{"id":"W2952653299","doi":"10.1002/ca.23425","title":"How many bones? Every bone in my body","year":2019,"lang":"en","type":"article","venue":"Clinical Anatomy","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Ossicles; Sesamoid bone; Anatomy; Sternum; Human skeleton; Sacrum; Surgery; Radiography; Middle ear","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":[],"consensus_categories":[],"category_scores_codex":[0.0004302007,0.0001428586,0.0006167559,0.00009705185,0.00001500482,0.00001956301,0.0001144477,0.0002538656,0.0003283665],"category_scores_gemma":[0.0002579021,0.0001092801,0.0002603334,0.0001871387,0.00008132018,0.00009672069,0.00009454757,0.0005091096,0.0003056515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003809669,"about_ca_system_score_gemma":0.00007168378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002702781,"about_ca_topic_score_gemma":0.000007094756,"domain_scores_codex":[0.9986087,0.00004811358,0.0004999851,0.0003549519,0.000207696,0.0002805675],"domain_scores_gemma":[0.9990066,0.0002050624,0.0001064997,0.0004787417,0.00004282789,0.0001602922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001112649,0.0002778036,0.9740528,0.00007160937,0.00002550883,0.0004054682,0.00001585892,4.638562e-8,0.0001141462,0.004340065,0.00945958,0.01112581],"study_design_scores_gemma":[0.001853767,0.000282253,0.7350007,0.0001105478,0.00002723923,0.00004229914,0.00005707852,0.0002096886,0.0001476096,0.001078518,0.2610418,0.000148467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767187,0.000387727,0.0001264824,0.0147595,0.0003261879,0.0004501143,0.000002093234,0.0001634607,0.007065684],"genre_scores_gemma":[0.9668053,0.0001805819,0.001277348,0.003332359,0.0001893397,0.00001267602,0.00001018889,0.0000231027,0.02816906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2515822,"threshold_uncertainty_score":0.4456314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826840281387459,"score_gpt":0.3737921390680082,"score_spread":0.3455237362541336,"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."}}