{"id":"W6962531033","doi":"10.15468/dl.yq5d7p","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":"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":[0.000892835,0.001825104,0.001546591,0.004895593,0.001051304,0.002921056,0.002695857,0.001851006,0.1959151],"category_scores_gemma":[0.006005702,0.0009097947,0.001335357,0.009788889,0.0004139818,0.002515643,0.002751041,0.001931542,0.2777171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144652,"about_ca_system_score_gemma":0.002339462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076883,"about_ca_topic_score_gemma":0.03317032,"domain_scores_codex":[0.9989736,0.0001246421,0.0001306929,0.0003647759,0.0002246953,0.0001816512],"domain_scores_gemma":[0.9975569,0.0006479768,0.000201571,0.0006745115,0.0006596551,0.0002593738],"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":[0.00002897436,0.000009413086,0.0004351287,0.0005200137,0.00001468808,0.00001664507,0.00002657245,0.0001236126,0.0001258899,0.0003958473,0.9963649,0.001938403],"study_design_scores_gemma":[0.00004992331,0.000006492534,0.001640535,0.0001564417,0.00001216747,0.00003436166,0.00007495548,0.0001549241,0.0001720515,0.0007568506,0.9969254,0.00001586368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004677715,0.00003034457,0.00006659104,0.00004216576,0.00001664643,0.000005810575,0.9982621,0.0006510683,0.0008784998],"genre_scores_gemma":[0.0001953702,0.00004167231,0.0002706449,0.0000537574,0.000004773548,0.00004378777,0.9984788,0.0002567128,0.000654474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8040849,"threshold_uncertainty_score":0.6554014,"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."}}