{"id":"W4242523834","doi":"10.1177/229255031302100116","title":"The angel flap for nipple reconstruction","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Plastic Surgery","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Scars; Breast reconstruction; Projection (relational algebra); Surgery; Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002948309,0.00007361316,0.0001982514,0.0002350061,0.000201366,0.00005070286,0.00004214391,0.00006764448,0.0002100681],"category_scores_gemma":[0.0005979578,0.0000471218,0.0001902512,0.00009383724,0.0001136201,0.0001224689,0.00000143793,0.0001406662,0.00002415021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009153532,"about_ca_system_score_gemma":0.001301714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000786241,"about_ca_topic_score_gemma":0.002360489,"domain_scores_codex":[0.9992577,0.0000208839,0.0003330428,0.00005963977,0.00008188586,0.0002467919],"domain_scores_gemma":[0.997407,0.001577338,0.0001916342,0.00007038606,0.0002926746,0.0004610274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008953797,0.000005454444,0.1671316,0.00003254529,0.000154418,0.00003015271,0.00003884369,0.000003939967,0.000189361,0.0000819676,0.1109283,0.7213138],"study_design_scores_gemma":[0.001767332,0.0002792666,0.5270931,0.0009256296,0.0004612596,0.4013965,0.001834587,0.000877522,0.0007949521,0.002349077,0.06182117,0.0003996302],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891438,0.0003817253,0.0003746129,0.0007843798,0.008999534,0.0001285871,0.00001448053,0.000004677746,0.0001681758],"genre_scores_gemma":[0.9983488,0.00001899968,0.0002212679,0.00003493894,0.001087804,0.000006780419,0.00000489156,0.00001138936,0.0002651077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7209142,"threshold_uncertainty_score":0.2309185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983654399661906,"score_gpt":0.2110226945092418,"score_spread":0.1911861505126228,"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."}}