{"id":"W3009513072","doi":"10.3138/jvme.0418-045r","title":"Using the Digital Platform ExamSoft in Veterinary Anatomy and Parasitology Assessments in Written and Laboratory Components","year":2020,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grading (engineering); Veterinary parasitology; Standardization; Medical education; Test (biology); Process (computing); Computer science; Medical physics; Veterinary medicine; Medicine; Engineering; Biology","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":[0.005225918,0.0008204795,0.0003987675,0.001735551,0.0005508153,0.002278961,0.0009605157,0.0005907867,0.02125306],"category_scores_gemma":[0.02167129,0.0003867419,0.0005103252,0.001149014,0.0004161476,0.001894405,0.003071841,0.00132766,0.008442086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006756516,"about_ca_system_score_gemma":0.001535773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000590409,"about_ca_topic_score_gemma":0.001690506,"domain_scores_codex":[0.9968628,0.001244708,0.0002676843,0.0004754307,0.0009024301,0.0002468908],"domain_scores_gemma":[0.9844396,0.006508057,0.001230264,0.002103276,0.003415763,0.002303114],"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":[0.0007003642,0.00235278,0.03362038,0.0003264687,0.00002428969,0.0005084446,0.002795581,0.001688891,0.0171037,0.001797255,0.03702305,0.9020588],"study_design_scores_gemma":[0.0004581533,0.01007298,0.2945915,0.001638327,0.0001304675,0.003996849,0.006507087,0.02764522,0.07967394,0.01748548,0.557252,0.0005478553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6354879,0.0008798225,0.2255156,0.005090996,0.001305614,0.003337276,0.004346247,0.0277501,0.09628658],"genre_scores_gemma":[0.6573627,0.0006525639,0.2932766,0.001275964,0.0001947125,0.001632232,0.002192654,0.001531172,0.04188133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02125306,"threshold_uncertainty_score":0.07109851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472560376084991,"score_gpt":0.4763066550117301,"score_spread":0.329050617403231,"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."}}