{"id":"W3000482183","doi":"10.3389/fvets.2020.00011","title":"Scoping Reviews, Systematic Reviews, and Meta-Analysis: Applications in Veterinary Medicine","year":2020,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Systematic review; Management science; Warrant; Meta-analysis; MEDLINE; Data science; Medicine; Computer science; Psychology; Pathology; Engineering; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.147558,0.0005472316,0.01359311,0.002370427,0.0002517588,0.0005024521,0.003792343,0.00007884441,0.001015703],"category_scores_gemma":[0.03303298,0.0002665549,0.001882789,0.01878974,0.0006759493,0.0009744211,0.0005330494,0.0002740994,0.0002678746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009162913,"about_ca_system_score_gemma":0.00009854494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001472011,"about_ca_topic_score_gemma":0.000005790103,"domain_scores_codex":[0.967128,0.01334716,0.01283784,0.002406713,0.003733039,0.0005472116],"domain_scores_gemma":[0.9886722,0.001860811,0.004797064,0.003879588,0.000326611,0.0004637147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003299494,0.001577424,0.135759,0.436163,0.07255735,0.001427016,0.08515404,0.004133055,0.01424152,0.01191028,0.2024205,0.03432689],"study_design_scores_gemma":[0.002090592,0.004321001,0.02896047,0.01430845,0.3069013,0.0004194239,0.02056183,0.1793959,0.00001872325,0.008182515,0.4296645,0.005175309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03403964,0.6597852,0.2722248,0.006315071,0.0007036016,0.02340054,0.00002845422,0.00003568246,0.003466971],"genre_scores_gemma":[0.8556895,0.01001892,0.1223673,0.004804332,0.0001573218,0.004645451,0.00001739388,0.00004497554,0.002254901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8216498,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.794941650104455,"score_gpt":0.5326584708263854,"score_spread":0.2622831792780697,"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."}}