{"id":"W2898051853","doi":"10.1177/2292550318800502","title":"Feasibility of Implementing a Breast Reconstruction Database","year":2018,"lang":"en","type":"article","venue":"Plastic Surgery","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Database; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004419224,0.0001021669,0.0002896634,0.0001865025,0.00007526197,0.000006844906,0.00002636624,0.00005530343,0.0008270329],"category_scores_gemma":[0.000467226,0.00008711984,0.0001011303,0.0002148834,0.0002150382,0.000118433,0.00002989384,0.00008889131,0.00003921394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003561432,"about_ca_system_score_gemma":0.0001460112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006398714,"about_ca_topic_score_gemma":0.00002624564,"domain_scores_codex":[0.9989479,0.00003723655,0.00039928,0.0002123765,0.0001599199,0.0002432853],"domain_scores_gemma":[0.9980404,0.001306869,0.0001749733,0.0002049915,0.0001723445,0.000100419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000422801,0.00006481681,0.7744218,0.0001325978,0.00005190543,0.000006901088,0.00002448788,4.834603e-8,0.006150075,0.00002790314,0.0006066701,0.2180901],"study_design_scores_gemma":[0.001013134,0.00006751972,0.8697545,0.0006881987,0.0002199385,0.1180236,0.0002971883,0.0006223567,0.008846462,0.00006285864,0.0001882517,0.0002159942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953322,0.00001672765,0.0006331604,0.00003157461,0.00317664,0.0000903375,0.0001205191,0.00005119762,0.0005476804],"genre_scores_gemma":[0.9985613,0.000003717676,0.0006366948,0.000004588658,0.0006871943,0.000003276368,0.00007263167,0.00001000247,0.0000206435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2178741,"threshold_uncertainty_score":0.905543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896253164572995,"score_gpt":0.2921707700069841,"score_spread":0.2432082383612542,"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."}}