{"id":"W6962253885","doi":"10.15468/dl.pc6pz6","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); Set (abstract data type); State (computer science)","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":[0.0009434111,0.002011785,0.001601669,0.004662274,0.001002034,0.002388274,0.002847998,0.002067576,0.1516267],"category_scores_gemma":[0.005216081,0.000923779,0.001189834,0.009138422,0.0004559135,0.002142933,0.002614047,0.002033303,0.2181307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593028,"about_ca_system_score_gemma":0.002300913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167873,"about_ca_topic_score_gemma":0.03566344,"domain_scores_codex":[0.9990859,0.0001181462,0.0001163695,0.000309037,0.0002123833,0.0001582202],"domain_scores_gemma":[0.9979398,0.0005541043,0.0001947867,0.0005512768,0.0005102818,0.0002498829],"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":[0.00002994755,0.00001230864,0.000391272,0.0005634577,0.00001529628,0.00001746409,0.00002970532,0.0001323812,0.0001583499,0.000410347,0.996689,0.001550448],"study_design_scores_gemma":[0.00006723686,0.000007352863,0.001761183,0.0001832457,0.00001357319,0.00003907119,0.00007604496,0.0001452466,0.0002115372,0.0006788872,0.9967993,0.00001726698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004849491,0.00002765595,0.00005211658,0.00003434072,0.00001267572,0.000005832464,0.9986836,0.0004497319,0.0006854957],"genre_scores_gemma":[0.000163874,0.00003140981,0.0002224739,0.00004089999,0.000003094466,0.00004360097,0.9988876,0.0001695474,0.0004376296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8483733,"threshold_uncertainty_score":0.507242,"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."}}