{"id":"W6962073611","doi":"10.15468/dl.heh3gw","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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009894412,0.001892561,0.001586114,0.005392738,0.0009475716,0.002565429,0.002775516,0.001888598,0.1553849],"category_scores_gemma":[0.005687039,0.0008785148,0.00118343,0.009727377,0.0004424259,0.002206263,0.002691755,0.00186817,0.2178912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478979,"about_ca_system_score_gemma":0.002255683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945195,"about_ca_topic_score_gemma":0.03186934,"domain_scores_codex":[0.9989238,0.0001387896,0.0001413848,0.0003626875,0.0002464951,0.0001868317],"domain_scores_gemma":[0.9976084,0.0005975269,0.0002348346,0.0006672178,0.0006053193,0.0002866416],"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":[0.00003221674,0.00001141771,0.0004011957,0.0005761891,0.00001654665,0.0000156465,0.00002341284,0.0001160685,0.000141025,0.0003837572,0.9966457,0.001636737],"study_design_scores_gemma":[0.00006562889,0.00000838393,0.001952687,0.0001880892,0.00001449361,0.00003850827,0.000065338,0.000126727,0.0002025451,0.0007100948,0.9966107,0.00001679982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004580672,0.00003012171,0.00004428779,0.00003286967,0.00001178283,0.000005460991,0.9987379,0.0004183288,0.0006734546],"genre_scores_gemma":[0.000161622,0.00003295019,0.0001774952,0.00004271417,0.000003371545,0.00003625001,0.9989707,0.0001432307,0.0004315742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8446151,"threshold_uncertainty_score":0.5198143,"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."}}