{"id":"W2025402456","doi":"10.3138/jvme.0113-009r2","title":"From Theory to Practice: Integrating Instructional Technology into Veterinary Medical Education","year":2013,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constructivism (international relations); Coding (social sciences); Learning theory; Education theory; Instructional design; Work (physics); Teaching method; Mathematics education; Medical education; Computer science; Pedagogy; Medicine; Psychology; Higher education; Sociology; 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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007290805,0.0001725081,0.0002994547,0.0006290696,0.0004037787,0.00009451001,0.0008143572,0.000442799,0.004868164],"category_scores_gemma":[0.08163109,0.0001508396,0.0000820294,0.0008800994,0.0005095931,0.001120632,0.000158838,0.001317192,0.00008121209],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006748732,"about_ca_system_score_gemma":0.01273818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621779,"about_ca_topic_score_gemma":0.00002403374,"domain_scores_codex":[0.994522,0.00231687,0.0008928856,0.0002550274,0.001724837,0.0002883449],"domain_scores_gemma":[0.9957489,0.001179727,0.0007044234,0.0002266209,0.001475443,0.0006648633],"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":[0.000129876,0.0006173407,0.0004676167,0.00001440158,0.00004687549,0.00001847866,0.01530109,2.696262e-7,0.002543945,0.03062629,0.01165017,0.9385837],"study_design_scores_gemma":[0.0004354929,0.001552677,0.004272076,0.001024218,0.00004046294,0.001647472,0.09519235,0.00004065345,0.00007430987,0.1248471,0.7705545,0.0003186611],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612086,0.0002839057,0.02216078,0.103531,0.009170106,0.0002509125,6.267459e-7,0.00004913006,0.003344968],"genre_scores_gemma":[0.653093,0.00008106023,0.3349987,0.006215094,0.005200335,0.00007843624,0.000009579418,0.00002492845,0.0002987972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.938265,"threshold_uncertainty_score":0.9960415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05455283373818693,"score_gpt":0.4886350239110512,"score_spread":0.4340821901728643,"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."}}