{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380145,0.0002578694,0.0008465985,0.0003127273,0.0003012705,0.00001798383,0.0002566685,0.00007776519,0.0002511314],"category_scores_gemma":[0.0005169124,0.0002094761,0.00003405441,0.0001063129,0.0003966049,0.00019199,0.00005366198,0.0004073303,0.000002109836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006413942,"about_ca_system_score_gemma":0.002591808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5805573,"about_ca_topic_score_gemma":0.4216646,"domain_scores_codex":[0.9968801,0.00005524639,0.001121688,0.0003938011,0.001100552,0.0004485888],"domain_scores_gemma":[0.997919,0.0001537095,0.000917165,0.0002736558,0.0003696227,0.0003668202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000794457,0.0002206595,0.5782438,0.0005939004,0.0001378677,0.00006211471,0.007357369,0.000001732093,0.00003580529,0.06702345,0.007814826,0.337714],"study_design_scores_gemma":[0.009058149,0.001760828,0.9721594,0.001104949,0.00003137526,0.00002920112,0.008798822,0.0004344017,0.00002243409,0.0018528,0.004577766,0.0001699073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7665396,0.0002152307,0.00003521417,0.2133479,0.0009252078,0.0008235828,0.0001434498,0.00001895152,0.01795083],"genre_scores_gemma":[0.9886297,0.0008868842,0.0000688799,0.009133139,0.0007547438,0.00002654374,0.0002923299,0.00001963912,0.0001881503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3939156,"threshold_uncertainty_score":0.8542187,"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."}}