{"id":"W2325280490","doi":"10.1377/hlthaff.2014.0424","title":"A Comparison Of How Four Countries Use Health IT To Support Care For People With Chronic Conditions","year":2014,"lang":"en","type":"article","venue":"Health Affairs","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Information and Communications Technology; Globe; Health care; Telemedicine; eHealth; Medicine; Chronic care; Business; Economic growth; Public relations; Nursing; Political science","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":[0.003906419,0.0002736476,0.0003499722,0.002854153,0.002106756,0.003650617,0.000458288,0.0007787243,0.001864991],"category_scores_gemma":[0.01518425,0.0002678991,0.0009174717,0.004464443,0.00152479,0.004639077,0.004210633,0.0007039328,0.0001753325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003048785,"about_ca_system_score_gemma":0.002570021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03452307,"about_ca_topic_score_gemma":0.05759319,"domain_scores_codex":[0.9952865,0.002487943,0.0007238705,0.0002257479,0.0004275559,0.000848346],"domain_scores_gemma":[0.9915139,0.004031749,0.001981043,0.0002523087,0.001452528,0.0007685209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005287135,0.0002161255,0.7629703,0.001162188,0.0003631354,0.0007680084,0.1581288,0.0006213294,0.0003903385,0.00444539,0.00338423,0.0670216],"study_design_scores_gemma":[0.00005769287,0.0002835389,0.6281962,0.0008497313,0.0001798884,0.0004762887,0.3562712,0.0004608184,0.0002047625,0.0006233684,0.01234002,0.0000563811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986985,0.001410316,0.0001928497,0.001551084,0.0000294237,0.0000450734,0.0004318165,0.000007081361,0.009347378],"genre_scores_gemma":[0.9975671,0.001182034,0.0002095994,0.0003657039,0.000008707477,0.00003983851,0.0002655271,0.000004559849,0.0003571055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03452307,"threshold_uncertainty_score":0.06864423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0872220734344601,"score_gpt":0.4614484780872966,"score_spread":0.3742264046528365,"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."}}