{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001662865,0.0003161598,0.001191846,0.0004733749,0.00007451846,0.00002954155,0.0003346628,0.0004295501,0.001385403],"category_scores_gemma":[0.00004290562,0.0002153346,0.0004748458,0.0002084368,0.0002768574,0.00006522644,0.0001128013,0.003453686,0.001115877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014698,"about_ca_system_score_gemma":0.0003369506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003191592,"about_ca_topic_score_gemma":3.79398e-7,"domain_scores_codex":[0.996383,0.001220998,0.001164843,0.0003148998,0.000480115,0.000436168],"domain_scores_gemma":[0.9976068,0.0002839509,0.0009235207,0.0002960887,0.0005429297,0.0003466959],"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":[0.0008286406,0.00004584395,0.00002467955,0.00005365076,0.0001727082,0.07324988,0.00007735706,3.11596e-7,0.0000227149,0.000002264903,0.718114,0.207408],"study_design_scores_gemma":[0.001685278,0.001787742,0.0001972232,0.0002914429,0.0001677884,0.426533,0.00001543307,4.779247e-7,0.00002382773,0.000006564137,0.5691652,0.0001259745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01411381,0.0002023676,0.0001648897,0.8436987,0.00711634,0.0002398359,0.00001555981,0.00004375844,0.1344048],"genre_scores_gemma":[0.005522296,0.0003668506,0.006442799,0.82038,0.1451291,0.000002403273,0.00009952414,0.0003004229,0.02175654],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3532832,"threshold_uncertainty_score":0.9996619,"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."}}