{"id":"W4249246120","doi":"10.1515/iupac.76.0257","title":"Internal Dose","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Toxicology; Computer science; Medicine; Chemistry; Pharmacology; Data mining; Biology; Linguistics; Philosophy","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":[0.001322869,0.001256359,0.001364324,0.002747163,0.0005234291,0.002320733,0.002014549,0.001379007,0.2022013],"category_scores_gemma":[0.0137813,0.000497867,0.001664344,0.004114921,0.0002835571,0.001930143,0.001438437,0.001590874,0.1527461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483684,"about_ca_system_score_gemma":0.002021785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009133747,"about_ca_topic_score_gemma":0.01389025,"domain_scores_codex":[0.9982882,0.000284854,0.0003403604,0.0005747606,0.000409814,0.0001019075],"domain_scores_gemma":[0.9950116,0.00175541,0.0006635469,0.001096889,0.001271088,0.0002015881],"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":[0.0002539102,0.00003990739,0.00222868,0.002101384,0.00007355447,0.00002844252,0.00002586487,0.0003866906,0.0001300308,0.0008792003,0.9674466,0.0264056],"study_design_scores_gemma":[0.0001598085,0.00003092135,0.004740252,0.0007711902,0.0000613194,0.00008942663,0.00003761282,0.0002035982,0.0002721947,0.001875468,0.9917317,0.00002644213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002104222,0.0003670611,0.0002429329,0.0001301806,0.00005566687,0.00004791815,0.9939436,0.0004343147,0.004567903],"genre_scores_gemma":[0.001508207,0.0005596414,0.0009922658,0.0004140673,0.00004248347,0.0003103461,0.9905268,0.0002176252,0.005428645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2022013,"threshold_uncertainty_score":0.6764308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009603175975610261,"score_gpt":0.354995983812409,"score_spread":0.3453928078367987,"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."}}