{"id":"W4237273614","doi":"10.1515/iupac.79.1146","title":"Dimercaprol","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Chemistry; Philosophy; Biology; 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":[0.001007605,0.002284686,0.002071915,0.002984796,0.0008239101,0.002861748,0.003239267,0.002062991,0.09364157],"category_scores_gemma":[0.00633185,0.0006514653,0.002226935,0.004538098,0.0003583417,0.001704533,0.001735551,0.001924835,0.1247728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262047,"about_ca_system_score_gemma":0.002625616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113244,"about_ca_topic_score_gemma":0.02391628,"domain_scores_codex":[0.9987299,0.00022185,0.0001983716,0.00044649,0.0002641092,0.0001393349],"domain_scores_gemma":[0.9980093,0.0005849723,0.0003297844,0.0004746052,0.0004107509,0.0001905705],"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":[0.0004517716,0.0000597693,0.001691507,0.003600473,0.0001325365,0.00004545561,0.00002196855,0.0005197267,0.0003168712,0.0006295249,0.981217,0.01131334],"study_design_scores_gemma":[0.0005198337,0.00006142889,0.003662213,0.0007238904,0.0001322511,0.0001340136,0.00003815345,0.0003779417,0.0005417889,0.001361062,0.9924097,0.00003762435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000208691,0.0004638073,0.00008992868,0.00008241788,0.00003252246,0.00002990406,0.997367,0.0003371738,0.001388591],"genre_scores_gemma":[0.0005197589,0.0003047953,0.0002966965,0.0001527778,0.00001289584,0.0001140864,0.9975824,0.00005818074,0.0009583541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09364157,"threshold_uncertainty_score":0.3132623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018913473819978,"score_gpt":0.4683736807673295,"score_spread":0.4481845460291298,"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."}}