{"id":"W6924766118","doi":"10.15468/dl.wyc88k","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.001023106,0.002119754,0.001586942,0.004480819,0.001029592,0.002729055,0.002938093,0.002341063,0.1451518],"category_scores_gemma":[0.00624436,0.0008653818,0.001270065,0.009017556,0.0004489303,0.002303273,0.002363935,0.002231202,0.2398251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614177,"about_ca_system_score_gemma":0.002316758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017763,"about_ca_topic_score_gemma":0.03198786,"domain_scores_codex":[0.9989275,0.0001616511,0.0001301468,0.0003792244,0.0002345417,0.0001668596],"domain_scores_gemma":[0.9975033,0.0007303309,0.0002243599,0.0006557326,0.0006113193,0.0002749227],"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":[0.00002605037,0.00001179898,0.0003215247,0.0003948798,0.00001154807,0.00001270008,0.00001586107,0.0001181602,0.00006906639,0.0003197545,0.9975125,0.001186172],"study_design_scores_gemma":[0.00009479007,0.00001020024,0.001808231,0.0001989945,0.00001438837,0.00003780433,0.00006681289,0.0002302622,0.0001734358,0.0009861535,0.9963613,0.00001763579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000446329,0.00002931176,0.00004548873,0.00004628658,0.00001290059,0.000005958288,0.9988135,0.0003820915,0.0006198781],"genre_scores_gemma":[0.0001560381,0.00003500543,0.0001858504,0.0000518957,0.000004237727,0.00004798891,0.9988785,0.0001300829,0.0005104044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8548483,"threshold_uncertainty_score":0.485581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608210625581569,"score_gpt":0.190435537720495,"score_spread":0.1643534314646793,"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."}}