{"id":"W2886606374","doi":"10.1002/jmri.26198","title":"Best practices for MRI systematic reviews and meta‐analyses","year":2018,"lang":"en","type":"review","venue":"Journal of Magnetic Resonance Imaging","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Public Health; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Systematic review; Meta-analysis; Medical physics; Computer science; Medicine; MEDLINE; Management science; Data science; Pathology","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":[0.2415911,0.006526595,0.01781008,0.04391975,0.002009085,0.01156143,0.01241145,0.008359901,0.02548803],"category_scores_gemma":[0.5650024,0.005272246,0.03192258,0.0328928,0.004488681,0.005181796,0.00669248,0.008005834,0.007530027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009733741,"about_ca_system_score_gemma":0.03287132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008876313,"about_ca_topic_score_gemma":0.01013957,"domain_scores_codex":[0.5987642,0.2465891,0.1158764,0.01093743,0.02636916,0.001463692],"domain_scores_gemma":[0.4499973,0.4206612,0.04626033,0.03714189,0.04351383,0.002425602],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000516305,0.00003615549,0.0004608744,0.8289853,0.02465685,0.000283128,0.001359594,0.00144386,0.0003386437,0.009960243,0.03416695,0.0977921],"study_design_scores_gemma":[0.0018643,0.0001711375,0.001130017,0.7122395,0.04811016,0.0003902735,0.0005264651,0.002122445,0.001120332,0.04161509,0.1904202,0.000290135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001056863,0.5893763,0.2238581,0.01665051,0.01230031,0.1145561,0.02746084,0.006026047,0.00871501],"genre_scores_gemma":[0.01242948,0.1691033,0.5627047,0.00426392,0.001058232,0.2429561,0.004709523,0.0008264381,0.001948345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7584089,"threshold_uncertainty_score":0.9352531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2022889902004515,"score_gpt":0.4815954989364937,"score_spread":0.2793065087360422,"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."}}