{"id":"W3190109267","doi":"10.1136/bmj.n1679","title":"Adapting interventions to new contexts—the ADAPT guidance","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":509,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Economic and Social Research Council; Medical Research Council; National Institute for Health and Care Research; Cancer Research UK; Llywodraeth Cymru; Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement; RAND Corporation; Health and Care Research Wales; British Heart Foundation; Scottish Government; United Kingdom Clinical Research Collaboration; Wellcome Trust","keywords":"Psychological intervention; Context (archaeology); Adaptation (eye); Computer science; Intervention (counseling); Knowledge management; Management science; Risk analysis (engineering); Data science; Process management; Medicine; Psychology; Business; Nursing; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0728601,0.00343956,0.002643052,0.005891557,0.002235128,0.005496467,0.006510531,0.01617437,0.01262526],"category_scores_gemma":[0.1852535,0.001952281,0.007411527,0.002999752,0.004486474,0.007053309,0.01157456,0.01804484,0.008841474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005220487,"about_ca_system_score_gemma":0.02984828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138966,"about_ca_topic_score_gemma":0.03594445,"domain_scores_codex":[0.9260592,0.04682792,0.009108901,0.001886812,0.01445117,0.001666104],"domain_scores_gemma":[0.9043836,0.07081021,0.004041572,0.006284347,0.01189261,0.002587573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002235927,0.0005177325,0.001398798,0.01004006,0.0004180831,0.0003979414,0.003090116,0.003309754,0.0006209924,0.04413874,0.4599771,0.475867],"study_design_scores_gemma":[0.0005927852,0.0003288602,0.002394775,0.02806216,0.0007521592,0.000722597,0.001133833,0.002322339,0.001281978,0.06398626,0.898148,0.0002742826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.004412204,0.04176375,0.23112,0.5787619,0.0236952,0.01009668,0.004103509,0.005341764,0.100705],"genre_scores_gemma":[0.01713928,0.04331471,0.7924,0.1094995,0.002191101,0.01200516,0.00303144,0.0009347992,0.01948402],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0728601,"threshold_uncertainty_score":0.3853256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7474876867684302,"score_gpt":0.7205213397573331,"score_spread":0.02696634701109712,"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."}}