{"id":"W4233150484","doi":"10.1515/iupac.79.2105","title":"Teratogenicity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics","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":[0.001593719,0.001801325,0.002104886,0.004649837,0.0008174489,0.002555334,0.002711856,0.001928133,0.09319199],"category_scores_gemma":[0.01065683,0.0006862408,0.002393542,0.005792654,0.0004039969,0.001441284,0.001757416,0.001914978,0.07154225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702697,"about_ca_system_score_gemma":0.00334432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546416,"about_ca_topic_score_gemma":0.03001963,"domain_scores_codex":[0.9981109,0.0002959302,0.0004269978,0.0005356365,0.0004724447,0.0001580062],"domain_scores_gemma":[0.9944864,0.001736728,0.001082523,0.001055475,0.00135429,0.0002845904],"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":[0.0004774005,0.00005371695,0.005233505,0.007882321,0.000255266,0.00008904058,0.00004626343,0.0005155188,0.0004731636,0.001168549,0.9676388,0.01616638],"study_design_scores_gemma":[0.0003948111,0.00003891671,0.009371333,0.001638942,0.0002195592,0.000230541,0.00004451206,0.0001602372,0.0004563073,0.001112877,0.9862926,0.00003939622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001479699,0.0003828683,0.00007727,0.00004909347,0.00002112992,0.0000253808,0.9981714,0.0001060119,0.001018855],"genre_scores_gemma":[0.0005901718,0.0004223234,0.0003662228,0.0001360641,0.00001200776,0.0001387933,0.9970789,0.00003961852,0.001215862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09319199,"threshold_uncertainty_score":0.3117582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346570753219485,"score_gpt":0.3871070395796561,"score_spread":0.3736413320474612,"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."}}