{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003084648,0.002036759,0.002311951,0.006146505,0.00194795,0.005919792,0.005751778,0.002344659,0.4547244],"category_scores_gemma":[0.02059372,0.002763297,0.002009198,0.01104687,0.001055157,0.003463513,0.003857424,0.002916607,0.3553591],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01157685,"about_ca_system_score_gemma":0.02843953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6219462,"about_ca_topic_score_gemma":0.6315544,"domain_scores_codex":[0.9967995,0.0003646881,0.0002164379,0.0004880957,0.001569,0.0005623155],"domain_scores_gemma":[0.9845898,0.003395946,0.0006534908,0.002350989,0.007490227,0.001519622],"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":[0.00006420516,0.000009260363,0.0004712703,0.0001324435,0.00002367533,0.00003042287,0.00005361146,0.0002162622,0.0001017525,0.00180278,0.9894212,0.007672998],"study_design_scores_gemma":[0.0002269127,0.000007147303,0.002785127,0.0002012455,0.00003753736,0.00009964646,0.0001237633,0.005553632,0.00165314,0.00565693,0.9834778,0.0001771215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0006058206,0.0002745704,0.02038299,0.001372357,0.0002031797,0.0002164754,0.7036968,0.2222071,0.05104075],"genre_scores_gemma":[0.01881313,0.0007869752,0.05935477,0.002568387,0.0002117241,0.001626467,0.6586405,0.1564402,0.1015579],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9884232,"threshold_uncertainty_score":0.7777695,"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."}}