{"id":"W2621826262","doi":"10.1039/c7gc01078h","title":"Metal–organic frameworks meet scalable and sustainable synthesis","year":2017,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":505,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ansys (Canada); Centre in Green Chemistry and Catalysis","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metal-organic framework; Scalability; Nanotechnology; Sustainable development; Biochemical engineering; Computer science; Environmental science; Business; Materials science; Engineering; Chemistry; Organic chemistry; Political science; Database","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003659386,0.0003534876,0.0004549844,0.00002061466,0.001214199,0.0004391045,0.001036638,0.0008794317,0.01424545],"category_scores_gemma":[0.001279727,0.0003558189,0.0001445988,0.00009092432,0.0003411652,0.0002550007,0.0006135456,0.0006909836,0.00007951839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007681344,"about_ca_system_score_gemma":0.00008570027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002471367,"about_ca_topic_score_gemma":0.00000891937,"domain_scores_codex":[0.9979088,0.00001316675,0.000360875,0.0007004353,0.0003016017,0.0007151312],"domain_scores_gemma":[0.9967892,0.0002761095,0.0003474223,0.002173447,0.0001174021,0.0002964862],"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":[0.00002614273,0.0002131641,0.002914574,0.001418004,0.0003236067,0.00005502753,0.00009666391,0.000001322457,0.9736368,0.003164205,0.005008112,0.0131424],"study_design_scores_gemma":[0.0002115847,0.000002651185,0.0002671759,0.0001615991,0.0002589261,0.00004077442,0.000513198,0.0001536075,0.9655445,0.006277659,0.02607047,0.0004978434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189705,0.001625029,0.0007386999,0.003843165,0.00005936887,0.0001660091,0.0000722147,0.0003119086,0.2742132],"genre_scores_gemma":[0.958235,0.0001758146,0.001143014,0.00008234779,0.0003923782,0.0001322492,0.00001157672,0.00007810319,0.03974949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2392646,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101809924087815,"score_gpt":0.2338615024521125,"score_spread":0.2228434032112344,"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."}}