{"id":"W1972385242","doi":"10.1111/j.0006-341x.2005.021126.x","title":"Multi‐List Methods Using Incomplete Lists in Closed Populations","year":2005,"lang":"en","type":"article","venue":"Biometrics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd","keywords":"Human immunodeficiency virus (HIV); Computer science; Mark and recapture; Population; Statistics; Data mining; Econometrics; Medicine; Mathematics; Virology; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0007967983,0.0001237078,0.0002018466,0.001655509,0.0001000206,0.00004274157,0.0001095404,0.0001078454,0.0000791435],"category_scores_gemma":[0.001708342,0.0001262527,0.00006127787,0.003807489,0.00002188393,0.0001741467,0.00004482735,0.00009986834,0.00001484232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561278,"about_ca_system_score_gemma":0.00002434363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002436175,"about_ca_topic_score_gemma":0.0003074966,"domain_scores_codex":[0.9987779,0.0001300633,0.0005030034,0.0001804372,0.0002082651,0.0002003112],"domain_scores_gemma":[0.9990489,0.0003462554,0.0001963837,0.0002446381,0.00009875752,0.00006502889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003808981,0.001649849,0.3534451,0.0003143342,0.00004929897,0.00001103647,0.001998808,0.006306263,0.02534712,0.09396434,0.002404721,0.5144711],"study_design_scores_gemma":[0.0008630357,0.00001491671,0.2393913,0.00003277055,0.00003055352,0.000008341334,0.0000222038,0.7328103,0.0003177662,0.008999017,0.0172171,0.0002927404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4329149,0.0001599109,0.5656868,0.0002050434,0.0003732371,0.0002678371,0.00002644814,0.00009090586,0.0002748241],"genre_scores_gemma":[0.4164925,0.000002715185,0.5832619,0.00003334956,0.00007396864,0.000002726207,0.00002647018,0.0000140283,0.00009231477],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.726504,"threshold_uncertainty_score":0.5148437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4779702054317932,"score_gpt":0.5273591692275992,"score_spread":0.04938896379580598,"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."}}