{"id":"W4367047739","doi":"10.1093/asj/sjad121","title":"Ultrasound Calculation of Fat Volume for Liposuction: A Clinical Software Validation","year":2023,"lang":"en","type":"article","venue":"Aesthetic Surgery Journal","topic":"Body Contouring and Surgery","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital","funders":"","keywords":"Medicine; Liposuction; Confidence interval; Ultrasound; Nuclear medicine; Surgery; Radiology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.01415612,0.000710079,0.0004505332,0.001328184,0.0002637546,0.00100416,0.001060676,0.0005274563,0.002084998],"category_scores_gemma":[0.02969938,0.0003030809,0.0004525632,0.0005564934,0.0007855282,0.0006385272,0.001216248,0.0005199477,0.0006619756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403296,"about_ca_system_score_gemma":0.0007783927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004065647,"about_ca_topic_score_gemma":0.0004399513,"domain_scores_codex":[0.9930762,0.003585301,0.0006331276,0.0006973652,0.001904181,0.0001037579],"domain_scores_gemma":[0.9732353,0.0176836,0.001609514,0.002270658,0.004788145,0.0004128614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004954703,0.001713641,0.2590797,0.0006823169,0.0004108406,0.0004363999,0.003074679,0.007788273,0.1815001,0.001874729,0.001748044,0.5367366],"study_design_scores_gemma":[0.001778048,0.02059568,0.4050904,0.0005303322,0.001109529,0.009260472,0.001727405,0.215123,0.3215533,0.002484099,0.02040548,0.0003422303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6702225,0.0008647388,0.322926,0.0002146271,0.0001151035,0.001260201,0.000337349,0.00190404,0.002155423],"genre_scores_gemma":[0.7634169,0.0002580739,0.2338903,0.0000931561,0.0000535753,0.001077053,0.0003799402,0.0002654764,0.000565498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01415612,"threshold_uncertainty_score":0.07486558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06616026181563574,"score_gpt":0.3372787231924303,"score_spread":0.2711184613767946,"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."}}