{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002666317,0.0001171823,0.0004565646,0.0002931493,0.0001542172,0.00002389873,0.00004549337,0.0001392831,0.00006993072],"category_scores_gemma":[0.0007889675,0.0001032619,0.0005881499,0.0003386748,0.00007975285,0.000113373,0.000009222983,0.0002228567,0.00004432698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004138158,"about_ca_system_score_gemma":0.0002379932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006873489,"about_ca_topic_score_gemma":6.331823e-7,"domain_scores_codex":[0.9982076,0.0001416,0.0008617319,0.0001780761,0.0003458202,0.0002652072],"domain_scores_gemma":[0.9976946,0.001190702,0.0003429034,0.0002060851,0.0003895686,0.0001761589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000306526,0.0001289531,0.5169582,0.00004919926,0.00007584722,0.00006186522,0.0001241689,0.0001314568,0.000100987,0.00001445687,0.1631875,0.3188609],"study_design_scores_gemma":[0.007482861,0.001138615,0.7443069,0.002535592,0.001096217,0.07586519,0.0006513917,0.004420844,0.002909457,0.004204173,0.1541336,0.001255165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990246,0.0002130557,0.00593843,0.001383075,0.001902881,0.000167297,0.000004280551,0.0001057489,0.00003921459],"genre_scores_gemma":[0.9960951,0.000417573,0.0008719541,0.00006575986,0.0009584051,0.000012366,0.00006808891,0.00003277011,0.001478049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3176058,"threshold_uncertainty_score":0.4210896,"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."}}