{"id":"W3103693401","doi":"10.1002/ase.2035","title":"Virtual Dissection: An Interactive Anatomy Learning Tool","year":2020,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University; University of Toronto; McMaster University","funders":"","keywords":"Virtual reality; Novelty; Psychology; Modalities; Learning effect; Computer science; Human–computer interaction","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":[0.0001022689,0.00008412553,0.00009341103,0.00006353922,0.0001295705,0.00003913176,0.0002067038,0.00008431819,0.0002030064],"category_scores_gemma":[0.0001731905,0.00007687235,0.00002722331,0.000512008,0.00017384,0.0004126984,0.00002413624,0.0002983903,0.00007729761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005627958,"about_ca_system_score_gemma":0.00009226137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000117294,"about_ca_topic_score_gemma":0.000004704355,"domain_scores_codex":[0.9993007,0.00002641336,0.0001315272,0.0002190131,0.0001426848,0.0001796144],"domain_scores_gemma":[0.9997028,0.00003786949,0.00002109409,0.00005563474,0.00002462747,0.0001579549],"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":[0.00001458062,0.0001059257,0.003107313,0.00001380882,0.00001951208,0.000002956654,0.002068246,0.001330875,0.002805619,0.07052589,0.003236402,0.9167688],"study_design_scores_gemma":[0.000394681,0.0009129727,0.004690143,0.00005429992,0.00002812436,0.00003931789,0.01838454,0.6625018,0.0153376,0.006215334,0.2907087,0.0007325146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888328,0.0001323865,0.003659083,0.001789305,0.0004831589,0.00007415302,4.530109e-7,0.0004606544,0.004568036],"genre_scores_gemma":[0.9988253,0.00005879042,0.0003702218,0.0004761272,0.0002170663,0.00001431168,0.000006942263,0.000006961113,0.00002426202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9160364,"threshold_uncertainty_score":0.3134764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009214861419658044,"score_gpt":0.2849687375962666,"score_spread":0.2757538761766085,"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."}}