{"id":"W2598771408","doi":"10.1016/j.ttbdis.2017.03.003","title":"The influence of abiotic and biotic factors on the invasion of Ixodes scapularis in Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Ticks and Tick-borne Diseases","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"","keywords":"Ixodes scapularis; Abiotic component; Understory; Ecology; Biology; Tick; Biotic component; Geography; Canopy; Ixodidae","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003854826,0.0002961276,0.0003245005,0.0008057189,0.003741624,0.001637886,0.0006965735,0.0002856437,0.001537408],"category_scores_gemma":[0.0009447288,0.0002587716,0.0002770804,0.001271589,0.001259435,0.0002909825,0.000794213,0.0005751084,0.0001807023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03758927,"about_ca_system_score_gemma":0.03908538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971657,"about_ca_topic_score_gemma":0.999268,"domain_scores_codex":[0.999342,0.00005519048,0.0000202213,0.00005744169,0.0001911585,0.0003338234],"domain_scores_gemma":[0.9985318,0.00009226457,0.0002457562,0.00002475908,0.0006833337,0.0004219842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004231539,0.00007336865,0.9773196,0.0000909775,0.00009411875,0.0004542468,0.00701368,0.0005070298,0.003027945,0.0005792428,0.001992155,0.008424534],"study_design_scores_gemma":[0.000004396086,0.00001932487,0.9929194,0.00002160474,0.00001632055,0.00003807284,0.004611116,0.000163855,0.000110844,0.00002473196,0.0020626,0.000007754815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936956,0.0006678497,0.00007385193,0.0003821559,0.00001074942,0.00002491955,0.0006027495,0.000004662834,0.004537408],"genre_scores_gemma":[0.9964595,0.0005890678,0.0001025357,0.00005925175,0.000003823394,0.000007364516,0.0002485499,0.000003125424,0.002526693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03758927,"threshold_uncertainty_score":0.2727305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022031757861141,"score_gpt":0.2119477814004855,"score_spread":0.2017274638218741,"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."}}