{"id":"W4403086678","doi":"10.1101/2024.09.30.24314653","title":"Development, Testing, and Calibration of LINCS: A New Microsimulation Model of Maternal and Fetal Cytomegalovirus Infection in the US","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Cytomegalovirus and herpesvirus research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Microsimulation; Cytomegalovirus; Calibration; Cytomegalovirus infections; Virology; Fetus; Medicine; Pregnancy; Human cytomegalovirus; Biology; Engineering; Virus; Viral disease; Herpesviridae; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001489938,0.000537511,0.0005697854,0.0005804127,0.0006002957,0.0008918029,0.001621605,0.001053492,0.003955723],"category_scores_gemma":[0.006408486,0.0004844774,0.0009632999,0.0004604487,0.0007314166,0.0005916869,0.001027255,0.001294917,0.0002549364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003181118,"about_ca_system_score_gemma":0.002826723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1228448,"about_ca_topic_score_gemma":0.05229895,"domain_scores_codex":[0.9995078,0.0002221641,0.00002137117,0.00008530257,0.00007069681,0.00009271974],"domain_scores_gemma":[0.9969988,0.002119623,0.0002370127,0.0001137233,0.0004168038,0.0001141413],"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":[0.0000184609,0.00001612924,0.001933251,0.000005654788,0.000009310447,0.00002507284,0.00002512095,0.9937635,0.00007411077,0.003136902,0.000151866,0.0008407022],"study_design_scores_gemma":[0.000008331154,0.000008810874,0.0002529455,0.000002540665,0.000004597059,0.000003512466,0.00001282876,0.9987711,0.00005507059,0.0006883847,0.0001887619,0.000003006123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7780554,0.0002323336,0.1967189,0.001620322,0.00008520396,0.000289783,0.002265222,0.0004658276,0.02026706],"genre_scores_gemma":[0.9729216,0.00009721608,0.02211238,0.0001212688,0.00001498863,0.0002285449,0.0006686941,0.0000426007,0.003792726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1228448,"threshold_uncertainty_score":0.2442596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06432561362839934,"score_gpt":0.3280837517632703,"score_spread":0.263758138134871,"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."}}