{"id":"W28734632","doi":"10.1097/prs.0b013e3182546517","title":"Discussion","year":2012,"lang":"en","type":"letter","venue":"Plastic & Reconstructive Surgery","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Family medicine; General surgery; Library science; Computer science","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":[],"category_scores_codex":[0.0003822719,0.0005177082,0.0003019529,0.0005115899,0.002564793,0.001647067,0.0006781782,0.009593419,0.04260534],"category_scores_gemma":[0.00191952,0.0001852791,0.0003672974,0.0004480213,0.0009620787,0.00106469,0.0007173243,0.007658775,0.01323259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421881,"about_ca_system_score_gemma":0.001069137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003339202,"about_ca_topic_score_gemma":0.006231879,"domain_scores_codex":[0.9993632,0.0001418928,0.00003773505,0.0001349796,0.0001528417,0.0001693314],"domain_scores_gemma":[0.9994178,0.0001872256,0.00005182488,0.0000292181,0.0001531398,0.0001609189],"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":[0.0001320066,0.0000719334,0.003839938,0.00007463992,0.00001022637,0.04914246,0.0004509269,0.0001209365,0.0003863576,0.01196466,0.9143289,0.01947705],"study_design_scores_gemma":[0.00007863044,0.00004039489,0.002671959,0.0003774101,0.000009251205,0.02952158,0.001022841,0.0003012543,0.0002357455,0.006777986,0.9589456,0.00001724375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006381314,0.003625581,0.0002742403,0.7487274,0.02441787,0.00004812702,0.0003221867,0.00008384469,0.2161194],"genre_scores_gemma":[0.1063682,0.004833984,0.0003884128,0.6025086,0.02202793,0.0001338203,0.0002980173,0.00005417487,0.2633868],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9573947,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402454213744375,"score_gpt":0.2385285876343767,"score_spread":0.214504045496933,"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."}}