{"id":"W4253812404","doi":"10.1515/iupac.79.1129","title":"Dermal Irritation","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; CAS Registry Number; Computer science; Toxicology; Medicine; 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":[0.001104885,0.001603535,0.001717046,0.002852731,0.0005239767,0.001805437,0.001741901,0.001407751,0.09296694],"category_scores_gemma":[0.009908603,0.0004246736,0.002506587,0.003207183,0.000288694,0.00135037,0.001490926,0.001219334,0.05344398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207868,"about_ca_system_score_gemma":0.001490848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059714,"about_ca_topic_score_gemma":0.02454555,"domain_scores_codex":[0.9983526,0.0002562958,0.0004642724,0.0004673625,0.0003371252,0.0001223415],"domain_scores_gemma":[0.9952936,0.001560155,0.001100999,0.0007734494,0.001094231,0.0001776065],"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":[0.0007826624,0.00007156164,0.008660595,0.01285792,0.0003891157,0.00009953483,0.00003777995,0.0004685236,0.000422172,0.000464044,0.9470963,0.02864986],"study_design_scores_gemma":[0.0008083999,0.0001176079,0.04157329,0.004587206,0.0005559918,0.0006575721,0.0001176148,0.0005458554,0.0008179478,0.001723758,0.9484096,0.00008518026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003702054,0.0007372127,0.0001011369,0.00006105034,0.00003622067,0.00006366523,0.9965841,0.0001210803,0.001925478],"genre_scores_gemma":[0.002179897,0.0008157877,0.0005016024,0.0002422228,0.00003026617,0.0003137679,0.9935496,0.00004207748,0.002324742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09296694,"threshold_uncertainty_score":0.3110054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005630252771038765,"score_gpt":0.3283623110280151,"score_spread":0.3227320582569763,"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."}}