{"id":"W2312859521","doi":"10.1097/01.prs.0000430177.40707.4b","title":"Abstract P13","year":2013,"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":"University of Toronto","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001836713,0.0002282938,0.0005290462,0.0003003515,0.00004768147,0.00005225709,0.00006667599,0.00007858608,0.004065588],"category_scores_gemma":[0.003777363,0.0001896735,0.0001616335,0.0002448047,0.0004191282,0.0004091996,0.0000316307,0.0003053035,0.002454135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008466499,"about_ca_system_score_gemma":0.000201449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006107501,"about_ca_topic_score_gemma":0.00000103943,"domain_scores_codex":[0.9984209,0.00001765883,0.0004465428,0.0003518148,0.0003326261,0.0004304733],"domain_scores_gemma":[0.9957541,0.003233622,0.0001378798,0.0002928487,0.0002556189,0.0003259034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009377492,0.0001878886,0.6567529,0.0002356771,0.0002609434,0.0002591856,0.00008261795,0.000002117166,0.005258767,0.0001633553,0.04878391,0.2879189],"study_design_scores_gemma":[0.0005491473,0.00005002818,0.9920776,0.0005898031,0.00007410991,0.001067124,0.0003144356,0.0001329284,0.001569137,0.001131781,0.002164569,0.0002793444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277067,0.0001181159,0.0002041193,0.000426662,0.001989997,0.0002773669,0.000009831566,0.0001738148,0.06909341],"genre_scores_gemma":[0.99734,0.00001602929,0.001171569,0.0003891514,0.0003585787,0.00004592594,0.00002883513,0.00003831227,0.0006115875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3353247,"threshold_uncertainty_score":0.9983225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968373739929439,"score_gpt":0.2464486120130184,"score_spread":0.226764874613724,"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."}}