{"id":"W3093308315","doi":"10.1126/sciadv.abc8605","title":"Autonomous atmospheric water seeping MOF matrix","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministry of Education - Singapore","keywords":"Sorption; Matrix (chemical analysis); Chemical engineering; Environmental science; Materials science; Chemistry; Composite material; Adsorption; Organic chemistry; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002132224,0.0001070167,0.0001073238,0.000008610741,0.0003010416,0.00007070288,0.0007575144,0.00002679049,0.001652507],"category_scores_gemma":[0.0001065705,0.00007592207,0.00002572326,0.0007261864,0.001052957,0.001513605,0.0003776006,0.00008742808,0.002939639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008551277,"about_ca_system_score_gemma":0.00001752484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001572173,"about_ca_topic_score_gemma":0.000006487018,"domain_scores_codex":[0.9985352,0.00001115379,0.0001628805,0.0004684679,0.0004235925,0.0003987634],"domain_scores_gemma":[0.999594,0.0000138415,0.00004873607,0.0002228263,0.000008172182,0.0001124067],"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":[0.000007023962,0.00001374404,0.005518253,0.000009816247,0.000001253816,0.00000736159,0.001040019,0.04320703,0.8983115,0.0002142186,0.0002757457,0.05139406],"study_design_scores_gemma":[0.0001277328,0.0001054131,0.001744173,0.000004127052,0.000003124163,0.000005647681,0.0005431641,0.01251343,0.8989292,0.001491091,0.08426992,0.0002629418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748342,0.0002051424,0.003497482,0.004406683,0.0001990144,0.0002010621,0.000001121064,0.000497394,0.01615792],"genre_scores_gemma":[0.9798399,0.00001885386,0.01888273,0.0006786375,0.00002248138,0.00001150472,5.932318e-7,0.000006208501,0.0005390694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08399417,"threshold_uncertainty_score":0.9992601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117325978714486,"score_gpt":0.2604974451366472,"score_spread":0.2493241853495023,"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."}}