{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008886637,0.0002125549,0.0003771925,0.0001711521,0.0002725364,0.00002961473,0.000215789,0.00006173054,0.000695254],"category_scores_gemma":[0.0001387446,0.000180298,0.00004644574,0.0003693942,0.0001658607,0.0001304507,0.0001297682,0.0001807236,0.000002403035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164453,"about_ca_system_score_gemma":0.0006168449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5591082,"about_ca_topic_score_gemma":0.6477697,"domain_scores_codex":[0.998499,0.0002915103,0.0003030977,0.0004450039,0.00009591117,0.0003654775],"domain_scores_gemma":[0.9992329,0.0001109298,0.00009777138,0.0003448745,0.00007254364,0.0001409575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005539195,0.004692941,0.9782214,0.00006497136,0.0001739805,0.00003954487,0.0003928276,0.006596756,0.0005480788,0.003603319,0.004301768,0.0008104962],"study_design_scores_gemma":[0.001030057,0.0004138814,0.9953417,0.00001226718,0.0001794601,0.00002499444,0.001328616,0.0001479364,0.0000867723,0.0001281241,0.001057965,0.0002482563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967805,0.001075657,0.00006662954,0.0001454376,0.0001184851,0.0005129809,0.0007389784,0.00006387359,0.0004975054],"genre_scores_gemma":[0.998398,0.000004991743,0.00004870848,0.0002011717,0.00001661289,0.0002424461,0.0007883957,0.0000209448,0.0002786955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08866157,"threshold_uncertainty_score":0.7612544,"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."}}