{"id":"W6887144799","doi":"10.15468/dl.qr6hxh","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Column (typography)","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":[0.001168422,0.002009047,0.001670024,0.00538045,0.001062983,0.002761201,0.003029767,0.002127348,0.1591084],"category_scores_gemma":[0.006680689,0.0009941463,0.001203487,0.01022618,0.0004824391,0.002437601,0.002637552,0.002104334,0.2272169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659178,"about_ca_system_score_gemma":0.002556724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215159,"about_ca_topic_score_gemma":0.03663164,"domain_scores_codex":[0.998795,0.0001635901,0.0001600029,0.0004190589,0.0002705938,0.0001915832],"domain_scores_gemma":[0.9971827,0.0008059885,0.0002664413,0.0007357986,0.0006886704,0.000320497],"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":[0.00002715728,0.0000108353,0.0003537511,0.0005095881,0.00001463229,0.00001430943,0.00002327852,0.0001137636,0.000112387,0.0003785448,0.9971611,0.001280582],"study_design_scores_gemma":[0.00006860095,0.000007533819,0.001745277,0.0001968278,0.00001446124,0.00003770839,0.00007322436,0.0001396649,0.0001837962,0.000744869,0.9967703,0.00001784095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003603304,0.00002507966,0.00004461388,0.00003440154,0.00001155076,0.000004856349,0.9989079,0.0003495333,0.0005858848],"genre_scores_gemma":[0.0001386559,0.00003103284,0.0001833215,0.00004043818,0.000003193271,0.00003802542,0.9990068,0.0001408922,0.0004176602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8408916,"threshold_uncertainty_score":0.5322706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}