{"id":"W2725700675","doi":"10.1111/hir.12185","title":"Is there an optimum number needed to retrieve to justify inclusion of a database in a systematic review search?","year":2017,"lang":"en","type":"review","venue":"Health Information & Libraries Journal","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"CINAHL; Systematic review; MEDLINE; Database; Inclusion (mineral); Computer science; Information retrieval; Bibliographic database; Medicine; Psychology","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":["metaresearch"],"category_scores_codex":[0.5153016,0.002454181,0.02026138,0.03468701,0.00322807,0.01677333,0.006114004,0.00888209,0.01374735],"category_scores_gemma":[0.8734725,0.004152389,0.01856298,0.02603632,0.004766671,0.03211515,0.008692747,0.005752468,0.003240319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01608942,"about_ca_system_score_gemma":0.03008457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309473,"about_ca_topic_score_gemma":0.005871701,"domain_scores_codex":[0.1948242,0.4810716,0.2403779,0.01260525,0.06855384,0.002567221],"domain_scores_gemma":[0.09100047,0.7895424,0.06903972,0.01168047,0.03516467,0.003572288],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01337215,0.0003899204,0.02519097,0.5798172,0.02340104,0.0006124571,0.00312438,0.002364563,0.001155764,0.01017535,0.01858299,0.3218132],"study_design_scores_gemma":[0.02668453,0.009639081,0.06657378,0.6204954,0.0835138,0.004594419,0.007814371,0.02001289,0.00358914,0.0746117,0.08045471,0.002016247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.06124156,0.4854352,0.1891794,0.08300214,0.01389182,0.120757,0.02273563,0.002031777,0.02172542],"genre_scores_gemma":[0.3127742,0.06642027,0.4000671,0.01067713,0.002909765,0.1998167,0.006189245,0.0004576544,0.0006880193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4846984,"threshold_uncertainty_score":0.5977195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8061204638653402,"score_gpt":0.6090243341017225,"score_spread":0.1970961297636177,"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."}}