{"id":"W2900588067","doi":"","title":"Composite membranes for gas separation","year":2018,"lang":"en","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Separation (statistics); Gas separation; Membrane; Composite number; Materials science; Chemistry; Computer science; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076895,0.0007697886,0.0006725111,0.0009198705,0.0007809607,0.000955077,0.0005910556,0.001622418,0.005157039],"category_scores_gemma":[0.0004826355,0.0003476271,0.0008732977,0.0006274168,0.0002903402,0.001414141,0.0007732847,0.001202329,0.00308338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009482164,"about_ca_system_score_gemma":0.0006104742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000587267,"about_ca_topic_score_gemma":0.001085679,"domain_scores_codex":[0.9992854,0.0001092971,0.00003407999,0.0001761262,0.0003115795,0.00008350988],"domain_scores_gemma":[0.9997787,0.00006366468,0.00003404077,0.00002072558,0.00008140716,0.0000214671],"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":[0.00009390081,0.00003882259,0.0001161494,0.0009900528,0.00004713266,0.0001424491,0.00005339842,0.000425051,0.9711366,0.002341527,0.001720794,0.02289413],"study_design_scores_gemma":[0.00002149863,0.0001971878,0.0005200119,0.00006700977,0.00004322455,0.0004699045,0.00004510151,0.002245185,0.9198675,0.0008687287,0.07563066,0.00002405751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2895782,0.2574615,0.3487052,0.004734267,0.003871445,0.001060475,0.003286977,0.004834442,0.08646751],"genre_scores_gemma":[0.6883247,0.07718304,0.1773291,0.001859742,0.0005648955,0.0009424128,0.002382434,0.0005067618,0.05090695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005157039,"threshold_uncertainty_score":0.01725209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009483293685454586,"score_gpt":0.2046432328785852,"score_spread":0.1951599391931306,"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."}}