{"id":"W2436017105","doi":"","title":"Research Update: Monitoring measles key to predicting epidemics","year":2000,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Immune responses and vaccinations","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Measles; Computer science; Key (lock); Data science; Medicine; Virology; Computer security; Vaccination","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005479787,0.0000943772,0.0001745834,0.0003469098,0.001116347,0.00008029871,0.0003553366,0.0005031983,0.0165496],"category_scores_gemma":[0.004339816,0.00009045693,0.00007356347,0.0004217259,0.00003092476,0.0001171274,0.00002433665,0.001810817,0.003443182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030121,"about_ca_system_score_gemma":0.001714361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608473,"about_ca_topic_score_gemma":0.00446765,"domain_scores_codex":[0.9973972,0.0008589615,0.00041843,0.0001562377,0.0003485822,0.0008206078],"domain_scores_gemma":[0.9982029,0.000581148,0.0000738203,0.0001204952,0.0005127957,0.0005088677],"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":[0.00007001236,0.00004771419,0.1117868,0.000004347695,0.0002761711,0.0001145231,0.001411654,0.0000551779,0.0007240791,0.0006061585,0.4009299,0.4839735],"study_design_scores_gemma":[0.000498532,0.00004859732,0.06746081,0.00006996191,0.000009736284,0.0002839926,0.000827453,0.00001688804,0.0002936451,0.0001028194,0.9302849,0.0001027004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424989,0.00168346,0.00003766297,0.04784535,0.001673719,0.000132317,0.00002942606,0.00003300029,0.006066117],"genre_scores_gemma":[0.9850345,0.0006981675,0.00009857141,0.001784866,0.001036003,0.0000119798,0.00001359583,0.00001819443,0.01130412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.529355,"threshold_uncertainty_score":0.9973328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324007695595263,"score_gpt":0.3152591647738957,"score_spread":0.292019087817943,"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."}}