{"id":"W2147274930","doi":"10.3138/jvme.30.4.360","title":"Non-linear, Visual-Rich Supplemental Material Designed for an Introductory Course in Veterinary Anesthesia","year":2003,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Presentation (obstetrics); Experiential learning; Hyperlink; Course (navigation); Multimedia; Computer-Assisted Instruction; Medical education; Computer science; Visual learning; Medicine; Psychology; Mathematics education; Surgery; World Wide Web; Engineering; Web page","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001238531,0.001087011,0.0005726757,0.0009622813,0.0003639795,0.0006936226,0.001077376,0.001131284,0.2773508],"category_scores_gemma":[0.007884835,0.0002366833,0.0003822595,0.0004278543,0.0002368113,0.0006125598,0.000965301,0.001199478,0.04285645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808882,"about_ca_system_score_gemma":0.0005663465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001128766,"about_ca_topic_score_gemma":0.0002576077,"domain_scores_codex":[0.9996974,0.00008448261,0.00002998851,0.00005646259,0.00008113216,0.00005048533],"domain_scores_gemma":[0.9929275,0.004272087,0.0002628945,0.0005067427,0.001206239,0.000824482],"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":[0.002003689,0.004438043,0.001307017,0.002932138,0.00001975292,0.001789797,0.0007229822,0.001402117,0.06828201,0.003236589,0.3017611,0.6121047],"study_design_scores_gemma":[0.001504743,0.01597844,0.02217406,0.001276687,0.0001215664,0.003144632,0.0008598422,0.01371011,0.04953622,0.01178234,0.8797038,0.0002075144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2561304,0.00109369,0.424016,0.007524726,0.0182391,0.03465871,0.01289653,0.04625966,0.1991812],"genre_scores_gemma":[0.2071896,0.001034369,0.4550959,0.00286681,0.001541512,0.01535528,0.008024564,0.00229941,0.3065925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2773508,"threshold_uncertainty_score":0.9278308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508023552887501,"score_gpt":0.420811171994744,"score_spread":0.375730936465869,"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."}}