{"id":"W2991597529","doi":"10.6084/m9.figshare.10544735.v1","title":"statcanR: Client for Statistics Canada's Open Economic Data","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Computer science; Statistics; Data science; Geography; Regional science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006466952,0.0000724999,0.0001222545,0.0000122679,0.00004681512,0.0000663848,0.000455307,0.0000260782,0.09273753],"category_scores_gemma":[0.0005203862,0.00007241975,0.000008413486,0.00001867132,8.714252e-7,0.0001390296,0.0002499383,0.00003495171,0.000403628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298871,"about_ca_system_score_gemma":0.0004811002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01982264,"about_ca_topic_score_gemma":0.3504495,"domain_scores_codex":[0.9994072,0.00001051816,0.0001933155,0.0001818467,0.00007936735,0.0001277023],"domain_scores_gemma":[0.998888,0.0003501271,0.0001401116,0.0005181488,0.00005619746,0.00004740968],"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":[0.000005614094,0.000006864859,0.0001394263,0.0001439268,0.000007839338,3.951514e-7,0.00001662994,0.0001178715,3.202119e-7,0.00519082,0.9926217,0.001748577],"study_design_scores_gemma":[0.0003738545,0.00001866943,0.002258005,0.0001394616,0.000008996391,0.000001132064,0.00001724349,0.06261799,0.0000119179,0.004643448,0.9297695,0.0001398251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008325937,0.000007317769,0.0001844966,0.0001112903,0.0001380919,0.0008605222,0.996307,0.00001505348,0.001543661],"genre_scores_gemma":[0.03374532,4.684417e-7,0.02007058,0.0002152111,0.00008935732,0.00009647927,0.9437702,0.00003126775,0.001981057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3306268,"threshold_uncertainty_score":0.9867045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306945875568641,"score_gpt":0.3977432803592994,"score_spread":0.1670486928024353,"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."}}