{"id":"W4231424214","doi":"10.1515/iupac.79.1985","title":"Sarcoma","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; Chemical nomenclature; Computer science; Toxicology; Library 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":[0.001439924,0.001743966,0.001394719,0.003302203,0.000951566,0.003246775,0.002770399,0.001921057,0.1639944],"category_scores_gemma":[0.01186768,0.0005176024,0.001864467,0.005122176,0.000340958,0.002468872,0.001938121,0.001640627,0.2157087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573529,"about_ca_system_score_gemma":0.002913013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439734,"about_ca_topic_score_gemma":0.02748624,"domain_scores_codex":[0.9977406,0.0003738094,0.0003514767,0.00084013,0.0004516064,0.0002424124],"domain_scores_gemma":[0.9958614,0.001027021,0.0003570137,0.001155539,0.001317714,0.0002814188],"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":[0.0001161993,0.0000216285,0.001343409,0.0007679528,0.00003804495,0.00002144537,0.00001730743,0.0001882809,0.00007949046,0.0006691627,0.9884065,0.008330482],"study_design_scores_gemma":[0.0001689534,0.00002278012,0.002908831,0.0004798023,0.00003929717,0.00008065056,0.0000730821,0.0003108664,0.0002140547,0.001797891,0.9938798,0.00002406643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001460617,0.0001466754,0.0001385519,0.0001221815,0.00005551522,0.00003323711,0.996711,0.0003939088,0.002252795],"genre_scores_gemma":[0.0004012116,0.0001101047,0.0004075945,0.0001745231,0.00001489626,0.0001180096,0.997118,0.00007024899,0.001585522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1639944,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013432786121678,"score_gpt":0.3491315352854598,"score_spread":0.3389972074242431,"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."}}