{"id":"W1977864437","doi":"10.1016/s0167-5877(00)00135-5","title":"Age pattern of mortality in eight breeds of insured dogs in Sweden","year":2000,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Svenska Kennelklubben; Agria Djurförsäkring","keywords":"Poisson regression; Breed; Demography; Beagle; Proportional hazards model; Medicine; Survival analysis; Incidence (geometry); Hazard ratio; German Shepherd Dog; Purebred; Veterinary medicine; Confidence interval; Internal medicine; Biology; Animal science; Surgery; Mathematics; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002777309,0.0001165453,0.000309202,0.00009398191,0.000009428124,0.000001014217,0.0001227341,0.00006092688,0.0005325624],"category_scores_gemma":[0.00004393085,0.0001017634,0.00005243338,0.0001197545,0.0001719242,0.000005483317,0.00008264731,0.00008291922,0.000003183324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001410125,"about_ca_system_score_gemma":0.00001118153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007733058,"about_ca_topic_score_gemma":0.0004931695,"domain_scores_codex":[0.9989467,0.0001556485,0.0004317983,0.0002140035,0.000124735,0.0001271292],"domain_scores_gemma":[0.9995967,0.00002177957,0.0001106917,0.000201353,0.00004391958,0.00002555201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003898923,0.0002836335,0.1815208,0.0001178289,0.0001111439,0.00007615019,0.001185959,0.00000577056,0.81102,0.000002805813,0.0002143742,0.005071599],"study_design_scores_gemma":[0.001246051,0.001935505,0.9686014,0.0002757014,0.00001920471,0.0000155626,0.0002578203,0.00000932453,0.02467619,0.00003808082,0.002818266,0.0001069115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956576,0.0006617119,0.00002543814,0.00004917536,0.00006737695,0.0001638012,0.0000171241,0.000002522104,0.003355271],"genre_scores_gemma":[0.9988069,0.0003530869,0.00002576333,0.00004889195,0.00006020294,0.00002083918,0.00004130224,0.000009020798,0.0006340255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7870806,"threshold_uncertainty_score":0.5831185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0550052973064907,"score_gpt":0.3942634334748511,"score_spread":0.3392581361683604,"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."}}