{"id":"W2050683183","doi":"10.1016/j.memsci.2004.12.041","title":"Performance of silicone-coated polymeric membrane in separation of hydrocarbons and nitrogen mixtures","year":2005,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Kasetsart University Research and Development Institute; Natural Resources Canada","keywords":"Permeance; Propane; Polysulfone; Permeation; Membrane; Plasticizer; Solubility; Silicone; Silicone rubber; Chemical engineering; Ethylene; Propylene oxide; Olefin fiber; Materials science; Chemistry; Polymer chemistry; Ethylene oxide; Organic chemistry; Polymer; Copolymer","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":[0.0007161947,0.0001203452,0.0003272568,0.0004932275,0.00003401225,0.00001208311,0.000241044,0.00005043677,0.0000305657],"category_scores_gemma":[0.00003231685,0.0001055683,0.00005325238,0.0007934917,0.0002391606,0.0006336468,0.000008867146,0.0001616666,0.000001318648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887915,"about_ca_system_score_gemma":0.0001150623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178967,"about_ca_topic_score_gemma":0.00001952889,"domain_scores_codex":[0.9985075,0.00002051036,0.000700455,0.0001111501,0.0004671418,0.0001932599],"domain_scores_gemma":[0.9994135,0.00003899763,0.0002187403,0.0001332874,0.00008838501,0.0001070682],"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":[0.00005448353,0.00003615736,0.003475065,0.00009328172,0.00001083107,0.000002412741,0.0006079252,0.04150102,0.9531743,0.00002656176,0.000006128802,0.001011824],"study_design_scores_gemma":[0.0006299706,0.000112016,0.008177171,0.00008455494,0.0000175355,0.00007568445,0.00003983789,0.07211234,0.918592,0.000006671099,0.00005866029,0.00009359686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974815,0.0006711665,0.000042077,0.00009062207,0.0001115566,0.0000818533,0.000002103707,0.00001173748,0.001507414],"genre_scores_gemma":[0.9987935,0.0006421432,0.0004695083,0.00002751921,0.00003854961,9.206056e-7,7.840976e-7,0.000008495505,0.00001858081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03458235,"threshold_uncertainty_score":0.4304952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007755943404326116,"score_gpt":0.2400918356055422,"score_spread":0.2323358922012161,"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."}}