{"id":"W6905867527","doi":"10.15468/dl.kzhrqz","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.0009654537,0.00199111,0.001608648,0.005444956,0.001015309,0.002726618,0.002749214,0.002094789,0.1735767],"category_scores_gemma":[0.006238953,0.0008940746,0.001295939,0.01010971,0.000455917,0.002414413,0.002686825,0.00197877,0.2537842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582148,"about_ca_system_score_gemma":0.00239132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02290488,"about_ca_topic_score_gemma":0.0356016,"domain_scores_codex":[0.9989569,0.0001382991,0.000126613,0.0003710385,0.0002287751,0.0001783913],"domain_scores_gemma":[0.9973487,0.0007909134,0.0002329195,0.0006824911,0.0006507396,0.0002942419],"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":[0.00002574102,0.00001067314,0.0003684976,0.0005283813,0.00001330489,0.00001492173,0.00002358163,0.0001035661,0.0001049901,0.0003226756,0.9970823,0.001401421],"study_design_scores_gemma":[0.00006262785,0.000008519738,0.001908479,0.0002127825,0.0000146836,0.00003605821,0.00007923428,0.0001424869,0.0001809287,0.0007094459,0.9966273,0.00001735605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004045845,0.0000271629,0.00003907171,0.0000379681,0.00001263759,0.00000528136,0.9988003,0.0003990768,0.0006380383],"genre_scores_gemma":[0.0001568538,0.00003605943,0.0001846916,0.00004858647,0.000004068572,0.00004322372,0.9988407,0.0001663737,0.0005193989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8264233,"threshold_uncertainty_score":0.5806718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}