{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3294722,0.006766264,0.02291436,0.0851632,0.004213118,0.02473468,0.006376074,0.01695419,0.02866787],"category_scores_gemma":[0.6609831,0.006548214,0.02046026,0.09409637,0.007877049,0.01770463,0.02053681,0.01283127,0.006865062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01393707,"about_ca_system_score_gemma":0.04824318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005660043,"about_ca_topic_score_gemma":0.01036802,"domain_scores_codex":[0.5960111,0.3081024,0.05832331,0.008646355,0.0272745,0.001642394],"domain_scores_gemma":[0.1643283,0.760085,0.02851485,0.014685,0.03022706,0.00215963],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003010004,0.0001184808,0.001332466,0.3055458,0.008561373,0.0003139481,0.002200525,0.004258871,0.0002598184,0.03741266,0.05832481,0.5813703],"study_design_scores_gemma":[0.0006932612,0.0002912356,0.002104749,0.5930431,0.008650469,0.000694541,0.002087572,0.007272507,0.0004347637,0.2083522,0.1758447,0.0005309136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0005982472,0.8148867,0.1195251,0.0326225,0.006778938,0.009808517,0.003218391,0.00233951,0.0102222],"genre_scores_gemma":[0.01043172,0.5968123,0.3549209,0.005018825,0.003712132,0.0266496,0.001020058,0.0004736712,0.0009607208],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6705278,"threshold_uncertainty_score":0.8268802,"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."}}