{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00327236,0.0003246506,0.0004774309,0.00399971,0.000632462,0.0008585242,0.0006599196,0.0005943907,0.00100316],"category_scores_gemma":[0.0110516,0.000202726,0.0008553394,0.001964171,0.0006804946,0.001933541,0.000919827,0.0005269879,0.0002753497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004351786,"about_ca_system_score_gemma":0.0002298748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570236,"about_ca_topic_score_gemma":0.003605062,"domain_scores_codex":[0.9989122,0.0003644272,0.0001017241,0.0004350189,0.0001328335,0.00005381413],"domain_scores_gemma":[0.9952809,0.002814081,0.0005642156,0.0005803437,0.0005987766,0.000161689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004381378,0.0001064199,0.8585399,0.0007123768,0.002323945,0.0002448634,0.002399688,0.03299468,0.02989908,0.006661816,0.002659981,0.06301913],"study_design_scores_gemma":[0.0000451874,0.0001733646,0.9426392,0.0001483001,0.0003975811,0.0005313874,0.001089041,0.03515852,0.003087926,0.007438021,0.00916243,0.0001290427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855441,0.0008448521,0.008365208,0.00006916362,0.00001862519,0.00001481034,0.003361262,0.0001141138,0.001667664],"genre_scores_gemma":[0.9756555,0.000228225,0.01319057,0.0000749539,0.00001282031,0.00004127443,0.01058029,0.00005810201,0.0001583279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00399971,"threshold_uncertainty_score":0.01730609,"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."}}