{"id":"W6905935268","doi":"10.15468/dl.q59k4p","title":"Occurrence Download","year":2023,"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); Alien; Species name","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":[0.001050771,0.001987556,0.001636838,0.004987123,0.001060272,0.002554806,0.002844518,0.002177195,0.1533712],"category_scores_gemma":[0.006371321,0.0009237407,0.001299348,0.009729675,0.0004729288,0.002285552,0.002579011,0.002073115,0.2179786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649946,"about_ca_system_score_gemma":0.002488006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245652,"about_ca_topic_score_gemma":0.03523931,"domain_scores_codex":[0.9988852,0.0001512056,0.0001386939,0.0003946286,0.0002480435,0.0001821811],"domain_scores_gemma":[0.9972832,0.0008063773,0.0002399887,0.0007208135,0.0006553187,0.0002942995],"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":[0.00003147158,0.00001240877,0.0003858677,0.0005832104,0.00001524683,0.00001589791,0.00002453172,0.0001241389,0.000135659,0.0003742193,0.9968473,0.001450084],"study_design_scores_gemma":[0.00007675694,0.000009693603,0.002028226,0.0002147293,0.00001599086,0.00004077911,0.00007988221,0.0001544093,0.0002163556,0.0007689462,0.9963753,0.00001890208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004598481,0.00002965895,0.00004441852,0.00003853466,0.00001308347,0.000005669845,0.9988128,0.0003909801,0.0006189033],"genre_scores_gemma":[0.0001614415,0.00003459938,0.0001932233,0.00004672679,0.000003484241,0.00004408379,0.9989177,0.0001434119,0.0004553259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466288,"threshold_uncertainty_score":0.5130779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}