{"id":"W2327048776","doi":"10.1097/01.prs.0000430169.20515.08","title":"Abstract P5","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":"McGill University","funders":"","keywords":"Medicine; Reconstructive surgery; Plastic surgery; Surgery; General 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":[0.0001851843,0.0002239909,0.0005215367,0.0002965858,0.00004690785,0.00005149972,0.00006532949,0.00007708865,0.003936683],"category_scores_gemma":[0.003821758,0.0001860216,0.0001588158,0.0002403458,0.0004143544,0.0004002221,0.00003176145,0.0003009811,0.002357968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008331625,"about_ca_system_score_gemma":0.0002006947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005772804,"about_ca_topic_score_gemma":9.79043e-7,"domain_scores_codex":[0.9984453,0.00001740738,0.000439582,0.0003462402,0.0003281453,0.0004233669],"domain_scores_gemma":[0.9958023,0.003203342,0.0001356369,0.0002884181,0.0002503102,0.0003200351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009337315,0.0001850493,0.649918,0.0002300592,0.0002540438,0.0002529992,0.00007994635,0.000001969746,0.005157029,0.0001581451,0.04655785,0.2971115],"study_design_scores_gemma":[0.0005522484,0.00005016462,0.9919773,0.0005960382,0.00007437293,0.001125324,0.000308955,0.0001312171,0.001614607,0.001143923,0.002148058,0.0002778255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256122,0.0001174433,0.0002059177,0.000419928,0.001979864,0.0002704954,0.000009466993,0.0001704593,0.07121426],"genre_scores_gemma":[0.9973834,0.00001567535,0.001154066,0.000383424,0.0003564535,0.00004386097,0.00002736047,0.00003749735,0.000598257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3420593,"threshold_uncertainty_score":0.9984188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975820208788861,"score_gpt":0.246798313600803,"score_spread":0.2270401115129143,"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."}}