{"id":"W2983615479","doi":"10.2196/12277","title":"Valuing Citizen Access to Digital Health Services: Applied Value-Based Outcomes in the Canadian Context and Tools for Modernizing Health Systems","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"Australian Government","keywords":"Digital health; Business; Context (archaeology); Health care; HRHIS; eHealth; Health information technology; Health policy; Public relations; Health services; Internet privacy; Nursing; Medicine; Public health; Environmental health; Computer science; Political science; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008331275,0.0007705824,0.0006928985,0.005746101,0.005790902,0.008065203,0.001665753,0.001226385,0.003926826],"category_scores_gemma":[0.02721618,0.0002886004,0.001026885,0.009627763,0.008711306,0.004002287,0.004238481,0.002023523,0.0001021406],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.147371,"about_ca_system_score_gemma":0.1028268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9720464,"about_ca_topic_score_gemma":0.9662779,"domain_scores_codex":[0.9942678,0.002588012,0.0001501408,0.0004529646,0.001507879,0.001033081],"domain_scores_gemma":[0.986671,0.006216502,0.001247721,0.0006108171,0.00397367,0.001280285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001416978,0.0002077993,0.1474778,0.0006852244,0.0002664104,0.0004190698,0.0131935,0.03772042,0.0002859255,0.7044248,0.007629354,0.08754801],"study_design_scores_gemma":[0.0001017028,0.0002484325,0.275734,0.001969876,0.0004989112,0.0002403739,0.04160913,0.1878248,0.0008155216,0.4091456,0.08136391,0.0004475906],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6556901,0.005886773,0.05392637,0.04648157,0.0001898748,0.0008600388,0.004072414,0.0001219868,0.2327708],"genre_scores_gemma":[0.9903165,0.0008751287,0.007178779,0.000213768,0.00001462191,0.00006716759,0.0002020788,0.00001068814,0.001121248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8526289,"threshold_uncertainty_score":0.9889287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1703837010164451,"score_gpt":0.4956271925615572,"score_spread":0.325243491545112,"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."}}