{"id":"W4239204192","doi":"10.21203/rs.2.14912/v3","title":"Database combinations to retrieve systematic reviews in Overviews of reviews: A methodological study","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Database; Information retrieval; Systematic review; Data science; Political science; MEDLINE","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":[0.1277993,0.004892521,0.01819634,0.05705925,0.002419144,0.02180653,0.004604337,0.004436795,0.02162515],"category_scores_gemma":[0.5080125,0.00570313,0.02804292,0.05921895,0.001074536,0.01537345,0.009721583,0.003074952,0.003733173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003924674,"about_ca_system_score_gemma":0.01094343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002180935,"about_ca_topic_score_gemma":0.005224288,"domain_scores_codex":[0.644133,0.2093503,0.1149682,0.01063844,0.01935834,0.00155179],"domain_scores_gemma":[0.3747362,0.5445759,0.02926333,0.02798765,0.02138834,0.002048527],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02923698,0.001214326,0.01704275,0.3281062,0.1717852,0.0006418152,0.002402826,0.004633757,0.002933203,0.008459891,0.01168743,0.4218556],"study_design_scores_gemma":[0.03901658,0.008878561,0.02195466,0.0930646,0.6813256,0.003946998,0.00268168,0.02095507,0.007833345,0.05343321,0.06572699,0.001182756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.08608072,0.6006468,0.1687831,0.003575814,0.001785917,0.05029887,0.07283554,0.002515866,0.01347737],"genre_scores_gemma":[0.2777585,0.1251785,0.5143009,0.001466784,0.0007335932,0.04878357,0.02892909,0.0009578309,0.001891258],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8722007,"threshold_uncertainty_score":0.6758752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9793227972626526,"score_gpt":0.7303971584044431,"score_spread":0.2489256388582095,"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."}}