{"id":"W2112732968","doi":"10.1177/1049732306294515","title":"Search Strategies for Identifying Qualitative Studies in CINAHL","year":2007,"lang":"en","type":"article","venue":"Qualitative Health Research","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"CINAHL; Qualitative research; Search engine indexing; Information retrieval; MEDLINE; Health care; Sensitivity (control systems); Computer science; Psychology; Data science; Medicine; World Wide Web; Nursing; Sociology; Psychological intervention; Social science; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1403432,0.003954571,0.00953406,0.112428,0.003123452,0.006534723,0.006405153,0.003191512,0.07770093],"category_scores_gemma":[0.3660486,0.003455574,0.005869079,0.08336525,0.002567653,0.007872128,0.008974535,0.002230549,0.005690354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102174,"about_ca_system_score_gemma":0.03921679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228123,"about_ca_topic_score_gemma":0.02326918,"domain_scores_codex":[0.842356,0.0649288,0.07930426,0.002856489,0.008689824,0.001864591],"domain_scores_gemma":[0.6969388,0.2506793,0.02095367,0.007996876,0.02143846,0.001992882],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.001268571,0.0001104482,0.001330106,0.7229176,0.001640797,0.0008571085,0.00776131,0.0009412283,0.001161763,0.01046034,0.02434174,0.227209],"study_design_scores_gemma":[0.004614012,0.0008591127,0.006119756,0.5865777,0.007661085,0.001241859,0.01275478,0.00217378,0.003389457,0.03510911,0.3388523,0.0006469647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.009722396,0.07104851,0.08817452,0.00727709,0.001137411,0.7085485,0.08125946,0.002967806,0.02986425],"genre_scores_gemma":[0.01298032,0.03799435,0.2304419,0.001071467,0.0001244605,0.7054014,0.008702049,0.0003330012,0.002951132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8596568,"threshold_uncertainty_score":0.7422148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9593391020593197,"score_gpt":0.8391600463489746,"score_spread":0.1201790557103452,"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."}}