{"id":"W2507034677","doi":"10.1021/bk-2014-1186.ch009","title":"Environmentally-Friendly Designs and Syntheses of Metal-Organic Frameworks (MOFs)","year":2014,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre in Green Chemistry and Catalysis; McGill University","funders":"","keywords":"Environmentally friendly; Commercialization; Metal-organic framework; Nanotechnology; Context (archaeology); Sustainability; Organic synthesis; Biochemical engineering; Engineering; Materials science; Chemistry; Business; Organic chemistry; Catalysis; Adsorption","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002245076,0.0008007903,0.001153103,0.000106488,0.0002369153,0.00009957098,0.000660915,0.001851752,0.01003181],"category_scores_gemma":[0.0001479644,0.0007748502,0.0002722903,0.00004368457,0.0007907703,0.0001632827,0.0004033211,0.001095097,0.0001688525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007910346,"about_ca_system_score_gemma":0.00006448949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000100349,"about_ca_topic_score_gemma":0.00001093003,"domain_scores_codex":[0.9972755,0.00003053802,0.0008744695,0.0008908733,0.0005073362,0.000421232],"domain_scores_gemma":[0.9967197,0.00076063,0.0007525884,0.001503339,0.00005811685,0.0002056281],"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":[0.00005204224,0.00009041769,0.00003677032,0.0006310936,0.0007396137,0.000008345394,0.0003019468,0.000005271104,0.7680673,0.2249145,0.0008720499,0.004280695],"study_design_scores_gemma":[0.0001782421,0.0001295006,0.00001161962,0.001158274,0.001189866,0.00009746537,0.0002324011,0.000009007597,0.5727251,0.01672676,0.4062449,0.001296866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009245778,0.008228096,0.005572017,0.00230318,0.0003543667,0.0007699033,0.0006870329,0.0004114919,0.9724281],"genre_scores_gemma":[0.5871063,0.009504427,0.003648887,0.0002000329,0.0005399288,0.0001260368,0.000153754,0.0004350009,0.3982856],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5778605,"threshold_uncertainty_score":0.9994702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322708085707988,"score_gpt":0.2092275455747334,"score_spread":0.1960004647176536,"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."}}