{"id":"W6924692027","doi":"10.15468/dl.vg38d6","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009491927,0.001815101,0.001523347,0.004508883,0.0009824618,0.002862834,0.00259344,0.001934588,0.1712275],"category_scores_gemma":[0.006247869,0.0008287845,0.001318551,0.008578049,0.0003995921,0.002185248,0.002524168,0.001826854,0.2419731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489601,"about_ca_system_score_gemma":0.002448239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083909,"about_ca_topic_score_gemma":0.0329354,"domain_scores_codex":[0.9989968,0.0001340786,0.0001390138,0.0003555426,0.0002025573,0.0001720653],"domain_scores_gemma":[0.9977258,0.0006275715,0.0002008956,0.0005787953,0.0006080584,0.0002589473],"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":[0.00003377697,0.00001012643,0.0004971228,0.0005646516,0.00001635338,0.00001868377,0.00002477273,0.0001265395,0.0001133797,0.0003811216,0.9963715,0.001841881],"study_design_scores_gemma":[0.00006571431,0.000007404072,0.00180803,0.000187695,0.00001402971,0.00003900877,0.00007421714,0.0001600298,0.0001646735,0.0007724029,0.9966905,0.00001622509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004312018,0.00003310711,0.00005032762,0.00004540127,0.00001552427,0.000006250428,0.9985515,0.0004976319,0.0007569488],"genre_scores_gemma":[0.0001852387,0.00004502211,0.0002264658,0.00005836816,0.000004842064,0.00004342694,0.9986936,0.0001719532,0.0005710027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287725,"threshold_uncertainty_score":0.5728132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274038596838977,"score_gpt":0.2250706387923546,"score_spread":0.2123302528239648,"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."}}