{"id":"W7113152863","doi":"","title":"Comparison of genetic effective population size estimates in species across a large range of life-history strategies","year":2025,"lang":"en","type":"other","venue":"Oskar-Bordeaux (Universite de Bordeaux)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effective population size; Range (aeronautics); Population; Population size; Biodiversity; Biological dispersal; Genetic diversity; Trait; Bayesian probability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006071426,0.001043117,0.002567624,0.001840165,0.000143942,0.00005033551,0.001051954,0.001076787,0.003468894],"category_scores_gemma":[0.0004756012,0.001316653,0.0004757337,0.001605458,0.0006766418,0.0003925482,0.0005157051,0.0007885657,0.0001557684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833055,"about_ca_system_score_gemma":0.001132474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02382536,"about_ca_topic_score_gemma":0.03738854,"domain_scores_codex":[0.9953187,0.0005298147,0.0009936033,0.001086851,0.0008326733,0.001238345],"domain_scores_gemma":[0.9956005,0.0007423667,0.001939976,0.001121462,0.0003734326,0.0002222884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00207927,0.002186734,0.7723113,0.005311103,0.001761931,0.0001799124,0.01471245,0.002841017,0.00272575,0.02451071,0.1695645,0.001815288],"study_design_scores_gemma":[0.006304962,0.0003910534,0.8646558,0.002196852,0.0007269761,0.000003614867,0.0136483,0.002449309,0.00008410036,0.0005017398,0.1075255,0.001511815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.273818,0.02913813,0.004265178,0.00007844065,0.001459585,0.00526356,0.008782469,0.001214219,0.6759804],"genre_scores_gemma":[0.8786954,0.0004319826,0.006985243,0.00003652969,0.0001772621,0.00005287545,0.0006786923,0.001022192,0.1119199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6048774,"threshold_uncertainty_score":0.9989283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219886291876473,"score_gpt":0.2960134734396879,"score_spread":0.2838146105209232,"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."}}