{"id":"W2269981638","doi":"10.3138/jvme.0115-005r1","title":"Does Mathematical Precision Ensure Valid Grades? What Every Veterinary Medical Educator Should Know","year":2015,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grading (engineering); Underpinning; Variety (cybernetics); Medical education; Mathematics education; Computer science; Veterinary medicine; Psychology; Medicine; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006122876,0.0002349273,0.0004548331,0.0002752666,0.0002601427,0.0002405108,0.0009013473,0.000489476,0.005864664],"category_scores_gemma":[0.006976848,0.0001538664,0.0002173984,0.0003499455,0.0004445273,0.001584895,0.0001267911,0.0008078967,0.0001017807],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004590673,"about_ca_system_score_gemma":0.01915406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009714982,"about_ca_topic_score_gemma":0.00002971284,"domain_scores_codex":[0.993128,0.001107487,0.001014796,0.000280595,0.004040643,0.0004284567],"domain_scores_gemma":[0.9953077,0.001082525,0.0005319847,0.0002623688,0.0007796432,0.002035717],"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":[0.001130144,0.01039596,0.01119674,0.0003977426,0.0002560597,0.0004620931,0.06282594,0.000002992691,0.000259675,0.01384415,0.2522298,0.6469986],"study_design_scores_gemma":[0.0008559584,0.001889628,0.00465438,0.001968254,0.00008849057,0.001613255,0.05928107,0.00005201381,0.00002155219,0.02401124,0.9051606,0.0004035528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865419,0.002261951,0.0002474774,0.09000058,0.01805699,0.0002432069,0.000001778946,0.00003476971,0.002611356],"genre_scores_gemma":[0.9796509,0.003693799,0.002405789,0.002091854,0.009395543,0.0000363367,0.00002056923,0.0000339102,0.002671322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6529307,"threshold_uncertainty_score":0.9950441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.24144669521794,"score_gpt":0.5113476435659294,"score_spread":0.2699009483479894,"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."}}