{"id":"W6924675713","doi":"10.15468/dl.n3gv4p","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":[0.001033981,0.001992594,0.001569225,0.00506615,0.001025774,0.0026478,0.002755707,0.002104279,0.1679996],"category_scores_gemma":[0.006558872,0.0009350717,0.001261077,0.009343709,0.0004564414,0.002317813,0.002580559,0.002026502,0.2266059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579653,"about_ca_system_score_gemma":0.00238264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223029,"about_ca_topic_score_gemma":0.03450813,"domain_scores_codex":[0.9989712,0.0001456667,0.0001253948,0.0003643507,0.0002223113,0.0001710234],"domain_scores_gemma":[0.9972975,0.0008526,0.0002226813,0.000697139,0.0006339609,0.000296258],"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":[0.00002624636,0.00001136653,0.0003705207,0.0005057197,0.00001352257,0.00001489257,0.00002299206,0.0001179575,0.0001099866,0.0003345714,0.9971536,0.001318645],"study_design_scores_gemma":[0.00007757377,0.000009556968,0.001994727,0.0002180866,0.00001564228,0.00003950392,0.00008557033,0.0001728601,0.0001945267,0.0007999883,0.9963731,0.00001893825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004317365,0.00002712589,0.00004458037,0.00004154231,0.00001371262,0.00000616022,0.9987862,0.0004079201,0.000629615],"genre_scores_gemma":[0.0001716536,0.00003538926,0.0002042837,0.00005273473,0.000004119653,0.00005039729,0.998813,0.0001692599,0.0004991483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320004,"threshold_uncertainty_score":0.5620147,"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."}}