{"id":"W2412272856","doi":"10.3163/1536-5050.104.1.007","title":"Performance of a mixed filter to identify relevant studies for mixed studies reviews","year":2016,"lang":"en","type":"article","venue":"Journal of the Medical Library Association JMLA","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information retrieval; Computer science; Filter (signal processing); Data collection; Data science; Data mining; Statistics; Mathematics","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":[0.4615221,0.004767797,0.008856321,0.02313989,0.004824506,0.008166389,0.004383223,0.005611481,0.009157011],"category_scores_gemma":[0.7747024,0.002651842,0.01942484,0.01528708,0.00194558,0.006164938,0.00757209,0.002515866,0.001286513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004780494,"about_ca_system_score_gemma":0.01642652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005597441,"about_ca_topic_score_gemma":0.006753873,"domain_scores_codex":[0.511065,0.3280884,0.1049822,0.02239866,0.03042939,0.003036441],"domain_scores_gemma":[0.1353104,0.7801661,0.02357002,0.0269012,0.03258392,0.001468307],"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":[0.02006147,0.0008142749,0.09423123,0.07163377,0.05327279,0.001361284,0.01144007,0.01081602,0.007302807,0.01567587,0.02233698,0.6910535],"study_design_scores_gemma":[0.02044217,0.01583774,0.1500303,0.04400686,0.1612199,0.004160406,0.008466192,0.2299354,0.04925114,0.1153427,0.1980863,0.003221055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05880998,0.01085679,0.8608255,0.002947894,0.001420631,0.0509053,0.006094635,0.003811603,0.004327614],"genre_scores_gemma":[0.1043797,0.0009186444,0.8417168,0.0009257492,0.0002125616,0.04906795,0.001830742,0.0003205228,0.0006274052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5384779,"threshold_uncertainty_score":0.6640391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5766345916029189,"score_gpt":0.5244094733690201,"score_spread":0.05222511823389875,"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."}}