{"id":"W4253691899","doi":"10.1515/iupac.79.0834","title":"Antimuscarinic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001361435,0.000287489,0.0002913863,0.00001728749,0.00004572877,0.00001975664,0.0004430362,0.0002783887,0.0375911],"category_scores_gemma":[0.000130546,0.000224152,0.0001198128,0.0001122523,0.0001440439,0.00005911457,0.0003744276,0.0003437102,0.0000246921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421513,"about_ca_system_score_gemma":0.00003992592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000467986,"about_ca_topic_score_gemma":0.0000415634,"domain_scores_codex":[0.9983488,0.000008473628,0.0002439547,0.0004114305,0.0006487761,0.0003385759],"domain_scores_gemma":[0.9991163,0.00003934206,0.00008262891,0.0005824452,0.00001317251,0.0001661371],"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":[0.00001480849,0.00005773422,0.00001119707,0.00004460301,0.00001635378,0.00002582706,0.000001387291,0.000018941,0.001609814,2.337426e-7,0.996724,0.001475084],"study_design_scores_gemma":[0.0002703123,0.00002045429,0.00002167679,0.0001052493,0.00003051224,0.00001142052,0.000001486495,0.000009292222,0.001535727,0.00003219962,0.9976422,0.0003195283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006759029,0.00006603203,0.00005116222,0.0001184591,0.0002073116,0.00006468698,0.9979623,0.00005717877,0.0007969973],"genre_scores_gemma":[0.0002529824,0.0002146806,0.00002879779,0.0001006373,0.000383052,0.00000504285,0.9982419,0.00002140136,0.0007514943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03756641,"threshold_uncertainty_score":0.9632887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005930550451228722,"score_gpt":0.329141757463,"score_spread":0.3232112070117713,"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."}}