{"id":"W3178541586","doi":"","title":"Rabies data for Canada and Alaska/US for GIS model predictions","year":2020,"lang":"en","type":"article","venue":"ScholarWorks - UA (University of Alaska System)","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Rabies; Data science; Virology; Computer science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004483416,0.0001741522,0.0005370979,0.00005117228,0.0006944204,0.00001058222,0.0006346257,0.0003586728,0.00002991712],"category_scores_gemma":[0.0003213369,0.0001941572,0.00009978065,0.00009141722,0.0002470137,0.0003580658,0.0002423603,0.0003096786,0.000006162551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005944501,"about_ca_system_score_gemma":0.0003380206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0127119,"about_ca_topic_score_gemma":0.04307222,"domain_scores_codex":[0.9987044,0.0001689264,0.0002444503,0.0005094364,0.00003891122,0.0003338967],"domain_scores_gemma":[0.9985696,0.0004823731,0.0002205238,0.0004982079,0.0001498904,0.00007937688],"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":[0.00544323,0.000157503,0.03717518,0.002078884,0.005270627,0.0000201504,0.00338966,0.01106669,0.0117621,0.009029644,0.9108238,0.003782559],"study_design_scores_gemma":[0.03036984,0.001744618,0.03159279,0.0008311377,0.003987811,0.0001839662,0.05183017,0.3618092,0.0008115477,0.0006890993,0.5140402,0.002109606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5791301,0.006915999,0.3797183,0.01694701,0.001631626,0.00282025,0.01159305,0.0002898614,0.0009538417],"genre_scores_gemma":[0.9951733,0.00006131388,0.001763351,0.0003440321,0.00004927412,0.000006454394,0.0006503349,0.00001436439,0.001937544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4160433,"threshold_uncertainty_score":0.9938625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02964975581069524,"score_gpt":0.2126001325194605,"score_spread":0.1829503767087653,"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."}}