{"id":"W6943629068","doi":"10.15468/dl.stdcvv","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); Alien; The Internet","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":[0.000984869,0.001856014,0.001528992,0.00504749,0.0009895792,0.002621972,0.002724771,0.001974266,0.1869187],"category_scores_gemma":[0.006217644,0.0008911403,0.001222673,0.009198481,0.0004469672,0.002357779,0.002653126,0.001961353,0.2461704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477549,"about_ca_system_score_gemma":0.002238748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042735,"about_ca_topic_score_gemma":0.03310188,"domain_scores_codex":[0.9990299,0.0001333304,0.0001178027,0.0003447773,0.0002108145,0.0001634646],"domain_scores_gemma":[0.9974425,0.0007727055,0.0002225905,0.0006614497,0.0006121153,0.0002886679],"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":[0.00002460661,0.00001073199,0.0003638499,0.0005054235,0.00001309484,0.0000140717,0.00002310653,0.000109343,0.000102212,0.0003267383,0.9971316,0.001375202],"study_design_scores_gemma":[0.00007048826,0.000008992371,0.001971295,0.0002179361,0.00001520703,0.00003801225,0.00008332339,0.0001559986,0.0001792914,0.0007934495,0.9964482,0.00001795269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004209491,0.00002708978,0.00004548082,0.00003978949,0.00001385194,0.000005877419,0.998777,0.0003970822,0.0006517546],"genre_scores_gemma":[0.00016793,0.00003601893,0.0002056457,0.00005225561,0.000004176637,0.00004892443,0.9987565,0.0001750854,0.0005534742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8130813,"threshold_uncertainty_score":0.6253055,"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."}}