{"id":"W6887337260","doi":"10.15468/dl.yj6dwu","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); Range (aeronautics); Download; Tree (set theory); Set (abstract data type)","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":[0.0009843389,0.002118451,0.001635642,0.005073168,0.0009943438,0.002690886,0.002818487,0.001913822,0.1715828],"category_scores_gemma":[0.005885673,0.0009891641,0.001244141,0.01008576,0.0004257036,0.002448909,0.002691305,0.001967373,0.2386097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521404,"about_ca_system_score_gemma":0.002404886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993819,"about_ca_topic_score_gemma":0.0341197,"domain_scores_codex":[0.9988607,0.0001573699,0.0001523171,0.0004037546,0.0002405297,0.0001853784],"domain_scores_gemma":[0.9974352,0.0006767145,0.0002406294,0.0006870215,0.0006639495,0.0002965486],"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":[0.00003374069,0.00001109799,0.0003282942,0.0005324406,0.00001498394,0.00001334103,0.00001992224,0.000107227,0.0001192587,0.0003753527,0.997059,0.001385365],"study_design_scores_gemma":[0.00007047322,0.000008338856,0.001551959,0.0001593747,0.00001377468,0.00003151286,0.00005361065,0.0001174829,0.0001745747,0.0007682348,0.9970331,0.00001741263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003450685,0.00002424748,0.00003988636,0.00003102498,0.0000111868,0.000004930428,0.9988795,0.0003378195,0.000636883],"genre_scores_gemma":[0.0001361259,0.00003400735,0.0001890565,0.00005059219,0.000003686732,0.00004011924,0.9988704,0.0001503559,0.0005256232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284172,"threshold_uncertainty_score":0.5740016,"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."}}