{"id":"W4365149397","doi":"10.1515/iupac.94.0918","title":"Zaitsev Rule","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; Pure mathematics; Law","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":[0.001857031,0.002646704,0.002526491,0.003605386,0.002068756,0.005925283,0.004785481,0.002670503,0.09178554],"category_scores_gemma":[0.01078918,0.0009276253,0.003119605,0.003862974,0.0007089775,0.004246907,0.00292279,0.003939106,0.2012805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321523,"about_ca_system_score_gemma":0.003325978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01509993,"about_ca_topic_score_gemma":0.03568115,"domain_scores_codex":[0.9969597,0.0003809521,0.000388906,0.001160439,0.0007176999,0.0003923299],"domain_scores_gemma":[0.9975057,0.0005661821,0.0001029299,0.001193985,0.0005103633,0.0001208076],"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":[0.0001912557,0.0000718601,0.001360207,0.0004732375,0.00005262168,0.00005176377,0.00002583588,0.0009214458,0.0001747501,0.002736205,0.9750139,0.01892689],"study_design_scores_gemma":[0.0003167307,0.00005447074,0.00223348,0.0005003738,0.00006108385,0.0002564843,0.0001285674,0.006597742,0.001093499,0.01820813,0.9704943,0.00005519003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001984817,0.0009193488,0.003147498,0.0003662496,0.0004120791,0.0001813134,0.9603276,0.01284763,0.01981353],"genre_scores_gemma":[0.002236017,0.0002226319,0.00335145,0.000192578,0.00002639658,0.0001856253,0.9892006,0.0006433229,0.003941372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09178554,"threshold_uncertainty_score":0.3070532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325279781210273,"score_gpt":0.4240545157893957,"score_spread":0.400801717977293,"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."}}