{"id":"W1992763398","doi":"10.1111/j.1474-919x.2001.tb04942.x","title":"Species richness estimation of bird communities: how to control for sampling effort?","year":2001,"lang":"en","type":"article","venue":"Ibis","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Jackknife resampling; Estimator; Sampling (signal processing); Estimation; Statistics; Nonparametric statistics; Ecology; Geography; Econometrics; Mathematics; Computer science; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001418134,0.00005385873,0.0001062864,0.00003412588,0.0001544426,0.000008652979,0.00009227575,0.0000278586,0.000106304],"category_scores_gemma":[0.00005635927,0.00005017195,0.00002768228,0.0001130791,0.00009550694,0.00007922086,0.00003918184,0.00002906754,0.0000317453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003819578,"about_ca_system_score_gemma":0.00000218584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006150273,"about_ca_topic_score_gemma":0.00134692,"domain_scores_codex":[0.9996552,0.00001267439,0.00009599411,0.00006437816,0.0000627465,0.0001090029],"domain_scores_gemma":[0.9995973,0.0002179958,0.00005184964,0.00009905657,0.00001342804,0.00002043503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008247091,0.00008300666,0.8056328,0.0000314539,0.00004225062,5.596079e-7,0.004588946,0.1793259,0.000829933,0.003211994,0.0008828812,0.005287789],"study_design_scores_gemma":[0.001015737,0.0002783232,0.8892218,0.00002712161,0.00004179404,0.000003173218,0.002769321,0.0931004,0.0002976047,0.007073693,0.005954922,0.0002160435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821697,0.00001121739,0.1755651,0.0009978178,0.0000718326,0.0002239322,0.00001034768,0.00002522929,0.001397556],"genre_scores_gemma":[0.9926509,0.00001149144,0.006350995,0.0002222067,0.00001095884,0.00004754289,0.000004255054,0.00000611992,0.0006955253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1709539,"threshold_uncertainty_score":0.2045953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698136319469555,"score_gpt":0.2685262241695442,"score_spread":0.2415448609748487,"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."}}