{"id":"W2519096608","doi":"10.12927/hcq.2016.24696","title":"eHealth Advances in Support of People with Complex Care Needs: Case Examples from Canada, Scotland and the US","year":2016,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Kaiser Permanente","keywords":"eHealth; Best practice; Health care; Telemedicine; Telehealth; Medicine; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002167298,0.0006093688,0.0003992856,0.00161517,0.01723026,0.002648996,0.001184468,0.001833234,0.002331373],"category_scores_gemma":[0.008245783,0.0002483293,0.0004665796,0.004970966,0.003831069,0.001035174,0.00445038,0.001514952,0.0002254772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02869683,"about_ca_system_score_gemma":0.05188682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9296043,"about_ca_topic_score_gemma":0.9721346,"domain_scores_codex":[0.9965854,0.001027428,0.0001611786,0.00008733685,0.0008513919,0.001287283],"domain_scores_gemma":[0.9956309,0.001276222,0.0003754802,0.0001125811,0.001308977,0.001295815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002330913,0.0003969764,0.1123431,0.001008723,0.00005744098,0.07982109,0.5813483,0.0006531507,0.0009287397,0.02626404,0.047742,0.1492033],"study_design_scores_gemma":[0.00005748097,0.0001671463,0.05506629,0.001153245,0.00009650453,0.02153298,0.6917666,0.0005724847,0.0006399878,0.001641337,0.2271886,0.0001174604],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917784,0.006713503,0.001518287,0.02855311,0.000269661,0.000368183,0.0004540288,0.00005411947,0.07029065],"genre_scores_gemma":[0.9747791,0.008630901,0.002975336,0.004052522,0.0000853195,0.0001387758,0.0001497964,0.00003652145,0.009151614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07039571,"threshold_uncertainty_score":0.208211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920303520951114,"score_gpt":0.2919052885825224,"score_spread":0.2727022533730112,"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."}}