{"id":"W6943455154","doi":"10.15468/dl.m7ctvz","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":[0.001002592,0.001924952,0.001598038,0.005041602,0.0009786092,0.002624823,0.002761641,0.002075983,0.1600514],"category_scores_gemma":[0.006131312,0.0009115292,0.001112529,0.00979754,0.0004361967,0.00233377,0.002553827,0.002005506,0.2216074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508653,"about_ca_system_score_gemma":0.00225511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866236,"about_ca_topic_score_gemma":0.03141617,"domain_scores_codex":[0.9989692,0.0001432484,0.00013261,0.0003619286,0.0002298213,0.0001631683],"domain_scores_gemma":[0.9974669,0.0007457021,0.0002380553,0.0006455943,0.0005995478,0.0003041993],"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":[0.00003085863,0.00001218559,0.0003866657,0.0005806035,0.00001553142,0.00001605588,0.0000239986,0.0001254477,0.0001206002,0.0003784078,0.9969376,0.001372034],"study_design_scores_gemma":[0.00008294101,0.000008687001,0.001933424,0.0001957962,0.00001501704,0.00003929793,0.0000746162,0.0001531519,0.0001888232,0.0008234676,0.9964663,0.00001861011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004151768,0.00002632925,0.00004265126,0.00003427886,0.00001070328,0.000005113942,0.998911,0.0003400923,0.0005882554],"genre_scores_gemma":[0.0001648758,0.00003282401,0.00018853,0.00004456592,0.000003369597,0.00004239366,0.9989347,0.0001383533,0.000450353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8399486,"threshold_uncertainty_score":0.5354252,"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."}}