{"id":"W4253731102","doi":"10.1515/iupac.87.0477","title":"Noradrenalin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Engineering ethics; Chemistry; Linguistics; Engineering; Philosophy; Organic chemistry; Data mining","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004258268,0.0004815024,0.0005862705,0.0001704529,0.0001256249,0.0000644279,0.0005944613,0.0002657346,0.006354206],"category_scores_gemma":[0.0007788008,0.0003438775,0.0001966505,0.0001221777,0.0001716218,0.00008545889,0.0002637958,0.0005260043,0.00003262426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002306598,"about_ca_system_score_gemma":0.000343908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002116294,"about_ca_topic_score_gemma":0.0001075703,"domain_scores_codex":[0.9974858,0.0001291896,0.0004583072,0.0006068517,0.0008677067,0.0004521585],"domain_scores_gemma":[0.9982272,0.0002152455,0.0003321878,0.0007341125,0.0003275528,0.000163715],"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":[0.0004751044,0.00015784,0.00001291856,0.0001035435,0.0001038688,0.0007116485,0.000008798624,1.223855e-7,0.00005155665,0.00001095077,0.9950128,0.003350813],"study_design_scores_gemma":[0.000590663,0.001200798,0.00005782358,0.0007710132,0.00006891666,0.0001347448,0.00001441667,0.000004321554,0.00001101356,0.0002368782,0.9964272,0.0004822385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001271481,0.0005727125,0.0001033148,0.0002582057,0.0006397794,0.0001554081,0.9965852,0.0001883894,0.0002254369],"genre_scores_gemma":[0.0002777228,0.0002702335,0.0001286568,0.0001941519,0.002354052,0.00001075696,0.9955215,0.00005805185,0.001184827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006321582,"threshold_uncertainty_score":0.9999013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09949817580261919,"score_gpt":0.5069004882231894,"score_spread":0.4074023124205702,"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."}}