{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2622436,0.0002471064,0.0007269702,0.002146479,0.004132273,0.00006445553,0.0005879616,0.0002283368,0.0001489517],"category_scores_gemma":[0.01865593,0.0002136968,0.0000823441,0.003786652,0.001412227,0.0008103515,0.0002506123,0.002907345,0.0004679831],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003603151,"about_ca_system_score_gemma":0.01290075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050301,"about_ca_topic_score_gemma":0.01308638,"domain_scores_codex":[0.9574424,0.03117676,0.002293875,0.0009995081,0.002725655,0.005361788],"domain_scores_gemma":[0.9110003,0.08193754,0.0003393279,0.0005082872,0.004995848,0.001218668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004495472,0.0001371924,0.0006330609,0.005245551,0.00002116176,0.000004853732,0.8754178,0.000004575246,0.00009561748,0.07647624,0.03840817,0.00310625],"study_design_scores_gemma":[0.001026281,0.0009279047,0.00422306,0.0008694612,8.071862e-7,4.854105e-7,0.9131458,0.00009869067,0.00003471027,0.07183846,0.007671313,0.0001630196],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107872,0.006676915,0.02120729,0.04122226,0.001836214,0.01068349,0.0001146806,0.0001244157,0.007347514],"genre_scores_gemma":[0.9787731,0.001239191,0.01008936,0.001686889,0.0008424898,0.002418047,0.0000624414,0.00005643926,0.004832055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2435877,"threshold_uncertainty_score":0.999393,"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."}}