{"id":"W7108819858","doi":"10.15468/dl.2626ep","title":"Occurrence Download","year":2025,"lang":"","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); Metadata","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":[0.001118322,0.001792473,0.001573965,0.004818347,0.001018173,0.002680972,0.002901757,0.002059766,0.1711446],"category_scores_gemma":[0.006783196,0.0009275436,0.001100932,0.009094245,0.0004619109,0.002482659,0.002580925,0.002113368,0.2335861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713383,"about_ca_system_score_gemma":0.002472848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227731,"about_ca_topic_score_gemma":0.03548639,"domain_scores_codex":[0.9989017,0.0001466534,0.0001421956,0.0003829517,0.0002490391,0.0001774783],"domain_scores_gemma":[0.9971548,0.0008072294,0.0002715987,0.0007437868,0.0006995965,0.0003229136],"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":[0.00002586853,0.000009876519,0.0003282212,0.0004516144,0.00001259615,0.0000118204,0.00002134602,0.000101544,0.00009338973,0.0003734084,0.9972861,0.001284218],"study_design_scores_gemma":[0.00006438429,0.000006762036,0.001732618,0.0001831039,0.00001280872,0.00002965458,0.00007035964,0.0001356885,0.0001716813,0.000763273,0.996813,0.00001667291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003163993,0.00001926214,0.00004128558,0.00003279225,0.00001046516,0.000004620527,0.9989574,0.0003281717,0.0005743371],"genre_scores_gemma":[0.0001499786,0.00002830469,0.0001942065,0.00004387027,0.000003355834,0.00003909479,0.9989197,0.0001490994,0.0004724127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288554,"threshold_uncertainty_score":0.5725358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}