{"id":"W4405596178","doi":"10.1016/j.jclinepi.2024.111648","title":"Meta-epidemiology and reporting characteristics of mapping reviews: a scoping review","year":2024,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University Medical Centre; Bruyère","funders":"National Office for Philosophy and Social Sciences","keywords":"Epidemiology; MEDLINE; Systematic review; Meta-analysis; Medicine; Data science; Environmental health; Computer science; Political 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":[{"model":"gemma","categories":["metaresearch","metaepi_broad"],"domain":"reporting","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","metaepi_broad"],"domain":"reporting","study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.2434203,0.0008414085,0.08274449,0.000420118,0.00003753946,0.00000505785,0.000490547,0.001062099,0.0001862363],"category_scores_gemma":[0.7407177,0.0004703813,0.01249578,0.000480073,0.0006901933,0.00009088802,0.0004340442,0.003716999,0.00006175353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007384746,"about_ca_system_score_gemma":0.001809981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005261656,"about_ca_topic_score_gemma":0.000001333945,"domain_scores_codex":[0.8886112,0.02737012,0.08182331,0.001119927,0.0003016177,0.000773826],"domain_scores_gemma":[0.5842069,0.1620098,0.24769,0.002805129,0.001369185,0.001918942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002484553,0.00005731655,0.002103488,0.4296501,0.005149013,0.0003475151,0.000002686563,3.133929e-8,3.111019e-8,0.00008069262,0.009418879,0.5531654],"study_design_scores_gemma":[0.0001367767,0.0002439041,0.0005382053,0.4587008,0.036251,0.002705143,8.369e-7,0.000003724157,3.150442e-9,0.0002286921,0.5010246,0.0001663639],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007874815,0.9935285,0.0005554003,0.002206715,0.001668492,0.001787806,0.00009607185,0.00002691702,0.0001222402],"genre_scores_gemma":[0.000001254376,0.978232,0.01349679,0.006012145,0.001896844,0.00005950384,0.0001135862,0.00007700115,0.0001108866],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5529991,"threshold_uncertainty_score":0.9997748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8119543235295741,"score_gpt":0.6447508381367261,"score_spread":0.167203485392848,"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."}}