{"id":"W6906220802","doi":"10.15468/dl.ycyxjx","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; Barcode; Matching (statistics); Biodiversity; Range (aeronautics); Genomics","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":[0.0009978585,0.001917491,0.001705792,0.005759938,0.001086514,0.003015104,0.00284693,0.002003895,0.2259126],"category_scores_gemma":[0.006719615,0.001068578,0.001339975,0.01097693,0.0004441381,0.0028975,0.003109564,0.002034445,0.2826156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626376,"about_ca_system_score_gemma":0.002309303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849069,"about_ca_topic_score_gemma":0.03025932,"domain_scores_codex":[0.9988795,0.0001384227,0.0001600705,0.0003934467,0.0002378558,0.000190669],"domain_scores_gemma":[0.9974588,0.0007366971,0.0002283325,0.0006391176,0.0006469263,0.0002901946],"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":[0.00003332234,0.000009861486,0.0003672729,0.000779181,0.00001598308,0.00001661737,0.00003027317,0.000112582,0.0001262527,0.0004353296,0.9960083,0.002064964],"study_design_scores_gemma":[0.00005975975,0.000007013603,0.001376441,0.000224034,0.00001264819,0.00003413413,0.00007679615,0.0001136655,0.000146113,0.0006971625,0.997236,0.00001638639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003290764,0.0000259327,0.00005198753,0.00003161065,0.00001226458,0.000005630225,0.9987307,0.0004006326,0.0007081921],"genre_scores_gemma":[0.0001548605,0.00004508065,0.0002771077,0.00004833063,0.000004224698,0.00005189676,0.9986073,0.0002296383,0.0005815042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7740874,"threshold_uncertainty_score":0.7557531,"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."}}