{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08832791,0.001179145,0.001594459,0.002009682,0.001052187,0.001507998,0.003556046,0.002119301,0.0121097],"category_scores_gemma":[0.1054781,0.0008453227,0.001090337,0.002591301,0.001986882,0.001719263,0.002187358,0.001872525,0.002486582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029879,"about_ca_system_score_gemma":0.002013654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006132351,"about_ca_topic_score_gemma":0.0009630091,"domain_scores_codex":[0.9045298,0.07958438,0.004496262,0.004441375,0.00621959,0.0007287405],"domain_scores_gemma":[0.9288288,0.04502829,0.006936116,0.01205079,0.006368392,0.0007876303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001839455,0.0005840544,0.01336599,0.004342736,0.001109715,0.0003005371,0.001468512,0.01597868,0.003676603,0.602103,0.01448983,0.3407409],"study_design_scores_gemma":[0.003694165,0.008667093,0.01954552,0.003390018,0.001329339,0.001961071,0.0007849857,0.06573993,0.008029132,0.6978371,0.1887119,0.0003097833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008066813,0.001468997,0.9682761,0.0008041825,0.0004182417,0.01052384,0.001226724,0.0001600777,0.009054922],"genre_scores_gemma":[0.1183872,0.001937241,0.8382185,0.00130338,0.0003625216,0.03301464,0.0008866045,0.00005366188,0.005836375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08832791,"threshold_uncertainty_score":0.4671282,"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."}}