{"id":"W4416576871","doi":"10.1002/env.70049","title":"Simulation‐Based Inference for Close‐Kin Mark‐Recapture: Implications for Small Populations and Nonrandom Mating","year":2025,"lang":"en","type":"article","venue":"Environmetrics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alaska Fisheries Science Center","keywords":"Approximate Bayesian computation; Inference; Estimator; Pairwise comparison; Population; Bayesian probability; Statistical inference; Sampling (signal processing); Small population size; Bayesian inference","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":[0.02135543,0.0002867879,0.0008387156,0.0007878203,0.0007969308,0.001350131,0.00153294,0.0009531688,0.001538165],"category_scores_gemma":[0.1758433,0.0005106447,0.0005703423,0.001011786,0.001931715,0.001977339,0.001451904,0.001673867,0.0001507526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530054,"about_ca_system_score_gemma":0.001323943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03830468,"about_ca_topic_score_gemma":0.0295307,"domain_scores_codex":[0.9911166,0.007406481,0.0002573824,0.0005446365,0.0005633449,0.0001116136],"domain_scores_gemma":[0.7236662,0.2618959,0.003594223,0.007113828,0.003161638,0.0005682447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001371164,0.00004671522,0.03118428,0.0001258233,0.000157048,0.0001584871,0.0005147476,0.8843715,0.0009056574,0.0467664,0.0007105717,0.03492178],"study_design_scores_gemma":[0.00001520629,0.00001693656,0.002272998,0.00002198128,0.00001069628,0.00004769444,0.00003780191,0.9777021,0.0002065683,0.01936624,0.0002895236,0.0000122361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.131536,0.0004108095,0.8653672,0.0007479499,0.00002472952,0.00007747894,0.00009412732,0.0003138113,0.001427913],"genre_scores_gemma":[0.7761408,0.0001997038,0.2226535,0.0002218312,0.00002714201,0.0001585787,0.0001373859,0.00008100056,0.0003801784],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03830468,"threshold_uncertainty_score":0.1129396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165759506987052,"score_gpt":0.379307157131234,"score_spread":0.2627312064325287,"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."}}