{"id":"W40025829","doi":"10.1016/s0167-5273(03)00093-7","title":"Information and communication technology in cardiovascular disease prevention in developing countries: hype and hope","year":2003,"lang":"en","type":"article","venue":"International Journal of Cardiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Canadian Institutes of Health Research","funders":"","keywords":"Medicine; Relevance (law); Information technology; Disease; Boom; Exploit; Public relations; Information exchange; Information overload; Internet privacy; Risk analysis (engineering); Computer security; Telecommunications; Computer science; Political science","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":[0.01918877,0.0008326021,0.001272173,0.00131532,0.00357937,0.01076291,0.001652917,0.01553238,0.006337339],"category_scores_gemma":[0.02232246,0.0004867759,0.001099707,0.001599856,0.01427555,0.02519616,0.005434636,0.01450099,0.001141146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934043,"about_ca_system_score_gemma":0.006653918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724034,"about_ca_topic_score_gemma":0.006588114,"domain_scores_codex":[0.9955006,0.002344927,0.0003404135,0.0002811608,0.0008441808,0.0006885074],"domain_scores_gemma":[0.9544038,0.03390742,0.002370855,0.001490143,0.004231523,0.003596364],"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":[0.001256609,0.001520467,0.01230785,0.003102672,0.0003770683,0.001114949,0.01361268,0.0009340534,0.001651559,0.2357886,0.1750357,0.5532979],"study_design_scores_gemma":[0.001075614,0.001834679,0.01514808,0.007689512,0.000355204,0.001843471,0.04270845,0.003109288,0.0009887748,0.3051933,0.6197443,0.0003093452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008965315,0.2011799,0.001754284,0.7668702,0.004800131,0.00003505821,0.00007300977,0.00005792051,0.01626414],"genre_scores_gemma":[0.3567635,0.2853476,0.007631708,0.2933467,0.04774661,0.0002231082,0.0001100064,0.00005242333,0.008778403],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01918877,"threshold_uncertainty_score":0.1014811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669825544815596,"score_gpt":0.3873468757630193,"score_spread":0.3606486203148634,"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."}}