{"id":"W7111172926","doi":"10.1371/journal.pone.0329794.s003","title":"PRISMA abstract 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":"Cluster analysis; Cluster (spacecraft); Latent class model; Population; Multimorbidity; Disease","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":[0.06031125,0.004897675,0.01212811,0.02059218,0.003649583,0.01094751,0.008592186,0.005284879,0.4265958],"category_scores_gemma":[0.1897022,0.005509726,0.01829014,0.02292769,0.00338014,0.006479807,0.007342638,0.007406883,0.04551497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01092455,"about_ca_system_score_gemma":0.06088724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011985,"about_ca_topic_score_gemma":0.01762741,"domain_scores_codex":[0.9445783,0.01838227,0.02729478,0.003640229,0.004817495,0.001287043],"domain_scores_gemma":[0.8085954,0.1034444,0.02245223,0.01531368,0.04806842,0.002125875],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001076471,0.0001370805,0.0003896352,0.6277358,0.001313341,0.0002022191,0.0009796905,0.000674671,0.0003069474,0.007282362,0.3319688,0.02793294],"study_design_scores_gemma":[0.008755742,0.0003016297,0.003860067,0.2925228,0.002809172,0.0003016023,0.002183683,0.001681828,0.0008095092,0.02601553,0.6602982,0.0004602431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0009136866,0.003401884,0.01056044,0.007052949,0.00248242,0.3853738,0.5732278,0.005243794,0.01174321],"genre_scores_gemma":[0.001604181,0.002144165,0.03927332,0.001115612,0.0001575524,0.9197745,0.02970222,0.000630843,0.005597739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9396887,"threshold_uncertainty_score":0.8178914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04998961978244303,"score_gpt":0.3427193090285258,"score_spread":0.2927296892460827,"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."}}