{"id":"W6924642938","doi":"10.15468/dl.mqmtny","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); 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":[0.001156221,0.001942472,0.001670241,0.005407526,0.001075253,0.002852315,0.003002026,0.002023751,0.1848402],"category_scores_gemma":[0.006819852,0.001003857,0.001167546,0.0107509,0.0004543456,0.002530752,0.002711393,0.002084407,0.2462779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613197,"about_ca_system_score_gemma":0.002444246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091198,"about_ca_topic_score_gemma":0.03489881,"domain_scores_codex":[0.9988436,0.0001557971,0.0001565508,0.0004001051,0.0002597292,0.0001842959],"domain_scores_gemma":[0.9972243,0.0008090521,0.0002552156,0.0007051226,0.000696171,0.0003101745],"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":[0.00002637566,0.00000967343,0.0003223888,0.0005163576,0.00001410219,0.00001389616,0.00002301726,0.000103858,0.0001042848,0.0003812471,0.9971163,0.001368427],"study_design_scores_gemma":[0.00006072132,0.000006285256,0.001497627,0.0001863337,0.0000135603,0.00003309734,0.0000670891,0.0001168271,0.0001652528,0.0007369326,0.9970999,0.00001650294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003236162,0.00002326882,0.00004880417,0.0000320822,0.00001111214,0.000004898461,0.9988331,0.0003534087,0.000660976],"genre_scores_gemma":[0.0001381793,0.00003254731,0.000202867,0.00004228287,0.000003270835,0.00004199845,0.998886,0.0001739244,0.0004788159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8151598,"threshold_uncertainty_score":0.6183521,"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."}}