{"id":"W3217474335","doi":"10.1002/ase.2157","title":"Evaluating the integration of body donor imaging into anatomical dissection using augmented reality","year":2021,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Dissection (medical); Test (biology); Curriculum; Augmented reality; Psychology; Medical education; Educational measurement; Medicine; Medical physics; Computer science; Radiology; Human–computer interaction; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006674135,0.00009154297,0.0001253359,0.00008861181,0.0002036327,0.00003533539,0.0001889819,0.00007482793,0.00005024606],"category_scores_gemma":[0.000479488,0.00006871017,0.00004990334,0.0008006128,0.0003531744,0.0002045002,0.00004222265,0.000199465,0.000002777191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944626,"about_ca_system_score_gemma":0.000323889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003581689,"about_ca_topic_score_gemma":0.00007827702,"domain_scores_codex":[0.9989436,0.0000981367,0.0002961421,0.0002231966,0.0002560134,0.0001829333],"domain_scores_gemma":[0.9994854,0.0001111437,0.00006532279,0.0001608843,0.0001169914,0.00006019878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001161924,0.0001623113,0.004111494,0.00004825574,0.00002561423,0.000001129533,0.0007263022,0.001018141,0.342418,0.04193661,0.0005249151,0.6090156],"study_design_scores_gemma":[0.0001186949,0.00002915911,0.004010363,0.0000822337,0.0000328683,0.0000254171,0.002824126,0.8709331,0.1051751,0.01611064,0.0005291673,0.0001290533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833671,0.0006608176,0.0130069,0.001490201,0.0006382518,0.000108397,9.197038e-7,0.00008802939,0.0006393351],"genre_scores_gemma":[0.996686,0.00007726114,0.003017726,0.00009195218,0.00008521572,0.00001255285,0.00001344934,0.000006029293,0.000009841117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.869915,"threshold_uncertainty_score":0.2801919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04076544382800282,"score_gpt":0.3970582947368921,"score_spread":0.3562928509088893,"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."}}