{"id":"W4391932666","doi":"10.3233/shti231307","title":"From Blueprint to Best Practice: Gauging the Efficacy of Digital Health Solutions","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Blueprint; Agile software development; Lagging; Pace; Ingenuity; Health care; Digital health; Computer science; Process management; Operationalization; Bridge (graph theory); Risk analysis (engineering); Management science; Knowledge management; Data science; Engineering; Business; Political science; Medicine; Software engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3128306,0.001341603,0.001663405,0.01135623,0.004383094,0.02428819,0.003271,0.006334769,0.004941721],"category_scores_gemma":[0.6328954,0.0008392172,0.001198916,0.006878883,0.01900509,0.02659063,0.0179862,0.006512412,0.001097892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01868305,"about_ca_system_score_gemma":0.02043352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488907,"about_ca_topic_score_gemma":0.003043066,"domain_scores_codex":[0.5847673,0.2998931,0.02038742,0.01283098,0.07624516,0.005876077],"domain_scores_gemma":[0.264071,0.6004604,0.04073527,0.03087674,0.05692892,0.006927706],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00141207,0.00106998,0.1069446,0.004630002,0.001119266,0.0002752694,0.03246923,0.01677762,0.002347938,0.3262921,0.01307682,0.4935851],"study_design_scores_gemma":[0.0004552924,0.005477308,0.07206561,0.01171994,0.0007291941,0.0003302296,0.06272407,0.05361848,0.01055737,0.7221523,0.05956248,0.0006077359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4110404,0.01167066,0.2625634,0.1304389,0.001436743,0.004707904,0.00125964,0.0009545597,0.1759278],"genre_scores_gemma":[0.9390935,0.000877791,0.05524324,0.00250859,0.00009783688,0.001307308,0.0001063795,0.00009735809,0.0006678334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6871694,"threshold_uncertainty_score":0.8474022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3583848027965743,"score_gpt":0.5006452444390083,"score_spread":0.142260441642434,"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."}}