{"id":"W4389302843","doi":"10.33965/es_ml2023_202302r063","title":"\"ITERATIVE DEVELOPMENT OF AN INCLUSIVE LEARNING ENVIRONMENT FOR HUMAN ANATOMY STUDIES: FROMONLINE ENGAGEMENT WITH 3D MODELS TO VIRTUAL REALITY\"","year":2023,"lang":"en","type":"article","venue":"","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta; University of Alberta","keywords":"Affordance; Virtual reality; Computer science; Human–computer interaction; Human anatomy; Anatomy; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.007558296,0.000815919,0.0002996475,0.001199504,0.002332021,0.006021952,0.002602632,0.001867771,0.006410697],"category_scores_gemma":[0.01563218,0.000476213,0.001024642,0.0003515822,0.003907102,0.003872443,0.01689933,0.001941314,0.001835787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040305,"about_ca_system_score_gemma":0.004796179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000849278,"about_ca_topic_score_gemma":0.002142837,"domain_scores_codex":[0.9940308,0.003607877,0.0001656938,0.0004552669,0.001365763,0.0003746398],"domain_scores_gemma":[0.9941291,0.003128549,0.0002731443,0.000570124,0.0006384162,0.001260684],"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":[0.0003429303,0.002102326,0.01090305,0.001275714,0.0001070928,0.002382529,0.2987886,0.007116396,0.02462543,0.08844788,0.02177745,0.5421306],"study_design_scores_gemma":[0.000338479,0.002608252,0.01719845,0.003158062,0.0003206352,0.006582179,0.1256088,0.05129171,0.04886388,0.1398119,0.6036128,0.0006047338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2060277,0.0004895902,0.7056258,0.004255664,0.0003963523,0.001669092,0.00009901105,0.002945904,0.07849102],"genre_scores_gemma":[0.4311111,0.000634459,0.5409164,0.0008961962,0.00003609525,0.001218177,0.0002257713,0.0004470459,0.02451489],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007558296,"threshold_uncertainty_score":0.0399726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04986008636619904,"score_gpt":0.3278020403760669,"score_spread":0.2779419540098679,"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."}}