{"id":"W4394485867","doi":"10.6084/m9.figshare.11997111","title":"Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Composition (language); Nuclear medicine; Medicine; Radiology; Medical physics; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009202179,0.0005085894,0.001263598,0.0006705096,0.00006183826,0.00002581005,0.0004638214,0.0003707355,0.009748987],"category_scores_gemma":[0.0002387678,0.0004798383,0.0005543532,0.0006913638,0.00004966086,0.00006272564,0.0001779101,0.000568273,0.0002027068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070317,"about_ca_system_score_gemma":0.0001763735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007335219,"about_ca_topic_score_gemma":0.00001167248,"domain_scores_codex":[0.996759,0.0001473143,0.000936989,0.0005765858,0.001280949,0.0002991644],"domain_scores_gemma":[0.9969797,0.00016867,0.0009733108,0.0007632723,0.0008746715,0.0002403469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005031094,0.0007135115,0.0002580165,0.008193107,0.0006638643,0.0000519496,0.00002084994,0.000002985799,0.0004838079,2.334481e-7,0.9875574,0.001551202],"study_design_scores_gemma":[0.005625054,0.01285057,0.03313832,0.1940755,0.003539109,0.00003156596,0.00005282155,0.0001035225,0.1209663,0.00001439344,0.6281081,0.001494699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001760288,0.0002692704,0.00003805118,0.00008431038,0.00003299522,0.001854912,0.9973224,0.000192975,0.00002907609],"genre_scores_gemma":[0.01503066,0.00001269002,0.002400296,0.0001751028,0.0002688526,0.0002375956,0.981837,0.0000360508,0.000001785518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3594492,"threshold_uncertainty_score":0.9997653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08083663609015826,"score_gpt":0.3476977556038113,"score_spread":0.266861119513653,"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."}}