{"id":"W4232616585","doi":"10.1097/psn.0b013e31824ae92e","title":"BRA Day","year":2012,"lang":"en","type":"article","venue":"Plastic Surgical Nursing","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Safety & Insurance Board","funders":"","keywords":"Management; Library science; Art; Engineering; Computer science","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":[0.0006764328,0.0007445982,0.000570726,0.000995588,0.002513988,0.004964192,0.0009589124,0.001779963,0.7566145],"category_scores_gemma":[0.003282244,0.0003598114,0.0006234573,0.0006246325,0.0005627474,0.001991885,0.002704387,0.003263577,0.5450482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149352,"about_ca_system_score_gemma":0.001921492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003744264,"about_ca_topic_score_gemma":0.01142813,"domain_scores_codex":[0.9990023,0.0001030706,0.00004260657,0.0001765699,0.0004983486,0.0001770357],"domain_scores_gemma":[0.9977965,0.000146934,0.0000725459,0.0001831249,0.0008706616,0.0009301882],"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":[0.00003471641,0.00004246978,0.0001805023,0.00004994712,0.000003007682,0.0001013964,0.00006225073,0.00001734772,0.000166828,0.001852854,0.9282908,0.0691978],"study_design_scores_gemma":[0.000003990566,0.000009344072,0.0002415385,0.00003409992,9.033041e-7,0.0001194115,0.00009898891,0.00001106985,0.00003263548,0.000291062,0.9991537,0.000003196145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001014783,0.002960827,0.0007989153,0.01305265,0.0203286,0.00008988355,0.00067853,0.0007901481,0.9602857],"genre_scores_gemma":[0.003033689,0.001674301,0.0002528786,0.003485587,0.001382102,0.00002809251,0.0003592002,0.0002248371,0.9895593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7566145,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041521648525312,"score_gpt":0.2827005083789119,"score_spread":0.2622852918936587,"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."}}