{"id":"W2081138809","doi":"10.1111/j.0006-341x.2003.00101.x","title":"Semiparametric Estimation of Tag Loss and Reporting Rates for Tag‐Recovery Experiments Using Exact Time‐at‐Liberty Data","year":2003,"lang":"en","type":"article","venue":"Biometrics","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Nonparametric statistics; Parametric statistics; Statistics; Econometrics; Computer science; Population; Estimation; Smoothing; Mathematics; Medicine","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":[0.03761349,0.000837163,0.001893646,0.001377802,0.0004247392,0.001631574,0.003112586,0.001856068,0.002108971],"category_scores_gemma":[0.1189991,0.0009140196,0.001969787,0.001017272,0.002147019,0.003189107,0.002072598,0.002673644,0.0006213984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005187,"about_ca_system_score_gemma":0.0007279124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151618,"about_ca_topic_score_gemma":0.001256004,"domain_scores_codex":[0.9907499,0.005978254,0.0005476563,0.001387111,0.001022112,0.0003149395],"domain_scores_gemma":[0.834609,0.1183683,0.019487,0.02386173,0.002953527,0.0007203195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002059295,0.0005984093,0.08849034,0.0007674174,0.0009045919,0.0003944248,0.00109474,0.5550527,0.02627209,0.09016627,0.001554644,0.2326451],"study_design_scores_gemma":[0.00005605732,0.000319456,0.02147033,0.00005636937,0.0001416344,0.0002832696,0.00008373906,0.9263964,0.007366294,0.04272432,0.0009733881,0.0001286651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07981671,0.00009855186,0.9187544,0.0001187968,0.00001287248,0.00009224565,0.0003344825,0.0003413783,0.0004305408],"genre_scores_gemma":[0.7461088,0.0001947511,0.2486529,0.0002152016,0.00003605242,0.0007911548,0.001549506,0.0001506047,0.002301092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03761349,"threshold_uncertainty_score":0.1989216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046416869081204,"score_gpt":0.3508953276928258,"score_spread":0.2462536407847054,"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."}}