{"id":"W6902223713","doi":"10.6084/m9.figshare.12414353","title":"Additional file 2 of Database combinations to retrieve systematic reviews in overviews of reviews: a methodological study","year":2020,"lang":"en","type":"article","venue":"Figshare","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":"Table (database); Systematic review; File format; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007566391,0.002101099,0.003596259,0.01384007,0.0009893685,0.003792735,0.002319737,0.002131171,0.8629293],"category_scores_gemma":[0.1123969,0.001599903,0.002993156,0.01947842,0.0004473235,0.004213091,0.002667156,0.001324231,0.09542279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002783525,"about_ca_system_score_gemma":0.005440732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005067352,"about_ca_topic_score_gemma":0.01080214,"domain_scores_codex":[0.9944945,0.001284705,0.002553464,0.0006517262,0.0006584402,0.0003570766],"domain_scores_gemma":[0.8391685,0.1296146,0.01264525,0.004057702,0.01296208,0.00155186],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002479844,0.0001846268,0.002467135,0.172388,0.0009065773,0.0001444143,0.0002668178,0.0007855248,0.0003744673,0.003275887,0.7914405,0.02528615],"study_design_scores_gemma":[0.02864874,0.0006941688,0.01851,0.060162,0.003264237,0.0005262056,0.0007038136,0.002009994,0.001311832,0.01855926,0.8652822,0.0003275212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001793352,0.0001809121,0.0003944568,0.0001329536,0.00003510577,0.0007334493,0.9969947,0.0003225036,0.001026482],"genre_scores_gemma":[0.01085858,0.001645136,0.01853857,0.001374671,0.0003127407,0.03780921,0.9146268,0.001821486,0.01301274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9924336,"threshold_uncertainty_score":0.1955146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.950823843110015,"score_gpt":0.593559542726509,"score_spread":0.357264300383506,"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."}}