{"id":"W2911548191","doi":"10.1017/s0266462318003720","title":"Selecting digital health technologies for validation and piloting by healthcare providers: a decision-making perspective from ontario","year":2019,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thunder Bay Regional Research Institute","funders":"","keywords":"Health care; Digital health; Perspective (graphical); Process (computing); Health technology; Business; Knowledge management; Computer science; Medicine; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02866588,0.0004539737,0.0004508523,0.002817089,0.01420365,0.01127519,0.002072231,0.001698398,0.002954569],"category_scores_gemma":[0.04885117,0.0006301065,0.0006790927,0.004049187,0.007781622,0.003176754,0.0039081,0.001501615,0.0002437127],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1431497,"about_ca_system_score_gemma":0.2273681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9574092,"about_ca_topic_score_gemma":0.9768046,"domain_scores_codex":[0.9710106,0.01200951,0.001907879,0.001199255,0.009951101,0.003921677],"domain_scores_gemma":[0.933302,0.0335931,0.003634962,0.001476818,0.02088447,0.007108648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008438061,0.0007614553,0.3172173,0.002139925,0.0002712998,0.004520426,0.2034251,0.009120501,0.005502588,0.1686746,0.04910001,0.2384229],"study_design_scores_gemma":[0.0003716375,0.0006060897,0.2057237,0.003288313,0.0004171577,0.0009153313,0.2884835,0.02905523,0.005574114,0.04593211,0.4189209,0.0007118703],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6115334,0.00511856,0.02506073,0.1537935,0.0002266279,0.002245376,0.001290138,0.000122625,0.200609],"genre_scores_gemma":[0.9596791,0.0032335,0.02471105,0.00315407,0.0000615586,0.0002581529,0.0002669258,0.0000342407,0.008601334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1431497,"threshold_uncertainty_score":0.993825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229187322694046,"score_gpt":0.4586503439127059,"score_spread":0.4357316116433013,"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."}}