{"id":"W6902326253","doi":"10.6084/m9.figshare.6046346.v1","title":"Additional file 1: of Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalized linear mixed model; West Nile virus; Mixed model; Log-linear model; Table (database); Linear model; Distribution (mathematics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001780303,0.0008950743,0.001156089,0.001796648,0.001377364,0.001131876,0.002021369,0.0008359884,0.6336439],"category_scores_gemma":[0.02485815,0.0007118261,0.001471412,0.003941386,0.0003585204,0.0009741287,0.0007904491,0.0006822762,0.03186408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351407,"about_ca_system_score_gemma":0.00915683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6057723,"about_ca_topic_score_gemma":0.7423136,"domain_scores_codex":[0.9994535,0.0001184033,0.00007497162,0.0001317747,0.0001204709,0.0001008937],"domain_scores_gemma":[0.9863274,0.01007875,0.0006992617,0.0006707415,0.001880755,0.000343123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003501927,0.00007375368,0.0248336,0.00334252,0.0002131672,0.000125422,0.0004410122,0.001901743,0.0001033157,0.0007344972,0.9531721,0.01470867],"study_design_scores_gemma":[0.006269398,0.0004002338,0.3038855,0.007097945,0.001383167,0.0005996155,0.002181884,0.01302598,0.0006272516,0.005462111,0.6588093,0.0002576893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007715327,0.00001886759,0.0003447022,0.00007265263,0.00001272286,0.0001165321,0.997957,0.00009783205,0.0006082051],"genre_scores_gemma":[0.06308482,0.0003721975,0.01220017,0.00044611,0.00008970833,0.008275734,0.8886561,0.0007625208,0.02611263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6057723,"threshold_uncertainty_score":0.7930989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573165373758494,"score_gpt":0.2557471749390881,"score_spread":0.1900155212015032,"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."}}