{"id":"W6924808035","doi":"10.15468/dl.taahes","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090609,0.001807661,0.001508123,0.005493402,0.001064836,0.002799822,0.002816644,0.001881535,0.1861723],"category_scores_gemma":[0.006507127,0.0009961345,0.001255036,0.01119741,0.0004302824,0.002536349,0.002822724,0.002024178,0.2429204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667762,"about_ca_system_score_gemma":0.002399474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852091,"about_ca_topic_score_gemma":0.03042059,"domain_scores_codex":[0.9989381,0.000128777,0.0001503404,0.0003644683,0.0002347886,0.0001834789],"domain_scores_gemma":[0.9975217,0.0006644023,0.000235442,0.0006511205,0.0006695749,0.0002576589],"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":[0.00003004696,0.00001058261,0.0004603463,0.0006314692,0.00001568078,0.00001669505,0.0000289936,0.0001236399,0.0001251895,0.0004271123,0.9961103,0.002020062],"study_design_scores_gemma":[0.0000497125,0.000006107163,0.00145924,0.0001721242,0.000011919,0.00003315425,0.00007337453,0.0001096229,0.0001544547,0.0006257858,0.9972906,0.00001391495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004011282,0.00002673979,0.00005292828,0.00003471571,0.00001355162,0.000005269265,0.9986792,0.0004035902,0.0007437356],"genre_scores_gemma":[0.0001709984,0.00004032105,0.0002694509,0.00004555126,0.000004114516,0.00004492878,0.9986404,0.0001920836,0.0005923093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8138278,"threshold_uncertainty_score":0.6228082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}