{"id":"W6943219380","doi":"10.15468/dl.m3m4mc","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); Column (typography); Order (exchange)","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":[0.001015367,0.001956245,0.001675834,0.005251331,0.0009879401,0.002651891,0.002783601,0.002024821,0.1651732],"category_scores_gemma":[0.006026898,0.0009452997,0.001138694,0.01028022,0.0004518054,0.002407104,0.002655405,0.002002221,0.2250546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569098,"about_ca_system_score_gemma":0.002291484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984677,"about_ca_topic_score_gemma":0.0334566,"domain_scores_codex":[0.9989493,0.0001415988,0.0001342977,0.0003646334,0.0002374998,0.0001726678],"domain_scores_gemma":[0.9974758,0.0007118056,0.000241649,0.0006546681,0.0006154624,0.0003006376],"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":[0.00002946312,0.00001080339,0.0003525283,0.0005835651,0.00001471511,0.00001504856,0.0000238216,0.0001142029,0.0001210443,0.0003970835,0.9969594,0.001378414],"study_design_scores_gemma":[0.00007068148,0.000007333157,0.00172049,0.0001902983,0.00001340286,0.00003443381,0.00006751638,0.0001223286,0.000174164,0.0007509034,0.9968317,0.00001681858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003836135,0.00002708237,0.00004221359,0.00003354579,0.0000109726,0.000005068131,0.9988523,0.0003432168,0.0006471808],"genre_scores_gemma":[0.0001588982,0.00003517491,0.0001928909,0.00004521745,0.000003532778,0.00004268586,0.9988782,0.0001534871,0.0004898742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348268,"threshold_uncertainty_score":0.5525595,"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."}}