{"id":"W4413115237","doi":"10.1002/ece3.71969","title":"Reappraisal of the Dilution and Amplification Effect Framework: A Case Study in Lyme Disease","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Lyme disease; Tick-borne disease; Computational biology; Computer science; Biology; Virology; Tick","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07008991,0.0005946258,0.001830211,0.007451764,0.001238987,0.002977128,0.001530697,0.002702565,0.001991045],"category_scores_gemma":[0.09770636,0.0004169835,0.002422238,0.008206658,0.003355897,0.005158644,0.002398322,0.002599244,0.0001825932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003137182,"about_ca_system_score_gemma":0.004767037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004287748,"about_ca_topic_score_gemma":0.01435973,"domain_scores_codex":[0.946893,0.0456192,0.00271529,0.001114233,0.00315332,0.0005048176],"domain_scores_gemma":[0.7203609,0.2623001,0.007010406,0.003106926,0.006573205,0.0006484339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009200012,0.0004954052,0.07511067,0.1302212,0.007127608,0.03622712,0.06017042,0.009538914,0.003755472,0.3142994,0.02022839,0.3419054],"study_design_scores_gemma":[0.0007573864,0.001499209,0.04409739,0.1348971,0.01684032,0.01864648,0.05567735,0.02006696,0.004289282,0.3540916,0.3486788,0.0004582658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1747016,0.5694803,0.07691386,0.1472186,0.001491111,0.001651924,0.001144267,0.0001398044,0.02725859],"genre_scores_gemma":[0.8143318,0.1110564,0.05470536,0.01660299,0.0006004514,0.0009875544,0.0002446127,0.0000436995,0.001427047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07008991,"threshold_uncertainty_score":0.3706753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060534927477585,"score_gpt":0.3292673269594273,"score_spread":0.3186619776846515,"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."}}