{"id":"W2047995158","doi":"10.3138/jvme.36.1.2","title":"An Admissions System to Select Veterinary Medical Students with an Interest in Food Animals and Veterinary Public Health","year":2009,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Economic shortage; Veterinary medicine; Medical education; Medicine; Public health; Selection (genetic algorithm); Family medicine; Nursing; Government (linguistics); Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006264589,0.0003603586,0.0008100799,0.0007545743,0.0006608265,0.00009453911,0.0009369665,0.0003182686,0.0004435533],"category_scores_gemma":[0.002294562,0.000283583,0.00006398265,0.0006438026,0.00008961458,0.001260351,0.0002336395,0.001485619,0.00002134888],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079632,"about_ca_system_score_gemma":0.008435656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007644408,"about_ca_topic_score_gemma":0.00006567981,"domain_scores_codex":[0.9925491,0.00291134,0.001724634,0.0005061005,0.001502599,0.0008062042],"domain_scores_gemma":[0.9938522,0.0004483853,0.0009080388,0.0004647537,0.0004981959,0.003828403],"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":[0.02341728,0.03494196,0.09815136,0.004465139,0.0007110829,0.004461088,0.1330199,0.000007157872,0.005629308,0.002222977,0.03243057,0.6605422],"study_design_scores_gemma":[0.004045753,0.2087896,0.5609675,0.008150537,0.00004939179,0.01959338,0.08453057,0.0001432655,0.00000269887,0.00008328113,0.1129578,0.000686206],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572296,0.0008119051,0.0001408162,0.03969477,0.001231301,0.0006520525,0.000004575729,0.00006217159,0.0001728221],"genre_scores_gemma":[0.9870068,0.0005011806,0.001815643,0.009367172,0.001113966,0.00009982828,0.00001697653,0.00004074133,0.00003764652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.659856,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5019733199519372,"score_gpt":0.5855139402556817,"score_spread":0.08354062030374454,"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."}}