{"id":"W6887122622","doi":"10.15468/dl.rew4ts","title":"Occurrence Download","year":2022,"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); Data set; Order (exchange)","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":[0.001013219,0.002130303,0.001693314,0.005845694,0.001072683,0.002815202,0.002914273,0.001983974,0.1812764],"category_scores_gemma":[0.006046774,0.001015695,0.001203747,0.01114181,0.000466331,0.002529706,0.002964369,0.002082753,0.2615551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677687,"about_ca_system_score_gemma":0.002623772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02618528,"about_ca_topic_score_gemma":0.0431546,"domain_scores_codex":[0.9988505,0.0001442658,0.0001443035,0.0003867248,0.0002706042,0.0002035832],"domain_scores_gemma":[0.9973405,0.0006699984,0.0002445059,0.0007022304,0.000711249,0.000331515],"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":[0.00002767738,0.000009376205,0.0002903037,0.0004910876,0.00001276749,0.00001262368,0.00002228098,0.00009037829,0.0001083609,0.0003459055,0.9973085,0.001280781],"study_design_scores_gemma":[0.00005893288,0.000006590254,0.001574812,0.0001735431,0.00001217551,0.00003099358,0.00006509244,0.00009941544,0.0001777484,0.00063403,0.9971504,0.00001625494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003360654,0.00002358266,0.00003961556,0.00002963609,0.00001040983,0.000004792927,0.9988086,0.000370478,0.000679143],"genre_scores_gemma":[0.0001281329,0.00003182824,0.000167053,0.00004099955,0.000003129066,0.00003442195,0.998948,0.0001656509,0.0004807067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8187236,"threshold_uncertainty_score":0.6064299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}