{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002285614,0.0003873637,0.0000955576,0.002541365,0.0003458023,0.0007893934,0.0002379148,0.0006191464,0.08496556],"category_scores_gemma":[0.002100599,0.0001782555,0.000219633,0.001564735,0.0003321616,0.001070809,0.0005704837,0.000781091,0.01346253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120346,"about_ca_system_score_gemma":0.000272737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917123,"about_ca_topic_score_gemma":0.003077036,"domain_scores_codex":[0.9998316,0.00004627551,0.00001210861,0.0000149849,0.00007024784,0.00002484181],"domain_scores_gemma":[0.9995232,0.0001361594,0.00008821348,0.00003997373,0.0001607551,0.00005183548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003689307,0.00005033042,0.006790027,0.001950584,0.00006042283,0.005844615,0.004255916,0.0004305693,0.01773689,0.008052114,0.7480933,0.2063663],"study_design_scores_gemma":[0.00001402332,0.00004238721,0.01659265,0.0004444669,0.00002796968,0.005738204,0.002413925,0.0002464776,0.001610546,0.000749576,0.9720999,0.00001989705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.143775,0.04122856,0.01504296,0.03002593,0.01688179,0.0006229721,0.01933187,0.002285425,0.7308056],"genre_scores_gemma":[0.5969077,0.04487434,0.02344286,0.0132733,0.005571056,0.0002834252,0.008990059,0.001136909,0.3055204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08496556,"threshold_uncertainty_score":0.2842381,"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."}}