{"id":"W6905854780","doi":"10.15468/dl.n5dmb5","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); Popillia; Arrow","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":[0.0009917751,0.001877289,0.001622449,0.005026916,0.0009774454,0.002553859,0.002782753,0.00206269,0.1513468],"category_scores_gemma":[0.005776069,0.0009053309,0.001123662,0.009994977,0.0004502842,0.002212635,0.002463312,0.002004593,0.2073574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476773,"about_ca_system_score_gemma":0.00224028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01773882,"about_ca_topic_score_gemma":0.03056326,"domain_scores_codex":[0.9990007,0.00013658,0.0001286633,0.0003575222,0.0002137619,0.0001628529],"domain_scores_gemma":[0.9976374,0.000690471,0.0002370126,0.0006013035,0.0005623694,0.0002714113],"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":[0.00003116875,0.0000128182,0.0004446633,0.000623844,0.00001758613,0.00001593516,0.00002512796,0.0001544839,0.0001365888,0.0004128226,0.996613,0.001511931],"study_design_scores_gemma":[0.00008054846,0.000008696413,0.001978165,0.000211087,0.00001598478,0.0000374608,0.00007583589,0.0001588398,0.0001914982,0.0008396389,0.996384,0.00001834024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004085896,0.00002657701,0.00004006864,0.00003080419,0.00001080825,0.000004573201,0.9990301,0.0002842014,0.0005320142],"genre_scores_gemma":[0.0001672955,0.00003359505,0.0001971467,0.00004273839,0.000003481292,0.00004033771,0.9989729,0.0001206928,0.0004219039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486533,"threshold_uncertainty_score":0.5063053,"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."}}