{"id":"W2108315037","doi":"10.1002/anie.200705115","title":"Highly Efficient Catalyst Systems Using Iron Complexes with a Tetradentate PNNP Ligand for the Asymmetric Hydrogenation of Polar Bonds","year":2007,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":353,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ruthenium; Transfer hydrogenation; Catalysis; Ligand (biochemistry); Chemistry; Polar; Combinatorial chemistry; Asymmetric hydrogenation; Polymer chemistry; Organic chemistry; Enantioselective synthesis; Physics; Receptor","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":[],"consensus_categories":[],"category_scores_codex":[0.0004879013,0.0001952433,0.0002170355,0.000416284,0.0001752562,0.00007283021,0.0003118754,0.0001145861,0.00004023445],"category_scores_gemma":[0.0001497525,0.0001523904,0.0001340136,0.0007356504,0.0001031518,0.0001641864,0.00003905021,0.0001280327,0.000004156582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003621472,"about_ca_system_score_gemma":0.000051103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003169377,"about_ca_topic_score_gemma":0.00002467986,"domain_scores_codex":[0.9980771,0.00000746441,0.0005174476,0.000303635,0.0008522953,0.0002420575],"domain_scores_gemma":[0.9983242,0.0003914847,0.0004996753,0.0002284821,0.0004768154,0.00007933809],"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":[0.0003315046,0.0004281868,0.001743584,0.0002732787,0.0007214461,0.00001158604,0.0005568595,0.009869537,0.9816799,0.001262412,0.001376502,0.001745202],"study_design_scores_gemma":[0.001042797,0.00003179905,0.0002321391,0.00006660796,0.000181066,0.00005138386,0.000773366,0.01887525,0.9750119,0.00001755684,0.003528652,0.0001875066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000495,0.0009580863,0.09091397,0.0003009601,0.0006682417,0.000345078,0.0006891923,0.00008626618,0.005988691],"genre_scores_gemma":[0.9970551,0.00002936087,0.0002048687,0.00004317244,0.0007929479,0.00003771661,0.001482066,0.0000299919,0.0003248191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09700555,"threshold_uncertainty_score":0.62143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649919627672287,"score_gpt":0.2608374648677119,"score_spread":0.244338268590989,"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."}}