{"id":"W4317212631","doi":"10.1079/onehealthcases.2023.0001","title":"Engaging an Interdisciplinary Team to Map the Current and Future Distribution of the Asian Longhorned Tick ( <i>Haemaphysalis longicornis</i> ) in North America: A One Health Approach to Risk Mapping and the Added Value of Citizen Science","year":2023,"lang":"en","type":"article","venue":"One Health Cases","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Centre for Human and Animal Health; Agriculture and Agri-Food Canada; Public Health Agency of Canada; University of Calgary","funders":"","keywords":"Tick; Geography; Government (linguistics); Haemaphysalis longicornis; Habitat; Distribution (mathematics); Public health; Haemaphysalis; Vector (molecular biology); Climate change; One Health; Political science; Ecology; Biology; Medicine; 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":[0.004053574,0.000443723,0.0002485344,0.001122251,0.002040859,0.001769123,0.001063199,0.000929049,0.002352342],"category_scores_gemma":[0.003878544,0.0002999327,0.0005985817,0.0006277161,0.000775282,0.00126068,0.003299089,0.0008925769,0.0005288717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013508,"about_ca_system_score_gemma":0.003596265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045,"about_ca_topic_score_gemma":0.08815821,"domain_scores_codex":[0.9982009,0.001054245,0.00006389142,0.0002607945,0.0002261433,0.0001941066],"domain_scores_gemma":[0.9964672,0.001234909,0.0004352908,0.0002744452,0.0006929694,0.0008951678],"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":[0.0002270521,0.001550801,0.4231141,0.0007390585,0.000359926,0.002451309,0.05812598,0.02139291,0.01894953,0.002811367,0.02636089,0.4439171],"study_design_scores_gemma":[0.000114532,0.001836572,0.3078887,0.001497627,0.0005374245,0.001517038,0.2999211,0.1512109,0.00774786,0.02661943,0.2007586,0.0003501864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786508,0.0007303674,0.08734524,0.009697972,0.0002062236,0.001064918,0.000692828,0.0007307656,0.02088078],"genre_scores_gemma":[0.8339275,0.0006131805,0.1601413,0.001361905,0.00006339467,0.0006064567,0.0005226944,0.00008760487,0.002675982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02045,"threshold_uncertainty_score":0.04066193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031278861229344,"score_gpt":0.2958187457837215,"score_spread":0.275505957171428,"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."}}