{"id":"W2794109737","doi":"10.14745/ccdr.v42i10a03","title":"Present state of common vector-borne diseases in Canada","year":2016,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Vector (molecular biology); State (computer science); Political science; Biology; Computer science; Genetics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003557522,0.0003258804,0.0003170097,0.004389354,0.002655852,0.002387895,0.0009889454,0.0004301278,0.009607347],"category_scores_gemma":[0.001120677,0.0002313028,0.0004917434,0.009605146,0.0008494232,0.0005633877,0.0005760363,0.0008974663,0.0007860097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04609289,"about_ca_system_score_gemma":0.07556827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975259,"about_ca_topic_score_gemma":0.9986106,"domain_scores_codex":[0.9990628,0.00002854054,0.00006185551,0.00006459852,0.0003981445,0.0003840387],"domain_scores_gemma":[0.9973158,0.00008559854,0.0002987247,0.00002211252,0.001703364,0.0005743579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004549277,0.0001193438,0.8177985,0.001467413,0.0002397894,0.00105791,0.002863723,0.001479895,0.001594537,0.006157849,0.05295364,0.1138124],"study_design_scores_gemma":[0.00001609672,0.00005303837,0.9035617,0.0005061669,0.0001042705,0.0004389509,0.004876767,0.0006392425,0.0003774323,0.000316477,0.08904943,0.00006034662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6357706,0.1069942,0.001229579,0.01219209,0.0006989504,0.0001949813,0.1114301,0.0005149659,0.1309746],"genre_scores_gemma":[0.9405164,0.03153585,0.0008523277,0.0007075033,0.00009056473,0.0000268415,0.01083136,0.00002505493,0.01541399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04609289,"threshold_uncertainty_score":0.3344288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427210324510647,"score_gpt":0.2569481045266872,"score_spread":0.2426760012815807,"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."}}