{"id":"W4365147063","doi":"10.1515/iupac.94.0808","title":"Retrocycloaddition","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); Computer science; Epistemology; Chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001067554,0.003297534,0.002010661,0.00292927,0.001768496,0.003680778,0.004163926,0.002452155,0.1023172],"category_scores_gemma":[0.004456877,0.000714548,0.002715111,0.003758401,0.0007018038,0.002494247,0.00237189,0.003144499,0.1788965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588435,"about_ca_system_score_gemma":0.002716298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942211,"about_ca_topic_score_gemma":0.0524032,"domain_scores_codex":[0.9983869,0.0002309065,0.0001864142,0.0006333553,0.0003356332,0.0002269023],"domain_scores_gemma":[0.9980932,0.00035634,0.0001283994,0.0008921079,0.0004027408,0.0001272155],"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":[0.0001901152,0.00005697219,0.0008020717,0.0008588716,0.00003736046,0.00004187478,0.00001911645,0.0004780762,0.0004495584,0.0009780892,0.988543,0.007544992],"study_design_scores_gemma":[0.0002176947,0.00005259448,0.002496187,0.0003310552,0.00004189121,0.0001346204,0.00006449463,0.001023055,0.001439888,0.002666748,0.9914785,0.00005321277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007099605,0.0004449996,0.0003814956,0.000111911,0.0001405568,0.00005748821,0.9917437,0.002217915,0.004191952],"genre_scores_gemma":[0.0005873871,0.0001365644,0.0006532158,0.0001023547,0.00001329434,0.00009731452,0.9966905,0.0001960298,0.001523204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8976828,"threshold_uncertainty_score":0.3422852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175031252683137,"score_gpt":0.4176667895180841,"score_spread":0.3959164769912527,"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."}}