{"id":"W226305295","doi":"10.1097/01.prs.0000445029.96516.5b","title":"Abstract 16","year":2014,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007874835,0.0008619686,0.0004628548,0.001905781,0.001152494,0.003519896,0.000829385,0.001302898,0.7103972],"category_scores_gemma":[0.002304401,0.0002447662,0.0006323408,0.0009383739,0.0003879113,0.001150005,0.002161921,0.00118625,0.5569639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399361,"about_ca_system_score_gemma":0.003224505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002808075,"about_ca_topic_score_gemma":0.004666724,"domain_scores_codex":[0.9992105,0.00007320592,0.00005162305,0.000102468,0.0004477663,0.0001144447],"domain_scores_gemma":[0.997798,0.0001226223,0.00007427743,0.000154463,0.001185085,0.0006657078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009327791,0.00009976689,0.000604312,0.0001633516,0.00000717606,0.000106868,0.00004241743,0.00007166914,0.0006675388,0.003129564,0.8798993,0.1151148],"study_design_scores_gemma":[0.00001941798,0.00003957446,0.001310612,0.0001687045,0.000006012002,0.00008821834,0.0000665613,0.00005037644,0.0002983637,0.001214398,0.9967331,0.000004797083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001815266,0.001378669,0.001081004,0.007349572,0.01765345,0.0003476989,0.004489001,0.0007493079,0.9651361],"genre_scores_gemma":[0.003233525,0.0007889113,0.0003088402,0.001172313,0.001819416,0.00006519316,0.002175173,0.0001123526,0.9903243],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2896028,"threshold_uncertainty_score":0.4130831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822936160301568,"score_gpt":0.2499230117494317,"score_spread":0.231693650146416,"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."}}