{"id":"W4394955904","doi":"10.1186/s12889-024-18563-1","title":"A methodology for estimating SARS-CoV-2 importation risk by air travel into Canada between July and November 2021","year":2024,"lang":"en","type":"article","venue":"BMC Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe; Public Health Agency of Canada","funders":"","keywords":"Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Biostatistics; 2019-20 coronavirus outbreak; Public health; Environmental health; Epidemiology; Virology; Infectious disease (medical specialty); Outbreak; Pathology; Disease","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":[0.005323599,0.001056594,0.0007642177,0.003177399,0.001147379,0.001640144,0.001875797,0.000819189,0.002720412],"category_scores_gemma":[0.01375154,0.0005852663,0.001719565,0.002956957,0.0008687857,0.0005505408,0.0009068784,0.001143566,0.0003027066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01937779,"about_ca_system_score_gemma":0.03023927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8813816,"about_ca_topic_score_gemma":0.7941588,"domain_scores_codex":[0.9975031,0.000818088,0.0001142842,0.0005258183,0.0007309677,0.0003077942],"domain_scores_gemma":[0.9940628,0.002612143,0.0008426968,0.0003336433,0.001969357,0.0001793235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003479778,0.0001000174,0.1424873,0.000321657,0.0009311468,0.0002854957,0.0003889863,0.7163007,0.001603486,0.03587106,0.009605224,0.09175705],"study_design_scores_gemma":[0.00008632405,0.000163098,0.06098926,0.0001536379,0.0001922039,0.0002049007,0.0004247388,0.9057536,0.001249732,0.009878167,0.02079977,0.0001045295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1965705,0.002016963,0.7637054,0.001357729,0.000175991,0.002264676,0.01997024,0.001118364,0.01282009],"genre_scores_gemma":[0.661512,0.001047005,0.3165987,0.0003376712,0.0000474905,0.001606941,0.01062142,0.0001172033,0.008111582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1186184,"threshold_uncertainty_score":0.2386338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4409674936027514,"score_gpt":0.5060909393630633,"score_spread":0.06512344576031182,"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."}}