{"id":"W6926238647","doi":"10.21953/lse.00004638","title":"Vying for votes: a comparison of off- and online election campaign strategies","year":2025,"lang":"en","type":"dissertation","venue":"London School of Economics and Political Science Theses Online (London School of Economics and Political Science)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Social media; Turnout; Parliament; Cohesion (chemistry); Politics; Ballot; Spillover effect; General election","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002616819,0.0002395943,0.0004230397,0.002633284,0.0005894029,0.003174811,0.000406321,0.0005510343,0.01005729],"category_scores_gemma":[0.01476982,0.0001917581,0.0004309408,0.002896008,0.0006882318,0.002269638,0.001509654,0.0005895355,0.002540757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005447232,"about_ca_system_score_gemma":0.0004290289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004527076,"about_ca_topic_score_gemma":0.008415317,"domain_scores_codex":[0.9977565,0.0009979899,0.0001744293,0.0002261793,0.0004649062,0.0003799216],"domain_scores_gemma":[0.9881656,0.007372395,0.002313721,0.0005735886,0.0009044014,0.0006702257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00161863,0.0006035678,0.8499127,0.0005952014,0.0004040056,0.0001687904,0.03058631,0.0007045146,0.001602104,0.004320261,0.005183627,0.1043002],"study_design_scores_gemma":[0.0000430371,0.0003549637,0.9612072,0.0001030853,0.00007917947,0.0000682524,0.02406486,0.0009732904,0.0004190599,0.0006807001,0.01197354,0.00003278986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827393,0.0003061993,0.0003506506,0.0001837789,0.00002613433,0.00005736806,0.001216464,0.00002140529,0.01509866],"genre_scores_gemma":[0.9935468,0.0002407387,0.0003861962,0.00008533957,0.00003944818,0.00009002005,0.001925736,0.00004557985,0.003640165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005729,"threshold_uncertainty_score":0.03364503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124234426148586,"score_gpt":0.3374238319704221,"score_spread":0.3061814877089363,"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."}}