{"id":"W7105038467","doi":"10.15468/dl.gyr3bk","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); Range (aeronautics); Order (exchange); Data set","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":[0.0007417267,0.001679882,0.001320174,0.005005698,0.001056799,0.002621882,0.002600724,0.00184868,0.14827],"category_scores_gemma":[0.005333857,0.000804161,0.001101579,0.00993111,0.0003973836,0.002367184,0.00246255,0.001871424,0.2150624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631762,"about_ca_system_score_gemma":0.002355391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146228,"about_ca_topic_score_gemma":0.03691805,"domain_scores_codex":[0.9990086,0.000122539,0.0001300088,0.0003435344,0.0002251992,0.0001700867],"domain_scores_gemma":[0.997829,0.0005343324,0.0001937079,0.0005777808,0.0006198816,0.0002454079],"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":[0.00002782754,0.00001140446,0.0004772161,0.0004905671,0.00001252187,0.00001717381,0.0000251432,0.0001133222,0.0001161945,0.0004169639,0.9963431,0.001948517],"study_design_scores_gemma":[0.00004556692,0.000006777861,0.001761392,0.0001697359,0.00001052707,0.00003955975,0.00008861061,0.0001448571,0.0001789893,0.0006580019,0.9968815,0.00001452424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005945431,0.0000319271,0.00005464076,0.00004258098,0.00001426896,0.000005733622,0.9984518,0.0004363034,0.0009032293],"genre_scores_gemma":[0.0002023671,0.00003777769,0.0002356287,0.0000457561,0.000003908645,0.00003738966,0.9986737,0.0001414741,0.0006220563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.85173,"threshold_uncertainty_score":0.4960124,"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."}}