{"id":"W4229688105","doi":"10.1097/01.prs.0000464042.63708.9c","title":"Abstract P73","year":2015,"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":"Hospital for Sick Children","funders":"","keywords":"Medicine; Gynecology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0004495095,0.0002134071,0.0005384969,0.0002975514,0.00003031322,0.00003215856,0.00006418,0.0000753087,0.0003500868],"category_scores_gemma":[0.008643686,0.0001821872,0.0001334298,0.0002740011,0.0004010812,0.0002676201,0.00003479272,0.0002870032,0.0006708617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436368,"about_ca_system_score_gemma":0.0005441527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002024906,"about_ca_topic_score_gemma":0.00000137382,"domain_scores_codex":[0.9984001,0.00002237137,0.0004142909,0.0003386723,0.0004459176,0.0003786592],"domain_scores_gemma":[0.9965159,0.002225092,0.0001354881,0.000283495,0.0003125875,0.0005274115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005604053,0.0002464344,0.7798221,0.0001948042,0.0002794422,0.001053435,0.0002237699,0.000008129116,0.0009044204,0.0002650215,0.06375953,0.1526825],"study_design_scores_gemma":[0.003641204,0.0002973594,0.9483096,0.002027274,0.0003565987,0.006975962,0.002120555,0.0003596578,0.00387447,0.003820503,0.02725802,0.0009587755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914153,0.0002326756,0.0003371693,0.0003130286,0.003377713,0.0001591033,0.00001609554,0.0001866189,0.1039623],"genre_scores_gemma":[0.9974614,0.000009769583,0.001212765,0.0002916598,0.0004889659,0.00001296875,0.0000351437,0.00003637667,0.0004508973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1684875,"threshold_uncertainty_score":0.9997069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04668341600965498,"score_gpt":0.2783807005717542,"score_spread":0.2316972845620992,"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."}}