{"id":"W2083474731","doi":"10.1258/jhsrp.2011.010124","title":"How do we know when research from one setting can be useful in another? A review of external validity, applicability and transferability frameworks","year":2011,"lang":"en","type":"review","venue":"Journal of Health Services Research & Policy","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Transferability; External validity; Computer science; Management science; Critical appraisal; Data science; Psychology; Medicine; Alternative medicine; Social psychology; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.6429697,0.002703096,0.01472526,0.0497372,0.004211107,0.02241596,0.008402553,0.007949045,0.002959718],"category_scores_gemma":[0.8535746,0.004034138,0.01297715,0.03876852,0.0216792,0.04163288,0.01656319,0.009009928,0.0007725051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02660355,"about_ca_system_score_gemma":0.06435972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007116474,"about_ca_topic_score_gemma":0.006726381,"domain_scores_codex":[0.2794421,0.5015219,0.1025383,0.01590135,0.09699366,0.003602582],"domain_scores_gemma":[0.09761819,0.7721201,0.06044131,0.01911683,0.04925258,0.001450874],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004821003,0.0001414554,0.01153216,0.3874616,0.01006298,0.0003304411,0.0203712,0.001185053,0.000388647,0.04427207,0.006252729,0.5175195],"study_design_scores_gemma":[0.0002617612,0.0002364811,0.008546708,0.8677745,0.008382663,0.000401005,0.007789136,0.0008579152,0.0005880002,0.04715571,0.05778502,0.0002210762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003523516,0.9383512,0.01874207,0.03009185,0.001726567,0.001828992,0.0003372294,0.00006163523,0.00533696],"genre_scores_gemma":[0.1615071,0.7549065,0.05304321,0.01450013,0.002325924,0.01224198,0.0007936186,0.0001450382,0.0005364702],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3570303,"threshold_uncertainty_score":0.440282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7747160365059659,"score_gpt":0.7074305443387032,"score_spread":0.06728549216726265,"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."}}