{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005627206,0.001382843,0.001163889,0.002869076,0.0005107523,0.002243207,0.001417229,0.001259988,0.08064751],"category_scores_gemma":[0.004622876,0.0004918145,0.001214392,0.003943445,0.0002983544,0.001465979,0.001382707,0.001403993,0.07594129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009772163,"about_ca_system_score_gemma":0.001507433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088055,"about_ca_topic_score_gemma":0.02454542,"domain_scores_codex":[0.9992594,0.00008925904,0.000180861,0.0002363484,0.0001548646,0.00007923902],"domain_scores_gemma":[0.9976498,0.0007593516,0.0005365596,0.0004496127,0.0004642361,0.0001403706],"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":[0.000552887,0.00003747721,0.005047198,0.006661031,0.0001308341,0.0001006966,0.00004714901,0.0005216051,0.0006257752,0.001092329,0.9642555,0.02092764],"study_design_scores_gemma":[0.0002252992,0.00003283936,0.01195617,0.001256622,0.00007749668,0.0002368166,0.00005564953,0.0002287845,0.0004664616,0.001466698,0.9839637,0.00003365623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002338152,0.0004715144,0.00007575147,0.00006267985,0.00003774343,0.00001523084,0.9973065,0.000154773,0.001642096],"genre_scores_gemma":[0.001058008,0.000535496,0.0004052352,0.00013261,0.00001817653,0.00008381368,0.9962468,0.00005007589,0.001469882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08064751,"threshold_uncertainty_score":0.2697928,"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."}}