{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547569,0.00008998706,0.0003252373,0.0002074394,0.00006180094,0.0000210181,0.0002905399,0.00002273126,0.000138305],"category_scores_gemma":[0.0001861158,0.00006346987,0.00006239248,0.0003711089,0.0003934279,0.0004825581,0.00003893341,0.0001033044,8.437648e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002168869,"about_ca_system_score_gemma":0.0001305005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282701,"about_ca_topic_score_gemma":0.000004227361,"domain_scores_codex":[0.9987234,0.00003744322,0.0004890148,0.0001376015,0.0003870042,0.000225575],"domain_scores_gemma":[0.999308,0.0001742767,0.0001947524,0.00007722035,0.0001321524,0.0001135743],"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":[0.001750355,0.000245959,0.1600935,0.0002744556,0.00002221303,0.0007166741,0.001306807,0.000001193043,0.8157191,0.0002258709,0.002002495,0.01764136],"study_design_scores_gemma":[0.001470978,0.01386963,0.9728206,0.00104385,0.00002876934,0.005755028,0.0004703384,0.0009090554,0.002160767,0.0007459171,0.0004988367,0.0002262147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969004,0.0007251831,0.00002554705,0.0005428058,0.00007738677,0.00007442693,0.000004017264,0.000003571153,0.001646636],"genre_scores_gemma":[0.9986318,0.00039933,0.0006336465,0.0001704793,0.0000954172,0.000001221192,1.394041e-7,0.000004188454,0.00006383051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8135583,"threshold_uncertainty_score":0.2588226,"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."}}