{"id":"W6961742240","doi":"10.15468/dl.67jasr","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":[0.0009670965,0.001961681,0.00167171,0.0052333,0.001053371,0.002777,0.003053199,0.002033053,0.1691404],"category_scores_gemma":[0.005979758,0.0009665535,0.001241712,0.01073163,0.0004483233,0.002490735,0.002650254,0.001987094,0.2328676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167021,"about_ca_system_score_gemma":0.002510872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02643924,"about_ca_topic_score_gemma":0.04335994,"domain_scores_codex":[0.9989095,0.0001386668,0.000135837,0.0003875163,0.0002469235,0.0001815391],"domain_scores_gemma":[0.9976627,0.0006232273,0.0002114994,0.0006116837,0.0006188637,0.0002720974],"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":[0.00002534868,0.000009100329,0.000322673,0.0005137679,0.00001491107,0.00001275713,0.00002122179,0.0001090223,0.0001012139,0.0003747165,0.9971381,0.001357052],"study_design_scores_gemma":[0.00006064251,0.000006506975,0.001576241,0.0001802834,0.00001447856,0.00003199252,0.00006705341,0.0001283282,0.0001713128,0.0007265704,0.9970201,0.00001658884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003491345,0.00002810063,0.00004425304,0.00003222429,0.00001153179,0.000004574566,0.9988368,0.0003588397,0.0006487073],"genre_scores_gemma":[0.0001464927,0.0000340677,0.0001782113,0.00004216471,0.000003173598,0.00003460055,0.9989229,0.0001511289,0.0004872044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8308597,"threshold_uncertainty_score":0.5658309,"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."}}