{"id":"W4206768996","doi":"10.1109/jtehm.2021.3137956","title":"A Computer Vision Approach to Identifying Ticks Related to Lyme Disease","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Translational Engineering in Health and Medicine","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Toronto; Vector Institute; Response Biomedical (Canada); Public Health Ontario; Group Health Centre; Toronto Public Health","funders":"Vector Institute","keywords":"Lyme disease; Computer science; Artificial intelligence; Computer vision; Biology; Virology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004317311,0.0005495404,0.0003195242,0.001450869,0.0003060122,0.0008582817,0.0005725329,0.0008886,0.001486777],"category_scores_gemma":[0.001005536,0.0001784793,0.0005934287,0.0007228674,0.0004145156,0.0006878236,0.0004921387,0.0007652835,0.0003775946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007924127,"about_ca_system_score_gemma":0.0007109529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005696174,"about_ca_topic_score_gemma":0.004829616,"domain_scores_codex":[0.9997316,0.0000473204,0.00001584241,0.00008306003,0.00007386969,0.00004830228],"domain_scores_gemma":[0.9996806,0.00009795513,0.00004116154,0.00002421747,0.0001273551,0.00002866403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001839439,0.0005715929,0.007837408,0.0001749895,0.0001735951,0.0002982448,0.0001565338,0.2714438,0.03243624,0.01628854,0.006688008,0.6637472],"study_design_scores_gemma":[0.000005781357,0.00005862633,0.001836873,0.00001386852,0.00002219516,0.0001017265,0.00002416501,0.9861701,0.003368551,0.006719415,0.001671121,0.000007623375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06381109,0.001794169,0.9250811,0.001134639,0.0001868025,0.0001099232,0.0001463644,0.0007064082,0.007029462],"genre_scores_gemma":[0.749615,0.001126192,0.2423918,0.0004839385,0.0002002407,0.00009373805,0.0002913116,0.00003158795,0.005766207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005696174,"threshold_uncertainty_score":0.01132601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805322374452863,"score_gpt":0.3141560364627845,"score_spread":0.2961028127182559,"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."}}