{"id":"W2293230303","doi":"10.1097/gox.0000000000000388","title":"Delphi Consensus Recommendations","year":2015,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Allergan","keywords":"Medicine; Delphi method; Breast augmentation; Delphi; Limiting; Perioperative; Medical physics; Surgery; Implant; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005546805,0.0002819198,0.0007005847,0.0001615897,0.0001531976,0.0001212168,0.0001832306,0.0001717332,0.0005094566],"category_scores_gemma":[0.0008418571,0.0002509585,0.0001644946,0.0005454273,0.0003388124,0.000272291,0.0001799142,0.0002326616,0.0004341556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003967238,"about_ca_system_score_gemma":0.001369124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003399131,"about_ca_topic_score_gemma":0.0001100017,"domain_scores_codex":[0.9980209,0.0001564438,0.0006120588,0.0004794985,0.000279335,0.0004517244],"domain_scores_gemma":[0.9974094,0.0009296183,0.0002686589,0.0002965897,0.0004590236,0.0006367146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.001946328,0.0002066996,0.3948613,0.00003529132,0.0005130048,0.0001943002,0.00008784664,0.00000909963,0.00002566791,0.003960424,0.0758043,0.5223557],"study_design_scores_gemma":[0.01213047,0.0006197415,0.1628284,0.001720981,0.001224134,0.7429175,0.00916157,0.001098888,0.0006951846,0.02833755,0.03695869,0.002306875],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431847,0.000119809,0.0005825425,0.001586542,0.007356307,0.0007978096,0.0005049196,0.0001521908,0.04571521],"genre_scores_gemma":[0.9882006,0.00001361155,0.01066815,0.000164787,0.0003492109,0.00004827495,0.0002263909,0.00002527925,0.0003036754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7427232,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07626470852849157,"score_gpt":0.3233411913540963,"score_spread":0.2470764828256048,"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."}}