{"id":"W2191523277","doi":"10.1017/s095026881500299x","title":"The accuracy and timeliness of neuraminidase inhibitor dispensing data for predicting laboratory-confirmed influenza","year":2015,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; McGill University; McGill University Health Centre; Montreal Children's Hospital","funders":"","keywords":"Medicine; Neuraminidase; Neuraminidase inhibitor; Autoregressive integrated moving average; Lag time; Influenza-like illness; Emergency department; Predictive value; Emergency medicine; Internal medicine; Virology; Statistics; Coronavirus disease 2019 (COVID-19); Time series; Biology; Mathematics; Virus","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":[0.01289537,0.0004307273,0.0003615661,0.002144929,0.0004335807,0.001587765,0.001073755,0.0005318553,0.000686174],"category_scores_gemma":[0.0512803,0.0002665488,0.0005861628,0.002747208,0.0003653456,0.0009704905,0.0005964467,0.0005786612,0.000274585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0023231,"about_ca_system_score_gemma":0.003777642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4343807,"about_ca_topic_score_gemma":0.4433262,"domain_scores_codex":[0.9931642,0.003551778,0.0006886736,0.0007279943,0.001525978,0.0003412607],"domain_scores_gemma":[0.9524416,0.02732959,0.00846184,0.002413568,0.008259148,0.001094243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385902,0.00002449037,0.9908686,0.00002453378,0.0001163923,0.00001220734,0.00008545087,0.002052373,0.00009847234,0.00005649611,0.000268887,0.006253732],"study_design_scores_gemma":[0.00001130242,0.0001373015,0.959358,0.00005519125,0.0001010213,0.00004630973,0.0001634767,0.0388938,0.0004142045,0.00007655373,0.0007276493,0.00001520819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881923,0.001164213,0.00287239,0.0004196127,0.00003788486,0.0000446223,0.004938859,0.00007244344,0.002257612],"genre_scores_gemma":[0.9961271,0.0002448007,0.00132293,0.00003131106,0.00002171687,0.000008929729,0.002006647,0.000005575743,0.0002310776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4343807,"threshold_uncertainty_score":0.8637047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2656660805189408,"score_gpt":0.4664067605582747,"score_spread":0.200740680039334,"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."}}