{"id":"W4405920301","doi":"10.1111/ele.14505","title":"Inheritance of Material Wealth in a Natural Population","year":2024,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Vetenskapsrådet; Svenska Forskningsrådet Formas; Royal Swedish Academy of Sciences","keywords":"Biology; Inheritance (genetic algorithm); Heritability; Population; Evolutionary biology; Adaptation (eye); Genetic Fitness; Natural selection; Local adaptation; Ecology; Genetics; Demography; Biological evolution; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007826184,0.000132496,0.0002419757,0.0007201668,0.0004113686,0.0003900143,0.000269482,0.0002534116,0.001551238],"category_scores_gemma":[0.001515765,0.0001449688,0.0001870906,0.0003673366,0.0008146038,0.000251804,0.0003921851,0.000210621,0.000116251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809667,"about_ca_system_score_gemma":0.0001568725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967589,"about_ca_topic_score_gemma":0.003282074,"domain_scores_codex":[0.9996279,0.0001212305,0.00002119024,0.0001608845,0.00004601321,0.00002275448],"domain_scores_gemma":[0.9989215,0.00047774,0.0002559901,0.0001836716,0.00007386109,0.00008724013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004277172,0.0002232111,0.8839594,0.00005900619,0.0007056613,0.001130674,0.0007207526,0.006711871,0.08524626,0.00356791,0.0002867931,0.0169607],"study_design_scores_gemma":[0.00003561777,0.0002782118,0.9838792,0.00001113335,0.00009938043,0.0007412295,0.000213314,0.01052533,0.001015375,0.002813456,0.0003526132,0.00003520872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991098,0.00002210406,0.000551259,0.000009619817,6.263332e-7,0.000002853398,0.00004922756,0.000005041691,0.0002494519],"genre_scores_gemma":[0.9995219,0.00001404187,0.0003322005,0.000008215723,0.000001642345,0.00000369434,0.00004683127,0.000001252634,0.00007030233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001967589,"threshold_uncertainty_score":0.005189419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007064439578931,"score_gpt":0.2298312943727797,"score_spread":0.2197606499769904,"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."}}