{"id":"W2058680760","doi":"10.1038/nchem.1133","title":"A stereochemical sojourn","year":2011,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Computational 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000578312,0.0001071662,0.00008157337,0.00001836801,0.00001646782,0.000005985141,0.0001448676,0.000351834,0.0004340305],"category_scores_gemma":[0.00001551417,0.0001052544,0.00002771683,0.000194287,0.00003636272,0.00004703349,0.00002187059,0.000635753,0.00001607984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005432994,"about_ca_system_score_gemma":0.00001010853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.357279e-7,"about_ca_topic_score_gemma":6.822699e-9,"domain_scores_codex":[0.9995408,0.000001194324,0.0001326161,0.0001041927,0.0000796173,0.0001415797],"domain_scores_gemma":[0.9997138,0.000003951503,0.00001796751,0.000173188,0.00006631109,0.00002478929],"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":[0.000003513816,0.00001030715,0.0001067546,0.00004981077,0.00001409817,0.000006009162,0.00007823379,3.898137e-8,0.9623829,0.0004779396,0.03545729,0.001413113],"study_design_scores_gemma":[0.00008468116,0.000002343416,0.00009447377,0.00001561305,0.000003818373,0.00002908611,0.00002476638,0.00002518787,0.9826854,0.0007595795,0.01615246,0.0001225892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4784444,0.00111006,0.03018478,0.0000325588,0.0002775047,0.00009065889,0.00001708067,0.001206009,0.488637],"genre_scores_gemma":[0.9975983,0.000005832037,0.001768728,0.0001018393,0.0001228677,0.000007772821,0.00003560454,0.0000204499,0.0003385961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.519154,"threshold_uncertainty_score":0.4752329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009630830593938525,"score_gpt":0.2115498778674812,"score_spread":0.2019190472735427,"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."}}