{"id":"W4245306158","doi":"10.1515/iupac.79.1580","title":"Maximum Permissible Daily Dose","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; Hazard; Toxicology; Computer science; Chemistry; Biology; Philosophy; 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":[0.001318961,0.001191786,0.001727201,0.002564669,0.0004041782,0.001775601,0.002087156,0.001040168,0.07528409],"category_scores_gemma":[0.00861528,0.0004046439,0.001569388,0.004562565,0.0002883059,0.00143188,0.000829862,0.001541751,0.06024703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416312,"about_ca_system_score_gemma":0.001552473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01497989,"about_ca_topic_score_gemma":0.0192887,"domain_scores_codex":[0.998704,0.0002426553,0.0002909293,0.0003907131,0.0002962439,0.0000754471],"domain_scores_gemma":[0.9974465,0.0008351209,0.0004488427,0.0003944285,0.0007361634,0.0001388748],"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":[0.0004437076,0.00005313983,0.004345671,0.002602218,0.0001979594,0.00003547946,0.00002197525,0.0008518316,0.0001733525,0.0009388149,0.969909,0.02042693],"study_design_scores_gemma":[0.0004411171,0.00007743252,0.01402452,0.0008518647,0.000153064,0.0001697327,0.00005882071,0.0006646586,0.0004290869,0.002362376,0.9807125,0.00005479741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000248426,0.0003212322,0.0001470603,0.00008475129,0.00004407317,0.00002485923,0.9974266,0.0001511109,0.001551951],"genre_scores_gemma":[0.002303168,0.0006042536,0.000632353,0.0002599124,0.00003487095,0.0001654518,0.9938644,0.00007949115,0.002056216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07528409,"threshold_uncertainty_score":0.2518504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640678553647079,"score_gpt":0.3840217849931259,"score_spread":0.3676149994566552,"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."}}