{"id":"W1975297478","doi":"10.4039/n04-040","title":"The importance and use of taxon sampling curves for comparative biodiversity research with forest arthropod assemblages","year":2005,"lang":"en","type":"article","venue":"The Canadian Entomologist","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Species richness; Rarefaction (ecology); Taxon; Sampling (signal processing); Biodiversity; Diversity index; Alpha diversity; Ecology; Species diversity; Rank abundance curve; Gamma diversity; Global biodiversity; Geography; Biology; Statistics; Species evenness; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006304684,0.00005789804,0.00008298022,0.00002044023,0.001267071,0.00002524039,0.0001528324,0.00002861546,0.00001839433],"category_scores_gemma":[0.0001238628,0.0000324993,0.00001371186,0.000112478,0.002306898,0.00008644613,0.00005899853,0.0001029944,0.000008896929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464612,"about_ca_system_score_gemma":0.00003636639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05192829,"about_ca_topic_score_gemma":0.9875746,"domain_scores_codex":[0.9993696,0.00008033991,0.00008288815,0.0001276416,0.0001008088,0.0002387069],"domain_scores_gemma":[0.9990351,0.0006736545,0.00005879031,0.0001344677,0.00003765454,0.00006034176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002483746,0.0000093334,0.988555,0.000005707912,0.00002428834,0.000001285149,0.0005013772,0.001310176,0.000008502975,0.002788344,0.006563027,0.0002081388],"study_design_scores_gemma":[0.0001389347,0.0001176313,0.9851508,0.00001103246,0.0000125672,0.000004170385,0.0006633076,0.0007550208,0.00004314826,0.0008240677,0.01221284,0.00006646565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878597,0.0004185559,0.0001073525,0.01045191,0.00001786783,0.0004029398,0.00004092273,0.000004850353,0.0006959515],"genre_scores_gemma":[0.9985629,0.0002727056,0.0005069221,0.0003201078,0.000006678919,0.00002442861,0.000006298557,0.000001670923,0.000298251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9356463,"threshold_uncertainty_score":0.9745417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653861240741727,"score_gpt":0.3468618315654708,"score_spread":0.1814757074912981,"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."}}