{"id":"W6943872710","doi":"10.15468/dl.zusz2p","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":[0.0009843614,0.001907727,0.001557311,0.004687171,0.001019836,0.002668943,0.002802141,0.002089833,0.1640601],"category_scores_gemma":[0.006096374,0.0009238493,0.001207035,0.009077674,0.0004326732,0.002551769,0.002605566,0.002099867,0.2337262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645413,"about_ca_system_score_gemma":0.002340553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151256,"about_ca_topic_score_gemma":0.03520347,"domain_scores_codex":[0.9989593,0.0001492533,0.000128985,0.0003737347,0.0002232944,0.0001654303],"domain_scores_gemma":[0.9975014,0.0007183807,0.0002164606,0.0006610479,0.0006369446,0.0002657832],"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":[0.00002537065,0.00001105834,0.0003607115,0.0005145294,0.00001316076,0.00001380847,0.00002218128,0.0001172443,0.00009873539,0.0003640566,0.9970291,0.001429989],"study_design_scores_gemma":[0.00006560834,0.000008010726,0.001706833,0.000196383,0.00001300742,0.00003388781,0.00007477489,0.000156464,0.0001667509,0.0007986586,0.9967624,0.00001732075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003905593,0.00002791934,0.00004535729,0.00004175721,0.00001294411,0.000005787331,0.9987733,0.0003861165,0.0006677864],"genre_scores_gemma":[0.0001564698,0.00003672355,0.0002122938,0.00005282702,0.000003814396,0.00004837289,0.998805,0.0001513028,0.0005331393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359399,"threshold_uncertainty_score":0.5488358,"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."}}