{"id":"W2767733747","doi":"10.2196/jmir.8309","title":"Is Connected Health Contributing to a Healthier Population?","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"eHealth; mHealth; Health care; Interconnectivity; Internet privacy; Context (archaeology); Digital health; Population health; Quality (philosophy); Computer science; Knowledge management; Business; Data 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":[0.005205453,0.000278145,0.0006343606,0.001806054,0.003457126,0.0077093,0.001093602,0.00557029,0.01995857],"category_scores_gemma":[0.02423444,0.000224392,0.0007466858,0.002116958,0.007003036,0.009779072,0.005256367,0.006183781,0.002272584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141176,"about_ca_system_score_gemma":0.004856834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00748645,"about_ca_topic_score_gemma":0.01025181,"domain_scores_codex":[0.995583,0.002258181,0.0001610412,0.000565965,0.0005371363,0.000894675],"domain_scores_gemma":[0.9908471,0.00293549,0.001253669,0.0004192894,0.001072835,0.003471605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002448763,0.0004449305,0.08343017,0.002180427,0.0002906795,0.001577696,0.04601474,0.0001371208,0.0004250497,0.1964775,0.2828329,0.3859439],"study_design_scores_gemma":[0.0001312537,0.0003576075,0.06786253,0.005616092,0.0003303376,0.002625219,0.06435329,0.0002065495,0.0002780346,0.1155669,0.7425317,0.0001404192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02401906,0.02241187,0.0006792286,0.9110132,0.005512176,0.00004305066,0.0002228714,0.00006090037,0.03603757],"genre_scores_gemma":[0.4918697,0.08892575,0.002676226,0.3810907,0.01887593,0.0002753935,0.0004085927,0.0001578232,0.01571978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01995857,"threshold_uncertainty_score":0.06676799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2488674439218223,"score_gpt":0.6423499995642897,"score_spread":0.3934825556424674,"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."}}