{"id":"W6887251852","doi":"10.15468/dl.xpqgcq","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; Set (abstract data type)","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":[0.001170242,0.002052842,0.001714043,0.005171655,0.001071367,0.002840548,0.003065571,0.002195632,0.1673537],"category_scores_gemma":[0.006780651,0.001010183,0.001202159,0.009920945,0.0004809379,0.002497239,0.002724195,0.002127063,0.2390442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672143,"about_ca_system_score_gemma":0.002498815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131532,"about_ca_topic_score_gemma":0.03492908,"domain_scores_codex":[0.9987979,0.0001635446,0.0001585653,0.000419003,0.0002716065,0.0001893353],"domain_scores_gemma":[0.9972391,0.0007836325,0.0002606794,0.0007300107,0.0006674824,0.0003190574],"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":[0.00002765923,0.00001042973,0.0003243468,0.0005077626,0.00001438652,0.00001417417,0.00002272282,0.0001082442,0.0001106421,0.0003744689,0.9972439,0.001241454],"study_design_scores_gemma":[0.00006974889,0.000007357791,0.001624824,0.0001865922,0.00001385678,0.00003655223,0.0000669383,0.0001353448,0.0001797498,0.0007458667,0.9969158,0.00001744512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003433276,0.00002501531,0.00004459729,0.00003460201,0.00001140432,0.000004939113,0.9988772,0.000369609,0.0005982053],"genre_scores_gemma":[0.0001400502,0.00003066902,0.0001879162,0.00004300023,0.00000325322,0.00003965426,0.9989659,0.0001580778,0.0004314711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8326463,"threshold_uncertainty_score":0.5598539,"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."}}