{"id":"W6913067328","doi":"10.5683/sp2/bcdcrl","title":"Replication Data for: Ferris, J.S. and M-C. Voia, Elections, Economic Outcomes and Policy Choices in Canada: 1870 - 2015","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Replication (statistics); Data file; Economic data; Data access; Longitudinal data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004306822,0.0004165126,0.00068272,0.0004065424,0.000130333,0.0001562328,0.0009279471,0.0002091307,0.000008262824],"category_scores_gemma":[0.001086012,0.0004422438,0.00002828702,0.0001919024,0.00007484818,0.0003718327,0.0005177899,0.0003024151,0.00002223976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758367,"about_ca_system_score_gemma":0.004345742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995966,"about_ca_topic_score_gemma":0.9999289,"domain_scores_codex":[0.9973966,0.00008785892,0.0006007954,0.001323129,0.0001856139,0.0004059536],"domain_scores_gemma":[0.9959069,0.0002111161,0.0004791736,0.003106705,0.00004003549,0.0002560538],"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":[0.00003355666,0.00001291971,0.005129622,0.0001044314,0.00009980414,0.000003050135,0.000007403032,0.000001989058,0.000001142395,0.00004097225,0.9941286,0.0004364436],"study_design_scores_gemma":[0.0005780993,0.00002055668,0.06575205,0.00002386854,0.0001359106,0.00001408958,0.00002291502,0.0001591005,0.000002901054,0.00006673695,0.9328454,0.0003784344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001012825,0.0009540927,8.456352e-7,0.002792135,0.00006796535,0.0008408024,0.9951626,0.00004333802,0.00003694191],"genre_scores_gemma":[0.00006375086,0.002091419,0.00007496305,0.0006491761,0.0003650401,0.0001913261,0.9964511,0.00008470748,0.00002851249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06128333,"threshold_uncertainty_score":0.9998029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237091578136728,"score_gpt":0.3331256299206891,"score_spread":0.2907547141393219,"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."}}