{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008326776,0.0003521484,0.0001655839,0.0001617903,0.0002568742,0.000267389,0.0002625568,0.0003715698,0.001654083],"category_scores_gemma":[0.0001221742,0.0001301836,0.0001774192,0.0001133761,0.0001765494,0.0003205237,0.000325335,0.0004200403,0.0005111692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002839037,"about_ca_system_score_gemma":0.0001888455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256503,"about_ca_topic_score_gemma":0.003388674,"domain_scores_codex":[0.9998953,0.000004402947,0.000002642556,0.00002978162,0.00004196418,0.00002583595],"domain_scores_gemma":[0.9999365,0.00001121132,0.00001613688,0.000006945568,0.0000152875,0.00001401362],"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":[0.00001248094,0.000006767036,0.0000897208,0.00002844126,0.000003524311,0.00004025095,0.00001535028,0.00008226548,0.9969993,0.0001495698,0.0001297092,0.002442719],"study_design_scores_gemma":[0.000005263896,0.00007720587,0.0007774532,0.000003940349,0.000005566286,0.00008038115,0.0000161105,0.001284612,0.9902301,0.00003614731,0.007475261,0.000007885956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756064,0.0007844559,0.01694942,0.0001504227,0.00006644281,0.0000791456,0.0006177215,0.0009087793,0.004837281],"genre_scores_gemma":[0.9767913,0.0006376972,0.01508912,0.000069642,0.0000163665,0.00008791048,0.000341522,0.00008614456,0.006880375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001654083,"threshold_uncertainty_score":0.005533457,"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."}}