{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002157142,0.0007181342,0.001831066,0.001302985,0.00003564866,0.00004571303,0.0003575064,0.0009542293,0.0001811687],"category_scores_gemma":[0.0000143565,0.0005983349,0.0003876844,0.001620712,0.00005508497,0.0001317007,0.00002110593,0.000923228,0.001073794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278212,"about_ca_system_score_gemma":0.000101411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001495132,"about_ca_topic_score_gemma":0.000207565,"domain_scores_codex":[0.9978561,0.0000554435,0.000867448,0.0005530327,0.0002340493,0.000433886],"domain_scores_gemma":[0.9992608,0.00005202408,0.00006492691,0.0005137526,0.00002477502,0.00008375546],"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":[0.00001416221,0.000125558,0.000004301635,0.4186186,0.0009573416,0.001268701,0.0009329171,0.01415106,0.0002141281,0.002308195,0.009817982,0.551587],"study_design_scores_gemma":[0.0001248251,0.000009415075,4.255506e-7,0.005734912,0.0004958614,0.00009139739,0.0000144503,0.0005010995,0.0001847602,0.00004058212,0.9922334,0.0005688877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002105739,0.9744647,0.00001414141,0.00008674149,0.001217349,0.000761584,0.00006513396,0.001455241,0.02191401],"genre_scores_gemma":[0.0007940456,0.99472,0.00004491461,0.00002654334,0.0001882317,0.0003233232,0.0003805759,0.0001786071,0.003343754],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9824154,"threshold_uncertainty_score":0.999704,"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."}}