{"id":"W7078904798","doi":"10.15468/dl.e2e72r","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Set (abstract data type); Range (aeronautics); Data set; Avena","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":[0.0009265305,0.002313796,0.001598764,0.005399269,0.0009961306,0.002505139,0.002887483,0.00194748,0.1433968],"category_scores_gemma":[0.005823592,0.0009453353,0.001312527,0.009827123,0.0004507478,0.002351487,0.002602518,0.001960229,0.2087934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583884,"about_ca_system_score_gemma":0.002462686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207818,"about_ca_topic_score_gemma":0.03671169,"domain_scores_codex":[0.9988604,0.0001467629,0.0001533921,0.0003937506,0.0002586851,0.0001870903],"domain_scores_gemma":[0.9974899,0.0006323474,0.0002306854,0.000657695,0.000686589,0.0003027956],"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":[0.00003441314,0.00001147851,0.0003178626,0.0004813051,0.00001454797,0.00001428767,0.00001748029,0.0001161857,0.0001199042,0.0003480227,0.9971896,0.001334826],"study_design_scores_gemma":[0.00008502321,0.000009904324,0.00167527,0.0001617358,0.00001475588,0.00004054097,0.00005494545,0.0001715903,0.000215202,0.0008064916,0.9967457,0.00001891878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004710857,0.00002953171,0.00004627167,0.00003519139,0.00001350851,0.000005849333,0.9986355,0.0005072925,0.0006797491],"genre_scores_gemma":[0.0001444894,0.00003329961,0.0001879277,0.00004483564,0.000003504338,0.00003331082,0.998968,0.0001551715,0.0004294864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8566032,"threshold_uncertainty_score":0.47971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}