{"id":"W4317368645","doi":"10.1093/oso/9780192894137.003.0015","title":"Appendix D Change in the role of socio-demographics","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Ordinary least squares; Variables; Econometrics; Statistics; Statistic; Variable (mathematics); Demography; Mathematics; Regression analysis; Representation (politics); Geography; Political science; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004840719,0.0004453061,0.0003309333,0.001316663,0.0004433579,0.0009868603,0.0006266446,0.0004538186,0.4720782],"category_scores_gemma":[0.006587999,0.0002350766,0.0003830715,0.002071792,0.0001507161,0.0006277697,0.0005420834,0.0007508901,0.1091603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354188,"about_ca_system_score_gemma":0.001005809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581467,"about_ca_topic_score_gemma":0.02310769,"domain_scores_codex":[0.9995598,0.00007517025,0.00002400897,0.00006771813,0.0002494847,0.00002377618],"domain_scores_gemma":[0.9956517,0.002551002,0.0001627858,0.0003025302,0.00124323,0.00008873768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002645198,0.00004120631,0.002008132,0.0002979035,0.000008979379,0.00005749831,0.0001242625,0.0006647565,0.00009191815,0.01490549,0.935136,0.0466375],"study_design_scores_gemma":[0.00004807016,0.00004001406,0.0246666,0.0002714891,0.00001108288,0.0001528404,0.0003727136,0.001324494,0.0005688943,0.01408323,0.9584396,0.00002090618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006800266,0.0007984471,0.01084287,0.003175491,0.001028332,0.0008254121,0.4280984,0.001524443,0.5469064],"genre_scores_gemma":[0.04581853,0.00148122,0.01802418,0.001060166,0.0002466572,0.001484697,0.1663414,0.0006836079,0.7648596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4720782,"threshold_uncertainty_score":0.7530164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07797559859925403,"score_gpt":0.3441592482698045,"score_spread":0.2661836496705505,"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."}}