{"id":"W4254827723","doi":"10.3410/f.736866539.793567220","title":"Faculty Opinions recommendation of Causal Inference for Genetically Determined Levels of HDL (High-Density Lipoprotein) Cholesterol and Risk of Infectious Disease.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazard ratio; Mendelian randomization; Proportional hazards model; Medicine; Internal medicine; Triglyceride; Logistic regression; Cholesterol; Sepsis; High-density lipoprotein; Demography; Confounding; Biology; Genetics; Genotype; Confidence interval; Genetic variants","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":[0.02839058,0.001561405,0.003585357,0.005272331,0.002907756,0.008703412,0.005650036,0.01907086,0.4821642],"category_scores_gemma":[0.1562213,0.002584905,0.004860685,0.007996157,0.002341538,0.003888276,0.00367673,0.01127217,0.3075929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003531417,"about_ca_system_score_gemma":0.01768275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894485,"about_ca_topic_score_gemma":0.01857181,"domain_scores_codex":[0.9811148,0.003813866,0.002277182,0.001480016,0.0102897,0.001024421],"domain_scores_gemma":[0.8971053,0.0311325,0.006507319,0.01028618,0.04778599,0.007182662],"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":[0.0001634315,0.0001425073,0.0008395558,0.001219071,0.000148339,0.0001162741,0.0000500139,0.0002570865,0.0003266585,0.002228364,0.9449609,0.04954784],"study_design_scores_gemma":[0.0004678876,0.00007652119,0.00334154,0.003024542,0.000182586,0.0001259547,0.00008737952,0.0009403941,0.0003336512,0.008855307,0.9824637,0.0001006126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001482029,0.008072766,0.04835912,0.2150795,0.2112104,0.005961783,0.1041876,0.007278242,0.3983685],"genre_scores_gemma":[0.01553998,0.01613446,0.09229093,0.1376259,0.0906857,0.008921294,0.05153678,0.004036118,0.5832288],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4821642,"threshold_uncertainty_score":0.7386299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136215560025395,"score_gpt":0.3486781261917306,"score_spread":0.3173159705914766,"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."}}