{"id":"W6924823737","doi":"10.15468/dl.zhseaj","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); R package; The Internet","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001079858,0.0001704229,0.0002375699,0.0001318027,0.0008460358,0.0002170732,0.0005398732,0.0002815429,0.001248684],"category_scores_gemma":[0.0006884439,0.0001818401,0.0002088072,0.0009317757,0.0002928339,0.0006876741,0.0002248868,0.0002008318,0.4779927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000365397,"about_ca_system_score_gemma":0.0003754503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01230003,"about_ca_topic_score_gemma":0.0008258326,"domain_scores_codex":[0.9980885,0.0002700487,0.0003214921,0.0001889844,0.0008458294,0.0002850949],"domain_scores_gemma":[0.9988267,0.0001159647,0.0002553764,0.0002364708,0.0003866547,0.0001787808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009963115,0.00001526543,0.0003814596,0.00003196994,0.00003520994,0.000001387728,0.0002212273,0.00002402992,1.75057e-9,0.000001998531,0.9947621,0.004515367],"study_design_scores_gemma":[0.0001039254,0.000007779075,0.0001639924,0.000001490273,0.00005553787,2.304344e-7,0.0006655813,2.810002e-7,5.816859e-8,0.00002314915,0.9987871,0.0001908796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007576713,0.000009409795,0.00002357398,0.0005650085,0.0008144444,0.000185639,0.9976776,0.0001627827,0.0004858245],"genre_scores_gemma":[0.000003275072,0.0001089258,0.000004969784,0.0002693207,0.000005445098,0.000002707176,0.9996039,8.584062e-9,0.000001431563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.476744,"threshold_uncertainty_score":0.9996643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824399629464364,"score_gpt":0.310753986181779,"score_spread":0.2725099898871354,"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."}}