{"id":"W85809539","doi":"10.2527/2000.78127x","title":"Breed and sex differences in growth curves for two breeds of dog guides.","year":2000,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gompertz function; Breed; Body weight; Growth curve (statistics); Labrador Retriever; Animal science; Biology; German Shepherd Dog; Inflection point; Demography; Veterinary medicine; Mathematics; Medicine; Statistics; Endocrinology; 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":[0.001108151,0.0002464541,0.0001658756,0.001659471,0.0001424084,0.0003165329,0.0002186438,0.0002500804,0.001852063],"category_scores_gemma":[0.003970765,0.00015985,0.0003500925,0.000829977,0.0002132693,0.0002926323,0.0002916449,0.0002209516,0.0007057176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003150339,"about_ca_system_score_gemma":0.0002262233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006916024,"about_ca_topic_score_gemma":0.01705874,"domain_scores_codex":[0.9995109,0.0001139812,0.00003372357,0.0001529798,0.0001346357,0.00005379259],"domain_scores_gemma":[0.9963541,0.001079338,0.001126924,0.000319834,0.000814758,0.0003050416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001235563,0.0001012678,0.9200778,0.0000913494,0.0001877291,0.0002196547,0.001243072,0.0008762332,0.01631193,0.0003504294,0.002271801,0.05703311],"study_design_scores_gemma":[0.000004371635,0.0001630675,0.9964793,0.000006401739,0.00002270172,0.0003127028,0.0001500751,0.0006005393,0.0006989923,0.00003840959,0.001511275,0.00001224169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929013,0.0003704545,0.001620406,0.00002767363,0.000009023391,0.00002334333,0.002692193,0.00009117552,0.002264527],"genre_scores_gemma":[0.9852312,0.0002730178,0.004239524,0.00003295405,0.000006716778,0.0000727766,0.007490826,0.00009418243,0.002558853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006916024,"threshold_uncertainty_score":0.01375151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0908697691796232,"score_gpt":0.3612764996228251,"score_spread":0.2704067304432019,"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."}}