{"id":"W4411276381","doi":"10.33774/apsa-2025-s7p22","title":"Chatbot-Driven Voting Aid Applications Increase Knowledge about Party Positions but Do Not Change Party Evaluations","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Voting; Split-ticket voting; Computer science; Political science; Computer security; Law; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001026134,0.0003128487,0.0003749782,0.0002784917,0.001642765,0.0006262152,0.0006131328,0.0004350726,0.0006794407],"category_scores_gemma":[0.0001144475,0.0003392997,0.0002954268,0.0004985568,0.0002759753,0.0009047128,0.0002970676,0.000484874,0.0005830365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004085558,"about_ca_system_score_gemma":0.001116974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002623429,"about_ca_topic_score_gemma":0.008119375,"domain_scores_codex":[0.9976236,0.0002837408,0.0006715275,0.0005910798,0.0003330378,0.000497022],"domain_scores_gemma":[0.9981819,0.0003365838,0.0002684684,0.000477827,0.0004483204,0.0002869167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000164399,0.0005985419,0.001334171,0.0003307003,0.0001677293,7.047925e-7,0.02350746,0.0005346849,0.000002936285,0.837815,0.003376037,0.1323156],"study_design_scores_gemma":[0.0009132061,0.00004368821,0.004416447,0.001093353,0.0005795399,0.000001392761,0.007424005,0.009773054,0.0001133245,0.02954751,0.9445633,0.001531241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00339821,0.0005616662,0.02732569,0.00602911,0.0006752776,0.004099916,0.001531801,0.0005756385,0.9558027],"genre_scores_gemma":[0.9781381,0.0005656267,0.001722124,0.0007203966,0.0008203966,0.006107571,0.001406958,0.00001857648,0.01050028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9747398,"threshold_uncertainty_score":0.9999059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06216774143830359,"score_gpt":0.3559995906262717,"score_spread":0.2938318491879681,"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."}}