{"id":"W2789277806","doi":"10.2196/humanfactors.9049","title":"Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review","year":2018,"lang":"en","type":"review","venue":"JMIR Human Factors","topic":"Diabetes Management and Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Oxford Brookes University","keywords":"Logging; Data science; Type 2 diabetes; Diabetes mellitus; Medicine; Computer science; Biology; Ecology; Endocrinology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003743387,0.0006691579,0.003029744,0.0005352213,0.0002360418,0.00007574858,0.0009004042,0.0002032457,0.00002579327],"category_scores_gemma":[0.00083411,0.0002567505,0.0001195361,0.001013189,0.0007183008,0.0002763519,0.0003888181,0.0004705441,0.000003039343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006879004,"about_ca_system_score_gemma":0.0002486299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003773504,"about_ca_topic_score_gemma":0.0000982994,"domain_scores_codex":[0.9974553,0.0001336018,0.0006985172,0.0007756757,0.0004714052,0.000465513],"domain_scores_gemma":[0.9960111,0.000665425,0.001003168,0.001584613,0.0006380818,0.00009763928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001620961,0.00009292933,0.000749145,0.9895999,0.001063685,0.000002317226,0.0003419452,2.344685e-8,8.992699e-7,0.00003292212,0.002145358,0.005954594],"study_design_scores_gemma":[0.0004531317,0.002390609,0.00005366434,0.7462565,0.003296554,0.000001264194,0.0008352235,0.00000130032,0.000006923022,0.000005339235,0.2463481,0.00035145],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01439681,0.9707288,0.000006483102,0.0000424014,0.0000323144,0.01451594,0.0001355785,0.00009544368,0.00004623947],"genre_scores_gemma":[0.004334923,0.9907048,0.0001411797,0.00003934206,0.00005762743,0.00133155,0.001831878,0.0001550249,0.001403704],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2442027,"threshold_uncertainty_score":0.9999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1458826906462066,"score_gpt":0.4131362052991384,"score_spread":0.2672535146529318,"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."}}