{"id":"W6905808397","doi":"10.15468/dl.u8drrw","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009140313,0.002126281,0.001626789,0.005219918,0.0009892376,0.002610439,0.002837847,0.001920885,0.1685095],"category_scores_gemma":[0.005681337,0.001001117,0.001200583,0.0104206,0.0004204678,0.002390804,0.00260556,0.001952615,0.2354091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491977,"about_ca_system_score_gemma":0.0023379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956421,"about_ca_topic_score_gemma":0.03351798,"domain_scores_codex":[0.9989053,0.000142325,0.0001441664,0.0003918235,0.0002348615,0.0001815177],"domain_scores_gemma":[0.9974791,0.0006583097,0.0002406437,0.0006792398,0.0006480699,0.0002945357],"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":[0.00003411358,0.00001175117,0.0003562875,0.0005516413,0.00001506055,0.0000144754,0.00002054874,0.0001096915,0.0001300805,0.0003788829,0.9969255,0.001451977],"study_design_scores_gemma":[0.00007301813,0.000008625932,0.001704678,0.0001668602,0.00001406975,0.00003467813,0.00005602858,0.0001254294,0.0001860961,0.0007532836,0.9968592,0.00001808445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003776269,0.00002442928,0.00004015618,0.00002858023,0.00001082226,0.000004848268,0.9988486,0.0003598058,0.0006450437],"genre_scores_gemma":[0.0001358103,0.00003186409,0.0001844032,0.00004447853,0.000003412455,0.00003735856,0.9989372,0.0001465634,0.000478789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8314905,"threshold_uncertainty_score":0.5637206,"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."}}