{"id":"W3205026751","doi":"10.1093/jhered/esab051","title":"Social Effects on Annual Fitness in Red Squirrels","year":2021,"lang":"en","type":"article","venue":"Journal of Heredity","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Polar Knowledge Canada; National Science Foundation","keywords":"Biology; Reproductive success; Genetic Fitness; Competition (biology); Adaptation (eye); Social evolution; Survival of the fittest; Inclusive fitness; Ecology; Competitor analysis; Local adaptation; Demography; Evolutionary biology; Population; Biological evolution; Economics; Genetics","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":[0.0002473525,0.00006262888,0.0001743139,0.00001609246,0.00009133018,0.000004863211,0.00008717371,0.00007197502,0.0005946217],"category_scores_gemma":[0.00009837125,0.00005129482,0.00006599935,0.0001058194,0.00008285123,0.0001138407,0.00007881374,0.0002552572,0.00004618792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201688,"about_ca_system_score_gemma":0.00001735649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008308231,"about_ca_topic_score_gemma":0.0001626982,"domain_scores_codex":[0.9993185,0.00009903936,0.0001760796,0.00008790489,0.0001850223,0.0001334378],"domain_scores_gemma":[0.9997184,0.00008308246,0.000107472,0.00003969081,0.0000169302,0.0000343735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001921945,0.0005344034,0.9209301,0.00001196052,0.00002015502,0.002019472,0.0009462878,0.00005132278,0.005165209,0.00003564097,0.05914586,0.01094733],"study_design_scores_gemma":[0.0004771938,0.0002301586,0.9937893,0.00001290365,0.00001285818,0.00004118164,0.0002045763,0.000001629504,0.002408503,0.0003081438,0.002458606,0.00005495887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962356,0.00003428285,0.000004298406,0.001404201,0.0004373227,0.00002680161,0.000002074531,0.000002932525,0.001852481],"genre_scores_gemma":[0.9993009,0.000009765347,0.0000667303,0.0001634746,0.0002381993,0.000001040896,2.888112e-7,0.000003125581,0.0002164864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07285912,"threshold_uncertainty_score":0.6510691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502926170587968,"score_gpt":0.2867611613395766,"score_spread":0.2717318996336969,"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."}}