{"id":"W156587158","doi":"10.1096/fasebj.23.1_supplement.298.4","title":"Advanced multimedia applications for teaching anatomy: a comparison of software used to generate 3D anatomical models","year":2009,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Stereoscopy; Software; Rendering (computer graphics); Segmentation; Process (computing); Presentation (obstetrics); Multimedia; Human–computer interaction; Computer graphics (images); Artificial intelligence; Radiology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005050784,0.0006710878,0.0004103419,0.004761294,0.000300986,0.001322015,0.0009598832,0.00083917,0.00480724],"category_scores_gemma":[0.01472108,0.0003635545,0.0007793545,0.002008888,0.0003553492,0.001277877,0.001338987,0.0005079142,0.001281456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004099174,"about_ca_system_score_gemma":0.0007266777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005960251,"about_ca_topic_score_gemma":0.0009160641,"domain_scores_codex":[0.9969832,0.0009050306,0.0002575721,0.0001875906,0.001566746,0.0000997685],"domain_scores_gemma":[0.9899519,0.006928485,0.0004157196,0.0007370696,0.001561742,0.0004050561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002354099,0.0005949478,0.01107558,0.001064234,0.0001863245,0.0002786053,0.001387729,0.00623238,0.02587135,0.002362285,0.002603642,0.9459888],"study_design_scores_gemma":[0.002347951,0.01997153,0.2684448,0.003226166,0.002107131,0.01663694,0.005620684,0.2684727,0.1691062,0.02225847,0.2207697,0.001037636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.683283,0.01396481,0.2617345,0.0007774818,0.0005425335,0.001181627,0.001027013,0.006776947,0.03071201],"genre_scores_gemma":[0.6584928,0.01060521,0.3195756,0.000281169,0.0002112809,0.0008254691,0.00126544,0.002804096,0.00593887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005050784,"threshold_uncertainty_score":0.0267114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064538393293041,"score_gpt":0.3018244679339078,"score_spread":0.2811790840009774,"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."}}