{"id":"W2784320835","doi":"10.1177/1460458217749882","title":"Turning challenges into design principles: Telemonitoring systems for patients with multiple chronic conditions","year":2018,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiple Chronic Conditions; Modular design; Telemedicine; Chronic disease; Medicine; Process management; Computer science; Applied psychology; Health care; Psychology; Engineering; Intensive care medicine","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":[0.01847843,0.0007043083,0.0004097674,0.0008506009,0.002860057,0.005004815,0.001435254,0.00207391,0.001302643],"category_scores_gemma":[0.03423799,0.0006368212,0.0006578473,0.0006570685,0.003684258,0.00594927,0.0039109,0.002312,0.0003566188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945204,"about_ca_system_score_gemma":0.0046594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007885194,"about_ca_topic_score_gemma":0.001844565,"domain_scores_codex":[0.979077,0.01612645,0.001119593,0.0006626491,0.002390918,0.0006232232],"domain_scores_gemma":[0.9715162,0.0210016,0.002191067,0.001168384,0.002886076,0.001236644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000395583,0.0008179476,0.04826518,0.007333202,0.0002009855,0.002628052,0.3315243,0.004858189,0.01939776,0.06006158,0.01677143,0.5077457],"study_design_scores_gemma":[0.0002903772,0.003241231,0.04359649,0.008534116,0.0004641241,0.01294172,0.3340184,0.02521553,0.01413549,0.09065032,0.4664509,0.0004612129],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4369366,0.006326887,0.4359764,0.0812036,0.001025104,0.002764845,0.0001097894,0.0006935468,0.03496317],"genre_scores_gemma":[0.6912932,0.002480547,0.2971615,0.004300486,0.0001733623,0.001615959,0.00006940893,0.00008791668,0.002817751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847843,"threshold_uncertainty_score":0.09772444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09420742703221863,"score_gpt":0.3574527793177823,"score_spread":0.2632453522855637,"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."}}