{"id":"W4389608297","doi":"10.1093/ije/dyad166","title":"When data generate populations","year":2023,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Population; Library science; Epidemiology; Health care; Political science; Gerontology; Medicine; Environmental health; Law; Pathology","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":[0.0365446,0.00111381,0.001399206,0.004504688,0.003317395,0.01241749,0.003194513,0.007842005,0.03602364],"category_scores_gemma":[0.2400598,0.0014788,0.002069936,0.004877028,0.009429999,0.02178657,0.008935674,0.008827465,0.008688368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00391601,"about_ca_system_score_gemma":0.004432591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812577,"about_ca_topic_score_gemma":0.002469813,"domain_scores_codex":[0.9610611,0.02275443,0.002414302,0.006521819,0.005971667,0.001276741],"domain_scores_gemma":[0.8665201,0.09264744,0.005203773,0.02727777,0.006731431,0.001619381],"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":[0.000155655,0.00004894793,0.009984431,0.0004028262,0.000154472,0.0007303407,0.002563859,0.002752174,0.0001746854,0.8524901,0.07066576,0.05987672],"study_design_scores_gemma":[0.00006772453,0.00002618734,0.001199125,0.0004251464,0.00004000334,0.0005483056,0.0008568861,0.004003733,0.0003373105,0.8847767,0.1076734,0.00004537968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02124951,0.007801122,0.5121117,0.2880054,0.01565882,0.001315606,0.01669352,0.002809528,0.1343549],"genre_scores_gemma":[0.4400505,0.009259119,0.3437306,0.1184943,0.01460307,0.004982253,0.01769606,0.00383879,0.04734533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0365446,"threshold_uncertainty_score":0.1932687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7979253793936554,"score_gpt":0.5858451420434261,"score_spread":0.2120802373502293,"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."}}