{"id":"W2519420549","doi":"10.1111/ajps.12270","title":"All in the Family: Partisan Disagreement and Electoral Mobilization in Intimate Networks—A Spillover Experiment","year":2016,"lang":"en","type":"article","venue":"American Journal of Political Science","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Spillover effect; Homogeneous; Mobilization; Turnout; Politics; Leverage (statistics); Causal inference; Interpersonal communication; Social mobilization; Context (archaeology); Survey data collection; Social psychology; Political science; Inference; Economics; Psychology; Econometrics; Microeconomics; Voting; Law; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005571003,0.00027944,0.0005309507,0.0003431783,0.001300319,0.000870452,0.0005223366,0.0007357993,0.009294891],"category_scores_gemma":[0.01336152,0.0002438721,0.0002533498,0.0002779512,0.001367466,0.0008451798,0.001774586,0.001212389,0.0005682148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004000569,"about_ca_system_score_gemma":0.000347762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121762,"about_ca_topic_score_gemma":0.001112541,"domain_scores_codex":[0.9967837,0.002530074,0.00006526265,0.0002939401,0.0001768614,0.0001502237],"domain_scores_gemma":[0.9803361,0.01346755,0.002227042,0.002628217,0.0002799976,0.001060941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1008971,0.1150237,0.440119,0.001410471,0.001814746,0.004641103,0.03519921,0.01545114,0.08467284,0.06314969,0.007534292,0.1300867],"study_design_scores_gemma":[0.01455962,0.1031908,0.6781418,0.0004496039,0.001795655,0.001772776,0.02717985,0.05579977,0.03738166,0.06319529,0.01623292,0.0003002162],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997086,0.00002097029,0.0006032847,0.0001187858,0.00001130796,0.00006239912,0.00005989202,0.000006199764,0.002031187],"genre_scores_gemma":[0.9985642,0.00002184948,0.0004239942,0.00008641884,0.00001291774,0.0001195296,0.00003822099,0.000002243932,0.0007305535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009294891,"threshold_uncertainty_score":0.03109455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311659062774315,"score_gpt":0.3861897858693162,"score_spread":0.343073195241573,"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."}}