{"id":"W2294337136","doi":"10.1097/gox.0000000000000510","title":"Delphi Study Consensus Recommendations","year":2015,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Allergan","keywords":"Delphi method; Medicine; Delphi; Breast augmentation; Consensus conference; Medical physics; Selection (genetic algorithm); Breast implant; Implant; Surgery; 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":[0.2364932,0.001683854,0.001520855,0.006858674,0.005213246,0.005958156,0.005184393,0.004595984,0.03478678],"category_scores_gemma":[0.3000158,0.001369022,0.002309751,0.004975898,0.005039711,0.00662135,0.01330657,0.006182862,0.007480734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01151126,"about_ca_system_score_gemma":0.05289229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004421121,"about_ca_topic_score_gemma":0.002963588,"domain_scores_codex":[0.6639406,0.2642301,0.03025802,0.008168162,0.02714013,0.00626295],"domain_scores_gemma":[0.7468022,0.1303952,0.008913338,0.01055722,0.09837745,0.004954692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009198555,0.0006620159,0.005918944,0.03161158,0.0004572287,0.0008646997,0.1467756,0.002842715,0.001926287,0.115342,0.2202609,0.4724184],"study_design_scores_gemma":[0.001172792,0.0008902117,0.004829273,0.0356018,0.000237316,0.0006984064,0.118853,0.004460635,0.001698058,0.07599103,0.7552551,0.0003123532],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05945946,0.007477118,0.186615,0.09088946,0.006877466,0.2966824,0.00758172,0.0006599672,0.3437574],"genre_scores_gemma":[0.3041503,0.00617278,0.2369446,0.02528959,0.0008221178,0.3994499,0.002898672,0.0002708212,0.02400121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2364932,"threshold_uncertainty_score":0.9415399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08667421150528118,"score_gpt":0.3381756012494542,"score_spread":0.251501389744173,"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."}}