{"id":"W3181782200","doi":"10.14745/ccdr.v47i78a01","title":"A warning about measurement and methodological issues associated with coronavirus tracking and evaluation across jurisdictions","year":2021,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Jurisdiction; Public health; Pandemic; Coronavirus disease 2019 (COVID-19); Variety (cybernetics); Warning system; Tracking (education); Political science; Disease; Public relations; Geography; Environmental health; Medicine; Psychology; Infectious disease (medical specialty); Computer science; Law; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3407598,0.002080249,0.004449003,0.004457926,0.01056005,0.01614528,0.01499896,0.04303389,0.002698316],"category_scores_gemma":[0.6398474,0.00208922,0.005611542,0.007355781,0.03647627,0.01459316,0.008676261,0.07168812,0.001359625],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02732632,"about_ca_system_score_gemma":0.09273065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1459807,"about_ca_topic_score_gemma":0.1624923,"domain_scores_codex":[0.5563506,0.2808034,0.05483672,0.01840492,0.08165244,0.007951957],"domain_scores_gemma":[0.1676228,0.6629971,0.01875645,0.01846716,0.1260469,0.006109621],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001521939,0.00003226794,0.001670396,0.002615402,0.0001345575,0.0002499136,0.006995017,0.0004856984,0.0002324003,0.05742912,0.8980749,0.03192808],"study_design_scores_gemma":[0.0001706952,0.0001614248,0.002442393,0.01557457,0.0002213752,0.0004801796,0.004755077,0.001710842,0.0006398957,0.07328498,0.9002914,0.0002672257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003856275,0.007909843,0.003938372,0.9396958,0.04599388,0.000140287,0.0001964465,0.0000684484,0.001671351],"genre_scores_gemma":[0.01134674,0.006200133,0.01607701,0.9228869,0.04030712,0.000759105,0.0001379931,0.0001684743,0.002116608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9726737,"threshold_uncertainty_score":0.8129606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6129927258076486,"score_gpt":0.5188315563137927,"score_spread":0.09416116949385589,"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."}}