{"id":"W2936901363","doi":"10.4257/oeco.2019.2302.08","title":"DIVERSITY AND DISTRIBUTION OF ANURANS FROM MATA DAS FLORES STATE PARK, ESPÍRITO SANTO, SOUTHEASTERN BRAZIL","year":2019,"lang":"en","type":"article","venue":"Oecologia Australis","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto Chico Mendes de Conservação da Biodiversidade; Ministério da Ciência, Tecnologia, Inovações e Comunicações; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Foundation for Dietetic Research; Rufford Foundation","keywords":"Geography; Diversity (politics); Distribution (mathematics); Ecology; Zoology; Biology; Anthropology; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000985998,0.0001106657,0.00017752,0.00001059034,0.0001711331,0.000007471083,0.0001895139,0.0001170224,0.002847118],"category_scores_gemma":[0.00001250507,0.00008872928,0.00004064165,0.00005074888,0.0003414159,0.0001064368,0.0008473851,0.00008250849,0.0003224481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004635547,"about_ca_system_score_gemma":0.000004141458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003880987,"about_ca_topic_score_gemma":0.00110011,"domain_scores_codex":[0.9991663,0.00006336759,0.0001487269,0.0002893281,0.0001128197,0.0002195347],"domain_scores_gemma":[0.9995856,0.00005526567,0.00008856066,0.0001911128,0.000005149911,0.0000743622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004664975,0.00003375722,0.9903959,0.000006058297,0.00001437289,0.000004764551,0.0006848051,0.00004017363,0.007096692,0.00001193337,0.0009404179,0.0007244908],"study_design_scores_gemma":[0.0003270066,0.0001208275,0.9955058,0.000005539906,0.00001572361,0.000002158874,0.0002306142,0.00006118747,0.001846103,0.0002407565,0.001529884,0.000114435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984577,0.00001332837,0.00007873488,0.0001207194,0.0001654131,0.0001565463,0.0006039993,0.000020665,0.0003829154],"genre_scores_gemma":[0.9986666,0.0000234028,0.00006069655,0.00004775933,0.00001524998,0.000001467841,0.0001223745,0.00000407097,0.001058343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005250589,"threshold_uncertainty_score":0.9980644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186330006167079,"score_gpt":0.2344454203267415,"score_spread":0.2225821202650707,"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."}}