{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001061099,0.0001609785,0.0004451963,0.00006622774,0.00006822747,0.000005542993,0.0001834809,0.0000172334,0.0001777661],"category_scores_gemma":[0.0002207354,0.0001171299,0.00007559668,0.0002458069,0.00007945325,0.00006979637,0.0001335804,0.0001283985,6.212454e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771595,"about_ca_system_score_gemma":0.01599096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994175,"about_ca_topic_score_gemma":0.9997686,"domain_scores_codex":[0.9983553,0.00009362173,0.0005757235,0.0002080459,0.0004451358,0.0003222199],"domain_scores_gemma":[0.997496,0.0001610047,0.0001916665,0.001404993,0.0001396149,0.0006067203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001804913,0.0002655601,0.9700469,0.00013362,0.0001007106,0.004832843,0.000006348156,0.0001707788,0.0002349905,0.00006089745,0.02073223,0.003234665],"study_design_scores_gemma":[0.0006625066,0.00003414031,0.957855,0.0003028809,0.00007988985,0.00005870121,0.00003594935,0.0001336835,0.0004284494,0.00004878781,0.04020436,0.0001555918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923493,0.001573918,0.000005351485,0.003858471,0.0001818938,0.0003222369,0.0003006168,0.00001964645,0.001388625],"genre_scores_gemma":[0.998489,0.0001688603,0.000007907537,0.0001975201,0.00002384301,0.00003835772,0.00008029441,0.00002273759,0.0009714996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01947213,"threshold_uncertainty_score":0.9895874,"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."}}