{"id":"W4313427688","doi":"10.1101/2022.12.28.22283572","title":"Development of a reporting guideline for umbrella reviews on epidemiological associations using cross-sectional, case-control, and cohort studies: the Preferred Reporting Items for Umbrella Reviews of Cross-sectional, Case-control, and Cohort studies (PRIUR-CCC)","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Ottawa Hospital; Institute of Health Economics; University of Ottawa","funders":"","keywords":"Observational study; Systematic review; Cross-sectional study; Medicine; Strengthening the reporting of observational studies in epidemiology; Guideline; Cohort; Epidemiology; Psychological intervention; Cohort study; Biostatistics; Environmental health; Family medicine; MEDLINE; Nursing; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5485231,0.005870026,0.01853304,0.02673227,0.004049864,0.02075711,0.01422046,0.01377159,0.01756144],"category_scores_gemma":[0.7254091,0.009236179,0.02723145,0.02904724,0.006520012,0.01246809,0.01255835,0.01643728,0.01692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01757412,"about_ca_system_score_gemma":0.05578192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007565979,"about_ca_topic_score_gemma":0.007257217,"domain_scores_codex":[0.2389151,0.3580711,0.3445262,0.01109415,0.04386086,0.003532721],"domain_scores_gemma":[0.1645537,0.3379302,0.2118463,0.06301667,0.2172116,0.005441553],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001108471,0.0001933018,0.00255031,0.3358487,0.004888156,0.0003764802,0.003940968,0.001309662,0.002310055,0.01729966,0.4632188,0.1669553],"study_design_scores_gemma":[0.003204044,0.00037592,0.005121083,0.4109593,0.005322518,0.0005247493,0.001531268,0.003832256,0.003156788,0.02214664,0.5431262,0.0006991628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.002357974,0.04685872,0.2806287,0.07818076,0.03377049,0.4431964,0.09166561,0.008815262,0.01452593],"genre_scores_gemma":[0.004420761,0.01781719,0.428227,0.01243432,0.00179522,0.518044,0.01342471,0.0009332348,0.002903606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4514769,"threshold_uncertainty_score":0.5567515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6227049006833516,"score_gpt":0.5863181019724505,"score_spread":0.03638679871090111,"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."}}