{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007824015,0.0003119487,0.000806465,0.0001853725,0.0001816088,0.0001398814,0.0002097331,0.0001355282,0.000405387],"category_scores_gemma":[0.0008469448,0.000273681,0.0001458393,0.0006278869,0.0002683348,0.0002721849,0.0002270816,0.0002522833,0.0003351182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025112,"about_ca_system_score_gemma":0.001198402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005756972,"about_ca_topic_score_gemma":0.0002769675,"domain_scores_codex":[0.997682,0.0002623294,0.0007049438,0.0005603442,0.0003415863,0.0004488001],"domain_scores_gemma":[0.997272,0.0009843829,0.0002899864,0.0003538285,0.0004946469,0.0006052254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0014463,0.0005212862,0.7558882,0.0000143318,0.000509295,0.0001997394,0.0001652059,0.000005519021,0.000006207692,0.0005579914,0.02021297,0.220473],"study_design_scores_gemma":[0.01618203,0.001566382,0.5357259,0.0008568066,0.001708367,0.3789394,0.04459011,0.000575845,0.0001692254,0.009346236,0.008305917,0.002033763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744104,0.00005255095,0.0001880501,0.0006086963,0.005465062,0.001290628,0.0002842989,0.0001197504,0.01758055],"genre_scores_gemma":[0.995809,0.000004107138,0.003477084,0.00007351588,0.0002513657,0.00006824568,0.0001093644,0.00002205197,0.0001853139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3787397,"threshold_uncertainty_score":0.9999715,"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."}}