{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004241412,0.0001733391,0.0001965727,0.0004603122,0.0001593153,0.0002866717,0.0001746709,0.0002545847,0.0007879275],"category_scores_gemma":[0.001053991,0.000173835,0.0001033393,0.0001471173,0.0002613266,0.0002980846,0.0002245287,0.0001726611,0.0001810024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290247,"about_ca_system_score_gemma":0.00006653932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009405383,"about_ca_topic_score_gemma":0.007144179,"domain_scores_codex":[0.9998887,0.00004021452,0.000009094945,0.00002403575,0.00001934882,0.00001874207],"domain_scores_gemma":[0.9990226,0.0002144085,0.0004750265,0.00006092266,0.00004367653,0.0001833289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001948958,0.00006710529,0.9892828,0.00001077352,0.000031794,0.00009301759,0.0002696349,0.00005419225,0.006192462,0.0000216021,0.00003752097,0.003744225],"study_design_scores_gemma":[0.000002901199,0.0001244122,0.9992431,0.00000167544,0.000006346485,0.0001327529,0.00008795938,0.0001606177,0.000174987,0.00002206701,0.00004127904,0.000001844208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998944,0.00003450346,0.00001682175,0.000003028798,2.655762e-7,4.731506e-7,0.000006686427,5.012042e-7,0.00004338401],"genre_scores_gemma":[0.9995651,0.00003119654,0.0001542687,0.000008870365,0.000002190577,0.000002627399,0.00005736789,8.877824e-7,0.0001775185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009405383,"threshold_uncertainty_score":0.002635837,"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."}}