{"id":"W2070558469","doi":"10.1016/j.jclinepi.2006.04.001","title":"EMBASE search strategies achieved high sensitivity and specificity for retrieving methodologically sound systematic reviews","year":2006,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"MEDLINE; Systematic review; Information retrieval; Medicine; Computer science; Medical physics; Biology","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","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.306051,0.006865446,0.01968313,0.06410795,0.003424256,0.01208999,0.003535508,0.01265521,0.01211823],"category_scores_gemma":[0.7653947,0.004713186,0.02166431,0.02806389,0.0032988,0.01200737,0.01016847,0.004570919,0.005839149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003287331,"about_ca_system_score_gemma":0.00967807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002949101,"about_ca_topic_score_gemma":0.01427371,"domain_scores_codex":[0.6355287,0.1680719,0.155938,0.00888305,0.02773202,0.003846447],"domain_scores_gemma":[0.1626473,0.7493164,0.02462421,0.01786514,0.04378846,0.001758543],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007321342,0.0007714976,0.07642022,0.3507636,0.06909522,0.007672497,0.007429832,0.005219818,0.006835712,0.005568371,0.02954335,0.4333585],"study_design_scores_gemma":[0.01206685,0.003449871,0.1583279,0.1787495,0.3664501,0.01467557,0.005963213,0.02591016,0.01220648,0.0520276,0.1673888,0.002784029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09857413,0.4249381,0.2724873,0.01721718,0.004764916,0.07736496,0.05802741,0.00624251,0.04038363],"genre_scores_gemma":[0.4715652,0.0846293,0.3497657,0.01602465,0.002332673,0.05105949,0.01795976,0.002789616,0.003873547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9803169,"threshold_uncertainty_score":0.8557626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9633625893941528,"score_gpt":0.700253013817999,"score_spread":0.2631095755761538,"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."}}