{"id":"W4255347676","doi":"10.1515/iupac.76.0161","title":"Carrier Substance","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Linguistics; Biology; 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":[0.001596295,0.001266403,0.00142914,0.005457893,0.0008442626,0.003025922,0.001888373,0.001410909,0.1868483],"category_scores_gemma":[0.01259996,0.0005795297,0.001381298,0.01007067,0.0004843484,0.002430016,0.00184354,0.001614553,0.1822522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561664,"about_ca_system_score_gemma":0.003338941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210206,"about_ca_topic_score_gemma":0.01888189,"domain_scores_codex":[0.997853,0.0003763477,0.0005001293,0.0006730958,0.0004486595,0.0001488277],"domain_scores_gemma":[0.9948505,0.001853606,0.0007288708,0.0009998184,0.001270476,0.0002967458],"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":[0.0001182688,0.00002527693,0.001234101,0.002242999,0.00004150026,0.00003483851,0.0000456718,0.0001642679,0.0002326772,0.001217577,0.9832885,0.0113543],"study_design_scores_gemma":[0.00006622748,0.00001155164,0.001869075,0.0004737775,0.00002404012,0.00004387542,0.00004985696,0.00006766676,0.0001423,0.0008654358,0.9963719,0.00001428115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00014156,0.0003013311,0.0001688196,0.00006936243,0.00004766651,0.00003852803,0.9969549,0.0002042363,0.00207357],"genre_scores_gemma":[0.0004535902,0.0003392116,0.0005974474,0.0001490686,0.00002011871,0.0002430223,0.9958733,0.0001197749,0.002204476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1868483,"threshold_uncertainty_score":0.6250697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268873097857386,"score_gpt":0.3913309767898557,"score_spread":0.3644436670041171,"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."}}