{"id":"W7111299605","doi":"10.1371/journal.pone.0337560.s001","title":"PRISMA checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypochloremia; Hyperchloremia; Serum chloride; Meta-analysis; Acute kidney injury; Hyponatremia; Adverse effect","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.06233755,0.00387065,0.007983446,0.01269228,0.002744578,0.008316601,0.008687189,0.005324644,0.4356158],"category_scores_gemma":[0.1577012,0.005274365,0.01503677,0.0130518,0.002712579,0.003764333,0.006253195,0.006931286,0.05577785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007215541,"about_ca_system_score_gemma":0.04970733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181696,"about_ca_topic_score_gemma":0.01814692,"domain_scores_codex":[0.9534202,0.02021052,0.01798835,0.00357345,0.003656055,0.001151329],"domain_scores_gemma":[0.8571557,0.08483069,0.01254472,0.01548662,0.02814663,0.001835658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001609512,0.0001627781,0.0005289118,0.3698459,0.00165765,0.0002128416,0.00104476,0.001014942,0.0003128921,0.009335255,0.5749111,0.0393635],"study_design_scores_gemma":[0.01033138,0.0002844643,0.00312088,0.1467661,0.002378325,0.0002959524,0.001131304,0.001554475,0.0006007599,0.02879571,0.8043268,0.0004137786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008646927,0.004467787,0.0176113,0.00836586,0.003524156,0.217388,0.727039,0.009319446,0.01141968],"genre_scores_gemma":[0.002228399,0.002820138,0.07307652,0.002414659,0.0002445075,0.8612819,0.04846073,0.00156378,0.007909318],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5643842,"threshold_uncertainty_score":0.8050256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730897856432971,"score_gpt":0.3161638154841603,"score_spread":0.2888548369198306,"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."}}