{"id":"W2768702591","doi":"10.1186/s40575-017-0053-5","title":"Population characteristics of golden retriever lifetime study enrollees","year":2017,"lang":"en","type":"article","venue":"Canine Genetics and Epidemiology","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Population; Labrador Retriever; Medicine; Gerontology; Sociology; Surgery","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":[0.0005309961,0.0001555303,0.0004527236,0.0000366639,0.0002083857,0.00001399423,0.0001953949,0.0001351312,0.00002670762],"category_scores_gemma":[0.00154186,0.0001417302,0.00005983531,0.00001699573,0.0001702936,0.000003788759,0.0003113722,0.00008721636,0.000004467752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008208202,"about_ca_system_score_gemma":0.0000159534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958405,"about_ca_topic_score_gemma":0.0001515933,"domain_scores_codex":[0.9987741,0.0001485894,0.0004763951,0.0003416894,0.00005652433,0.0002027373],"domain_scores_gemma":[0.9987296,0.00006976187,0.0004700466,0.0005170405,0.0001405308,0.00007298451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000101077,0.00005157682,0.9829114,0.00001280769,0.0001240575,0.000001375886,0.0000575963,0.00001100996,0.0138266,0.00008773019,0.001300186,0.001514589],"study_design_scores_gemma":[0.0003405334,0.0007222366,0.9926667,0.000006607269,0.00003704529,0.000008097988,0.00008021752,0.0000628864,0.001226054,0.00009806696,0.004614817,0.0001367865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978616,0.0009060277,0.0001263975,0.000242725,0.0002669986,0.0001802861,0.0000262069,0.000005363495,0.0003844013],"genre_scores_gemma":[0.9972256,0.00084176,0.0003454803,0.0001826696,0.0003666386,0.00001267025,0.00004782306,0.0000171311,0.0009601733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01260055,"threshold_uncertainty_score":0.577959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04650954333880661,"score_gpt":0.387977137005014,"score_spread":0.3414675936662074,"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."}}