{"id":"W4411542299","doi":"10.1177/08404704251351459","title":"Adapt to evaluate: Lessons from a multi-site trial of a digitally enabled care transition intervention","year":2025,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Trillium Health Centre; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; Adaptability; Flexibility (engineering); Vendor; Workflow; Health care; Digital health; Process management; Intervention (counseling); Knowledge management; Nursing; Business; Computer science; Medical education; Medicine; Marketing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.07020175,0.001978556,0.002223652,0.0006920904,0.002311034,0.003312556,0.002575168,0.005211247,0.004268508],"category_scores_gemma":[0.1338483,0.0007254363,0.002693577,0.000851984,0.003012483,0.005666729,0.00337391,0.006429525,0.001146638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00297117,"about_ca_system_score_gemma":0.008454588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003372985,"about_ca_topic_score_gemma":0.009123107,"domain_scores_codex":[0.9295747,0.06006268,0.003466608,0.001932779,0.00290952,0.002053724],"domain_scores_gemma":[0.9335062,0.04720597,0.004256465,0.006803153,0.00384698,0.004381347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1799626,0.1794668,0.01233537,0.009757633,0.006573747,0.001385455,0.01984753,0.00685766,0.003362709,0.01227266,0.04912307,0.5190547],"study_design_scores_gemma":[0.395299,0.4638182,0.02334594,0.006097262,0.004486613,0.0004333627,0.008612297,0.005635207,0.004440982,0.02491368,0.06234826,0.0005693319],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8109828,0.005744129,0.02525896,0.04676032,0.006927004,0.08173417,0.001780334,0.001031056,0.01978135],"genre_scores_gemma":[0.8133578,0.002707402,0.07044298,0.01531965,0.001480945,0.09032108,0.0009403678,0.0002463442,0.005183361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07020175,"threshold_uncertainty_score":0.3712668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04612410155112414,"score_gpt":0.4105728660957224,"score_spread":0.3644487645445983,"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."}}