{"id":"W3201121031","doi":"10.21203/rs.3.rs-930142/v1","title":"Study of effect modifiers of genetically predicted CETP reduction","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Institut de Cardiologie de Montréal","keywords":"Reduction (mathematics); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007521066,0.0007561708,0.0007128304,0.0006833926,0.0003089327,0.0009024561,0.0006509608,0.001004972,0.005220545],"category_scores_gemma":[0.02329209,0.0002600862,0.001732438,0.00063312,0.0007369164,0.0004637411,0.0005692388,0.001149058,0.0003633318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003085527,"about_ca_system_score_gemma":0.000456606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240233,"about_ca_topic_score_gemma":0.001434812,"domain_scores_codex":[0.9957724,0.002735664,0.0001448694,0.0008863138,0.0002987452,0.0001620181],"domain_scores_gemma":[0.9782094,0.01597069,0.002183515,0.002982872,0.0003388393,0.0003146533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006700238,0.000368142,0.9331736,0.000216482,0.01019299,0.0007609141,0.0003220901,0.001981138,0.01505231,0.003522885,0.001181105,0.02652828],"study_design_scores_gemma":[0.0003165247,0.001025769,0.9730231,0.00004538772,0.003781627,0.0004533577,0.00008970252,0.006733136,0.007601774,0.004459278,0.002436539,0.00003387144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763759,0.001704137,0.0157373,0.0008613155,0.0001512162,0.00006420668,0.002723248,0.0001927633,0.002189956],"genre_scores_gemma":[0.9948949,0.0001114238,0.003403986,0.0001941789,0.00004610573,0.00004249976,0.000348994,0.000044797,0.0009129815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007521066,"threshold_uncertainty_score":0.03977567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161065497663126,"score_gpt":0.4079221706872991,"score_spread":0.3463115157106678,"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."}}