{"id":"W2956597415","doi":"","title":"Cumulative Benefits of Digital Health Investments in Canada","year":2017,"lang":"en","type":"article","venue":"International Conference on eHealth, Telemedicine, and Social Medicine","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Health Infoway","funders":"","keywords":"Digital health; Business; Computer science; Economics; Health care; Economic growth","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":[0.00122053,0.0002759413,0.0004637131,0.002265915,0.002362988,0.005362965,0.001019285,0.001416362,0.008913818],"category_scores_gemma":[0.01230592,0.0002392864,0.0005897617,0.005542153,0.001229089,0.001409941,0.002165024,0.002127017,0.0003281175],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09419668,"about_ca_system_score_gemma":0.08868285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889435,"about_ca_topic_score_gemma":0.9953395,"domain_scores_codex":[0.9972843,0.0001670468,0.00009281819,0.0001526323,0.00119635,0.001106771],"domain_scores_gemma":[0.9845106,0.001908861,0.001520042,0.000299413,0.00750284,0.004258142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001858372,0.0007348376,0.7456048,0.0003029916,0.0004244045,0.0008747793,0.002656033,0.01289378,0.00052344,0.03744625,0.05946657,0.1372139],"study_design_scores_gemma":[0.0001341978,0.00021853,0.9288402,0.0002622094,0.000355761,0.00015302,0.009355493,0.007305151,0.0006628628,0.003060811,0.04955117,0.0001007124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105717,0.005449497,0.0002266321,0.02767492,0.0001953592,0.00008214584,0.01296553,0.00006201261,0.04277221],"genre_scores_gemma":[0.9882808,0.001780474,0.0000904546,0.0005159028,0.00004301089,0.00000868088,0.001043642,0.0000070541,0.008230121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9058033,"threshold_uncertainty_score":0.683448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080592731589761,"score_gpt":0.4069425958565181,"score_spread":0.2988833226975419,"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."}}