{"id":"W4221081218","doi":"10.1101/2022.03.20.22272657","title":"Unified Predictive Model for Endometriosis: Merging Clinical, Self-reporting and Genetic Information","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Louise and Alan Edwards Foundation; Medical Research Council; Israel Science Foundation; Hebrew University of Jerusalem","keywords":"Endometriosis; Medicine; Biobank; Pelvic pain; Irritable bowel syndrome; Medical diagnosis; Population; Menstrual cycle; Gynecology; Internal medicine; Bioinformatics; Radiology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.007505002,0.0009450093,0.001664511,0.00225084,0.0004637889,0.001682553,0.001566277,0.001232792,0.001670008],"category_scores_gemma":[0.01027851,0.0005858059,0.001589553,0.001393042,0.0006111967,0.0008064562,0.00112854,0.001608747,0.0005276962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032393,"about_ca_system_score_gemma":0.001112937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01850003,"about_ca_topic_score_gemma":0.009152889,"domain_scores_codex":[0.998066,0.001198034,0.00008427929,0.000350326,0.0001358083,0.0001656974],"domain_scores_gemma":[0.9942791,0.004446131,0.0003645502,0.0002548954,0.000464433,0.0001908811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005937624,0.0003992293,0.0677753,0.0000768976,0.0004922501,0.0002695133,0.0001240271,0.8786491,0.0005510653,0.002803292,0.002766666,0.04549895],"study_design_scores_gemma":[0.00001290972,0.00003154489,0.002321168,0.00001154062,0.00003073573,0.00002359259,0.00001061303,0.9956896,0.00005869561,0.001666951,0.0001350595,0.000007669925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.559795,0.002722707,0.4268446,0.003099868,0.0002098832,0.0002195351,0.004269541,0.00115573,0.001683063],"genre_scores_gemma":[0.9690011,0.0002904233,0.02649046,0.0002069618,0.0001166053,0.000136612,0.002619392,0.00002803906,0.001110475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01850003,"threshold_uncertainty_score":0.03969073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08196090675761428,"score_gpt":0.3888095050975583,"score_spread":0.306848598339944,"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."}}