{"id":"W2889812796","doi":"10.1017/s0008423918000483","title":"Influences on the Number and Gender of Candidates in Canadian Local Elections","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"CONTEST; Prestige; Demographic economics; Contrast (vision); Political science; Period (music); Position (finance); Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001188591,0.0000446798,0.00007330101,0.0002587513,0.0006210304,0.00008708515,0.0002682661,0.00003890802,0.0001954906],"category_scores_gemma":[0.0009749359,0.00003109899,0.00001976941,0.0005433653,0.004337342,0.0001464265,0.000006483405,0.0001236663,0.000008596147],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005265634,"about_ca_system_score_gemma":0.009961778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9787045,"about_ca_topic_score_gemma":0.9901235,"domain_scores_codex":[0.9985893,0.00008289781,0.0001750276,0.00008733519,0.0002781289,0.000787359],"domain_scores_gemma":[0.9977978,0.000124039,0.00004621196,0.0000673232,0.0002904023,0.0016742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[5.84924e-7,0.000002411526,0.1700843,8.356456e-7,0.000001797428,0.000004909755,0.003163161,0.000002761137,0.00002630358,0.8264383,0.0001620857,0.0001125021],"study_design_scores_gemma":[0.00006706759,0.00004856381,0.9197453,0.0000175635,0.000005864013,0.00002347468,0.009280811,0.0001028914,0.0005368466,0.06768773,0.0024165,0.00006740128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437277,0.00001515787,0.00001642915,0.006494609,0.000212511,0.00004512787,0.000006502236,7.742634e-7,0.04948115],"genre_scores_gemma":[0.9990957,0.0000028015,0.00002412773,0.0006642462,0.0001424914,5.369092e-7,6.517021e-8,0.000001871855,0.00006813966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7587506,"threshold_uncertainty_score":0.9983723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362800801756511,"score_gpt":0.3480354981704425,"score_spread":0.3117554179947914,"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."}}