{"id":"W6887342422","doi":"10.15468/dl.zzvrnx","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":[0.0009913996,0.001955508,0.001573106,0.004599283,0.001004604,0.002518712,0.002706546,0.002099127,0.1522612],"category_scores_gemma":[0.005970288,0.0009147588,0.001271949,0.008932456,0.000450413,0.002327544,0.00254592,0.00198739,0.216293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488519,"about_ca_system_score_gemma":0.002255388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.020712,"about_ca_topic_score_gemma":0.03375559,"domain_scores_codex":[0.9989869,0.000142332,0.0001281489,0.0003585561,0.0002187786,0.0001653068],"domain_scores_gemma":[0.9974625,0.0007431143,0.0002268174,0.0006891186,0.0005888065,0.0002895367],"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":[0.00002835089,0.00001205473,0.0003891284,0.0005147084,0.00001423369,0.00001485321,0.00002286185,0.0001264497,0.000113544,0.0003256942,0.9970803,0.001357795],"study_design_scores_gemma":[0.00008246367,0.0000103713,0.002161077,0.0002060683,0.0000156014,0.00004142293,0.00008110116,0.0001842385,0.0002005203,0.0007646219,0.9962333,0.00001920197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004937099,0.00002937505,0.00004568714,0.00004164959,0.00001446651,0.000006174791,0.9987779,0.0004248527,0.00061043],"genre_scores_gemma":[0.0001717414,0.0000352183,0.0001994615,0.00005118908,0.000004053205,0.00004722249,0.9988713,0.0001478087,0.0004719667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8477388,"threshold_uncertainty_score":0.5093645,"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."}}