001617088,0.0002468253,0.00007547508,0.00005418467,0.00003135848,0.0001394785,0.0002235207,0.00008065454],"category_scores_gemma":[0.00007475167,0.0001745076,0.00005104144,0.0004237232,0.00009775617,0.00008233433,0.00002435107,0.000590231,0.000002402519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006958919,"about_ca_system_score_gemma":0.00004357854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125509,"about_ca_topic_score_gemma":0.000005117467,"domain_scores_codex":[0.9987532,0.00002370022,0.0002819241,0.0002243098,0.0003636267,0.0003531775],"domain_scores_gemma":[0.999369,0.000174639,0.00001745707,0.0002200005,0.0001134845,0.0001053659],"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":[0.00001981511,0.00003333081,0.001342108,0.0003781594,0.00001997899,0.000005044618,0.00004048022,0.03062469,0.9670975,0.00003111499,0.0001592442,0.0002484919],"study_design_scores_gemma":[0.0005690841,0.00001474726,0.002960706,0.00004375499,0.000007298854,0.00001073448,0.00001117751,0.01397584,0.9801842,0.00001788674,0.002048948,0.000155642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996415,0.0002197661,0.00004053953,0.00003421658,0.00006682692,0.0001927463,0.00002212878,0.0001585111,0.00285025],"genre_scores_gemma":[0.9993644,0.00002770858,0.00002042363,6.454282e-7,0.0002917282,0.00002268384,0.00002282858,0.00002639519,0.0002231693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664885,"threshold_uncertainty_score":0.7116212,"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."}}