{"id":"W4389315195","doi":"10.1002/ncp.11093","title":"Explanatory sequential mixed‐methods approach to understand how registered dietitians implemented computed tomography skeletal muscle assessments in clinical practice","year":2023,"lang":"en","type":"article","venue":"Nutrition in Clinical Practice","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Health Services","funders":"Institute of Nutrition, Metabolism and Diabetes; Nestlé Nutrition Institute; Canadian Nutrition Society; American Society for Parenteral and Enteral Nutrition Rhoads Research Foundation","keywords":"Medicine; Computed tomography; Clinical Practice; Medical physics; Radiology; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02099081,0.0003451949,0.00104979,0.0009704133,0.000188096,0.0001498669,0.0002825047,0.000588836,0.00006852693],"category_scores_gemma":[0.01526526,0.0003842453,0.0003991157,0.002550719,0.0002384145,0.0009329334,0.0002092599,0.002465045,0.00008661646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606204,"about_ca_system_score_gemma":0.0003446813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092962,"about_ca_topic_score_gemma":0.00007076631,"domain_scores_codex":[0.987657,0.006270986,0.002994245,0.001244232,0.0009868821,0.0008467275],"domain_scores_gemma":[0.9848971,0.01210801,0.0009309339,0.0007519064,0.0005831526,0.0007289099],"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":[0.01631059,0.0714898,0.04294672,0.007012581,0.001203639,0.004597326,0.002046608,0.0000452396,0.0005199075,0.01244762,0.6734178,0.1679621],"study_design_scores_gemma":[0.02593339,0.002475238,0.1807489,0.001380891,0.0003351298,0.0002410647,0.02668391,0.003411904,0.00001840698,0.001360637,0.7567379,0.0006726517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.1639033,0.002063594,0.2597788,0.4839072,0.01565515,0.01663879,0.0004627917,0.002126646,0.05546379],"genre_scores_gemma":[0.3743512,0.003069162,0.5928138,0.02661969,0.0016394,0.0003711619,0.0008200479,0.0001151235,0.0002003166],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4572875,"threshold_uncertainty_score":0.9998609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3634523336036948,"score_gpt":0.5885936347960483,"score_spread":0.2251413011923535,"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."}}