{"id":"W4253822535","doi":"10.1515/iupac.79.1569","title":"Malignancy","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; 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":[0.001278491,0.001406749,0.001380556,0.002701477,0.0007688865,0.003002563,0.002560356,0.001601705,0.1935068],"category_scores_gemma":[0.01182089,0.0004437215,0.001964233,0.004578167,0.0002887036,0.001983267,0.001628647,0.001413835,0.1854082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564544,"about_ca_system_score_gemma":0.002811879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418091,"about_ca_topic_score_gemma":0.02592347,"domain_scores_codex":[0.9981135,0.0003144474,0.0003285678,0.0006965739,0.000347051,0.0001998912],"domain_scores_gemma":[0.9962191,0.001042347,0.0003960335,0.0009431741,0.001140643,0.0002586912],"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":[0.0001783543,0.00002168745,0.002126383,0.001122024,0.00006646259,0.00002721822,0.00001830411,0.0001663344,0.00006917234,0.0008996287,0.9840041,0.01130034],"study_design_scores_gemma":[0.0002079967,0.00002218709,0.00376919,0.0006701433,0.00006535245,0.0001077741,0.00005533056,0.0001984342,0.000174279,0.001787001,0.9929202,0.00002208505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000155814,0.000208335,0.0001367708,0.0001381342,0.00005430884,0.0000345778,0.9958831,0.0002896205,0.003099415],"genre_scores_gemma":[0.0006749443,0.000202102,0.0004143535,0.0002951026,0.00002327381,0.0001506618,0.9957022,0.0000813768,0.00245586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1935068,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139360023244402,"score_gpt":0.4512735390642447,"score_spread":0.4373375367398045,"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."}}