{"id":"W2795396633","doi":"10.1002/9783527809097.ch9","title":"Composites of Metal–Organic Frameworks (<scp>MOFs</scp>): Synthesis and Applications in Separation and Catalysis","year":2018,"lang":"en","type":"other","venue":"","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Metal-organic framework; Nanotechnology; Composite number; Materials science; Porosity; Process (computing); Computer science; Process engineering; Engineering; Chemistry; Composite material; Organic chemistry","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":[0.00009481719,0.0004733417,0.0002632102,0.0007853579,0.0003025627,0.000471224,0.0003027941,0.0003447286,0.004247159],"category_scores_gemma":[0.0001133208,0.0001286191,0.0002502894,0.0007026677,0.0001371981,0.0005177716,0.0003410548,0.0003929341,0.001389961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004359325,"about_ca_system_score_gemma":0.0003484984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005983179,"about_ca_topic_score_gemma":0.001965779,"domain_scores_codex":[0.9999201,0.000003966026,0.0000043662,0.00001869147,0.00003374023,0.00001905264],"domain_scores_gemma":[0.9999813,0.000003939331,0.000004485614,0.000002043713,0.000005029503,0.000003169994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001306547,0.0001572425,0.0004814985,0.007384977,0.00005053938,0.000678665,0.0001295219,0.001465096,0.4478415,0.02594502,0.01118464,0.5045506],"study_design_scores_gemma":[0.00001004514,0.0001095629,0.0008491945,0.0002887234,0.0000370419,0.0008628611,0.00006241543,0.001441017,0.4284842,0.001929824,0.5658957,0.00002936858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2139544,0.5252568,0.03011026,0.001223276,0.001064754,0.00022119,0.001762551,0.001409069,0.2249976],"genre_scores_gemma":[0.5474904,0.3261595,0.03415226,0.0003905279,0.0002600956,0.0001608363,0.00166729,0.0002363917,0.08948258],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004247159,"threshold_uncertainty_score":0.01420814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008127696128619064,"score_gpt":0.2441941533127736,"score_spread":0.2360664571841545,"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."}}