{"id":"W2158871915","doi":"10.1890/07-1526.1","title":"AN INCIDENCE-BASED RICHNESS ESTIMATOR FOR QUADRATS SAMPLED WITHOUT REPLACEMENT","year":2008,"lang":"en","type":"article","venue":"Ecology","topic":"Census and Population Estimation","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Council","keywords":"Quadrat; Species richness; Estimator; Statistics; Mathematics; Sampling (signal processing); Poisson distribution; Negative binomial distribution; Poisson sampling; Variance (accounting); Sampling design; Ecology; Econometrics; Biology; Computer science; Importance sampling; Slice sampling; Population; Filter (signal processing); Demography; Transect","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005893602,0.0003136296,0.0009212361,0.001607199,0.0002748663,0.0007092765,0.001721604,0.0006581199,0.0009688968],"category_scores_gemma":[0.02426232,0.0004806016,0.0007585873,0.001045729,0.0007070387,0.001868377,0.001325907,0.0009696965,0.0003669469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004581229,"about_ca_system_score_gemma":0.0004968226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008904519,"about_ca_topic_score_gemma":0.001316168,"domain_scores_codex":[0.9966623,0.001522362,0.0002561795,0.000512329,0.0009333813,0.0001135134],"domain_scores_gemma":[0.9842313,0.01051756,0.001997224,0.001778852,0.001281233,0.000193962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003557478,0.0003506923,0.1496939,0.0004500888,0.0005396195,0.0002310726,0.0005461939,0.1542715,0.02888416,0.03543806,0.001945831,0.6272931],"study_design_scores_gemma":[0.00006286243,0.0002720462,0.04740806,0.00007248924,0.0001386515,0.001050142,0.0001210923,0.9189808,0.009128232,0.01975935,0.00290259,0.0001037119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03203858,0.00007552774,0.9672325,0.00002386361,0.000008449808,0.00003688776,0.00008449152,0.0001772293,0.0003224495],"genre_scores_gemma":[0.4148274,0.0001761391,0.5832149,0.00004702845,0.00005020371,0.0001782676,0.0007569056,0.00005476267,0.000694479],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005893602,"threshold_uncertainty_score":0.0311687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08667446144113708,"score_gpt":0.374878874080984,"score_spread":0.2882044126398469,"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."}}