{"id":"W2800377733","doi":"10.1016/j.ejso.2018.04.009","title":"Reply to: Mastectomy skin flap thickness","year":2018,"lang":"en","type":"letter","venue":"European Journal of Surgical Oncology","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Mastectomy; Computer science; Medicine; Internal medicine; Breast cancer; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.001168151,0.0006526871,0.000950653,0.0005826628,0.002745809,0.002332359,0.001194486,0.03380702,0.008017961],"category_scores_gemma":[0.01492243,0.0005726909,0.0009546612,0.0004991355,0.001823091,0.002020821,0.001336994,0.02475381,0.004387456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917786,"about_ca_system_score_gemma":0.001842775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922691,"about_ca_topic_score_gemma":0.003021087,"domain_scores_codex":[0.9989915,0.0002411107,0.000135544,0.0001495998,0.0002279729,0.0002542593],"domain_scores_gemma":[0.9968463,0.001618478,0.0003937609,0.0001183249,0.0005633628,0.0004597406],"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":[0.00008547396,0.0000356843,0.001851155,0.0001047325,0.00002432788,0.03140999,0.0002934111,0.0001361063,0.000354684,0.002384186,0.953925,0.009395279],"study_design_scores_gemma":[0.0001543039,0.0001242279,0.003402935,0.0006302575,0.00009161596,0.04057422,0.00128437,0.0007746047,0.0005804535,0.008009705,0.9442831,0.00009026115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00118635,0.00161893,0.00009590437,0.9621357,0.03162742,0.0000131914,0.00005832209,0.00001877191,0.00324539],"genre_scores_gemma":[0.01805278,0.00251509,0.0002763032,0.8789734,0.0882479,0.00004571936,0.00007128732,0.00003431862,0.01178325],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03380702,"threshold_uncertainty_score":0.02682275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666005205369826,"score_gpt":0.2854762014478927,"score_spread":0.2588161493941944,"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."}}