{"id":"W2141895619","doi":"10.1017/s1743923x11000079","title":"Gender Affinity Effects in Vote Choice in Westminster Systems: Assessing “Flexible” Voters in Canada","year":2011,"lang":"en","type":"article","venue":"Politics & Gender","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Queen's University","funders":"","keywords":"Representation (politics); Voting; Incentive; Politics; Consciousness; Political science; Proportional representation; Style (visual arts); Social psychology; General election; Psychology; Economics; Law; Microeconomics; Democracy; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0006733437,0.0002035971,0.0002920241,0.0003428294,0.0001401648,0.0001021261,0.0002748875,0.0001602917,0.00001847493],"category_scores_gemma":[0.0002161354,0.0002165955,0.00004454658,0.0004376209,0.0001105776,0.000304011,0.00006842181,0.0003409807,0.00000740558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036397,"about_ca_system_score_gemma":0.002955595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902506,"about_ca_topic_score_gemma":0.9664882,"domain_scores_codex":[0.9968727,0.0006247028,0.0004910396,0.0003810109,0.0005219773,0.00110854],"domain_scores_gemma":[0.9989767,0.0003134226,0.0001121098,0.0002615587,0.00007091807,0.0002652546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002630487,0.0001130855,0.9340637,0.0001533843,0.00001475102,0.00009639091,0.02460228,0.0002520889,0.00002392422,0.04043437,0.0001133652,0.0001300601],"study_design_scores_gemma":[0.0007035052,0.000007929127,0.9719634,0.00006286232,0.00001254655,0.000002604576,0.02006599,0.0005594867,0.0001111441,0.005592124,0.0006187762,0.000299628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342432,0.0002325586,0.0001536729,0.0001402047,0.001137959,0.0004470288,0.000009738023,0.00002520438,0.06361044],"genre_scores_gemma":[0.9987195,0.00001046961,0.0001683857,0.0005390563,0.0001836617,0.00003425471,0.000006191764,0.00002480111,0.0003136919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0644763,"threshold_uncertainty_score":0.8832507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071786993151206,"score_gpt":0.3383817038509225,"score_spread":0.2312030045358019,"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."}}