{"id":"W2291171653","doi":"10.2196/iproc.4637","title":"Evaluating Acceptability of Cellular Glucose Meter Use in a Diabetes Care Management Program: A Qualitative Study","year":2015,"lang":"en","type":"article","venue":"Iproceedings","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upload; Glucose meter; Computer science; Process (computing); Diabetes management; Health care; Medicine; Diabetes mellitus; Risk analysis (engineering); World Wide Web; Type 2 diabetes; Operating system","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":[0.004631249,0.0002142056,0.0004958416,0.000242161,0.0002945141,0.000015397,0.0002636436,0.0001381392,0.00009578172],"category_scores_gemma":[0.0009137152,0.0001945606,0.00005873472,0.0008062545,0.00007198386,0.0002792546,0.0002311842,0.0004987719,0.0001060405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004634787,"about_ca_system_score_gemma":0.0003608647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008546393,"about_ca_topic_score_gemma":0.0003728305,"domain_scores_codex":[0.9962175,0.0005875826,0.001259057,0.000569478,0.0005795367,0.0007867692],"domain_scores_gemma":[0.9972283,0.0004814374,0.0005069704,0.0003707066,0.001002983,0.0004095943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001735774,0.001134231,0.497805,0.003261438,0.00003231458,0.000001271178,0.4320409,0.000002735806,0.0001961369,0.0007994007,0.0006947441,0.06385827],"study_design_scores_gemma":[0.003887679,0.001230674,0.1151167,0.0001776102,0.00008114397,6.36206e-8,0.871917,0.000282579,0.0002075197,0.001182177,0.005687512,0.0002293307],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821893,0.0002790619,0.00001996365,0.0001787338,0.0001548209,0.01447945,0.0000260301,0.0001338584,0.002538766],"genre_scores_gemma":[0.9595175,0.00001286739,0.008550053,0.0002630244,0.00006479344,0.03145849,0.00002453537,0.00003110169,0.00007760293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4398761,"threshold_uncertainty_score":0.7933952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2335846797014322,"score_gpt":0.5497548745219109,"score_spread":0.3161701948204787,"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."}}