{"id":"W2952715890","doi":"10.1098/rsbl.2018.0061","title":"Individual repeatability and heritability of divorce in a wild population","year":2018,"lang":"en","type":"article","venue":"Biology Letters","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Heritability; Biology; Selection (genetic algorithm); Trait; Repeatability; Population; Adaptation (eye); Genetic correlation; Evolutionary biology; Genetic variation; Demography; Genetics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009601251,0.0001100247,0.0002141598,0.0006253038,0.0002037045,0.0002015402,0.0002631859,0.0001375848,0.0005665789],"category_scores_gemma":[0.001241551,0.000177884,0.000207168,0.0002347953,0.000316167,0.0002029535,0.0002366684,0.0002129933,0.0001553968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701744,"about_ca_system_score_gemma":0.00007933472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426236,"about_ca_topic_score_gemma":0.002985117,"domain_scores_codex":[0.999611,0.000118619,0.00003808534,0.0001409516,0.00006073762,0.00003056261],"domain_scores_gemma":[0.9986137,0.0005715999,0.0002922851,0.0003102715,0.0001447886,0.00006743013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001938294,0.00008824372,0.9150991,0.00002196734,0.0002872335,0.0001677783,0.0008020385,0.001139705,0.06813078,0.000215515,0.0001390026,0.01371489],"study_design_scores_gemma":[0.000002806734,0.00006294945,0.9980861,0.000001462774,0.00001885311,0.0001151997,0.00005226651,0.0006649747,0.0008497568,0.0000575937,0.00008275385,0.000005287407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991854,0.00002411292,0.0005871563,0.000003003414,5.969878e-7,0.000001633489,0.00007552826,0.000007799697,0.0001146968],"genre_scores_gemma":[0.9994654,0.000009936407,0.0003059848,0.000002505883,0.000001279585,0.000003428126,0.0001431651,0.000004122556,0.00006408575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001426236,"threshold_uncertainty_score":0.00507772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445605211448015,"score_gpt":0.2480481110192093,"score_spread":0.2235920589047291,"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."}}