{"id":"W4389856564","doi":"10.2196/50926","title":"Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; mHealth; Thematic analysis; Breast cancer; Medicine; Digital health; User experience design; Data collection; Computer science; Qualitative research; Health care; Cancer; Nursing; Human–computer interaction; Psychological intervention; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001376558,0.0002073545,0.0005609401,0.0001927929,0.0009279069,0.000006015615,0.0002003944,0.0001339616,0.0001293461],"category_scores_gemma":[0.00004087597,0.0001588828,0.00004449035,0.0004874179,0.0001512944,0.0002068658,0.00005688374,0.0002509264,5.584857e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443148,"about_ca_system_score_gemma":0.0005188073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109921,"about_ca_topic_score_gemma":0.0008544785,"domain_scores_codex":[0.9969492,0.0006430759,0.001000073,0.0004857817,0.0003080304,0.0006138599],"domain_scores_gemma":[0.9974523,0.0004557493,0.0007374981,0.000520001,0.000463591,0.0003709157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002234203,0.0005824675,0.9600472,0.0007070406,0.00001412336,5.817995e-8,0.02325081,0.000005233121,0.0003010764,0.00005440073,0.00006948466,0.01474473],"study_design_scores_gemma":[0.001896966,0.0006976653,0.9814395,0.00005060264,0.00001549687,5.046157e-8,0.01427648,0.00004231396,0.0001237312,0.00004027088,0.001293253,0.000123674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895223,0.00001505409,0.0001987025,0.00004440659,0.0001686013,0.00955602,0.0003998197,0.00008693432,0.000008186896],"genre_scores_gemma":[0.9921564,0.00002337434,0.001118022,0.00009245544,0.00005179341,0.006392372,0.00009459255,0.00004186949,0.00002904569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02139233,"threshold_uncertainty_score":0.7136803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.137149919799658,"score_gpt":0.5559680360890858,"score_spread":0.4188181162894278,"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."}}