{"id":"W2032665906","doi":"10.1046/j.1439-0310.2001.00663.x","title":"Group Choice by Subadult Bighorn Rams: Trade‐offs between Foraging Efficiency and Predator Avoidance","year":2001,"lang":"en","type":"article","venue":"Ethology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Population; Biology; Predator; Demography; Foraging; Sex ratio; Bachelor; Predation; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003762457,0.0001232821,0.0001577398,0.00002664044,0.0002120302,0.00001340698,0.0001773092,0.0001806343,0.0002913554],"category_scores_gemma":[0.0001180314,0.0001221867,0.00002341649,0.0001846681,0.0003645142,0.0002043035,0.00009133785,0.0002238209,0.0001357726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004601221,"about_ca_system_score_gemma":0.000005471891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001539121,"about_ca_topic_score_gemma":0.0002089997,"domain_scores_codex":[0.9988403,0.0001662271,0.000185575,0.0003808532,0.0000949809,0.0003320837],"domain_scores_gemma":[0.9994249,0.0002463971,0.00007558391,0.0001710612,0.000002701906,0.00007938166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009670751,0.00003446469,0.9848765,0.000003127391,0.0000045785,0.000006727746,0.000310711,0.0000100758,0.002273359,0.00004086332,0.003570288,0.008859701],"study_design_scores_gemma":[0.0003669521,0.00009905521,0.9765427,0.000003568901,0.00001311457,0.00003330937,0.00004048388,0.0002008554,0.0001469649,0.0004400672,0.02197634,0.000136581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907354,0.0001329252,0.003435467,0.004064047,0.0001361321,0.0001550563,0.000006198644,0.00006368425,0.001271067],"genre_scores_gemma":[0.9968579,0.00004776584,0.0004897673,0.001948255,0.00008260474,0.00002644561,0.00001821939,0.00001075357,0.0005182808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01840606,"threshold_uncertainty_score":0.4982629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222572657939914,"score_gpt":0.2409116992322364,"score_spread":0.2286859726528372,"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."}}