{"id":"W4405260237","doi":"10.1016/j.ijppaw.2024.101031","title":"Molecular-based laboratory testing confer accuracy over microscopical testing for tick identification","year":2024,"lang":"en","type":"article","venue":"International Journal for Parasitology Parasites and Wildlife","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Centre for Disease Control","funders":"British Columbia Centre for Disease Control; Université de Montréal","keywords":"Biology; Identification (biology); Computational biology; Diagnostic test; Tick; Evolutionary biology; Virology; Ecology; Veterinary medicine; 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":[0.01557003,0.0008291116,0.0009757502,0.003336479,0.0004730902,0.003134031,0.0009966614,0.001047461,0.003376277],"category_scores_gemma":[0.03911592,0.0004975349,0.0006605347,0.001467394,0.001103361,0.001903219,0.001230156,0.001041025,0.002703912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454376,"about_ca_system_score_gemma":0.0009114926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432722,"about_ca_topic_score_gemma":0.006121746,"domain_scores_codex":[0.9757838,0.009796783,0.002262623,0.002062977,0.009203718,0.0008902659],"domain_scores_gemma":[0.9462379,0.02792821,0.007424245,0.004349254,0.01331791,0.000742424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001077781,0.0007923447,0.4998155,0.002210522,0.0003788241,0.0008246684,0.001716715,0.001995619,0.06519502,0.002489552,0.009915334,0.4135882],"study_design_scores_gemma":[0.0001660969,0.003480073,0.6455469,0.004001279,0.00137771,0.01531722,0.00508601,0.0340663,0.1614258,0.008291554,0.1208504,0.0003906176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7175052,0.02695186,0.1837645,0.008347863,0.002821907,0.001018931,0.004262043,0.002406279,0.05292148],"genre_scores_gemma":[0.8732896,0.007380994,0.1086365,0.001922048,0.000758075,0.0002344576,0.001582019,0.0001670554,0.006029238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01557003,"threshold_uncertainty_score":0.08234316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892668174010097,"score_gpt":0.3870956331364631,"score_spread":0.3381689513963622,"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."}}