{"id":"W2006961035","doi":"10.3138/jvme.0312.020r1","title":"Outcomes Assessment of Case-Based Writing Exercises in a Veterinary Clinical Pathology Course","year":2012,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Medical education; Curriculum; Class (philosophy); Cohort; Psychology; Medicine; Computer science; Pathology; Artificial intelligence; Pedagogy","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":[0.004699242,0.0007015868,0.0005997061,0.001103783,0.0005476476,0.001082992,0.0008006968,0.0006654245,0.002668355],"category_scores_gemma":[0.02024797,0.0002245998,0.0006424831,0.0004992511,0.0003558377,0.0007145767,0.001028768,0.0009986887,0.0008813273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007082877,"about_ca_system_score_gemma":0.001147833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008734288,"about_ca_topic_score_gemma":0.001266479,"domain_scores_codex":[0.9967834,0.0008620457,0.0003495844,0.0003628685,0.00125605,0.0003859548],"domain_scores_gemma":[0.9821489,0.004162814,0.004503261,0.0007901781,0.004376072,0.004018726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008642317,0.08149,0.5678202,0.0004093677,0.0003083555,0.0008005367,0.005974661,0.003341253,0.02087295,0.0002118415,0.002066512,0.308062],"study_design_scores_gemma":[0.0003905279,0.07235066,0.9032906,0.00007062023,0.0001250347,0.0003897861,0.001801951,0.003447277,0.01602951,0.000165898,0.001844606,0.00009359552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987348,0.00002821443,0.0002771166,0.00002421633,0.00001040138,0.0001696742,0.00006021506,0.00002184454,0.0006736619],"genre_scores_gemma":[0.9971573,0.00004431936,0.0008650667,0.00002464562,0.00001365207,0.0002314532,0.0002094494,0.000006437016,0.001447691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004699242,"threshold_uncertainty_score":0.02485228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471443474795961,"score_gpt":0.5373609658844491,"score_spread":0.390216618404853,"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."}}