{"id":"W6924632709","doi":"10.15468/dl.mu5xwa","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); Alien; 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":[0.0009719312,0.001984868,0.001566706,0.004891919,0.00101699,0.002675145,0.002802097,0.002147082,0.1692867],"category_scores_gemma":[0.006697998,0.0008945559,0.001290835,0.008674665,0.0004350224,0.002613703,0.00261063,0.001969836,0.2267142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590291,"about_ca_system_score_gemma":0.002231837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093896,"about_ca_topic_score_gemma":0.03359557,"domain_scores_codex":[0.9989837,0.0001431835,0.0001250172,0.0003638839,0.0002197501,0.0001644945],"domain_scores_gemma":[0.9974273,0.000787619,0.0002133601,0.0006708608,0.0006262394,0.0002745894],"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":[0.00002857863,0.00001151891,0.0003800782,0.0005212533,0.00001374198,0.00001535619,0.00002145992,0.0001199727,0.00009802468,0.000328823,0.9970463,0.001414825],"study_design_scores_gemma":[0.00007850293,0.000009740686,0.001981164,0.0002214031,0.00001549296,0.00004125215,0.00008267976,0.0002015248,0.0001915139,0.0008838385,0.9962733,0.00001971113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004490936,0.00002955227,0.00004757368,0.00004560145,0.00001423594,0.000006397878,0.9986963,0.0004729863,0.0006424588],"genre_scores_gemma":[0.0001823377,0.00003641343,0.0002178525,0.00005505227,0.000004388089,0.00005001726,0.9987836,0.000169098,0.0005011148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307133,"threshold_uncertainty_score":0.5663205,"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."}}