{"id":"W2996410419","doi":"10.1111/biom.13185","title":"On continuous‐time capture‐recapture in closed populations","year":2019,"lang":"en","type":"letter","venue":"Biometrics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mark and recapture; Poisson distribution; Discretization; Bernoulli's principle; Computer science; Sampling (signal processing); Statistics; Discrete time and continuous time; Population size; Population; Mathematics; Econometrics; Applied mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003730284,0.0004111937,0.0006697591,0.00356985,0.00005883666,0.00008359272,0.0002909527,0.001508548,0.0004625661],"category_scores_gemma":[0.001863674,0.0003832783,0.0001985965,0.002996298,0.00002600248,0.00008700223,0.00004453862,0.001246226,0.0008322345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160927,"about_ca_system_score_gemma":0.00006129159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063663,"about_ca_topic_score_gemma":0.00001680354,"domain_scores_codex":[0.9975263,0.0001390028,0.0007078484,0.0004703956,0.0007449182,0.0004115415],"domain_scores_gemma":[0.9972879,0.001288047,0.0005395288,0.0006900458,0.0001534778,0.00004099454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007338085,0.00007562834,0.001025213,0.0001684723,0.00001818943,0.00003644219,0.0000851983,0.00002972503,0.000009732878,0.003979892,0.9935781,0.000986006],"study_design_scores_gemma":[0.0008595011,0.00008175065,0.004807767,0.000228868,0.00009319732,0.00001078491,0.000006426879,0.002107731,0.000005638961,0.0342916,0.956755,0.0007517675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04381689,0.001346292,0.01000965,0.8643472,0.01694885,0.008334276,0.003468215,0.001365436,0.05036325],"genre_scores_gemma":[0.06023573,0.00004955249,0.04629566,0.7055911,0.007526799,0.0001477423,0.02029596,0.0008260595,0.1590314],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1587561,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07591859289225492,"score_gpt":0.3259205004281728,"score_spread":0.2500019075359179,"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."}}