{"id":"W2475318981","doi":"10.3138/jvme.0915-152r1","title":"Approaches to Teaching Biometry and Epidemiology at Two Veterinary Schools in Germany","year":2016,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Medical education; Relevance (law); Consistency (knowledge bases); Veterinary education; Restructuring; Veterinary medicine; Quality (philosophy); German; Human medicine; Medicine; Psychology; Mathematics education; Pedagogy; Mathematics","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":[0.003662241,0.0008738801,0.000526832,0.002154052,0.003903294,0.00284074,0.001569236,0.001937062,0.00410693],"category_scores_gemma":[0.00317884,0.0007796621,0.0005946853,0.00170443,0.002042464,0.0007832689,0.004062492,0.001184235,0.0008304319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008102272,"about_ca_system_score_gemma":0.009249979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003725193,"about_ca_topic_score_gemma":0.01404796,"domain_scores_codex":[0.9959154,0.001479177,0.000194977,0.0008498168,0.0004020639,0.001158579],"domain_scores_gemma":[0.9954378,0.0006746001,0.0004397458,0.000158922,0.0003238045,0.002965097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002393683,0.01884602,0.2653019,0.003098705,0.0001904649,0.007732264,0.2116459,0.00866778,0.04773109,0.006767638,0.006249431,0.4213752],"study_design_scores_gemma":[0.0009137888,0.01288787,0.7314472,0.0009543457,0.0001972605,0.004391887,0.1443963,0.003660981,0.01970821,0.004432862,0.07661036,0.0003989492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958578,0.000464124,0.001327416,0.0006091757,0.00003839234,0.0003171512,0.00006575372,0.00003122957,0.001288961],"genre_scores_gemma":[0.9830416,0.0005741535,0.01005233,0.0003670176,0.00003487327,0.0002713354,0.0001635312,0.00001315864,0.005481975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008102272,"threshold_uncertainty_score":0.05878633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2913471786793744,"score_gpt":0.4627063373402944,"score_spread":0.17135915866092,"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."}}