{"id":"W4391174347","doi":"10.3390/membranes14020030","title":"Membrane Separation Technology in Direct Air Capture","year":2024,"lang":"en","type":"review","venue":"Membranes","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Office of Energy Research and Development; Natural Resources Canada; National Research Council Canada","keywords":"Separation (statistics); Air separation; Membrane technology; Environmental science; Membrane; Chemistry; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006872962,0.001094047,0.00105865,0.002685998,0.0004335266,0.001252778,0.0008143332,0.001722438,0.003028766],"category_scores_gemma":[0.0005350717,0.0004898714,0.0008995518,0.002680117,0.0006673886,0.002649184,0.001006052,0.002107595,0.002425484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098333,"about_ca_system_score_gemma":0.0009078429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118144,"about_ca_topic_score_gemma":0.001054761,"domain_scores_codex":[0.9995503,0.00007055244,0.00003680128,0.0001085531,0.000182094,0.00005174319],"domain_scores_gemma":[0.999798,0.00008238469,0.00003515845,0.00001177324,0.00006030435,0.00001239799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009774249,0.0001904237,0.000349334,0.04586636,0.0001784407,0.0008479859,0.0002279166,0.002121338,0.05750365,0.0501815,0.02765404,0.8147812],"study_design_scores_gemma":[0.000007976669,0.0001274235,0.0004964556,0.001907116,0.00007415858,0.001547229,0.00006908511,0.0004537001,0.0149273,0.003268084,0.977085,0.00003655301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001079998,0.9909452,0.00184208,0.0003824372,0.0003867667,0.00001716921,0.0000409286,0.00002774038,0.005277706],"genre_scores_gemma":[0.007510049,0.987842,0.001365602,0.0003376164,0.0001943254,0.00003078309,0.00006374659,0.000006544031,0.002649384],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003028766,"threshold_uncertainty_score":0.01013225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197891479511421,"score_gpt":0.3040755306640332,"score_spread":0.2842863827128911,"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."}}