{"id":"W3024336812","doi":"","title":"Infoway's EHR User Engagement Strategy","year":2007,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"","keywords":"Telehealth; Mandate; Work (physics); Stakeholder engagement; Business; Stakeholder; Public relations; Health care; Health informatics; Population health; Population; Knowledge management; Medicine; Nursing; Telemedicine; Political science; Engineering; Computer science; Public health; Environmental health","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00871144,0.0004712419,0.0006777724,0.0003465985,0.001757715,0.00001936895,0.0005697287,0.0007118419,0.0011809],"category_scores_gemma":[0.0003539466,0.0004528356,0.0001412975,0.0008755742,0.00006120669,0.0002382244,0.0001423898,0.004496376,0.001763838],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005312915,"about_ca_system_score_gemma":0.008391107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078418,"about_ca_topic_score_gemma":0.02304135,"domain_scores_codex":[0.9899628,0.001745011,0.00194396,0.0007958521,0.0007878923,0.004764485],"domain_scores_gemma":[0.9957876,0.001204278,0.0006386413,0.0009935424,0.0005094942,0.0008664682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001256057,0.000536608,0.3449061,0.006656507,0.0003948885,0.0001756984,0.0171184,0.00003980553,0.005050167,0.2882004,0.1469675,0.1886979],"study_design_scores_gemma":[0.001822537,0.001170334,0.05764761,0.0002804626,0.00002377587,0.00001742863,0.005284646,0.00004822792,0.0006407342,0.001272504,0.9311904,0.0006013844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8325288,0.0160396,0.005634286,0.01515057,0.004120914,0.008513976,0.0000371088,0.00187047,0.1161043],"genre_scores_gemma":[0.9791182,0.0004641421,0.0002692691,0.005815585,0.001853736,0.0003867176,0.00006917702,0.0001380874,0.01188511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7842228,"threshold_uncertainty_score":0.9997923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09722908234914943,"score_gpt":0.4928084189936973,"score_spread":0.3955793366445479,"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."}}