{"id":"W2320921845","doi":"10.1097/psn.0000000000000049","title":"Plastic Surgery Reconstruction Statistics 2013","year":2014,"lang":"en","type":"letter","venue":"Plastic Surgical Nursing","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plastic surgery; Position (finance); History; Medicine; Surgery; Business; Finance","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":[0.0009626917,0.0002958922,0.0003698057,0.004083491,0.0004133498,0.001184902,0.0005981982,0.0004733656,0.03322964],"category_scores_gemma":[0.01193505,0.0002198301,0.0005269063,0.009332633,0.0002043987,0.000673018,0.0006352714,0.001073399,0.01413032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003572868,"about_ca_system_score_gemma":0.003649456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07047495,"about_ca_topic_score_gemma":0.08723882,"domain_scores_codex":[0.9983316,0.0001995154,0.0002933711,0.0001591296,0.0007785456,0.0002377781],"domain_scores_gemma":[0.9944901,0.001072684,0.00100086,0.0002084323,0.002763048,0.0004648635],"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":[0.00007286326,0.00002313485,0.01784013,0.0002094506,0.00002881796,0.0000566111,0.00004365506,0.0002839791,0.00003474552,0.001173669,0.9451851,0.03504777],"study_design_scores_gemma":[0.00008273609,0.00005751319,0.2041321,0.001250569,0.00004698398,0.00062192,0.0003434288,0.0009847655,0.0001918454,0.001348347,0.7909008,0.00003894054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02759728,0.008973459,0.001363706,0.02392689,0.002162597,0.0002879928,0.8044223,0.0009316489,0.1303341],"genre_scores_gemma":[0.1587203,0.02800733,0.002005949,0.01116144,0.002406253,0.0008457056,0.7038639,0.0005026417,0.09248649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07047495,"threshold_uncertainty_score":0.1401295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299544629514031,"score_gpt":0.2655526862631006,"score_spread":0.2425572399679603,"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."}}