{"id":"W6887178748","doi":"10.15468/dl.rgq9c5","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","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":[0.0009995964,0.001998898,0.001679869,0.005123996,0.001028728,0.002668144,0.002785337,0.002101123,0.1553168],"category_scores_gemma":[0.005913297,0.0009465191,0.001177809,0.009938282,0.000452345,0.002430657,0.002626725,0.002060462,0.2170704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571836,"about_ca_system_score_gemma":0.002371155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021189,"about_ca_topic_score_gemma":0.0369922,"domain_scores_codex":[0.9989282,0.0001474226,0.0001356152,0.0003802379,0.0002343541,0.0001740297],"domain_scores_gemma":[0.9974604,0.0007101581,0.0002378774,0.0006763099,0.0006124066,0.0003027805],"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":[0.00002973704,0.00001160446,0.0003741338,0.0005613741,0.00001482516,0.00001552656,0.00002465382,0.0001225391,0.0001188407,0.0003965919,0.9970325,0.001297665],"study_design_scores_gemma":[0.00007383114,0.000008076155,0.001860796,0.0001874087,0.00001359518,0.00003581327,0.00007260239,0.000140115,0.0001753542,0.0008053516,0.996609,0.00001809657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004020347,0.00002552763,0.00004274755,0.0000336629,0.00001114979,0.000005111025,0.9988697,0.0003535017,0.0006183427],"genre_scores_gemma":[0.0001573083,0.00003254987,0.0001959227,0.00004363696,0.000003388984,0.00004111579,0.9989039,0.0001458043,0.0004763613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8446832,"threshold_uncertainty_score":0.5195866,"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."}}