{"id":"W6887275608","doi":"10.15468/dl.yj8caw","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":[0.0009958725,0.001854495,0.001442505,0.005119499,0.0008631101,0.002492261,0.002593618,0.00188187,0.1630991],"category_scores_gemma":[0.005754706,0.0008836775,0.001120904,0.009445984,0.0004201683,0.002107362,0.002407084,0.001798689,0.2119046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543876,"about_ca_system_score_gemma":0.002213594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988132,"about_ca_topic_score_gemma":0.03266011,"domain_scores_codex":[0.9989749,0.0001437218,0.0001402454,0.0003490757,0.0002193353,0.0001726347],"domain_scores_gemma":[0.9975758,0.0006659208,0.0002494775,0.0006374122,0.0005806354,0.0002906408],"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":[0.00003097423,0.00001045834,0.0003745145,0.0005581767,0.00001615025,0.00001442207,0.00002145187,0.0001232193,0.0001177868,0.0004012946,0.9969261,0.001405416],"study_design_scores_gemma":[0.00007323635,0.000008009946,0.001887742,0.0001895876,0.00001491744,0.00003582186,0.00005998357,0.0001313512,0.0001848632,0.0007687092,0.9966293,0.00001648674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000382506,0.00002504274,0.00003626246,0.00003160778,0.00001021736,0.000004780288,0.998946,0.0003077178,0.000600089],"genre_scores_gemma":[0.0001634703,0.00003149682,0.0001633087,0.00004580074,0.000003370164,0.0000353408,0.9989941,0.0001238454,0.0004393482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369009,"threshold_uncertainty_score":0.5456209,"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."}}