{"id":"W4405757776","doi":"10.1101/2024.12.20.24319425","title":"A century of weekly notifiable disease incidence data by province in Canada","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"","keywords":"Communicable disease; Disease surveillance; Notifiable disease; Incidence (geometry); Context (archaeology); Geography; Government (linguistics); Public health; Infectious disease (medical specialty); Public health surveillance; Disease; Medicine; Pathology","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":[0.003268243,0.0006002677,0.0006647095,0.01320526,0.002427222,0.00321017,0.001652997,0.0003780293,0.004751658],"category_scores_gemma":[0.02031387,0.0005023887,0.0006461691,0.04210959,0.0009557601,0.0008785115,0.001538395,0.001111632,0.001194653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04925695,"about_ca_system_score_gemma":0.07613713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949241,"about_ca_topic_score_gemma":0.9953904,"domain_scores_codex":[0.9932504,0.0003404461,0.0006856263,0.0009146559,0.004057043,0.0007519149],"domain_scores_gemma":[0.9688417,0.002286083,0.001804988,0.001710276,0.02400481,0.001352153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003328993,0.00005354806,0.2814039,0.001763725,0.0002645584,0.0004407966,0.006674952,0.004974036,0.001597657,0.007814297,0.407088,0.2875917],"study_design_scores_gemma":[0.00002391824,0.00002140229,0.5302325,0.0008972839,0.0001074014,0.0001193472,0.002084193,0.002348512,0.00107134,0.0008305256,0.4621195,0.0001440024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.130688,0.007525423,0.008861793,0.006064195,0.0009351559,0.0003514781,0.8145899,0.001343444,0.02964072],"genre_scores_gemma":[0.3998653,0.01041949,0.02443978,0.001564834,0.0003172589,0.0006186562,0.5413334,0.0009501208,0.02049099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04925695,"threshold_uncertainty_score":0.3573859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871861307377903,"score_gpt":0.2686166860727717,"score_spread":0.2498980729989927,"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."}}