{"id":"W6962398843","doi":"10.15468/dl.ut8ahq","title":"Occurrence Download","year":2021,"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); State (computer science); Range (aeronautics); Field (mathematics)","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":[0.001120855,0.002139339,0.001859122,0.005779421,0.001217161,0.003451471,0.003242529,0.002334623,0.1904129],"category_scores_gemma":[0.007798347,0.001076391,0.001553399,0.01032964,0.0004411507,0.003376101,0.003271216,0.002316497,0.2902301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783789,"about_ca_system_score_gemma":0.002694861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026809,"about_ca_topic_score_gemma":0.03252031,"domain_scores_codex":[0.9986178,0.0001837478,0.0001965316,0.0004857092,0.0002989892,0.0002171412],"domain_scores_gemma":[0.9966965,0.0008976556,0.0002708537,0.000957708,0.0008499494,0.0003272798],"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":[0.00003686123,0.00001264703,0.0004401036,0.0005469369,0.00001649486,0.00001990856,0.0000269492,0.0001187811,0.0001065343,0.0004160212,0.9960814,0.002177385],"study_design_scores_gemma":[0.00005158106,0.000008612648,0.001474835,0.0001735101,0.00001337959,0.00003927641,0.00008260068,0.0001867285,0.0001763255,0.0008075455,0.9969686,0.00001717216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005140389,0.00003491165,0.0000739411,0.00005709319,0.00001975281,0.000008035502,0.9980209,0.000868849,0.0008652199],"genre_scores_gemma":[0.0001754644,0.000042902,0.0003003493,0.000067448,0.000005058812,0.00005030699,0.9984286,0.0002663629,0.0006634986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8095871,"threshold_uncertainty_score":0.6369946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}