{"id":"W6924389945","doi":"10.15468/dl.x7j6ka","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":[0.000977147,0.001971856,0.001506149,0.004807683,0.001022483,0.002515931,0.002713768,0.002117955,0.1574451],"category_scores_gemma":[0.006110267,0.0008658985,0.001245693,0.008954735,0.0004596642,0.002337817,0.002563414,0.001939054,0.2241901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519053,"about_ca_system_score_gemma":0.00225552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166457,"about_ca_topic_score_gemma":0.03433508,"domain_scores_codex":[0.9989884,0.0001449368,0.0001258403,0.0003536948,0.0002193516,0.0001677104],"domain_scores_gemma":[0.9974458,0.0007422849,0.0002192779,0.0006838213,0.0006376973,0.0002711902],"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":[0.00002886503,0.00001243842,0.0004108964,0.0005079561,0.00001326423,0.00001564921,0.00002412228,0.0001336463,0.000109309,0.000338757,0.9969038,0.00150121],"study_design_scores_gemma":[0.00007345496,0.000009817448,0.001981069,0.0002026202,0.00001393665,0.00003877932,0.00008896073,0.0001867575,0.0001935441,0.0007966248,0.9963958,0.00001868704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005137973,0.00002926495,0.00004871517,0.00004402396,0.0000152076,0.000006462941,0.9986778,0.0004545368,0.0006726028],"genre_scores_gemma":[0.0001823691,0.00003427667,0.0002202596,0.00005024994,0.000004237294,0.00004741665,0.9988165,0.0001543855,0.0004902543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425549,"threshold_uncertainty_score":0.5267063,"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."}}