{"id":"W6962537371","doi":"10.15468/dl.wddycd","title":"Occurrence Download","year":2021,"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":[0.0009457677,0.001993074,0.001719036,0.005822532,0.0008841951,0.002526608,0.002698232,0.001964999,0.1767945],"category_scores_gemma":[0.005848164,0.000933948,0.001086366,0.01128745,0.0004382168,0.002248723,0.002522716,0.001944789,0.2271893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594261,"about_ca_system_score_gemma":0.002262962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02111932,"about_ca_topic_score_gemma":0.03419809,"domain_scores_codex":[0.9989973,0.0001267793,0.0001348998,0.0003385144,0.0002304882,0.0001720162],"domain_scores_gemma":[0.9974113,0.0007265623,0.0002758133,0.0006540006,0.0006082194,0.0003240593],"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":[0.00003261475,0.00001184999,0.0004123734,0.0006181497,0.00001551363,0.00001634664,0.00002637794,0.0001308344,0.0001263165,0.0003710249,0.996696,0.001542574],"study_design_scores_gemma":[0.0000789632,0.000007980827,0.002209446,0.0001959262,0.00001417109,0.0000377494,0.00007793005,0.0001405678,0.0001831862,0.0006712675,0.9963653,0.00001745881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003794823,0.00002139541,0.00003304038,0.00002647686,0.000008460317,0.000004465746,0.999032,0.0002938452,0.000542351],"genre_scores_gemma":[0.0001535817,0.00002827633,0.0001733166,0.00003270064,0.000002896556,0.00003766822,0.9989892,0.0001302663,0.0004521978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8232055,"threshold_uncertainty_score":0.5914364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}