{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01890387,0.0003617468,0.0001833038,0.0007992378,0.001070677,0.002648313,0.002211771,0.001269768,0.01178434],"category_scores_gemma":[0.06429563,0.0003657924,0.0005591953,0.0007342394,0.0006490747,0.001594368,0.002770435,0.0009206412,0.001072615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004354298,"about_ca_system_score_gemma":0.01594556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469957,"about_ca_topic_score_gemma":0.02353309,"domain_scores_codex":[0.978761,0.008521323,0.002564397,0.0007968622,0.005696878,0.003659441],"domain_scores_gemma":[0.9352303,0.02564203,0.01378535,0.002341009,0.0111527,0.0118486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001196094,0.002289581,0.8107082,0.001084205,0.0001038766,0.001203403,0.002077388,0.002285673,0.002929174,0.0005464413,0.004490711,0.1710852],"study_design_scores_gemma":[0.000320515,0.005362563,0.9444082,0.001163397,0.0001169529,0.002601404,0.0202816,0.005124986,0.003007271,0.0002907872,0.01721033,0.0001119162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740059,0.0005175616,0.001843604,0.009234797,0.000130517,0.001045347,0.0005653999,0.00009965978,0.01255726],"genre_scores_gemma":[0.992092,0.0003203755,0.005368702,0.0007385503,0.00006454538,0.0002139714,0.0002958141,0.0000121719,0.0008938245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01890387,"threshold_uncertainty_score":0.09997439,"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."}}