{"id":"W4239611289","doi":"10.1515/iupac.79.1587","title":"Maximum Tolerated Dose (MTD)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Hazard; Computer science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001581826,0.001141177,0.002613018,0.002492198,0.0003561745,0.001709004,0.002142776,0.001238412,0.05523769],"category_scores_gemma":[0.01034735,0.0004045287,0.00240214,0.003759205,0.0002963075,0.001586667,0.0007426522,0.002345942,0.0263378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883253,"about_ca_system_score_gemma":0.001510032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008481032,"about_ca_topic_score_gemma":0.01238305,"domain_scores_codex":[0.9986111,0.0002722906,0.0003511575,0.0003685719,0.0003000043,0.0000969058],"domain_scores_gemma":[0.9962925,0.00137068,0.0008123122,0.0005252398,0.0008251574,0.0001739933],"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":[0.002587721,0.0001418467,0.01027534,0.01044541,0.001303967,0.0001319341,0.00005813799,0.00334388,0.0004971576,0.001901494,0.9031733,0.06613979],"study_design_scores_gemma":[0.001821897,0.0003828727,0.02809968,0.002953335,0.0009677607,0.0006977163,0.00007578107,0.00126834,0.0009713835,0.007655165,0.9549981,0.0001078379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00110647,0.002618296,0.0005660745,0.0002372117,0.0001012052,0.0001280705,0.9900609,0.0002655601,0.004916309],"genre_scores_gemma":[0.009649929,0.002955487,0.001476286,0.00109392,0.00009841818,0.0006185706,0.9797189,0.0002088594,0.004179657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9447623,"threshold_uncertainty_score":0.1847885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128805212490874,"score_gpt":0.3756922389225381,"score_spread":0.3644041867976294,"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."}}