{"id":"W4402309542","doi":"10.2139/ssrn.4948752","title":"Facilitated Transport of Gel-Like Chitosan-Based Membranes for Olefin/Paraffin Separation","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Membrane; Chitosan; Olefin fiber; Separation (statistics); Chemical engineering; Chemistry; Chromatography; Materials science; Organic chemistry; Computer science; Polymer; Engineering; Biochemistry","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005987603,0.0003657636,0.0004596922,0.0003461636,0.00008813837,0.00006558264,0.0002573041,0.0003534847,0.00004649245],"category_scores_gemma":[0.00002479438,0.0003622951,0.0003751845,0.0002037819,0.00003345575,0.000111674,0.0000125765,0.002583153,0.00001755313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000314319,"about_ca_system_score_gemma":0.002576364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001897745,"about_ca_topic_score_gemma":0.0006423029,"domain_scores_codex":[0.9975419,0.00003442347,0.0007872556,0.0003001436,0.0003121411,0.001024114],"domain_scores_gemma":[0.9993044,0.00007586928,0.0001873438,0.000203248,0.0001506884,0.00007846215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002197127,0.00009994965,0.00004166007,0.003975253,0.0008811185,0.000003595881,0.0006172009,0.9589427,0.02342638,0.006977191,0.000755786,0.004059491],"study_design_scores_gemma":[0.004158883,0.0009679871,0.0002614639,0.001265995,0.001446728,0.0003363101,0.001769998,0.5326195,0.107494,0.2797542,0.06722205,0.00270293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010907,0.04936145,0.3347566,0.001036481,0.004819438,0.001594748,0.0004599625,0.001160029,0.005720646],"genre_scores_gemma":[0.9929837,0.00477109,0.0002758573,0.00002904354,0.0002323306,0.00008870297,0.0002839359,0.00007559795,0.001259717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4263232,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164818620062796,"score_gpt":0.271204317225259,"score_spread":0.259556131024631,"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."}}