{"id":"W2030880619","doi":"10.1002/cjs.5550360102","title":"Capture‐recapture models: Introduction","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; Mark and recapture; History; Information retrieval; Sociology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001699477,0.00008517915,0.0001608822,0.0001701053,0.0001485165,0.00001695722,0.00008249479,0.00006366034,0.0002598558],"category_scores_gemma":[0.000457911,0.00007905249,0.00003642375,0.0001069065,0.00005849045,0.0001590706,0.000002287339,0.0001929098,0.000007068983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368755,"about_ca_system_score_gemma":0.0005335111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009980543,"about_ca_topic_score_gemma":0.007378312,"domain_scores_codex":[0.9992108,0.00003158942,0.0003665894,0.00006432035,0.0001715388,0.000155125],"domain_scores_gemma":[0.9987919,0.0000747912,0.0002705005,0.0001088206,0.0004557363,0.0002982885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001029046,0.00001518727,0.00143689,0.00003228697,0.00003137562,0.0002102171,0.002710203,0.004245758,0.00001123793,0.4239754,0.5648206,0.002500518],"study_design_scores_gemma":[0.0007232318,0.0001197539,0.00746303,0.00005507554,0.0001286166,0.003368325,0.0003124215,0.02386356,0.00003892741,0.8777864,0.08578726,0.0003534076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05461695,0.0004082923,0.9380753,0.002334942,0.001854694,0.0001406512,0.0003348362,0.00001585839,0.002218465],"genre_scores_gemma":[0.8404269,0.00002846318,0.1579981,0.0001063325,0.0007540914,4.9929e-7,0.00002732805,0.00001935853,0.0006388492],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.78581,"threshold_uncertainty_score":0.4117271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06342238069599793,"score_gpt":0.2671231600706578,"score_spread":0.2037007793746599,"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."}}