{"id":"W4249380099","doi":"10.21203/rs.2.14912/v2","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Database; Systematic review; Computer science; Information retrieval; 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":["metaresearch"],"category_scores_codex":[0.2989127,0.004733628,0.01442681,0.06024741,0.002566143,0.01186577,0.004385371,0.003832454,0.01007891],"category_scores_gemma":[0.6678776,0.005158646,0.02427345,0.07055701,0.002011324,0.01396191,0.01112114,0.002920531,0.002129922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006785239,"about_ca_system_score_gemma":0.01321644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667662,"about_ca_topic_score_gemma":0.003203565,"domain_scores_codex":[0.3488427,0.3982708,0.1960956,0.01199878,0.04311683,0.001675153],"domain_scores_gemma":[0.2086594,0.6650439,0.05558607,0.02749285,0.04130111,0.001916759],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01099905,0.001020646,0.0305965,0.4504574,0.06605867,0.0006838167,0.00688245,0.004429318,0.002814498,0.006260526,0.004922368,0.4148748],"study_design_scores_gemma":[0.0295921,0.01746364,0.05299223,0.3726867,0.3854943,0.004204062,0.009343742,0.02425519,0.00819598,0.02809668,0.06582911,0.001846361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.1193618,0.4300364,0.2094888,0.004324422,0.001267806,0.2037293,0.01704773,0.00163934,0.01310433],"genre_scores_gemma":[0.2063777,0.06880893,0.5293204,0.001230696,0.0004644766,0.1876423,0.005292116,0.0002873806,0.0005758807],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7010873,"threshold_uncertainty_score":0.8645655,"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."}}