{"id":"W6887002565","doi":"10.15468/dl.k6jryt","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); Column (typography); Order (exchange)","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":[0.001028537,0.002023231,0.001631817,0.005065958,0.0009396242,0.002662903,0.002893023,0.002005561,0.1620082],"category_scores_gemma":[0.005920687,0.0008995287,0.001220435,0.009620354,0.0004381122,0.00230034,0.00264533,0.001863015,0.2395677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589824,"about_ca_system_score_gemma":0.002309171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033543,"about_ca_topic_score_gemma":0.03251447,"domain_scores_codex":[0.9989012,0.0001561665,0.0001469319,0.000372945,0.0002372613,0.0001855025],"domain_scores_gemma":[0.9976115,0.0006188694,0.0002307157,0.0006525642,0.0006049665,0.0002814156],"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":[0.000031098,0.0000100819,0.0003152544,0.0005483127,0.00001566727,0.00001352753,0.00002090146,0.0001092288,0.0001137385,0.0003721267,0.9970456,0.001404611],"study_design_scores_gemma":[0.00006981209,0.000007854938,0.001613191,0.0001838867,0.00001414183,0.00003300131,0.00005729042,0.0001251999,0.0001902771,0.0007897453,0.9968985,0.00001703652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003757859,0.00003001649,0.00004087194,0.00003324694,0.00001098337,0.000005264434,0.998789,0.0003930308,0.0006599807],"genre_scores_gemma":[0.0001525421,0.00003356818,0.0001668969,0.00004803058,0.000003335163,0.00003659159,0.9989692,0.0001446212,0.0004452175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8379918,"threshold_uncertainty_score":0.5419713,"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."}}