{"id":"W7010893382","doi":"","title":"Leveraging Digital Health Tools for Better Management and Care","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Health care; Chronic disease; Chronic care; MEDLINE; Telemedicine; Multiple Chronic Conditions","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004640178,0.0003726686,0.0003239772,0.003245771,0.001315533,0.00674231,0.0008142992,0.00124444,0.01825834],"category_scores_gemma":[0.0115244,0.0002147837,0.000719378,0.003654191,0.001901507,0.007557013,0.003464862,0.001902632,0.003176479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744749,"about_ca_system_score_gemma":0.007615716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008853052,"about_ca_topic_score_gemma":0.0196641,"domain_scores_codex":[0.9974571,0.001086167,0.0002147985,0.0001589578,0.0008929655,0.000190109],"domain_scores_gemma":[0.9920064,0.0049092,0.0005703763,0.0005830633,0.001402606,0.0005283537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002348163,0.0001263593,0.002954348,0.004531303,0.00005111494,0.0002508063,0.01296565,0.0002047048,0.00135426,0.04168694,0.08138624,0.8544648],"study_design_scores_gemma":[0.00001014078,0.00004385164,0.004212102,0.007846733,0.00005127744,0.0002352041,0.005796482,0.0000849736,0.0007237954,0.007280634,0.9736915,0.00002333765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03309921,0.187615,0.01988278,0.1215192,0.003078054,0.0009114916,0.001831406,0.0006798605,0.6313831],"genre_scores_gemma":[0.288909,0.4685139,0.08915581,0.02743636,0.002137991,0.0006979944,0.001704368,0.0003124348,0.1211321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01825834,"threshold_uncertainty_score":0.06108022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293816408117575,"score_gpt":0.2766203574499573,"score_spread":0.2436821933687815,"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."}}