{"id":"W4246513498","doi":"10.1515/iupac.88.0565","title":"Carcinogenesis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biological Research and Disease Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001897526,0.001243578,0.001635536,0.004821387,0.0008996268,0.003197111,0.002200238,0.001691165,0.1242433],"category_scores_gemma":[0.01196047,0.0006938646,0.002284448,0.008456787,0.0004255011,0.002056012,0.002323763,0.001899502,0.09080784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750515,"about_ca_system_score_gemma":0.004284129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01654568,"about_ca_topic_score_gemma":0.02946874,"domain_scores_codex":[0.9977098,0.0003785595,0.0005375104,0.0006678369,0.0004826334,0.0002237808],"domain_scores_gemma":[0.9947599,0.001424071,0.0007292285,0.001279937,0.001559939,0.0002470168],"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":[0.0002121106,0.00002425878,0.0036634,0.00670795,0.0001563518,0.00007133406,0.00006732378,0.0003522713,0.0003280991,0.002611242,0.9591554,0.02665035],"study_design_scores_gemma":[0.00008109834,0.00001221495,0.004038037,0.001269713,0.00007235516,0.00009653526,0.00004249563,0.00007411298,0.0001966654,0.001475719,0.9926243,0.00001674705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001952434,0.0009167884,0.0002753485,0.0002096002,0.000118396,0.00004945548,0.9938164,0.0002796009,0.004139313],"genre_scores_gemma":[0.0008185571,0.001102862,0.0008255134,0.0004067555,0.00003329237,0.000162744,0.9933252,0.0001153978,0.003209572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1242433,"threshold_uncertainty_score":0.4156351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495609697157567,"score_gpt":0.4558626353612135,"score_spread":0.4309065383896378,"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."}}