{"id":"W1963422910","doi":"10.1055/s-0038-1622827","title":"Diagnostische Wertigkeit von Computertomographie und Magnetresonanztomographie für die Diagnose einer Koronoiderkrankung beim Hund","year":2010,"lang":"de","type":"article","venue":"Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003411034,0.000804808,0.0005074631,0.004257453,0.0002434017,0.0008041491,0.0003630567,0.001143563,0.001173652],"category_scores_gemma":[0.0081492,0.0003291957,0.0004445233,0.0007344686,0.0007001777,0.0006853143,0.0004635102,0.000470585,0.0006165906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298637,"about_ca_system_score_gemma":0.0002593206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004311962,"about_ca_topic_score_gemma":0.0004509234,"domain_scores_codex":[0.9987642,0.0003539882,0.000251818,0.0001953339,0.0003074615,0.0001272636],"domain_scores_gemma":[0.9975469,0.001242016,0.0005061556,0.0001063728,0.0004279045,0.0001707584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008158016,0.0001870154,0.9182734,0.0002704778,0.0001571588,0.004066808,0.0002161898,0.0008031519,0.02036112,0.0001280146,0.000326386,0.05439438],"study_design_scores_gemma":[0.00009468962,0.002353729,0.933046,0.0004926393,0.0005068774,0.04125778,0.0007623978,0.005728499,0.012534,0.0004958354,0.002656948,0.00007072372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775572,0.01617085,0.002898507,0.0003268448,0.00008374831,0.00006835521,0.0001910577,0.00006923487,0.002634082],"genre_scores_gemma":[0.994221,0.001992945,0.003386728,0.00005984502,0.00007659946,0.000023245,0.0001244165,0.000004233878,0.0001111005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004257453,"threshold_uncertainty_score":0.01803952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929945170465557,"score_gpt":0.3063999848499446,"score_spread":0.287100533145289,"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."}}