{"id":"W4391263170","doi":"10.5206/tba.v5i1.16558","title":"From Plastic Surgery to National Identity.","year":2024,"lang":"en","type":"article","venue":"tba Journal of Art Media and Visual Culture","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plastic surgery; General surgery; Medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003371915,0.0001167358,0.0003180265,0.0002439465,0.00002488508,0.0001108783,0.00005053342,0.00005622091,0.0002077804],"category_scores_gemma":[0.002373816,0.00007638121,0.00009967666,0.0002468155,0.00006126609,0.0004726527,0.00002693133,0.000325073,0.0001592896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004623199,"about_ca_system_score_gemma":0.0001784461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002066347,"about_ca_topic_score_gemma":0.000002090247,"domain_scores_codex":[0.9985947,0.00001728006,0.0003414215,0.0001289849,0.0007821435,0.0001354543],"domain_scores_gemma":[0.9985989,0.0006695288,0.00006166304,0.00003725269,0.0002866235,0.000345986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002494985,0.0001576376,0.007876305,0.0001895474,0.0003071085,0.001616193,0.004392624,0.000002078617,0.01494895,0.0002839496,0.9656432,0.004332969],"study_design_scores_gemma":[0.002905326,0.001839119,0.1578709,0.01193833,0.001196117,0.006855323,0.003634573,0.0007817413,0.003584561,0.00715841,0.8015486,0.000686955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831512,0.00431944,0.0008992467,0.005833059,0.004213592,0.00007501135,0.00002378106,0.00003965299,0.00144504],"genre_scores_gemma":[0.9933389,0.0001745199,0.0003563307,0.001176791,0.004012033,0.000001152167,0.00003879373,0.00001693271,0.0008845846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1640945,"threshold_uncertainty_score":0.3114735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508638056947955,"score_gpt":0.351371160808544,"score_spread":0.3262847802390644,"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."}}