{"id":"W6887356292","doi":"10.15468/dl.ywpskm","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; Set (abstract data type)","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":[0.0009854669,0.00202622,0.001649999,0.005562097,0.0009749667,0.002584132,0.002796559,0.002054452,0.1537029],"category_scores_gemma":[0.005676463,0.0009035561,0.001194395,0.01055508,0.000453122,0.00225994,0.002693548,0.001922838,0.2210369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439236,"about_ca_system_score_gemma":0.002241003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01776811,"about_ca_topic_score_gemma":0.02968476,"domain_scores_codex":[0.9989238,0.0001426758,0.0001405423,0.0003636666,0.0002483594,0.0001808996],"domain_scores_gemma":[0.9976077,0.000635939,0.0002361649,0.0006486683,0.000587429,0.0002840608],"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":[0.0000337455,0.00001196386,0.0003635076,0.0006300955,0.00001693938,0.00001599943,0.00002355131,0.0001211868,0.0001613051,0.0003815579,0.9966505,0.00158966],"study_design_scores_gemma":[0.00007156335,0.00000889708,0.001882982,0.0002018178,0.00001544474,0.00004024095,0.00006589109,0.000123728,0.0002197116,0.000692511,0.9966593,0.00001776355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004411541,0.00003279445,0.00004341689,0.00003313786,0.00001163541,0.000005362065,0.9988167,0.0003820664,0.0006306322],"genre_scores_gemma":[0.0001508874,0.00003591796,0.0001712482,0.00004341406,0.000003386546,0.00003714481,0.9990041,0.000136078,0.0004178439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8462971,"threshold_uncertainty_score":0.5141873,"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."}}