{"id":"W2799990964","doi":"10.1093/neuros/nyy159","title":"Nerve Surgeons’ Assessment of the Role of Eduard Pernkopf's Atlas of Topographic and Applied Human Anatomy in Surgical Practice","year":2018,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Atlas (anatomy); Depiction; Anatomy; Visual arts","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":[0.01486637,0.0001732129,0.0001507395,0.00231398,0.001826234,0.002442012,0.0006979932,0.001064772,0.004085626],"category_scores_gemma":[0.06887148,0.0002707895,0.0001956521,0.001299223,0.002831022,0.00320753,0.002372861,0.001050662,0.0005656551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261031,"about_ca_system_score_gemma":0.006279363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007566434,"about_ca_topic_score_gemma":0.01327827,"domain_scores_codex":[0.987705,0.006919113,0.0008921543,0.0004969086,0.003339104,0.0006477446],"domain_scores_gemma":[0.9413668,0.02783148,0.01026325,0.001750238,0.01288201,0.005906172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002141252,0.0002008307,0.6028683,0.0007178276,0.00003464652,0.001783539,0.1645544,0.0009571619,0.001990773,0.005922093,0.02256385,0.1981925],"study_design_scores_gemma":[0.00002278944,0.0007919088,0.575051,0.001634927,0.00004966935,0.009732005,0.2883242,0.002485774,0.001457013,0.0025605,0.1177084,0.0001818237],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466751,0.002725796,0.002420872,0.02053761,0.0002857356,0.000103879,0.00008994028,0.00004451199,0.02711656],"genre_scores_gemma":[0.9944993,0.001385068,0.001718342,0.0009089314,0.00004151355,0.00003954249,0.00002790471,0.000008587024,0.001370742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01486637,"threshold_uncertainty_score":0.0786218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395977921089589,"score_gpt":0.2987185438008907,"score_spread":0.2747587645899949,"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."}}