{"id":"W2751874034","doi":"10.3138/jvme.0316-065r1","title":"Curriculum Redesign in Veterinary Medicine: Part I","year":2017,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carnegie Foundation for the Advancement of Teaching; U.S. Department of Energy","keywords":"Curriculum; Medical education; Stakeholder; Context (archaeology); Rubric; Excellence; Process (computing); Curriculum development; Creativity; Syllabus; Medicine; Sociology; Computer science; Psychology; Pedagogy; Political science; Public relations","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003643224,0.0001935402,0.0005116847,0.0002939995,0.0009643669,0.00002348665,0.0007135157,0.0002380758,0.004081622],"category_scores_gemma":[0.00976763,0.0001492233,0.00008856771,0.0001324821,0.0002701174,0.0009783559,0.0002038272,0.001178911,0.0001603718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002599238,"about_ca_system_score_gemma":0.002556956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003560613,"about_ca_topic_score_gemma":0.00001432241,"domain_scores_codex":[0.9963552,0.0009278967,0.001376876,0.0002182775,0.0007183907,0.0004033159],"domain_scores_gemma":[0.996231,0.0004968611,0.001819176,0.0005533549,0.0004742416,0.0004254131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001278584,0.003597777,0.2322043,0.0009411863,0.000159746,0.0009601186,0.01892691,0.00000148007,0.001489064,0.000918522,0.6514973,0.08802503],"study_design_scores_gemma":[0.001884028,0.003666712,0.1531464,0.003696562,0.00005121629,0.001534268,0.02725188,0.00003226755,0.000001506892,0.0004535512,0.8080633,0.0002183227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341401,0.001009698,0.00003992624,0.03907014,0.01349651,0.0002462664,7.811301e-7,0.00001168693,0.01198491],"genre_scores_gemma":[0.9881354,0.002705284,0.0006064461,0.001904947,0.004731724,0.0000796427,0.00000487885,0.00002335455,0.001808314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.156566,"threshold_uncertainty_score":0.9985735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4919403518639172,"score_gpt":0.5916429719781597,"score_spread":0.09970262011424258,"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."}}