{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002902684,0.002228825,0.002095081,0.001194134,0.0005220394,0.001541014,0.003781471,0.003137849,0.01232901],"category_scores_gemma":[0.008089861,0.00187556,0.002336944,0.001943273,0.0009516924,0.002567732,0.002040605,0.003723796,0.006006815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224832,"about_ca_system_score_gemma":0.001436233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244325,"about_ca_topic_score_gemma":0.01225026,"domain_scores_codex":[0.9992466,0.0003324871,0.0000506236,0.0002174985,0.000100894,0.0000519711],"domain_scores_gemma":[0.9971341,0.001941046,0.000148836,0.0002952267,0.0004165905,0.00006412024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006154678,0.0002215355,0.00350941,0.001664037,0.0005156521,0.0004317559,0.0003097346,0.2748438,0.001045207,0.4536311,0.08781209,0.1759541],"study_design_scores_gemma":[0.0000512376,0.0001341772,0.002961109,0.00086236,0.0004162547,0.0005681129,0.0001035795,0.3464611,0.0005749771,0.4487632,0.198908,0.0001959205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003419998,0.04895986,0.9193611,0.004655659,0.001756397,0.0001710721,0.003549028,0.0007451444,0.01738176],"genre_scores_gemma":[0.1571413,0.1719939,0.5138897,0.007535477,0.01239251,0.002347048,0.008551091,0.001556769,0.1245922],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01244325,"threshold_uncertainty_score":0.04124463,"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."}}