{"id":"W6905583024","doi":"10.15468/dl.hqnsvq","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); 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":[0.0009535541,0.00207987,0.001597284,0.004818202,0.0010903,0.00257299,0.002955241,0.002091355,0.1498021],"category_scores_gemma":[0.006069371,0.0009199844,0.001334426,0.00935544,0.0004612076,0.002402953,0.002647066,0.002062271,0.2107744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716552,"about_ca_system_score_gemma":0.00248767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0284175,"about_ca_topic_score_gemma":0.04461411,"domain_scores_codex":[0.9989637,0.0001338024,0.0001284637,0.0003619825,0.0002420713,0.0001699391],"domain_scores_gemma":[0.9976615,0.0006541905,0.0001965412,0.00063336,0.0005930419,0.0002613577],"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":[0.00002833151,0.00001093633,0.0003553303,0.0004677893,0.000014472,0.0000153207,0.00002345123,0.0001249432,0.0001052639,0.0003666354,0.9970887,0.001398914],"study_design_scores_gemma":[0.00007238745,0.000008535538,0.001857628,0.0001899575,0.00001519873,0.00004293156,0.00008125206,0.0001911106,0.0001962286,0.000810714,0.9965158,0.00001830836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004722043,0.00003183442,0.00005396015,0.00004258726,0.00001352152,0.000005646641,0.9985924,0.0005355741,0.0006771837],"genre_scores_gemma":[0.0001596837,0.00003328368,0.0002027991,0.0000451602,0.000003283168,0.00003635305,0.9989196,0.000163503,0.0004363733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8501979,"threshold_uncertainty_score":0.501138,"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."}}