{"id":"W4239534736","doi":"10.1002/9781118445112.stat07667","title":"Capture–Recapture Sampling Designs","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mark and recapture; Computer science; Sampling (signal processing); Point (geometry); Data collection; Focus (optics); Sampling design; Data science; Data mining; Statistics; Mathematics; Sociology; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000289896,0.0007412379,0.0009404793,0.0003743445,0.0001297202,0.00008859158,0.0004106416,0.0007222259,0.0053818],"category_scores_gemma":[0.0008542424,0.0006738133,0.00008775622,0.0002272656,0.0001250261,0.00005054768,0.00008867469,0.0007794179,0.0003005351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335735,"about_ca_system_score_gemma":0.0001909007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004209524,"about_ca_topic_score_gemma":0.003034477,"domain_scores_codex":[0.9969431,0.0001766424,0.0008668883,0.0007002153,0.0007233361,0.0005898177],"domain_scores_gemma":[0.9968735,0.0006783721,0.001032908,0.0008788228,0.000275852,0.0002605511],"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":[0.00001885025,0.0001722849,0.00008579333,0.0005935468,0.0000962374,0.00001197982,0.0001476217,0.00004577305,0.00001687621,0.1860327,0.7990122,0.01376618],"study_design_scores_gemma":[0.0006249282,0.00009518529,0.0002074549,0.001164197,0.0002880158,0.00001493536,0.00004580396,0.004129178,0.000002968197,0.1468338,0.8455517,0.001041854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002639477,0.0005495747,0.9179915,0.00009597737,0.0006970213,0.0007033653,0.02469748,0.0006974729,0.05454127],"genre_scores_gemma":[0.0005499422,0.000551661,0.7330983,0.0002085807,0.0007286762,0.00002964646,0.01616921,0.0008630318,0.2478009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1932596,"threshold_uncertainty_score":0.9995713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1474602549793015,"score_gpt":0.3842989114133875,"score_spread":0.236838656434086,"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."}}