{"id":"W2601371700","doi":"10.1017/s0031182017000117","title":"Evaluating the submission of digital images as a method of surveillance for <i>Ixodes scapularis</i> ticks","year":2017,"lang":"en","type":"article","venue":"Parasitology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Bishop's University; Public Health Agency of Canada","funders":"","keywords":"Ixodes scapularis; Tick; Identification (biology); Biology; Parasitiformes; Acari; Teleradiology; Lyme disease; Ixodidae; Ixodes; Digital image; Veterinary medicine; Zoology; Artificial intelligence; Computer science; Ecology; Medicine; Image processing; Virology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006078513,0.0001416045,0.000426772,0.00004488065,0.000343695,0.00002193074,0.0004442937,0.0001769007,0.0000831802],"category_scores_gemma":[0.003416331,0.0001002295,0.0001637395,0.00003411708,0.000567829,0.0000900828,0.0001242315,0.0001217389,0.00003560746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188614,"about_ca_system_score_gemma":0.0001095162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002324623,"about_ca_topic_score_gemma":0.00002956547,"domain_scores_codex":[0.9987797,0.0003287389,0.0003325559,0.0002553084,0.00003931847,0.0002644224],"domain_scores_gemma":[0.99716,0.001428251,0.000553915,0.0006255468,0.0002152445,0.0000170023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005453672,0.0001595409,0.4581685,0.00006289532,0.0002938137,0.000001618826,0.0001435024,0.0000229527,0.5176675,0.001179719,0.0008874084,0.02086719],"study_design_scores_gemma":[0.002065673,0.001176435,0.4770047,0.00003901537,0.0001832745,0.0002446211,0.000122752,0.00007566146,0.5115188,0.005991586,0.001348303,0.0002290942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899959,0.001635844,0.004639714,0.000413333,0.0005781519,0.0004189789,0.000143193,0.00003067185,0.002144202],"genre_scores_gemma":[0.998921,0.00001825363,0.0005747287,0.00003033461,0.00003083362,0.00004659938,0.00003275122,0.00001430563,0.0003312207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0206381,"threshold_uncertainty_score":0.4089914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04067755145243927,"score_gpt":0.4165253070962614,"score_spread":0.3758477556438221,"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."}}