{"id":"W4238131632","doi":"10.1002/9780471420194.tnmc46.pub3","title":"Introductory Notes","year":2017,"lang":"en","type":"other","venue":"TNM Online","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Section (typography); Computer science; Library science; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001216988,0.0008252135,0.000548674,0.00189898,0.001340315,0.00245276,0.001262807,0.001474121,0.7339145],"category_scores_gemma":[0.01439084,0.0002824961,0.0006334571,0.001471209,0.0004156954,0.001925575,0.001723096,0.002319652,0.512312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946408,"about_ca_system_score_gemma":0.003212358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007072316,"about_ca_topic_score_gemma":0.009532092,"domain_scores_codex":[0.9991026,0.0001119833,0.00006490664,0.0001178475,0.0004843991,0.0001183369],"domain_scores_gemma":[0.9940863,0.001316878,0.0002185543,0.0003166233,0.002966057,0.001095696],"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":[0.000005590667,0.000006456332,0.00003608582,0.00002991328,3.366472e-7,0.00002226367,0.00001495045,0.00001566321,0.00001577873,0.00117434,0.9855523,0.0131264],"study_design_scores_gemma":[0.000003915284,0.000006185637,0.0001549712,0.00009887962,6.789814e-7,0.00005850819,0.00002881675,0.00001227823,0.00002069769,0.001585934,0.9980259,0.000003150222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007341259,0.003233952,0.005000392,0.06027699,0.06152302,0.0005738075,0.03227224,0.002581148,0.8338042],"genre_scores_gemma":[0.002527464,0.002542479,0.002052054,0.01179669,0.007393086,0.0002584714,0.01150971,0.0009101851,0.9610099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7339145,"threshold_uncertainty_score":0.3795387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254977758936167,"score_gpt":0.3465197900009578,"score_spread":0.3210220141073412,"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."}}