{"id":"W7115164910","doi":"10.1371/journal.pone.0338725.s002","title":"COREQ Checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Triage; Health care; Perception; Emergency department; Qualitative research; Reflexivity; Resource (disambiguation)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01587551,0.001976419,0.002674481,0.006229517,0.002409511,0.003693129,0.004756487,0.002308021,0.4194896],"category_scores_gemma":[0.05419076,0.00217915,0.002101219,0.005335783,0.0009594142,0.003717072,0.005470771,0.003616757,0.1102437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003291778,"about_ca_system_score_gemma":0.01852904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250113,"about_ca_topic_score_gemma":0.02480565,"domain_scores_codex":[0.9892476,0.004670571,0.002726669,0.0006977994,0.001922087,0.0007351979],"domain_scores_gemma":[0.9652256,0.01386233,0.001609438,0.001900013,0.01647418,0.0009284382],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004110223,0.0002914806,0.001766126,0.008299601,0.00003539004,0.0001801766,0.003088394,0.0003001918,0.0002296407,0.004335282,0.862496,0.1185668],"study_design_scores_gemma":[0.0005916924,0.0001857368,0.00917173,0.006662927,0.000045643,0.0002408921,0.00496118,0.0005354973,0.0003555418,0.009417596,0.9677233,0.0001082838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01079156,0.003097344,0.03718029,0.008334362,0.002425088,0.1310461,0.627938,0.006289469,0.1728977],"genre_scores_gemma":[0.01782494,0.00338235,0.1152797,0.005683291,0.000355456,0.5406573,0.2028549,0.003114115,0.1108479],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9841245,"threshold_uncertainty_score":0.8280277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975960337295904,"score_gpt":0.3197101199352969,"score_spread":0.2899505165623378,"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."}}