{"id":"W4387300261","doi":"10.1007/s10654-023-01049-6","title":"Slow data public health","year":2023,"lang":"en","type":"article","venue":"European Journal of Epidemiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Université de Fribourg","keywords":"Public health; Data quality; Medicine; Public health surveillance; Data science; Quality (philosophy); Data collection; Population health; Pandemic; Identification (biology); Information Dissemination; Internet privacy; Public relations; Computer science; Coronavirus disease 2019 (COVID-19); Business; World Wide Web; Nursing; Political science; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.1625775,0.00189346,0.002243272,0.007157514,0.004128965,0.02162505,0.005963448,0.007720196,0.02287269],"category_scores_gemma":[0.3983055,0.002154053,0.002104335,0.00579824,0.01361651,0.02819056,0.02227338,0.01565553,0.01209507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008927853,"about_ca_system_score_gemma":0.03088723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004444821,"about_ca_topic_score_gemma":0.002156444,"domain_scores_codex":[0.8247471,0.08725018,0.01543182,0.02021925,0.04672518,0.005626421],"domain_scores_gemma":[0.4408904,0.3166706,0.03900365,0.1077365,0.07947897,0.01621986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006118248,0.0002279693,0.01613025,0.004203459,0.0004079225,0.0004295738,0.005665537,0.001711782,0.001910546,0.3834503,0.269801,0.3154497],"study_design_scores_gemma":[0.0001823848,0.0002611503,0.004569668,0.00315928,0.0001068604,0.0005848489,0.002349824,0.002645427,0.002319903,0.1997951,0.7838771,0.0001483758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02167237,0.02318531,0.2848364,0.5250287,0.01576967,0.003258802,0.005904004,0.004804201,0.1155406],"genre_scores_gemma":[0.4046266,0.0208867,0.2292601,0.2357983,0.01606843,0.006426182,0.009736422,0.003756418,0.07344098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1625775,"threshold_uncertainty_score":0.8598021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3951615621484729,"score_gpt":0.4311527721253957,"score_spread":0.03599120997692284,"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."}}