{"id":"W6924696189","doi":"10.15468/dl.meqrrz","title":"Occurrence Download","year":2023,"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); Column (typography); 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":[0.0009212357,0.001920373,0.001499858,0.004527166,0.0009270139,0.002363347,0.002672368,0.00191662,0.1500884],"category_scores_gemma":[0.00546423,0.0009027477,0.001134137,0.009268202,0.0004357919,0.002154513,0.002423966,0.001972899,0.2058863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591495,"about_ca_system_score_gemma":0.002220062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374283,"about_ca_topic_score_gemma":0.03736928,"domain_scores_codex":[0.9990822,0.0001187082,0.0001156893,0.0003183204,0.0002074171,0.0001576941],"domain_scores_gemma":[0.9978467,0.00059925,0.0002062267,0.0005733841,0.0005135188,0.0002608131],"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":[0.00002851218,0.00001056498,0.0003755034,0.0004754635,0.00001403481,0.00001426831,0.00002387037,0.0001296128,0.0001220142,0.0003857634,0.9970436,0.00137681],"study_design_scores_gemma":[0.00007175586,0.000007629115,0.001903093,0.000173262,0.00001325292,0.00003754956,0.00007340862,0.0001649637,0.0001992477,0.0007365431,0.9966023,0.0000169432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004273491,0.0000230129,0.00004620023,0.00003307489,0.00001117015,0.000004920078,0.9988382,0.000395851,0.000604805],"genre_scores_gemma":[0.0001685351,0.00002954023,0.000197089,0.00004105974,0.000003008388,0.00003894141,0.9989483,0.0001590523,0.0004145426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499116,"threshold_uncertainty_score":0.5020959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}