{"id":"W6961143372","doi":"10.1371/journal.pone.0212637.g002","title":"Detection of municipalities at-risk of Lyme disease using passive surveillance of <i>Ixodes scapularis</i> as an early signal: A province-specific indicator in Canada - Fig 2","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyme disease; LYME; Tick; Range (aeronautics); Point (geometry); Tick-borne disease; Borrelia burgdorferi","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006707624,0.0004468935,0.0002564027,0.001424886,0.0005033061,0.0008856171,0.0006672099,0.0002322043,0.002427476],"category_scores_gemma":[0.002269892,0.0002119913,0.0003034023,0.001402438,0.0004423336,0.0002314917,0.0006451664,0.0002455356,0.0003591633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009821797,"about_ca_system_score_gemma":0.01760659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984049,"about_ca_topic_score_gemma":0.9928445,"domain_scores_codex":[0.9995258,0.00003992427,0.00001829464,0.00008745489,0.0001423098,0.0001862721],"domain_scores_gemma":[0.9981944,0.0001598414,0.0002661597,0.00005782606,0.0009794701,0.00034236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003437816,0.00002421606,0.9761589,0.000106712,0.00005645781,0.00005353849,0.0005072068,0.000867508,0.00251102,0.00017652,0.002782386,0.01641177],"study_design_scores_gemma":[0.00001163406,0.00004487976,0.994995,0.00003706716,0.00003427485,0.00004782764,0.0006899687,0.001430016,0.0007252482,0.00003841208,0.001936874,0.000008903247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9764424,0.0006117685,0.001446893,0.0002952599,0.0000156986,0.0001183423,0.01317994,0.000115479,0.007774152],"genre_scores_gemma":[0.9927233,0.000241806,0.001187082,0.00004471533,0.000002946653,0.0000220765,0.003402511,0.00001060865,0.002364963],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01595104,"threshold_uncertainty_score":0.07126248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126464837505536,"score_gpt":0.207716700740107,"score_spread":0.1864520523650517,"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."}}