{"id":"W7111204514","doi":"10.1371/journal.pone.0324548.s001","title":"RECORD checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multimorbidity; Poisson regression; Confidence interval; Cohort; Comorbidity; Diagnosis code; Cohort study; Cluster (spacecraft); Medical record","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":[0.003942134,0.001070748,0.001603027,0.00515431,0.001679799,0.004032732,0.003403436,0.00234564,0.7664885],"category_scores_gemma":[0.03203331,0.0008955606,0.001049057,0.004551408,0.0005478405,0.003558388,0.003918115,0.002135492,0.5388944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251957,"about_ca_system_score_gemma":0.008156862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329414,"about_ca_topic_score_gemma":0.02371484,"domain_scores_codex":[0.9960556,0.0009358953,0.001078305,0.0005368176,0.001114707,0.000278704],"domain_scores_gemma":[0.9756977,0.006281543,0.00179215,0.003740661,0.01101182,0.001476135],"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":[0.0000792651,0.00003845843,0.0003977651,0.0007564261,0.000007773839,0.00005288857,0.00008235391,0.00002662858,0.00005085187,0.001136338,0.9423519,0.05501938],"study_design_scores_gemma":[0.00007705186,0.00001869247,0.001088293,0.0005178681,0.000007321528,0.00007967117,0.0001049415,0.00007102582,0.00006214349,0.000811972,0.9971434,0.00001749299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001086364,0.001131642,0.004846035,0.007391376,0.002021714,0.004602173,0.5637913,0.01067002,0.4044594],"genre_scores_gemma":[0.01127359,0.003763257,0.02212445,0.0106604,0.001507222,0.01218275,0.3583174,0.005261524,0.5749094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2335115,"threshold_uncertainty_score":0.3330758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05152553072193315,"score_gpt":0.3397175650903804,"score_spread":0.2881920343684473,"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."}}