{"id":"W7111095796","doi":"10.15468/dl.g3w5n3","title":"Occurrence Download","year":2025,"lang":"","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); Listing (finance); Range (aeronautics); 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":[],"consensus_categories":[],"category_scores_codex":[0.001017316,0.001727047,0.001510016,0.006025218,0.0009581905,0.002718105,0.002535796,0.001718147,0.1894136],"category_scores_gemma":[0.006472237,0.0008647191,0.001009401,0.01046943,0.0004619968,0.002375196,0.002804527,0.001747508,0.2327684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177425,"about_ca_system_score_gemma":0.002685098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02635432,"about_ca_topic_score_gemma":0.04369213,"domain_scores_codex":[0.9990381,0.0001165406,0.0001219426,0.0003215938,0.0002222688,0.0001796187],"domain_scores_gemma":[0.9973284,0.0007071745,0.0002819831,0.0006522546,0.0006884452,0.0003417019],"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":[0.000024248,0.000007474898,0.0003394404,0.0005510741,0.0000119916,0.00001221694,0.00002229395,0.00008257464,0.0000863477,0.0003790451,0.9970773,0.001405935],"study_design_scores_gemma":[0.00005376916,0.000005712139,0.001785355,0.0002239239,0.00001238388,0.00002880222,0.00006775618,0.0000926694,0.0001503274,0.0006585269,0.9969065,0.00001428672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002627986,0.00002009905,0.00002764221,0.00002567753,0.000008959522,0.000004076748,0.9990388,0.0002445807,0.0006038981],"genre_scores_gemma":[0.0001573903,0.00003623586,0.000167315,0.00004598864,0.000003832567,0.00003910039,0.9988561,0.0001491646,0.0005448928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1894136,"threshold_uncertainty_score":0.6336516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}