{"id":"W6943981084","doi":"10.15468/dl.uszbxn","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":[0.001017589,0.001998237,0.001632286,0.005475345,0.001007324,0.002638072,0.002859215,0.001994977,0.1645558],"category_scores_gemma":[0.006008011,0.0009396229,0.001181407,0.0108548,0.0004637036,0.002323363,0.002651439,0.001958347,0.2238242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623051,"about_ca_system_score_gemma":0.002499946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02467642,"about_ca_topic_score_gemma":0.03763558,"domain_scores_codex":[0.9989201,0.000143965,0.0001353543,0.0003750026,0.0002464229,0.0001792059],"domain_scores_gemma":[0.9976314,0.0006598488,0.0002243504,0.000619985,0.0005916858,0.0002727488],"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":[0.00002622263,0.000009573557,0.0003327008,0.0005251057,0.00001507846,0.00001364072,0.00002430077,0.0001167383,0.0001090704,0.0003932601,0.997038,0.001396437],"study_design_scores_gemma":[0.00006115476,0.000006569146,0.001636385,0.000180443,0.00001414915,0.00003355171,0.00006999122,0.0001188332,0.0001732737,0.0007003338,0.9969888,0.00001644022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003700674,0.00002963262,0.0000443427,0.00003353399,0.00001105799,0.000004642037,0.9988431,0.0003641034,0.0006326629],"genre_scores_gemma":[0.0001489505,0.00003514406,0.0001730059,0.00004025971,0.000003084299,0.0000358815,0.9989439,0.0001516084,0.0004681707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8354442,"threshold_uncertainty_score":0.5504941,"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."}}