{"id":"W6904859580","doi":"10.1371/journal.pone.0315500.s003","title":"Search formulas.","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Sodium Intake and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thirst; CINAHL; Intensive care unit; Randomized controlled trial; Confidence interval; Critically ill; Meta-analysis; Intensive care","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":[],"category_scores_codex":[0.007821271,0.003947579,0.01434039,0.04557065,0.001399505,0.006785917,0.006371894,0.003998407,0.5261844],"category_scores_gemma":[0.04042293,0.002022841,0.004745544,0.04404211,0.001272847,0.006546778,0.005984444,0.002809982,0.1015227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008455192,"about_ca_system_score_gemma":0.01737687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289218,"about_ca_topic_score_gemma":0.01319762,"domain_scores_codex":[0.9899198,0.001974422,0.005080046,0.001229925,0.001244979,0.0005508629],"domain_scores_gemma":[0.9794897,0.01239715,0.003442348,0.0005115954,0.003402645,0.0007566588],"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":[0.0005856586,0.00004569059,0.0006616012,0.7466433,0.0009675084,0.0003018111,0.0004462783,0.0002433869,0.0003684971,0.003020218,0.1937719,0.05294419],"study_design_scores_gemma":[0.00277362,0.0003416675,0.004511639,0.4407037,0.003346399,0.000704133,0.00109347,0.0008036905,0.0004377163,0.008086278,0.5369726,0.0002251858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001601178,0.04694008,0.003070692,0.006281703,0.0009651033,0.03133232,0.8555682,0.003195191,0.05104567],"genre_scores_gemma":[0.01991506,0.177107,0.03995109,0.0132789,0.001367493,0.268257,0.3962137,0.004739676,0.07917006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5261844,"threshold_uncertainty_score":0.6758405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07352083282752409,"score_gpt":0.3696113359775846,"score_spread":0.2960905031500605,"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."}}