{"id":"W4386761874","doi":"10.3138/jvme-2023-0043","title":"3D Digital and Printed Hearts from Different Canine Breeds as an Educational Tool for Radiographic Interpretation","year":2023,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Concordance; Radiography; Breed; Test (biology); Medicine; Radiology; Digital radiography; Medical physics; Psychology; Internal medicine; Animal science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001496061,0.0003658637,0.0002057361,0.0009607679,0.0001449428,0.0006740607,0.000449634,0.0004350087,0.004965314],"category_scores_gemma":[0.003599192,0.0001985844,0.0005471,0.0003540615,0.0003139533,0.0006363816,0.0008631616,0.0003653341,0.0008103854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686438,"about_ca_system_score_gemma":0.000225967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002787614,"about_ca_topic_score_gemma":0.0005909979,"domain_scores_codex":[0.9993005,0.0002444671,0.00003860745,0.00005598397,0.0003258897,0.00003458202],"domain_scores_gemma":[0.9978737,0.001255102,0.0001963042,0.0002085006,0.0003130534,0.0001533968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001379639,0.002778876,0.05554655,0.001354294,0.00009146478,0.003736633,0.01026176,0.00985341,0.2466484,0.002661763,0.01097909,0.6547082],"study_design_scores_gemma":[0.0006209898,0.03094166,0.3505573,0.001813924,0.0009143233,0.04222836,0.01522411,0.07267586,0.2624544,0.00598286,0.2158557,0.00073061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240369,0.0009124043,0.06141395,0.0007453421,0.0001612399,0.0003023674,0.0003876914,0.0006482054,0.01139184],"genre_scores_gemma":[0.8609926,0.001125697,0.1290884,0.0002610295,0.00006513047,0.0002100021,0.0005664614,0.0001522479,0.007538462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004965314,"threshold_uncertainty_score":0.01661062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738233844459809,"score_gpt":0.3124396658064209,"score_spread":0.2950573273618228,"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."}}