{"id":"W3216632192","doi":"10.1101/2021.11.30.470584","title":"Benefits of living closer to kin vary by genealogical relationship in a territorial mammal","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Saskatchewan; University of Alberta","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Fulbright Canada; National Science Foundation","keywords":"Kinship; Inclusive fitness; Reproductive success; Mammal; Kin selection; Kin recognition; Demography; Ecology; Biology; Sociology; Population","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":[0.0002146887,0.0001033766,0.0001890518,0.0003941369,0.0001947234,0.000340045,0.0001247878,0.0001900379,0.002181397],"category_scores_gemma":[0.0007769095,0.00009568141,0.0001083847,0.0001928922,0.0002841961,0.0002387699,0.0003564995,0.000230825,0.0001703666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000775262,"about_ca_system_score_gemma":0.00004391031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144564,"about_ca_topic_score_gemma":0.00334035,"domain_scores_codex":[0.999892,0.00003487475,0.000004822135,0.00003929601,0.00001255707,0.00001653317],"domain_scores_gemma":[0.9992818,0.0002748993,0.0002161062,0.00006668908,0.00003172149,0.0001288616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002086569,0.00009378123,0.9273995,0.00003193607,0.0001624927,0.0001542327,0.0004299549,0.0004423896,0.06592486,0.0001487539,0.0001135424,0.004889951],"study_design_scores_gemma":[8.436359e-7,0.00004529045,0.9990444,0.000001281171,0.0000121332,0.000077117,0.0001274389,0.0002881496,0.0003024177,0.0000446101,0.00005456599,0.000001804719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998286,0.00001634387,0.00004439005,0.000004290976,3.774084e-7,2.222889e-7,0.00001428339,0.000001572814,0.00009003284],"genre_scores_gemma":[0.9998022,0.000007696019,0.00006318777,0.000006798069,0.000001289665,6.504657e-7,0.00002526102,0.000001579754,0.0000914491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002181397,"threshold_uncertainty_score":0.007297575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993981165360317,"score_gpt":0.2289740264558089,"score_spread":0.2090342148022057,"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."}}