{"id":"W4392114813","doi":"","title":"Diversity Measures and Coarse-graining in Data Analysis with an Application Involving Plant Species on the Galapagos Islands","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Diversity (politics); Granularity; Geography; Evolutionary biology; Biology; Computer science; Sociology","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":[0.002682464,0.0001735969,0.000464846,0.0003702468,0.000598567,0.0004744196,0.001970329,0.00006110356,0.0006018766],"category_scores_gemma":[0.001044094,0.0001133809,0.0000387045,0.0009019278,0.0001827716,0.0006472198,0.001305589,0.00043232,8.565034e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002000842,"about_ca_system_score_gemma":0.00003389696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006348809,"about_ca_topic_score_gemma":0.003346597,"domain_scores_codex":[0.9983282,0.0002433882,0.0003600144,0.0004006976,0.0004798163,0.0001878592],"domain_scores_gemma":[0.9961272,0.002267156,0.0004298812,0.0009270257,0.0001238137,0.0001249257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001714752,0.000345402,0.9147391,0.00004505368,0.0004138628,0.000008063332,0.001533963,0.00002546972,0.01939355,0.05077598,0.00312677,0.00942128],"study_design_scores_gemma":[0.0003462765,0.00001334321,0.8624962,0.0001106114,0.000515652,0.000005353178,0.0008753787,0.008681969,0.001609724,0.1241418,0.0008965232,0.000307113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442669,0.0002026956,0.05280902,0.0003089446,0.00003832634,0.0005204572,0.0003549984,0.00002332594,0.00147533],"genre_scores_gemma":[0.9813018,0.0003930379,0.01803653,0.00009184918,0.00005954483,0.00003354732,0.00004086429,0.00001700575,0.00002578421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07336586,"threshold_uncertainty_score":0.6590127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6006858872412847,"score_gpt":0.5892700320881054,"score_spread":0.01141585515317933,"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."}}