{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006539226,0.0002464282,0.0001225148,0.0001753315,0.00008265882,0.0001773038,0.0002002965,0.0002604081,0.0009477703],"category_scores_gemma":[0.0001002351,0.0001755458,0.0001798269,0.00007692455,0.0001393243,0.0002296026,0.0001953222,0.0002145383,0.0003495662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728054,"about_ca_system_score_gemma":0.000103454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139282,"about_ca_topic_score_gemma":0.0009217967,"domain_scores_codex":[0.9999511,0.000003667669,0.000003664949,0.000008417794,0.00001659361,0.0000165225],"domain_scores_gemma":[0.9999487,0.0000073456,0.00002181575,0.000004683052,0.000008200715,0.000009237271],"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":[0.00001615457,0.000006369546,0.00006106748,0.00004678323,0.000004361827,0.00005960622,0.000007789364,0.0002108978,0.9979663,0.0001736231,0.00004319547,0.001403751],"study_design_scores_gemma":[0.00001557725,0.00007808849,0.000557309,0.000004559497,0.000006922675,0.0001050218,0.0000134902,0.003761574,0.9927949,0.00005614594,0.002598055,0.000008372436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714466,0.001419723,0.02200537,0.0001285683,0.00007772342,0.00005041831,0.0001515077,0.0002355397,0.004484606],"genre_scores_gemma":[0.9912835,0.0004404544,0.006926259,0.00002227553,0.000007416531,0.00001644615,0.00005101483,0.00001634567,0.001236331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009477703,"threshold_uncertainty_score":0.003170609,"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."}}