{"id":"W4225407950","doi":"10.1096/fasebj.2022.36.s1.r3643","title":"Continuing the Legacy of Grant’s Museum: Anatomy Education in the Digital Era","year":2022,"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":"Humber Polytechnic; University of Toronto","funders":"","keywords":"Computer science; Computer graphics (images); Studio; Workflow; 3d model; Artificial intelligence","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":[0.001318609,0.0002584466,0.0001505915,0.0009640299,0.002241939,0.003134995,0.0007003109,0.000926372,0.04891869],"category_scores_gemma":[0.002791,0.0002020826,0.000208507,0.0009665176,0.003783018,0.003196724,0.005943156,0.001642151,0.004598862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362258,"about_ca_system_score_gemma":0.002391523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00181973,"about_ca_topic_score_gemma":0.005242685,"domain_scores_codex":[0.999316,0.000143607,0.00002520361,0.00008098588,0.0003497991,0.0000844623],"domain_scores_gemma":[0.9987144,0.0003103375,0.0001167523,0.0001762103,0.0001912393,0.0004910427],"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":[0.00004172226,0.0001129249,0.00481347,0.0004792732,0.00000559393,0.0005508245,0.008249643,0.0003942187,0.003809826,0.07347304,0.1738189,0.7342506],"study_design_scores_gemma":[0.000004547645,0.00007037491,0.006424879,0.00021601,0.000002802145,0.001308324,0.002873059,0.0001357384,0.0009188266,0.009560844,0.9784709,0.00001374355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1854225,0.02416256,0.0505875,0.09357243,0.004982708,0.000305453,0.0007101158,0.00170474,0.6385521],"genre_scores_gemma":[0.6414461,0.01813383,0.07538373,0.007631414,0.002593602,0.0002178475,0.0004317014,0.0005709833,0.2535909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04891869,"threshold_uncertainty_score":0.1636493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006158552354069211,"score_gpt":0.2248934202652351,"score_spread":0.2187348679111659,"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."}}