{"id":"W2335425523","doi":"10.1097/scs.0b013e31826468de","title":"Global Plastic Surgeons Images Depicted in Motion Pictures","year":2013,"lang":"en","type":"article","venue":"Journal of Craniofacial Surgery","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inha University","keywords":"Medicine; Motion (physics); Point (geometry); Quarter (Canadian coin); Motion picture; Surgery; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0005178725,0.0001786653,0.0006874712,0.0003840564,0.00003041578,0.00005921798,0.00008890201,0.00009636899,0.0003697255],"category_scores_gemma":[0.003790231,0.0001389573,0.0002481785,0.0005035524,0.0001740289,0.0005185563,0.00002209447,0.0002987488,0.00004328445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789922,"about_ca_system_score_gemma":0.000238236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002815296,"about_ca_topic_score_gemma":0.00001488484,"domain_scores_codex":[0.9979575,0.00007120033,0.0008865087,0.0001347366,0.0006049166,0.0003451874],"domain_scores_gemma":[0.9982665,0.0005444064,0.0003409374,0.0001360792,0.0004235485,0.0002885964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001503132,0.0002411754,0.9556379,0.00005885859,0.00005266982,0.0006122382,0.00004272356,0.00003816395,0.0009449944,0.00001916832,0.0240691,0.01813266],"study_design_scores_gemma":[0.0008691908,0.00007888629,0.9958495,0.0003558908,0.00006020258,0.0007840872,0.0001056181,0.00004233017,0.00013483,0.0005627828,0.00104393,0.0001126856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921853,0.0001755828,0.001034828,0.002526598,0.001729475,0.0001556481,0.000007113608,0.00003203615,0.002153453],"genre_scores_gemma":[0.9987642,0.00006339872,0.0002046884,0.0004228118,0.0004320823,0.000003184332,0.000006458897,0.00001749847,0.00008570341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04021163,"threshold_uncertainty_score":0.5666516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122704734476403,"score_gpt":0.2627773694474492,"score_spread":0.2505068959998089,"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."}}