{"id":"W3201489620","doi":"10.1111/ctr.14472","title":"User‐centered design features for digital health applications to support physical activity behaviors in solid organ transplant recipients: A qualitative study","year":2021,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; McGill University; Queen's University; McGill University Health Centre; University of Alberta","funders":"","keywords":"Thematic analysis; Medicine; Digital health; Organ transplantation; Qualitative research; Health care; Transplantation; Medical education; Surgery","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":[0.001143809,0.0002779482,0.0008704541,0.000151641,0.0001368761,0.00005879823,0.0001256541,0.0001338291,0.0000154943],"category_scores_gemma":[0.0001270999,0.0002557478,0.0002931765,0.0004836833,0.000068291,0.0002361819,0.000007163019,0.0003758457,0.00001567409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009547036,"about_ca_system_score_gemma":0.0003944492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003217129,"about_ca_topic_score_gemma":0.0002608742,"domain_scores_codex":[0.996857,0.0007523183,0.0008546286,0.0007617192,0.0003713692,0.0004029335],"domain_scores_gemma":[0.9969749,0.001990718,0.0001655074,0.0003153637,0.0001890978,0.0003644235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02739928,0.04093993,0.3528692,0.001923856,0.0009192616,0.0007293717,0.3058743,0.0002027136,0.008953443,0.0008509249,0.0003544904,0.2589832],"study_design_scores_gemma":[0.01455397,0.005739265,0.9601949,0.0005016397,0.000747203,0.0001106108,0.01033556,0.00005247984,0.006741319,0.0003144318,0.0002058989,0.0005026634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6529338,0.00001165031,0.3415001,0.001011012,0.0001599421,0.003449014,0.0008452618,0.0000655174,0.00002373099],"genre_scores_gemma":[0.9761058,0.0001415392,0.02058407,0.0005084305,0.0001558534,0.00102613,0.001230568,0.00004487981,0.000202701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6073257,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2203767588973254,"score_gpt":0.55841656826977,"score_spread":0.3380398093724446,"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."}}