{"id":"W4205593700","doi":"10.3138/jvme-2021-0116","title":"Specifications Grading for Veterinary Medicine","year":2022,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grading (engineering); Spec#; Cheating; Mathematics education; Medical education; Computer science; Psychology; Engineering; Medicine","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":[0.00984424,0.0009194416,0.0006989441,0.005045237,0.001461763,0.004108489,0.002307394,0.00132793,0.1117362],"category_scores_gemma":[0.06842467,0.00057601,0.0008269721,0.00528055,0.001081787,0.002741225,0.002832033,0.002794548,0.06532329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003565625,"about_ca_system_score_gemma":0.005949614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493567,"about_ca_topic_score_gemma":0.005817044,"domain_scores_codex":[0.9868035,0.00380062,0.002364604,0.0007008025,0.005904983,0.0004255709],"domain_scores_gemma":[0.9551158,0.01048708,0.003831451,0.004440845,0.02452321,0.001601636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001035153,0.00008873712,0.001229167,0.0006230039,0.00001027158,0.00009711019,0.0003916987,0.0008431003,0.001714432,0.03480027,0.3845432,0.5755554],"study_design_scores_gemma":[0.0000246417,0.000151724,0.002840558,0.0006550231,0.000008525986,0.0004024849,0.0002323425,0.002301765,0.001410603,0.02334827,0.9685828,0.00004135126],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008527778,0.005820678,0.5069408,0.0136934,0.0113487,0.004439214,0.01094699,0.02545962,0.4128228],"genre_scores_gemma":[0.05262524,0.005791657,0.7242624,0.002777283,0.001829616,0.003695082,0.01568008,0.006616945,0.1867217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1117362,"threshold_uncertainty_score":0.373795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4115614590825369,"score_gpt":0.5357603272252899,"score_spread":0.1241988681427529,"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."}}