{"id":"W6963267989","doi":"10.25318/1310086401-eng","title":"Detailed preliminary information on cases of COVID-19, 2020-2023: 4-Dimensions (Aggregated data), Public Health Agency of Canada","year":2023,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Public health; Table (database); Coronavirus disease 2019 (COVID-19); Aggregate data; Public health surveillance; Pandemic; Public information","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306305,0.001069866,0.001064222,0.006337666,0.002082172,0.002876023,0.001980801,0.0009517423,0.04229233],"category_scores_gemma":[0.01090937,0.0006856263,0.001005462,0.01642155,0.0004400825,0.0008759362,0.001267316,0.001661169,0.01565125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02089032,"about_ca_system_score_gemma":0.05914699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731454,"about_ca_topic_score_gemma":0.9804043,"domain_scores_codex":[0.9978041,0.0001129035,0.0002769284,0.000277506,0.0009270036,0.0006015978],"domain_scores_gemma":[0.9898884,0.0008612252,0.0007484588,0.0006040575,0.00710031,0.0007975778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004117226,0.00001366348,0.005310509,0.0002780714,0.00002417294,0.00002217477,0.0000414276,0.0002852179,0.00003501627,0.0005658843,0.99112,0.002262625],"study_design_scores_gemma":[0.0001349077,0.00001502112,0.1084014,0.0006148635,0.00006363575,0.00008775263,0.0005774249,0.0008317984,0.0004537936,0.0007895824,0.8879585,0.00007138566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002317403,0.00004559701,0.00002687985,0.00006880709,0.00001062003,0.00001771589,0.9985068,0.00003865482,0.001053069],"genre_scores_gemma":[0.002168466,0.0001585699,0.0002800278,0.00007503961,0.000008346638,0.000100645,0.9947803,0.00002779539,0.002400923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04229233,"threshold_uncertainty_score":0.1515706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05842528717427926,"score_gpt":0.2734857890005811,"score_spread":0.2150605018263019,"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."}}