{"id":"W2946121211","doi":"10.4081/gh.2019.741","title":"Epidemiology of canine heartworm (Dirofilaria immitis) infection in domestic dogs in Ontario, Canada: Geographic distribution, risk factors and effects of climate","year":2019,"lang":"en","type":"article","venue":"Geospatial health","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Resources Canada; Zoetis","keywords":"Dirofilaria immitis; Veterinary medicine; Population; Geography; Dirofilariasis; Epidemiology; Poisson regression; Demography; Biology; Medicine; Zoology; Environmental health; Helminths; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004735085,0.0001314354,0.0006817185,0.0001456429,0.00003167087,7.916422e-7,0.00002532907,0.00006593901,0.00004216201],"category_scores_gemma":[0.0004184129,0.00010802,0.00004747682,0.0002192004,0.00006299549,0.00003199036,0.00002735191,0.0002420766,8.957211e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007603396,"about_ca_system_score_gemma":0.001917238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994844,"about_ca_topic_score_gemma":0.9987149,"domain_scores_codex":[0.998313,0.0003017387,0.000496896,0.0002253894,0.0001772833,0.0004856902],"domain_scores_gemma":[0.9986923,0.0006033267,0.0001939627,0.0001766588,0.00005026285,0.000283485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002536657,0.0002345382,0.9977326,0.000603448,0.00003462057,0.00003341559,0.00007069355,0.0001306145,0.000001901852,0.00009949442,0.00001906267,0.00078592],"study_design_scores_gemma":[0.002634677,0.001367586,0.9948358,0.0003216597,0.00002946044,0.000009931789,0.000008375468,0.0006234609,0.000007509169,0.00008540004,0.00001531974,0.00006084106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976124,0.0008729591,0.00003788895,0.0001445244,0.0001390732,0.0009264784,0.000233348,0.000005608394,0.00002768954],"genre_scores_gemma":[0.9979621,0.001400435,0.00002689349,0.00005132412,0.000008458974,0.00002417949,0.000512048,0.000006388648,0.000008133553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002896846,"threshold_uncertainty_score":0.4404929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008682633968296247,"score_gpt":0.2998928504724155,"score_spread":0.2912102165041192,"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."}}