{"id":"W6905897630","doi":"10.15468/dl.k3t2tu","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); Confidentiality; State (computer science)","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":[0.001045348,0.001890718,0.00150693,0.005118338,0.001020413,0.002522387,0.002865153,0.002064772,0.1522169],"category_scores_gemma":[0.005819844,0.0008744415,0.001120473,0.009752434,0.000454278,0.002329778,0.002446029,0.002056086,0.2140525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572018,"about_ca_system_score_gemma":0.002223863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01895921,"about_ca_topic_score_gemma":0.03328136,"domain_scores_codex":[0.9989549,0.0001512362,0.0001312186,0.0003603092,0.0002308513,0.0001714151],"domain_scores_gemma":[0.9975187,0.0007163192,0.0002388258,0.0006527941,0.0005905034,0.0002829192],"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":[0.00002719458,0.0000121192,0.0003659989,0.0004732165,0.00001375889,0.00001411923,0.00002256149,0.0001207432,0.0001106732,0.0003782015,0.9970881,0.001373232],"study_design_scores_gemma":[0.00006777946,0.000008073608,0.001792565,0.0001805538,0.00001350856,0.00003693782,0.00007473952,0.0001486549,0.0001847962,0.0007790585,0.9966959,0.00001755562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004791449,0.00002811817,0.00005095692,0.00003774916,0.00001346262,0.000005567969,0.9987459,0.0003695455,0.0007007726],"genre_scores_gemma":[0.0001630221,0.00003059991,0.0002009256,0.00004237059,0.000003667017,0.00004302728,0.9988986,0.0001395127,0.0004782734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8477831,"threshold_uncertainty_score":0.5092162,"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."}}