{"id":"W3123639107","doi":"","title":"Statistical Inference for Richness Measures","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Inference; Econometrics; Statistics; Parametric statistics; Variance (accounting); Statistical inference; Sampling (signal processing); Mathematics; Earnings; Sample (material); Computer science; Economics; Artificial intelligence","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":[0.0009590052,0.0001100642,0.0002653028,0.0001385443,0.0001619617,0.0001353049,0.0002666131,0.00005931686,0.0006220871],"category_scores_gemma":[0.0003435625,0.0001042573,0.0001027013,0.0001406506,0.00003160799,0.0002691207,0.00002130978,0.0004931177,0.0007090309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257427,"about_ca_system_score_gemma":0.0002113539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000917209,"about_ca_topic_score_gemma":0.0005156776,"domain_scores_codex":[0.9981059,0.00001467875,0.0004104053,0.0002043105,0.00004499064,0.001219706],"domain_scores_gemma":[0.9993791,0.0001065632,0.0001977202,0.0001503786,0.00008007708,0.00008616521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001050705,0.0000358757,0.02823156,0.000004590901,0.0001523122,3.146606e-7,0.00003719413,0.00002622189,0.0000136881,0.9510657,0.0006839626,0.01973807],"study_design_scores_gemma":[0.0003534224,0.0001370257,0.009028558,0.000002936888,0.00001773225,0.00001714388,0.0001417145,0.001883808,0.000008458998,0.9780067,0.01023133,0.0001711507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0433544,0.002528892,0.9508638,0.0008722693,0.0002094178,0.0001723016,0.0001348848,0.00001901537,0.001845018],"genre_scores_gemma":[0.9963045,0.001441956,0.0007646142,0.000122537,0.0002182891,0.00003449883,0.00003449241,0.00001463075,0.00106449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9529501,"threshold_uncertainty_score":0.9113395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899017809189379,"score_gpt":0.2420253649731589,"score_spread":0.2130351868812651,"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."}}