{"id":"W6887355471","doi":"10.15468/dl.ymz9w3","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); Data set; Confidentiality","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":[0.0009884057,0.001980159,0.0016556,0.005067862,0.001001601,0.002611115,0.002873189,0.002024366,0.1715556],"category_scores_gemma":[0.005819789,0.0009395352,0.001121448,0.01008246,0.0004688352,0.002412844,0.002672669,0.002056724,0.2363651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529681,"about_ca_system_score_gemma":0.002277649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913735,"about_ca_topic_score_gemma":0.0338403,"domain_scores_codex":[0.9990152,0.0001348106,0.0001220752,0.0003505831,0.0002172912,0.0001600191],"domain_scores_gemma":[0.9976555,0.000667566,0.0002239417,0.0006080127,0.0005629393,0.0002820105],"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":[0.00002745509,0.00001124691,0.0003509713,0.0005551401,0.00001459403,0.00001480876,0.00002547452,0.0001227065,0.000121454,0.0003895761,0.9969618,0.001404841],"study_design_scores_gemma":[0.00006668396,0.000006750814,0.001562235,0.0001741405,0.00001260595,0.00003267541,0.00006931093,0.0001238012,0.0001750503,0.000780169,0.9969798,0.00001674882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003904726,0.00002553634,0.00004722719,0.00003202758,0.00001117276,0.000005027862,0.998822,0.0003511667,0.0006666977],"genre_scores_gemma":[0.0001604342,0.00003346252,0.0002143194,0.00004435918,0.000003450635,0.00004525691,0.9988331,0.0001656151,0.0004999552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284444,"threshold_uncertainty_score":0.5739105,"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."}}