{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1989992,0.002831815,0.002128841,0.01043907,0.005619349,0.008811825,0.008120475,0.01005602,0.05423783],"category_scores_gemma":[0.3066399,0.001922531,0.004373688,0.005838494,0.005164979,0.00841357,0.01596478,0.009945833,0.0197307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01187237,"about_ca_system_score_gemma":0.06252182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006369085,"about_ca_topic_score_gemma":0.003900224,"domain_scores_codex":[0.7265726,0.1821415,0.03972479,0.009848026,0.03232634,0.009386778],"domain_scores_gemma":[0.75071,0.09034985,0.01001561,0.01249992,0.1291994,0.007225196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004068733,0.000309726,0.00214505,0.01898421,0.0003014607,0.000816374,0.03807408,0.002119115,0.001818743,0.07528944,0.5108293,0.3489057],"study_design_scores_gemma":[0.0003784185,0.0002110418,0.00164257,0.02336448,0.0001440585,0.0005473476,0.02587726,0.002166336,0.0009925051,0.0535263,0.8909067,0.0002430622],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01544079,0.008958837,0.2315845,0.1926807,0.02200694,0.1623994,0.01191746,0.001627689,0.3533837],"genre_scores_gemma":[0.1659363,0.0114523,0.4764304,0.06110107,0.00310146,0.2174613,0.007830756,0.0007222099,0.05596419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1989992,"threshold_uncertainty_score":0.9877766,"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."}}