{"id":"W4210317860","doi":"10.5206/uwomj.v90i1.13988","title":"Immersive Extended Reality use in Medical Education with Implications for Remote and Space Medicine Training","year":2022,"lang":"en","type":"article","venue":"University of Western Ontario Medical Journal","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modality (human–computer interaction); Inclusion (mineral); Space (punctuation); Thematic analysis; Relevance (law); Virtual reality; Medical education; Computer science; Strengths and weaknesses; Quality (philosophy); Multimedia; Medicine; Psychology; Human–computer interaction; Qualitative research; Sociology","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":[0.009803658,0.0003240445,0.0007869135,0.002714599,0.0007697304,0.004951746,0.0008236133,0.001602734,0.008764626],"category_scores_gemma":[0.03691165,0.0002451116,0.001106389,0.003381147,0.001899828,0.004303168,0.002539614,0.001134063,0.0005800361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937828,"about_ca_system_score_gemma":0.003623808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002230605,"about_ca_topic_score_gemma":0.004633673,"domain_scores_codex":[0.9899085,0.007045248,0.001042097,0.0003660184,0.001395861,0.0002422866],"domain_scores_gemma":[0.9525568,0.04181854,0.002942589,0.0005337426,0.001698695,0.0004495943],"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":[0.0002843872,0.0001144139,0.00482875,0.1411566,0.0003745153,0.000920803,0.01726854,0.0004460879,0.001184361,0.02572797,0.01491069,0.792783],"study_design_scores_gemma":[0.0001444082,0.0006512319,0.02714717,0.4224882,0.001087447,0.005773899,0.03122642,0.0004038324,0.001327368,0.01395743,0.4956682,0.0001244568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01325673,0.94849,0.002462526,0.01107158,0.001211238,0.0001379844,0.0001451054,0.0000295594,0.02319533],"genre_scores_gemma":[0.2377182,0.7442842,0.008388273,0.004725708,0.001055091,0.0003918009,0.0001120017,0.00002113963,0.003303613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009803658,"threshold_uncertainty_score":0.05184728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920325024065132,"score_gpt":0.2674041590866355,"score_spread":0.2382009088459842,"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."}}