{"id":"W4247880168","doi":"10.1002/9780471420194.tnmc23.pub3","title":"Introductory Notes","year":2017,"lang":"en","type":"other","venue":"TNM Online","topic":"Bone Tumor Diagnosis and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Section (typography); Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002454595,0.0002208639,0.0004690804,0.0001158389,0.00002975385,0.000009637844,0.00009830127,0.0001542436,0.01658158],"category_scores_gemma":[0.0001446342,0.0001681092,0.0001044292,0.00002259659,0.00007268851,0.00001073934,0.00004118774,0.000177897,0.0009592531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003559627,"about_ca_system_score_gemma":0.00007657771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000295106,"about_ca_topic_score_gemma":0.0003812527,"domain_scores_codex":[0.999274,0.00000896703,0.0001022486,0.0002881678,0.0001567913,0.0001698424],"domain_scores_gemma":[0.9988931,0.00002472123,0.0001598074,0.0007966969,0.00002253907,0.000103129],"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":[0.00001236516,0.0005413662,0.002291693,0.00008145373,0.0001992332,0.0002108909,0.000005519437,7.218469e-9,0.00001365632,0.00001638322,0.9671112,0.02951625],"study_design_scores_gemma":[0.0008844307,0.0001095901,0.01099196,0.0007524401,0.0002507905,0.00002792405,0.000001249558,0.000001174009,0.00003479549,0.00001003257,0.9867994,0.0001361861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009631554,0.01111359,0.00000217723,0.003129913,0.0009836453,0.0006032024,0.003704998,0.0004124932,0.9790868],"genre_scores_gemma":[0.00119426,0.001101377,0.001344322,0.0002685683,0.003049402,0.00001901027,0.00316682,0.0003667759,0.9894894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02938006,"threshold_uncertainty_score":0.9998186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980571231207893,"score_gpt":0.330244637611279,"score_spread":0.3004389252992,"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."}}