{"id":"W2317365585","doi":"10.1097/01.prs.0000445862.27932.c3","title":"Abstract P16","year":2014,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Reconstructive surgery; Plastic surgery; General surgery; Surgery","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":[0.0004261432,0.0002186296,0.0005609176,0.0002919861,0.00005095152,0.00003077366,0.00006553614,0.00007592732,0.0007117353],"category_scores_gemma":[0.007719202,0.0001858584,0.0001627271,0.0002205798,0.0004066437,0.0001982808,0.00002897866,0.0002891136,0.0005732108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000070133,"about_ca_system_score_gemma":0.0001567565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001192426,"about_ca_topic_score_gemma":0.000001270311,"domain_scores_codex":[0.9984624,0.00002919785,0.0004175301,0.0003634356,0.0003377512,0.0003896841],"domain_scores_gemma":[0.9942079,0.004892465,0.0001432368,0.0003122814,0.0001613517,0.0002827666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002451348,0.0001668367,0.5802111,0.0002767813,0.0002063476,0.0001726956,0.0000682628,0.000004631618,0.002608861,0.0007347928,0.0140998,0.4012047],"study_design_scores_gemma":[0.001100294,0.0001137681,0.9749992,0.001085351,0.0001533929,0.001554879,0.0001763315,0.0004347909,0.002616588,0.001807695,0.01552786,0.0004298516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837874,0.00007006331,0.00141421,0.000287857,0.002565447,0.0001350362,0.00001003792,0.0001879159,0.1115421],"genre_scores_gemma":[0.9974596,0.00001037298,0.00115251,0.0003998136,0.000559929,0.00001219999,0.00002771534,0.00003756378,0.0003402974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4007749,"threshold_uncertainty_score":0.9241163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837080906719724,"score_gpt":0.2503490199709388,"score_spread":0.2319782109037415,"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."}}