{"id":"W4404090147","doi":"10.3390/epidemiologia5040047","title":"Big Epidemiology: The Birth, Life, Death, and Resurgence of Diseases on a Global Timescale","year":2024,"lang":"en","type":"review","venue":"Epidemiologia","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"European Commission","keywords":"Public health; Big data; Disease; Epidemiology; Ancient DNA; Environmental ethics; Geography; Political science; Population; Medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004708169,0.0006175883,0.004501908,0.0001434656,0.0001017233,0.00001085729,0.0003683624,0.0005824511,0.0001310229],"category_scores_gemma":[0.03470175,0.0002914045,0.001075241,0.0005839349,0.0005382887,0.00002289004,0.0002489331,0.0008131456,0.0002065346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505466,"about_ca_system_score_gemma":0.001857054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002096584,"about_ca_topic_score_gemma":0.000003180914,"domain_scores_codex":[0.993757,0.002416692,0.001924768,0.0009584766,0.0002088282,0.0007342418],"domain_scores_gemma":[0.9871078,0.009981549,0.0007643545,0.001139022,0.00007435934,0.000932922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000669414,0.0001088974,0.006433817,0.02490505,0.00046053,0.00004438516,0.000006763659,0.000001306239,2.978529e-9,0.03218788,0.08463462,0.8511498],"study_design_scores_gemma":[0.0001521828,0.0003874694,0.007553729,0.013357,0.002744216,0.00009631507,0.00001901343,0.00006149679,4.356993e-9,0.007764564,0.967612,0.0002520296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009202409,0.9883266,0.00005015488,0.004597556,0.0008671712,0.001197205,0.00117698,0.000125563,0.003566719],"genre_scores_gemma":[0.0004981113,0.9925854,0.0002065177,0.004691279,0.000897578,0.0001484926,0.0001949689,0.00004243988,0.0007352356],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8829774,"threshold_uncertainty_score":0.9999538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2187211366959477,"score_gpt":0.4571217596205066,"score_spread":0.2384006229245589,"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."}}