{"id":"W6942919118","doi":"10.15468/dl.4qgxfp","title":"Occurrence Download","year":2025,"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); Listing (finance); Range (aeronautics); 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":[0.001003699,0.001947919,0.001619985,0.005447086,0.001061922,0.002821432,0.002891329,0.00205551,0.211377],"category_scores_gemma":[0.006273715,0.001040476,0.001121698,0.009988345,0.0004712471,0.002651853,0.002923931,0.002024587,0.2753953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002047997,"about_ca_system_score_gemma":0.002722904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686183,"about_ca_topic_score_gemma":0.04352976,"domain_scores_codex":[0.9990636,0.0001161468,0.000110297,0.0003136375,0.0002167998,0.0001795911],"domain_scores_gemma":[0.9977548,0.0005965444,0.0002029651,0.0005560352,0.0006166396,0.0002732194],"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":[0.00002601603,0.000008782801,0.0002780368,0.0005929217,0.00001258803,0.00001334606,0.00002417057,0.00008814196,0.0001092519,0.0004358638,0.9969742,0.001436782],"study_design_scores_gemma":[0.00005888591,0.000006229924,0.001452064,0.0002324771,0.0000120052,0.0000306232,0.00006616732,0.00009352532,0.0001624581,0.0007238641,0.9971465,0.00001510646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002633919,0.00002500334,0.00003666986,0.00003208508,0.000009788347,0.000004931851,0.998762,0.0003507428,0.0007523866],"genre_scores_gemma":[0.0001470972,0.0000430558,0.0002007697,0.00005455177,0.000003362948,0.00004371827,0.9987336,0.0001974967,0.0005763665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.788623,"threshold_uncertainty_score":0.7071266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}