{"id":"W2121795537","doi":"10.1186/s13012-015-0295-0","title":"Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the Expert Recommendations for Implementing Change (ERIC) study","year":2015,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1177,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; VA Pittsburgh Healthcare System; VISN 4 Mental Illness Research, Education, and Clinical Center; University of California, San Diego; Quality Enhancement Research Initiative; University of Toronto; Fahs-Beck Fund for Research and Experimentation; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; Health Services Research and Development; University of Washington; NIH Clinical Center; U.S. Department of Veterans Affairs; Washington University in St. Louis; University of California, Los Angeles; University of Massachusetts Boston; Indiana University-Purdue University Indianapolis; University of Minnesota; Harvard University; Purdue University; University of Pennsylvania; University of Arkansas for Medical Sciences; Doris Duke Charitable Foundation","keywords":"Categorization; Computer science; Process management; Process (computing); Implementation research; Consistency (knowledge bases); Health informatics; Management science; Rubric; Best practice; Data science; Knowledge management; Medicine; Psychological intervention; Psychology; Artificial intelligence; Public health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":["metaresearch"],"domain":"methods","study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.250497,0.0009517033,0.001330513,0.006317142,0.00213972,0.005091104,0.001590417,0.001592685,0.001544922],"category_scores_gemma":[0.4363876,0.000721109,0.002487661,0.005288325,0.00317383,0.007216016,0.004803608,0.002697596,0.0002893123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003743334,"about_ca_system_score_gemma":0.007807688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393882,"about_ca_topic_score_gemma":0.005963759,"domain_scores_codex":[0.84048,0.1322745,0.008535169,0.003812241,0.0129389,0.001959186],"domain_scores_gemma":[0.3588172,0.5776743,0.01676528,0.01648377,0.02884589,0.001413499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001007807,0.001807334,0.2126853,0.006254453,0.00134075,0.0002887768,0.2264288,0.003157058,0.0008001199,0.006990977,0.003590471,0.5356482],"study_design_scores_gemma":[0.0007649622,0.005506575,0.5105023,0.01022715,0.002532644,0.0008269643,0.3855039,0.02661095,0.004802988,0.0234831,0.02853872,0.0006996125],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196693,0.001684625,0.04825912,0.002009757,0.00008328604,0.007667126,0.0004387418,0.0001494212,0.02003859],"genre_scores_gemma":[0.9282147,0.00102083,0.06401478,0.0005746068,0.00002293259,0.005138106,0.0002696488,0.0000616145,0.0006828158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.250497,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9472520975401527,"score_gpt":0.6784910235575587,"score_spread":0.268761073982594,"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."}}