{"id":"W1967026356","doi":"10.1016/j.memsci.2007.02.036","title":"Sericin/poly(vinyl alcohol) blend membranes for pervaporation separation of ethanol/water mixtures","year":2007,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Pervaporation; Membrane; Permeation; Vinyl alcohol; Sorption; Chemical engineering; Chemistry; Desorption; Membrane technology; Chromatography; Polymer chemistry; Adsorption; Materials science; Organic chemistry; Polymer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001719927,0.0001246206,0.0002549169,0.0002617941,0.0001014807,0.00004649098,0.0002390119,0.00005845963,0.00002125454],"category_scores_gemma":[0.0001743304,0.00009002636,0.00007172537,0.0002559983,0.0001347639,0.0009937874,0.00001397655,0.00008550597,0.000001888352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004543488,"about_ca_system_score_gemma":0.00004131476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004694916,"about_ca_topic_score_gemma":0.000005554408,"domain_scores_codex":[0.9985989,0.00001569283,0.000580169,0.0001168771,0.0003963845,0.0002919682],"domain_scores_gemma":[0.999148,0.00009557664,0.000197831,0.0001280432,0.0003348317,0.00009574323],"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":[0.00005988877,0.0000115634,0.00001352772,0.0001442527,0.000008887214,0.000003614904,0.0003815833,0.09883633,0.8992932,0.00007856992,0.00002173707,0.001146857],"study_design_scores_gemma":[0.0003712568,0.0001073772,0.0002269276,0.00005391151,0.00001966755,0.00007502163,0.00007576146,0.002620724,0.9949213,0.0002993105,0.001117118,0.0001116485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963385,0.0003136221,0.03423892,0.00007722063,0.001160339,0.00009094951,0.000003997053,0.00003346432,0.0006964243],"genre_scores_gemma":[0.9905162,0.00009070386,0.008970923,0.00002875511,0.0002756887,0.000001123569,0.000002511084,0.00001562606,0.00009846281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0962156,"threshold_uncertainty_score":0.3671168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174288274985011,"score_gpt":0.2934327904984075,"score_spread":0.2716899077485574,"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."}}