{"id":"W6943342478","doi":"10.15468/dl.zv2pjp","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":[0.001017494,0.001970183,0.001646468,0.005010748,0.00106119,0.002772009,0.002910141,0.002109961,0.1803488],"category_scores_gemma":[0.006233604,0.0009631384,0.001191703,0.009942899,0.0004553413,0.002764536,0.002748078,0.002137715,0.248483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601666,"about_ca_system_score_gemma":0.002326247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959098,"about_ca_topic_score_gemma":0.03470412,"domain_scores_codex":[0.9988708,0.0001641694,0.0001373877,0.0004121735,0.0002327488,0.0001826851],"domain_scores_gemma":[0.9973336,0.000755248,0.0002349663,0.0007242057,0.0006467318,0.0003051744],"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":[0.00002438321,0.000009917616,0.0002900703,0.000489921,0.00001253356,0.00001220884,0.00002051801,0.0000999923,0.000088471,0.0003617915,0.9974288,0.001161238],"study_design_scores_gemma":[0.00006402505,0.000007247758,0.001432149,0.0001779889,0.00001219696,0.0000306004,0.00006580046,0.0001241531,0.0001421124,0.0008096404,0.997118,0.00001603468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003553427,0.00002759874,0.00004387462,0.00003886835,0.00001266212,0.000005268518,0.9987748,0.0003581269,0.0007033127],"genre_scores_gemma":[0.0001482589,0.00003630403,0.0001921692,0.00005183823,0.000003913039,0.00004235136,0.998811,0.0001662869,0.0005477734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8196512,"threshold_uncertainty_score":0.6033267,"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."}}