{"id":"W3113225050","doi":"10.2147/dmso.s283949","title":"<p>Reporting and Methods in Developing Prognostic Prediction Models for Metabolic Syndrome: A Systematic Review and Critical Appraisal</p>","year":2020,"lang":"en","type":"review","venue":"Diabetes Metabolic Syndrome and Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Critical appraisal; Data extraction; Systematic review; Checklist; Medicine; Meta-analysis; MEDLINE; Statistic; Computer science; Intensive care medicine; Statistics; Internal medicine; Psychology; Pathology; Alternative medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3057119,0.005442188,0.01802514,0.03227168,0.004455041,0.01019481,0.008197069,0.007676957,0.02098154],"category_scores_gemma":[0.5994101,0.00438153,0.01567247,0.02997294,0.007454004,0.01400153,0.006732495,0.005233459,0.002759329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01867271,"about_ca_system_score_gemma":0.07311599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005761435,"about_ca_topic_score_gemma":0.008198748,"domain_scores_codex":[0.6080021,0.1924172,0.1407337,0.01286003,0.0424346,0.003552419],"domain_scores_gemma":[0.3169124,0.4212567,0.1247333,0.02896097,0.1044137,0.003722923],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002812012,0.00002636699,0.0008430299,0.9355787,0.004566139,0.0001363522,0.001197024,0.0002441181,0.0002543855,0.001857633,0.01897519,0.03603986],"study_design_scores_gemma":[0.0009350427,0.0001391757,0.00141676,0.9458451,0.01282808,0.0001271971,0.0007420701,0.0008891426,0.0005488678,0.003359294,0.03303526,0.0001339926],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00396136,0.5648811,0.05373517,0.03930409,0.01460635,0.2982824,0.01843093,0.001180535,0.005618149],"genre_scores_gemma":[0.03394771,0.2131811,0.104703,0.00841941,0.003312299,0.6301399,0.00384128,0.0003351503,0.002120125],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9819748,"threshold_uncertainty_score":0.8561808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364197120151695,"score_gpt":0.3506686411425619,"score_spread":0.3070266699410449,"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."}}