{"id":"W7008159535","doi":"","title":"Bang for Your Buck? Campaign Expenditures, Gender, and Election Outcomes in British Columbia Municipalities","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Campaign finance; Media coverage; General election; Point (geometry); Survey data collection; Politics; Accountability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199589,0.000187341,0.0004141278,0.001612884,0.004684179,0.00246253,0.001030948,0.000462017,0.006195362],"category_scores_gemma":[0.005243936,0.000227033,0.0002309128,0.003730163,0.0009923124,0.0005857649,0.001368049,0.0007834444,0.0007249491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02255017,"about_ca_system_score_gemma":0.01914448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886571,"about_ca_topic_score_gemma":0.9971389,"domain_scores_codex":[0.9986302,0.0002106695,0.00005252102,0.0001150094,0.0002341834,0.0007574616],"domain_scores_gemma":[0.9950577,0.0006756747,0.0008206884,0.0002237462,0.001559649,0.001662578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002089544,0.0001149164,0.957301,0.00006285607,0.00004184112,0.0002313419,0.009807408,0.0002967929,0.0002691882,0.001053476,0.00898867,0.02162367],"study_design_scores_gemma":[0.000004647412,0.00001692392,0.9766577,0.00006775543,0.00001555635,0.00001819919,0.0188079,0.0001715451,0.00006213563,0.00008501321,0.004074968,0.00001769059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904882,0.0003116794,0.00002314701,0.0008924961,0.000009431894,0.00001370863,0.0008617922,0.00000549665,0.007394038],"genre_scores_gemma":[0.9951186,0.0001853065,0.00002562167,0.00009911083,0.000004043211,0.00001122024,0.0003555917,0.000006476424,0.004193964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02255017,"threshold_uncertainty_score":0.1636137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475227694725784,"score_gpt":0.3757843930061402,"score_spread":0.2282616235335618,"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."}}