{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01594961,0.0004563298,0.0004607157,0.001003884,0.00433802,0.002554568,0.001093759,0.001153763,0.00322864],"category_scores_gemma":[0.01588529,0.0004018195,0.0005154157,0.0008738692,0.003459134,0.002286586,0.003072887,0.00152704,0.0003145093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002563918,"about_ca_system_score_gemma":0.003148234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248739,"about_ca_topic_score_gemma":0.004115374,"domain_scores_codex":[0.9912548,0.006935043,0.0002266282,0.000317671,0.0005199552,0.0007458903],"domain_scores_gemma":[0.9821666,0.01437779,0.0009871654,0.0003833384,0.001055549,0.001029697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007168928,0.000267276,0.006525759,0.0004022575,0.000008750189,0.0006504556,0.9752635,0.00005347004,0.001406979,0.001170367,0.000583794,0.01359568],"study_design_scores_gemma":[0.0000230096,0.0003001363,0.003966105,0.0003688697,0.00001420672,0.0003876532,0.9796141,0.0002222692,0.0009486349,0.0004457944,0.01368521,0.00002409142],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899648,0.0004158864,0.004737834,0.0009355409,0.00003627955,0.000574744,0.0001651009,0.00001755268,0.003152307],"genre_scores_gemma":[0.9917942,0.0006041506,0.003794674,0.0006551377,0.00001599245,0.0007405418,0.00007209017,0.00002065611,0.00230263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01594961,"threshold_uncertainty_score":0.08435059,"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."}}