{"id":"W4242600589","doi":"10.1093/auk/124.4.1373","title":"Guidelines for Using Double Sampling in Avian Population Monitoring","year":2007,"lang":"en","type":"article","venue":"The Auk","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"","keywords":"Statistics; Estimator; Sampling (signal processing); Population; Sampling design; Standard error; Regression; Computer science; Mathematics","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":[0.0004256661,0.00004084443,0.00004972486,0.00001064697,0.0001820991,0.000004511268,0.00006556264,0.00002638441,0.00002860356],"category_scores_gemma":[0.00002320935,0.0000290457,0.00001656045,0.00006481627,0.00003106609,0.00005631174,0.00005418869,0.00003780822,0.00001355632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007565114,"about_ca_system_score_gemma":0.000001020012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023954,"about_ca_topic_score_gemma":0.0009194653,"domain_scores_codex":[0.9996079,0.000004264496,0.0001194649,0.00007966925,0.00004884361,0.0001398813],"domain_scores_gemma":[0.9998635,0.00003522352,0.0000298023,0.00005549677,0.000005511294,0.00001045467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003559317,0.000008319772,0.9907647,9.128032e-7,0.000001118918,5.347567e-7,0.0001648524,0.001013702,0.004999916,0.00006987804,0.00001162411,0.002928812],"study_design_scores_gemma":[0.0001314618,0.00001369407,0.997934,0.000005669621,0.000006899226,0.000001275033,0.0002749327,0.0002382545,0.0008170692,0.000382731,0.000151703,0.00004235121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997363,0.00002834753,0.001928018,0.000148821,0.0001343081,0.0001161943,2.941245e-7,0.00001035699,0.0002706849],"genre_scores_gemma":[0.992451,0.000001954849,0.007326479,0.00003903794,0.00008152716,0.0000045095,5.39264e-7,0.000003719736,0.00009128568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007169222,"threshold_uncertainty_score":0.154792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2954133727588849,"score_gpt":0.4435026980994317,"score_spread":0.1480893253405468,"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."}}