{"id":"W2951933685","doi":"10.1002/chin.201534283","title":"ChemInform Abstract: An Iron Catalyst for Asymmetric Alkene Hydrosilylation","year":2015,"lang":"en","type":"article","venue":"ChemInform","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Hydrosilylation; Chemistry; Alkene; Catalysis; 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":[0.000537395,0.0007005238,0.0003795861,0.001063382,0.0002860522,0.0008086367,0.000800973,0.001293492,0.009806187],"category_scores_gemma":[0.0006368628,0.0002602341,0.0002428878,0.0008942931,0.0004823506,0.001201846,0.0006349942,0.001825104,0.005974666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081021,"about_ca_system_score_gemma":0.00106992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903296,"about_ca_topic_score_gemma":0.003023873,"domain_scores_codex":[0.9997918,0.00002083859,0.0000137007,0.00003647303,0.0000974526,0.00003971158],"domain_scores_gemma":[0.9998428,0.00005043804,0.00001493932,0.00000930608,0.00006325159,0.00001929017],"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":[0.0002143122,0.00009708572,0.0001275771,0.006779424,0.00009494052,0.0003223644,0.0000659169,0.0006141694,0.01415086,0.02491581,0.3903584,0.562259],"study_design_scores_gemma":[0.00003598857,0.00008981528,0.000161403,0.000541972,0.00004330882,0.0002535949,0.00001427659,0.0001491356,0.0179876,0.0008906095,0.9798201,0.00001232325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004263314,0.9021491,0.002455846,0.007017586,0.01024173,0.00007186216,0.0004787695,0.0002126561,0.07310919],"genre_scores_gemma":[0.03576767,0.8986272,0.001557074,0.003858665,0.002957543,0.00004695955,0.0007573086,0.0000695772,0.05635809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009806187,"threshold_uncertainty_score":0.03280497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506654048533116,"score_gpt":0.2643530674716482,"score_spread":0.2392865269863171,"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."}}