{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000656778,0.0001544252,0.0003322613,0.0007206697,0.0003219444,0.0005749949,0.0003004249,0.0003269082,0.002336193],"category_scores_gemma":[0.001962296,0.0001251684,0.0003032011,0.0007959646,0.0001624575,0.0005446582,0.000387928,0.000284165,0.0003678809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003313873,"about_ca_system_score_gemma":0.0003061859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006291881,"about_ca_topic_score_gemma":0.004901969,"domain_scores_codex":[0.9995247,0.00005577237,0.00006982771,0.0001574715,0.0001097721,0.00008252776],"domain_scores_gemma":[0.9991641,0.0001118364,0.0004397516,0.00006071828,0.0000848277,0.0001387992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008780809,0.00003309391,0.9981173,0.000008385145,0.00002480041,0.00007414194,0.0001418397,0.00002539437,0.0001878429,0.0000193513,0.0003002354,0.0009798635],"study_design_scores_gemma":[0.000003417009,0.00009199906,0.9988701,0.000006808398,0.00001114219,0.0002055108,0.0003352288,0.00009068433,0.00002464946,0.00001377433,0.0003438372,0.000002892396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994846,0.0001993282,0.0001290881,0.00007149843,0.000006172965,0.0000365038,0.003795979,0.000009717812,0.0009058373],"genre_scores_gemma":[0.9960633,0.000116502,0.00007607234,0.00006456133,0.000009905295,0.00009823962,0.003143713,0.000004867002,0.000422938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006291881,"threshold_uncertainty_score":0.01251048,"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."}}