{"id":"W4206579971","doi":"10.2196/preprints.36265","title":"Navigating the Systemic Conditions of a Digital Health Ecosystem in Alberta, Canada (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital ecosystem; Digital health; Business; Intermediary; Value proposition; Productivity; Preprint; Ecosystem health; Ecosystem; Ecosystem services; Knowledge management; Psychological intervention; Public relations; Health care; Environmental resource management; Marketing; Medicine; Political science; Nursing; Computer science; Economics; Ecology; Economic growth; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002346951,0.0002062012,0.0001949906,0.001170534,0.01528159,0.007403652,0.001011476,0.0009013123,0.005045515],"category_scores_gemma":[0.003192606,0.0002588762,0.0002028858,0.003274382,0.008063338,0.00152349,0.003676868,0.001032878,0.0001702023],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1372389,"about_ca_system_score_gemma":0.218313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909796,"about_ca_topic_score_gemma":0.9967733,"domain_scores_codex":[0.998102,0.0003896704,0.00006790889,0.0001832281,0.0005428891,0.0007142778],"domain_scores_gemma":[0.9967535,0.0009337383,0.0002330811,0.00008079803,0.0009018001,0.001096999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001418573,0.0001346628,0.1927716,0.001585068,0.00006654781,0.00924168,0.4542558,0.002475791,0.004797583,0.1140716,0.06562057,0.1548373],"study_design_scores_gemma":[0.00001197799,0.00004296075,0.1320564,0.0006911709,0.00004764673,0.0005656957,0.649273,0.0006500803,0.0009763082,0.004469255,0.2111391,0.00007650859],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7836335,0.007846378,0.002688386,0.04507668,0.0002692629,0.0003381534,0.001465418,0.0001066965,0.1585756],"genre_scores_gemma":[0.9772824,0.002796682,0.002157413,0.002042855,0.00001712274,0.0000398223,0.0002256532,0.00001570423,0.01542237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8627611,"threshold_uncertainty_score":0.9957423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737236997666169,"score_gpt":0.254318746506047,"score_spread":0.2369463765293853,"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."}}