{"id":"W2561968202","doi":"10.1093/beheco/arw148","title":"Environmental heterogeneity and population differences in blue tits personality traits","year":2016,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Biology; Cyanistes; Ecology; Habitat; Life history theory; Population; Evergreen; Deciduous; Aggression; Trait; Spatial heterogeneity; Personality; Parus; Demography; Life history","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":[0.0004846083,0.0001497955,0.0002179054,0.0005801826,0.000388163,0.000361236,0.0001697474,0.000266931,0.0007629192],"category_scores_gemma":[0.0009189519,0.0001675856,0.0002074234,0.000293407,0.0004455952,0.0002069893,0.0004299691,0.0002501813,0.0000794395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629254,"about_ca_system_score_gemma":0.0001046445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002404798,"about_ca_topic_score_gemma":0.006170044,"domain_scores_codex":[0.9996307,0.0001350041,0.00002352741,0.000112919,0.00004234196,0.00005563049],"domain_scores_gemma":[0.9993674,0.0002110014,0.0001878254,0.00008170674,0.00004824694,0.0001037168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001973225,0.0000737399,0.9712044,0.00001934334,0.0003042631,0.0001647111,0.000841446,0.0002606641,0.02330008,0.00009394257,0.00007078225,0.003469264],"study_design_scores_gemma":[0.000001758858,0.00002301729,0.9995129,0.000001060358,0.000007386363,0.00004573729,0.0001546259,0.0001334932,0.0000581984,0.00002530386,0.00003462773,0.000001798184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997599,0.00003647695,0.00006653322,0.000005436887,0.000001305127,0.000001290193,0.00001827478,0.000001438456,0.0001093026],"genre_scores_gemma":[0.9998755,0.000008922473,0.00004197816,0.00000615628,0.000001352546,0.000002264229,0.00002954363,0.000001138356,0.00003318479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002404798,"threshold_uncertainty_score":0.004781604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508865251742961,"score_gpt":0.256740108227213,"score_spread":0.2116514557097834,"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."}}