{"id":"W2801358575","doi":"10.2196/cancer.8951","title":"Acceptability of a Mobile Phone App for Measuring Time Use in Breast Cancer Survivors (Life in a Day): Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Mobile phone; Medicine; Psychological intervention; Breast cancer; Phone; Psychology; Multimedia; Gerontology; Cancer; Computer science; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001595178,0.0002814768,0.0008883625,0.0002708151,0.00004413732,0.0000211111,0.0001994852,0.0001501089,0.00221136],"category_scores_gemma":[0.0001388882,0.0002591882,0.000164661,0.0009516446,0.0001670179,0.0002004215,0.0001113047,0.0002584977,0.000007107879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434755,"about_ca_system_score_gemma":0.0005624039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1308104,"about_ca_topic_score_gemma":0.4786189,"domain_scores_codex":[0.9974404,0.0003631077,0.0006802182,0.000633545,0.0003887395,0.0004940105],"domain_scores_gemma":[0.9983544,0.0002757121,0.0001865719,0.0006065229,0.000390437,0.0001864051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00161432,0.0009532623,0.8750175,0.0003438921,0.0000987485,0.000004268413,0.01328515,0.00004927076,0.00335996,0.000001460172,0.0005529856,0.1047192],"study_design_scores_gemma":[0.003754104,0.0003278008,0.9833266,0.0002433582,0.00007693256,0.000002394426,0.004630141,0.0004596637,0.003047179,0.00001256351,0.003821325,0.0002979909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944974,0.0007943193,0.0001359738,0.0001601089,0.0008303992,0.003036074,0.0002923087,0.00005448279,0.0001989051],"genre_scores_gemma":[0.9925422,0.00005567453,0.0002777787,0.0001979278,0.0004425418,0.006052216,0.000008505242,0.00005952316,0.0003636036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3478086,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328995732886765,"score_gpt":0.3785879450240562,"score_spread":0.3452979876951885,"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."}}