{"id":"W6906147809","doi":"10.15468/dl.pybqyr","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); Confidentiality; Software","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":[0.001116025,0.001969178,0.001673401,0.005334469,0.001063002,0.002894059,0.002939611,0.002065129,0.1774099],"category_scores_gemma":[0.006716529,0.001006318,0.001171689,0.01051641,0.0004636914,0.002516026,0.002711368,0.002085345,0.2400876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162368,"about_ca_system_score_gemma":0.002427077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206588,"about_ca_topic_score_gemma":0.03424285,"domain_scores_codex":[0.9988036,0.0001617675,0.0001566568,0.0004200639,0.0002676176,0.0001901981],"domain_scores_gemma":[0.9972627,0.000798377,0.0002572534,0.0007142856,0.0006557479,0.0003116305],"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":[0.00002723737,0.000009771456,0.000342004,0.0005096827,0.00001463499,0.00001414596,0.00002329416,0.000109811,0.0001059493,0.0004032839,0.9971166,0.001323652],"study_design_scores_gemma":[0.00006250696,0.000006559603,0.001597551,0.0001851241,0.00001364195,0.00003496789,0.00006779549,0.000128023,0.0001644184,0.0007591284,0.9969638,0.00001654039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003465295,0.0000250773,0.00004738642,0.00003339535,0.00001132823,0.000004466049,0.9988425,0.0003573695,0.0006438143],"genre_scores_gemma":[0.0001460014,0.00003344523,0.0001960309,0.00004308732,0.000003371238,0.00003799659,0.998897,0.000170762,0.0004723415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8225901,"threshold_uncertainty_score":0.5934952,"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."}}