{"id":"W1969679565","doi":"10.1111/j.1420-9101.2006.01272.x","title":"Horn growth rate and longevity: implications for natural and artificial selection in thinhorn sheep (<i>Ovis dalli</i>)","year":2006,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Department of Environment","funders":"","keywords":"Longevity; Biology; Ovis; Ovis canadensis; French horn; Natural selection; Ecology; Mortality rate; Zoology; Growth rate; Bovidae; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244997,0.0001539133,0.0002255901,0.0004982188,0.0002000945,0.0004987374,0.0002898512,0.0002057589,0.0003587772],"category_scores_gemma":[0.002795966,0.0001100468,0.0001716211,0.0003953105,0.0005878872,0.0002021747,0.0002961708,0.0002026839,0.00004469296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006636389,"about_ca_system_score_gemma":0.0004244171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254285,"about_ca_topic_score_gemma":0.04464637,"domain_scores_codex":[0.9996639,0.0001477554,0.00003306585,0.0000705672,0.00004914114,0.00003558986],"domain_scores_gemma":[0.9978642,0.0009134495,0.0007390197,0.0001527743,0.0001582318,0.0001723809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001779365,0.00002024973,0.9874813,0.00001439118,0.0000887788,0.00008065384,0.0001905396,0.0003103402,0.008442698,0.00006740763,0.00003305298,0.003092605],"study_design_scores_gemma":[0.000002628525,0.00003883402,0.9989992,0.000002167192,0.00001375404,0.0000514374,0.00007708646,0.0004844923,0.0002439954,0.00003193096,0.00005093024,0.000003660513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996777,0.00008495156,0.00009492634,0.00001582999,9.054954e-7,0.000001064177,0.00004767004,0.000001259107,0.00007562732],"genre_scores_gemma":[0.9995857,0.00004466562,0.0001784895,0.00001698593,0.000002281807,0.00000416268,0.0001081568,0.000002065461,0.00005743356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254285,"threshold_uncertainty_score":0.02493966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008861786608738341,"score_gpt":0.2313508016060396,"score_spread":0.2224890149973013,"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."}}