{"id":"W4210370538","doi":"10.1371/journal.pone.0263243","title":"Current and future distribution of Ixodes scapularis ticks in Québec: Field validation of a predictive model","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Public Health Agency of Canada; Institut National de Santé Publique du Québec","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Ixodes scapularis; Tick; Lyme disease; Population; Ixodes; Tick-borne disease; Borrelia burgdorferi; Biology; Borrelia; Ecology; Ixodidae; Environmental health; Medicine; Virology; Immunology","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":[0.002235136,0.0008949319,0.0004131436,0.0005889972,0.0009121903,0.001066616,0.001723517,0.0006401803,0.002046338],"category_scores_gemma":[0.004092108,0.0002733816,0.0005212436,0.0005984737,0.0004511543,0.0004340401,0.0003817209,0.0007803161,0.000284307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01627614,"about_ca_system_score_gemma":0.006826221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9712891,"about_ca_topic_score_gemma":0.9443372,"domain_scores_codex":[0.9996206,0.0001145367,0.00001697785,0.0001090422,0.00006404963,0.00007490724],"domain_scores_gemma":[0.9965122,0.001374757,0.0002113567,0.0001203831,0.001634414,0.0001469957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002387177,0.0002433844,0.1103641,0.00008051179,0.0001209927,0.0001159343,0.0001079073,0.8701609,0.000961631,0.000459232,0.003806793,0.01333993],"study_design_scores_gemma":[0.00003964734,0.0000615766,0.01862608,0.00002296617,0.00002689159,0.000008327805,0.00006023364,0.9800524,0.0002511411,0.00009786231,0.0007386324,0.00001426361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808241,0.0003874897,0.007968451,0.0007007665,0.000038862,0.0001519515,0.004521979,0.0003187604,0.005087737],"genre_scores_gemma":[0.9910808,0.000125559,0.004210388,0.0001190361,0.000006443302,0.00006171013,0.002745848,0.00001954027,0.00163062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0287109,"threshold_uncertainty_score":0.1180922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565799664946067,"score_gpt":0.2242588869861379,"score_spread":0.2086008903366772,"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."}}