{"id":"W4386592608","doi":"10.1002/ase.2336","title":"Evaluating AI‐powered text‐to‐image generators for anatomical illustration: A comparative study","year":2023,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Trunk; Depiction; Anatomy; Fibrous joint; Perspective (graphical); Medicine; Computer science; Artificial intelligence; Biology; Visual arts; Art","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":[0.0007551569,0.0001523702,0.000219017,0.0002949494,0.0002794272,0.00007780851,0.0003326542,0.0001108518,0.00006482359],"category_scores_gemma":[0.0003105499,0.0001375599,0.00005227346,0.001647339,0.0002198038,0.0002097124,0.00004649608,0.0001769279,0.0001686968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260888,"about_ca_system_score_gemma":0.0002875527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937305,"about_ca_topic_score_gemma":0.00004752824,"domain_scores_codex":[0.9985082,0.00005542044,0.0003133753,0.0003948684,0.0003306505,0.0003974779],"domain_scores_gemma":[0.9993213,0.0001691916,0.0000346958,0.0001577597,0.0001165443,0.0002005455],"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":[0.00009436758,0.001482628,0.006033534,0.0001174486,0.0002208005,0.000007652218,0.01288682,0.008613764,0.02507808,0.1214902,0.1714492,0.6525254],"study_design_scores_gemma":[0.001341027,0.001433743,0.00908749,0.00006901611,0.00008205121,0.000009208273,0.02637667,0.8915573,0.01947545,0.02269706,0.02691201,0.0009590004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923012,0.00008780503,0.002640837,0.001844204,0.0008411257,0.0009296077,0.000006123987,0.0004925589,0.0008565234],"genre_scores_gemma":[0.9937182,0.00001178324,0.005339992,0.0002974559,0.0001981214,0.0003589951,0.0000205069,0.00001193597,0.00004299267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8829435,"threshold_uncertainty_score":0.5609531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07740633814476437,"score_gpt":0.4253460389688154,"score_spread":0.347939700824051,"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."}}