{"id":"W7108782152","doi":"10.15468/dl.8e8dyc","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); Metadata","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":[0.001102505,0.001760391,0.00157384,0.005023957,0.0009765686,0.00261365,0.002753941,0.002021443,0.1679514],"category_scores_gemma":[0.006814163,0.0009020481,0.001085655,0.009572831,0.0004676012,0.002372848,0.002538546,0.002018088,0.2256237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693337,"about_ca_system_score_gemma":0.002433548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215173,"about_ca_topic_score_gemma":0.03474995,"domain_scores_codex":[0.9988849,0.0001513029,0.0001475846,0.0003874061,0.0002500199,0.000178818],"domain_scores_gemma":[0.9971111,0.0008152561,0.0002964211,0.0007469693,0.0007104388,0.0003198133],"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":[0.00002700993,0.00001009295,0.0003818695,0.0004878743,0.00001387467,0.00001203528,0.00002174278,0.0001158484,0.00009598399,0.0003672823,0.9971016,0.001364725],"study_design_scores_gemma":[0.0000691391,0.000007421218,0.001999359,0.0002017776,0.00001435003,0.0000319195,0.00007473474,0.000143686,0.0001734684,0.0007585086,0.9965085,0.00001700791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003184095,0.00002021307,0.00003635786,0.00003152256,0.00001002577,0.000004070837,0.9990937,0.0002717932,0.0005005234],"genre_scores_gemma":[0.0001556631,0.00002958211,0.00018281,0.00004269312,0.000003436141,0.00003690274,0.9989727,0.0001276788,0.0004486344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320486,"threshold_uncertainty_score":0.5618534,"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."}}