{"id":"W2044377172","doi":"10.1007/s00265-014-1812-x","title":"Intra-individual variability in fecal cortisol metabolites varies with lifetime exploration and reproductive life history in eastern chipmunks (Tamias striatus)","year":2014,"lang":"en","type":"article","venue":"Behavioral Ecology and Sociobiology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Nature Conservancy of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Nature Conservancy","keywords":"Biology; Animal ecology; Reproduction; Ecology; Feces; Offspring; Zoology; Population; Life history theory; Litter; Physiology; Seasonal breeder; Life history; Demography; Pregnancy","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":[0.001091816,0.0001996148,0.0004347899,0.00003879876,0.0001361483,0.00001600596,0.0000971933,0.0004270024,0.0001003263],"category_scores_gemma":[0.000186309,0.00009715748,0.00003238528,0.0001159799,0.0007274572,0.0002350428,0.00008795127,0.0003838153,0.000004031426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006939156,"about_ca_system_score_gemma":0.00003475971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008173439,"about_ca_topic_score_gemma":0.003838096,"domain_scores_codex":[0.9976614,0.0008552438,0.0003413082,0.000745596,0.00006904285,0.0003274686],"domain_scores_gemma":[0.999422,0.0002130272,0.0001362567,0.00008689549,0.000053319,0.00008848567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002507744,0.0003195292,0.9681857,0.000004642607,0.000008288747,0.000004006828,0.001432383,0.000001948498,0.01192037,0.00079151,0.00001865709,0.01706225],"study_design_scores_gemma":[0.0004790105,0.001469783,0.9953032,0.000004457037,0.0000531342,0.00001842835,0.001025535,0.00001814661,0.0001330152,0.000816347,0.0004756492,0.0002033163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978309,0.0003345436,0.000007825272,0.001122421,0.0002398641,0.0003768896,0.00001462096,0.00003785335,0.00003503821],"genre_scores_gemma":[0.9992589,0.00008167561,0.00009089789,0.0001475907,0.0001876997,0.0000831246,0.00009586674,0.000002076064,0.00005221342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02711754,"threshold_uncertainty_score":0.3961967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920914546353916,"score_gpt":0.247035418946366,"score_spread":0.2078262734828268,"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."}}