{"id":"W2942473156","doi":"10.1016/j.scitotenv.2019.04.290","title":"Highly permeable tubular silicalite-1 membranes for CO2 capture","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Membrane; Materials science; Chemical engineering; Chemistry; Engineering","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":[0.0003550739,0.00009655105,0.0001118521,0.00001948025,0.0001099871,0.00001531838,0.0004515239,0.00002884601,0.0002483987],"category_scores_gemma":[0.000006314309,0.0000531833,0.00008277955,0.0001054487,0.0003159887,0.00009550644,0.00003448416,0.00007352344,0.00007934863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004219414,"about_ca_system_score_gemma":0.00001633374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049256,"about_ca_topic_score_gemma":3.282787e-7,"domain_scores_codex":[0.9991307,0.00001037711,0.0001477267,0.0001478291,0.0003566794,0.0002066917],"domain_scores_gemma":[0.9994252,0.00002722926,0.00002785941,0.000468042,0.000006585318,0.00004512969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005222216,0.0000101949,0.000007880312,0.00004016367,0.000005796518,5.733471e-8,0.0002644746,0.6386173,0.3604736,0.0004796608,0.00006655888,0.00002910669],"study_design_scores_gemma":[0.0005280378,0.00006574776,0.004419641,0.00002728123,0.00004497981,0.0000103308,0.0002478795,0.2216896,0.7622514,0.0004094444,0.01005912,0.0002464831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947578,0.0001813817,0.00008943613,0.0006926197,0.0003101335,0.0004705641,0.00001386056,0.00002628653,0.003457961],"genre_scores_gemma":[0.9954543,0.00003229141,0.0001158561,0.0000339689,0.00001890343,0.00001538378,0.000001574087,0.000009907655,0.00431783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4169276,"threshold_uncertainty_score":0.2719792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006705222145398746,"score_gpt":0.1890327118658599,"score_spread":0.1823274897204611,"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."}}