{"id":"W4312095472","doi":"10.2196/36265","title":"Navigating the Systemic Conditions of a Digital Health Ecosystem in Alberta, Canada: Embedded Case Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Digital ecosystem; Digital health; Intermediary; Business; Value proposition; Productivity; Knowledge management; Public relations; mHealth; Ecosystem health; Ecosystem; Marketing; Environmental resource management; Ecosystem services; Health care; Medicine; Nursing; Political science; Psychological intervention; Ecology; Computer science; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002992499,0.0004194725,0.0002844352,0.001714021,0.02036431,0.004430884,0.002121517,0.001309192,0.003150177],"category_scores_gemma":[0.003650108,0.0003241681,0.0002592925,0.003716719,0.007165235,0.001163041,0.004360647,0.001336011,0.0001529078],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1263868,"about_ca_system_score_gemma":0.1456254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794821,"about_ca_topic_score_gemma":0.9941551,"domain_scores_codex":[0.9972981,0.0007961832,0.00007994095,0.0002119664,0.0005563996,0.001057551],"domain_scores_gemma":[0.9962082,0.001415572,0.0003038444,0.0001550631,0.0008376573,0.001079586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002888534,0.0004781873,0.1507143,0.0009069006,0.00005983078,0.03373893,0.6821588,0.004104947,0.003583246,0.04218196,0.01019665,0.07158737],"study_design_scores_gemma":[0.00002100422,0.00008925001,0.05104581,0.0004049455,0.00004147689,0.0009432147,0.8909729,0.001730948,0.000805391,0.002052587,0.05183899,0.00005346915],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596971,0.001176318,0.001869613,0.003647132,0.00004037168,0.000436518,0.0004100399,0.00002287874,0.03269994],"genre_scores_gemma":[0.9901546,0.0009086428,0.002277226,0.0005605403,0.000007249104,0.00009039461,0.0001169713,0.000007678905,0.00587666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8736132,"threshold_uncertainty_score":0.9170046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08062685652162213,"score_gpt":0.4986153880736841,"score_spread":0.4179885315520619,"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."}}