{"id":"W4410831424","doi":"10.1186/s13012-025-01436-5","title":"Advancing the selection of implementation science theories, models, and frameworks: a scoping review and the development of the SELECT-IT meta-framework","year":2025,"lang":"en","type":"review","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Jewish General Hospital; McGill University Health Centre; McGill University; Ottawa Hospital","funders":"National Institute of Nursing Research; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; US-UK Fulbright Commission","keywords":"Health informatics; Health services research; Selection (genetic algorithm); Health administration; Medicine; Management science; Public health; Data science; Computer science; Nursing; Artificial intelligence; Engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4540575,0.003789727,0.009768408,0.1056995,0.00786009,0.02605312,0.008991698,0.00752956,0.003959242],"category_scores_gemma":[0.544766,0.004170728,0.01316634,0.06820372,0.009280364,0.03136687,0.0157226,0.008624068,0.001032026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04073268,"about_ca_system_score_gemma":0.1526705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416673,"about_ca_topic_score_gemma":0.02458364,"domain_scores_codex":[0.6338801,0.2241786,0.09204333,0.008285231,0.03854806,0.003064778],"domain_scores_gemma":[0.3893823,0.4775732,0.03224377,0.02077772,0.07704297,0.002980066],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003214019,0.0001942845,0.005369227,0.3438201,0.004012167,0.0005188559,0.03248542,0.003457524,0.0009194318,0.1021219,0.01473566,0.492044],"study_design_scores_gemma":[0.0001969195,0.0002253763,0.002174018,0.8471166,0.006662503,0.0002767688,0.0175448,0.002872741,0.001022053,0.04514164,0.07657698,0.0001895097],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01545862,0.5704244,0.2553858,0.07302298,0.004346487,0.05128083,0.004012142,0.0007464229,0.02532231],"genre_scores_gemma":[0.08471559,0.2923281,0.5277189,0.007524139,0.0006292375,0.08218586,0.003147015,0.0002505875,0.00150062],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5459425,"threshold_uncertainty_score":0.6732444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5346038031945379,"score_gpt":0.7113775130928798,"score_spread":0.1767737098983418,"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."}}