{"id":"W4365147592","doi":"10.1515/iupac.94.0258","title":"Asymmetric Induction","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Epistemology; Computer science; Linguistics; Philosophy; Mathematics; Political science","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":[0.001855314,0.004476012,0.002012957,0.00440598,0.002209328,0.004179419,0.005099335,0.002458094,0.1434473],"category_scores_gemma":[0.009331891,0.0008678557,0.003687489,0.005507031,0.0008743239,0.003897754,0.003612033,0.00408656,0.2461952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002283212,"about_ca_system_score_gemma":0.003178988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412066,"about_ca_topic_score_gemma":0.03714796,"domain_scores_codex":[0.9971278,0.0004992961,0.0002438534,0.00100038,0.0006651434,0.0004635675],"domain_scores_gemma":[0.9962879,0.0009384936,0.0001831622,0.001630066,0.0007223619,0.0002380207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009977559,0.00005269129,0.0005382508,0.0003402333,0.00002943297,0.000028888,0.0000123364,0.0004314649,0.0001511119,0.001424674,0.9875191,0.009372009],"study_design_scores_gemma":[0.0004113061,0.00005990607,0.002753549,0.0004036218,0.00005662334,0.000279182,0.00009133217,0.004856681,0.001508859,0.01577822,0.973745,0.00005568883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008567579,0.0006283509,0.001834083,0.0003296848,0.0002619908,0.00009466292,0.9794143,0.006052074,0.01052805],"genre_scores_gemma":[0.0009641702,0.0001444247,0.00184804,0.0001510938,0.00002915869,0.0001180583,0.994159,0.0003023606,0.002283699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1434473,"threshold_uncertainty_score":0.4798788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991472995904846,"score_gpt":0.4242752219518022,"score_spread":0.3943604919927537,"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."}}