{"id":"W6924495496","doi":"10.15468/dl.kyd5ty","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001091555,0.00199609,0.001637658,0.005244468,0.001010802,0.002705177,0.002925686,0.002038432,0.1638377],"category_scores_gemma":[0.006397219,0.0009702885,0.001154923,0.01036237,0.0004520736,0.002435537,0.002578856,0.001986619,0.2338376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638827,"about_ca_system_score_gemma":0.002383989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216468,"about_ca_topic_score_gemma":0.03514966,"domain_scores_codex":[0.9988524,0.0001537517,0.0001542915,0.0003965613,0.0002596111,0.0001834294],"domain_scores_gemma":[0.9973279,0.0007592835,0.0002504555,0.0007133316,0.0006435524,0.0003054143],"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":[0.00002713901,0.00001052352,0.0003510394,0.0004871371,0.00001417883,0.00001437139,0.00002205469,0.0001171523,0.0001058063,0.0003573901,0.9971836,0.001309491],"study_design_scores_gemma":[0.00006807663,0.000007663502,0.001813671,0.000184784,0.00001408298,0.00003825986,0.00007333052,0.0001533465,0.0001902439,0.0007427962,0.9966961,0.00001760152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003570733,0.00002320199,0.0000419728,0.00003222835,0.00001065428,0.000004582658,0.9989226,0.0003554903,0.0005735144],"genre_scores_gemma":[0.0001379391,0.00002896192,0.0001741598,0.0000378597,0.000003018676,0.00003447757,0.9990451,0.0001418132,0.0003967755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361623,"threshold_uncertainty_score":0.5480918,"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."}}