{"id":"W4295950792","doi":"10.1016/j.ttbdis.2022.102040","title":"An ecological approach to predict areas with established populations of Ixodes scapularis in Quebec, Canada","year":2022,"lang":"en","type":"article","venue":"Ticks and Tick-borne Diseases","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke; Santé Montérégie; Cegep de Saint Hyacinthe; Public Health Agency of Canada","funders":"Institut National de Santé Publique du Québec","keywords":"Ixodes scapularis; Tick; Population; Ixodes; Logistic regression; Abiotic component; Lyme disease; Geography; Ecology; Biology; Environmental health; Veterinary medicine; Statistics; Ixodidae; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006930801,0.0007743259,0.000343123,0.002035957,0.00124515,0.001337524,0.001560562,0.0004719442,0.003751758],"category_scores_gemma":[0.002345059,0.0002745088,0.0006532356,0.001569343,0.0003365947,0.0003804727,0.0006272054,0.0004859419,0.0004271425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01822123,"about_ca_system_score_gemma":0.01760686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993978,"about_ca_topic_score_gemma":0.9934698,"domain_scores_codex":[0.9997484,0.0000461096,0.00001620039,0.00006781067,0.00003945039,0.00008200522],"domain_scores_gemma":[0.998673,0.0002749184,0.0001391858,0.00002872143,0.0007003197,0.0001839182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009709252,0.00009206396,0.9498804,0.00005728634,0.0001503013,0.0001158328,0.0002000058,0.0285308,0.0002894528,0.0004603896,0.004255404,0.01587113],"study_design_scores_gemma":[0.00003970679,0.00006159776,0.5864749,0.00009708568,0.000109882,0.00007352534,0.001073836,0.4076293,0.0001926319,0.0003804989,0.003828675,0.00003829374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978914,0.0007639272,0.005349211,0.0009943068,0.00003056006,0.0001493144,0.01006766,0.0002229299,0.003508008],"genre_scores_gemma":[0.9916657,0.0001814021,0.003100511,0.00007179316,0.000006932193,0.00005069464,0.00302917,0.0000165932,0.001877157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01822123,"threshold_uncertainty_score":0.1322049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008633515239433903,"score_gpt":0.2174652159050731,"score_spread":0.2088317006656392,"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."}}