{"id":"W2989474788","doi":"10.1111/eva.12894","title":"Mate choice, reproductive success and inbreeding in white rhinoceros: New insights for conservation management","year":2019,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Lawrence College; Queen's University","funders":"Leibniz-Gemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Biology; Inbreeding; Mating; Reproductive success; Mating system; Rhinoceros; Ecology; Zoology; Captive breeding; Habitat; Population; Demography; Endangered species","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":[0.0003084933,0.0002543559,0.0002873939,0.0005358814,0.0002310368,0.0002914026,0.0003055361,0.0002330536,0.003089223],"category_scores_gemma":[0.0003202839,0.00008613221,0.0001150302,0.0004226777,0.0003269721,0.0005057445,0.0002129481,0.0002332784,0.0002510733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937463,"about_ca_system_score_gemma":0.0001437724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009472,"about_ca_topic_score_gemma":0.04662881,"domain_scores_codex":[0.9999483,0.00001551625,0.000003603662,0.00001731268,0.000007280374,0.000008055644],"domain_scores_gemma":[0.9998626,0.00003414458,0.00005057709,0.000007410238,0.000009334673,0.00003604062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001863679,0.0001462525,0.7457622,0.000332685,0.00007512085,0.00103441,0.001347656,0.0003053733,0.01137432,0.0005595974,0.004804763,0.2340712],"study_design_scores_gemma":[0.000002221228,0.00005868284,0.9958271,0.00005272058,0.00001328695,0.0002765152,0.0006230223,0.000271929,0.0001083877,0.0002395152,0.002518121,0.000008384341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979878,0.009637092,0.001486329,0.00097573,0.00007042076,0.00002055827,0.001044868,0.0000387759,0.006848244],"genre_scores_gemma":[0.9864266,0.004972477,0.004641339,0.000175393,0.0001188934,0.00002904315,0.0007569273,0.000015563,0.002863864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01009472,"threshold_uncertainty_score":0.02007186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936648053760065,"score_gpt":0.2422411023414601,"score_spread":0.2228746218038595,"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."}}