{"id":"W4324309727","doi":"10.1186/s13643-023-02178-5","title":"Mapping reviews, scoping reviews, and evidence and gap maps (EGMs): the same but different— the “Big Picture” review family","year":2023,"lang":"en","type":"article","venue":"Systematic Reviews","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"National Health and Medical Research Council","keywords":"Medicine; Data 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","metaepi_broad","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow"],"category_scores_codex":[0.4260219,0.001431691,0.0203987,0.0004128154,0.001047637,0.002240073,0.004659357,0.0001763159,0.0006235553],"category_scores_gemma":[0.2394819,0.0004217694,0.003887298,0.004639519,0.000339229,0.0004983482,0.001020224,0.0006642265,0.01061967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007405565,"about_ca_system_score_gemma":0.00008520077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001917226,"about_ca_topic_score_gemma":0.00004658645,"domain_scores_codex":[0.8358443,0.1153814,0.03850662,0.002835473,0.006336956,0.001095211],"domain_scores_gemma":[0.9193991,0.03367059,0.02918182,0.01619492,0.0009737238,0.0005798088],"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":[0.000001481767,0.00001620721,0.0006614689,0.6190114,0.0001995262,0.000007110444,0.001431787,4.91909e-7,0.00006851414,0.0007073852,0.3277011,0.0501935],"study_design_scores_gemma":[0.0001035634,0.00002853889,0.0008301759,0.4862,0.001248677,0.0001419974,0.0009349931,0.000273294,8.370655e-7,0.001461113,0.5082801,0.0004966422],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009587306,0.9436525,0.002203946,0.005987681,0.000854879,0.04542826,0.00000975864,0.00003322027,0.0008709978],"genre_scores_gemma":[0.00181997,0.9688398,0.0005744944,0.008934502,0.0003872306,0.007336674,0.000009904322,0.00005323631,0.01204422],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.18654,"threshold_uncertainty_score":0.9998433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8057005524300686,"score_gpt":0.511763323025558,"score_spread":0.2939372294045105,"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."}}