{"id":"W2065842283","doi":"10.1016/j.electstud.2009.02.003","title":"The federal election in Canada, October 2008","year":2009,"lang":"en","type":"article","venue":"Electoral Studies","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Salience (neuroscience); Racialization; Presidential election; Political science; White (mutation); Politics; National election; Presidential system; Affect (linguistics); General election; Gender studies; Social psychology; Sociology; Psychology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002305022,0.0003650911,0.0008830799,0.003170705,0.01628933,0.007026036,0.001532612,0.003091692,0.009013083],"category_scores_gemma":[0.008495539,0.0005147838,0.0004504212,0.00606164,0.001519764,0.001297957,0.001814548,0.004497108,0.00118152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1339057,"about_ca_system_score_gemma":0.1742902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972922,"about_ca_topic_score_gemma":0.9995717,"domain_scores_codex":[0.9960594,0.0001675409,0.00011009,0.0002151826,0.001336069,0.002111779],"domain_scores_gemma":[0.9939286,0.0002783875,0.0002504447,0.00008449547,0.003840478,0.001617612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004842913,0.0001898262,0.08958134,0.0002483064,0.0001150858,0.0003510837,0.005446098,0.0007032782,0.0001989695,0.01855053,0.8448814,0.03924971],"study_design_scores_gemma":[0.00006623118,0.00004018638,0.4286175,0.000200118,0.0000577046,0.0000651785,0.01181987,0.0004511136,0.0003395818,0.000712865,0.5575551,0.00007454018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.468723,0.01974509,0.0005268393,0.2443656,0.008657851,0.000381079,0.0616759,0.0002978952,0.1956268],"genre_scores_gemma":[0.6673461,0.004476033,0.0003959601,0.01161075,0.0008574012,0.0001083496,0.009946964,0.0001005707,0.3051578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1339057,"threshold_uncertainty_score":0.9715582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926785578757985,"score_gpt":0.3621778089110658,"score_spread":0.3129099531234859,"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."}}