{"id":"W2737391574","doi":"10.1002/admi.201700560","title":"Engineering Elastic ZIF‐8‐Sponges for Oil–Water Separation","year":2017,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Materials science; Sponge; Melamine; Composite number; Composite material; Polymer; Layer (electronics); Chemical engineering; Nanotechnology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001256243,0.0001865602,0.0002568657,0.00002243483,0.0002642783,0.0002916637,0.0003917152,0.000114143,0.002107153],"category_scores_gemma":[0.0002859446,0.0001478046,0.00004047251,0.000009282116,0.00004264837,0.000282232,0.00009414237,0.00005999365,0.0001625639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003146788,"about_ca_system_score_gemma":0.000006734957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004775074,"about_ca_topic_score_gemma":0.000003953513,"domain_scores_codex":[0.9990504,0.000005770737,0.0002918964,0.0003061263,0.00008331663,0.0002625042],"domain_scores_gemma":[0.9990063,0.0001081532,0.0001677437,0.00062321,0.00004996437,0.0000446073],"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":[0.00004260711,0.0000196231,0.000003083327,0.000161014,0.00002881007,3.747279e-7,0.00007138716,0.0002048324,0.9944385,0.0005669895,0.00005720831,0.004405576],"study_design_scores_gemma":[0.000212917,0.00001107259,0.00002078125,0.0001575563,0.00003115894,0.000002444179,0.00003858843,0.0001294169,0.9835918,0.0005396768,0.01506865,0.0001959187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934878,0.00009334747,0.004086447,0.0003347215,0.0005562198,0.00008125971,0.0000891672,0.0001152737,0.001155765],"genre_scores_gemma":[0.9894575,0.00007703192,0.00683773,0.00001534884,0.0002659088,0.0003078496,0.00003871357,0.00004202957,0.002957867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01501145,"threshold_uncertainty_score":0.998805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556152562202575,"score_gpt":0.2867027182339246,"score_spread":0.2711411926118988,"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."}}