{"id":"W1662051607","doi":"10.24124/c677/2010152","title":"Electoral Bias in Quebec Since 1936","year":2010,"lang":"en","type":"article","venue":"Canadian Political Science Review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Gerrymandering; Redistribution (election); Political science; Political economy; Electoral geography; Phenomenon; Politics; Liberal Party; Electoral system; Electoral politics; Economics; Law; Democracy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001604128,0.0001463956,0.0003936611,0.002801537,0.003829755,0.002067329,0.00064313,0.0004379659,0.009506021],"category_scores_gemma":[0.005070144,0.0001395192,0.0002201311,0.006503631,0.0012049,0.0005545269,0.0006145979,0.0007619395,0.0004057316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05641358,"about_ca_system_score_gemma":0.02964651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99383,"about_ca_topic_score_gemma":0.9963415,"domain_scores_codex":[0.9988607,0.0001197442,0.00004339554,0.0001392774,0.0004369206,0.0004001097],"domain_scores_gemma":[0.9955906,0.0004508129,0.0004899458,0.0001328046,0.002843925,0.0004919631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005054842,0.0001009457,0.6454058,0.0007403252,0.0002846561,0.0006735571,0.01660216,0.001602551,0.001210291,0.03801486,0.06377019,0.2310892],"study_design_scores_gemma":[0.000009702159,0.0000287553,0.8818132,0.0001618381,0.00003068236,0.00007298867,0.001920682,0.0002282684,0.0001723928,0.0002299681,0.1153041,0.0000275121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83008,0.03199966,0.0004362307,0.01358003,0.0003775084,0.00009458624,0.008878796,0.00006139034,0.1144917],"genre_scores_gemma":[0.9791797,0.004463175,0.0001383374,0.0006485302,0.00004764091,0.00001158505,0.001012705,0.00001258872,0.01448574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05641358,"threshold_uncertainty_score":0.4093111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507565265431976,"score_gpt":0.3181670817863579,"score_spread":0.2830914291320382,"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."}}