{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001140582,0.0008870394,0.0005736767,0.001653156,0.001378919,0.002514843,0.001322496,0.001436273,0.7056733],"category_scores_gemma":[0.01105583,0.0002594534,0.0006221698,0.001322368,0.000465724,0.001883387,0.001775132,0.002163422,0.4957253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981837,"about_ca_system_score_gemma":0.002949362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00630377,"about_ca_topic_score_gemma":0.008281445,"domain_scores_codex":[0.9991202,0.0001049774,0.00005615153,0.0001280976,0.0004830116,0.0001077323],"domain_scores_gemma":[0.9958214,0.0008438531,0.0001506589,0.0002543263,0.002126609,0.0008031859],"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":[0.000007449767,0.000008881578,0.00003993653,0.00003886583,4.694574e-7,0.00002527698,0.00002201501,0.00002299979,0.000029402,0.00236061,0.9789852,0.01845879],"study_design_scores_gemma":[0.000003159456,0.000006563781,0.0001248995,0.00008068712,6.746009e-7,0.00004567509,0.00002743072,0.00001289722,0.00002586233,0.001915311,0.9977538,0.00000294503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007163814,0.003625296,0.006005191,0.05078356,0.06117148,0.0004596493,0.02353314,0.002336192,0.851369],"genre_scores_gemma":[0.002599116,0.00256291,0.002211529,0.008101271,0.005908691,0.0001956697,0.008077489,0.0007596831,0.9695836],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7056733,"threshold_uncertainty_score":0.4198213,"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."}}