{"id":"W2885907203","doi":"10.1177/0010414018784062","title":"Social Networks and the Targeting of Vote Buying","year":2018,"lang":"en","type":"article","venue":"Comparative Political Studies","topic":"Politics and Society in Latin America","field":"Social Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Social and Economic Sciences; University of British Columbia; University of California, San Diego; National Science Foundation","keywords":"Reciprocity (cultural anthropology); Interpersonal ties; Politics; Survey data collection; Social network (sociolinguistics); Information transmission; Mechanism (biology); Political economy; Public relations; Social media; Political science; Sociology; Law; Computer science; Social science","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.000661917,0.00008485424,0.0003315351,0.000009464807,0.001616585,0.00002944696,0.00011968,0.00003918112,0.000009847718],"category_scores_gemma":[0.0006012213,0.00005563698,0.00007152696,0.0001298261,0.0128312,0.00004097115,0.0001320251,0.0001137903,0.000002901914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005008811,"about_ca_system_score_gemma":0.00003528117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006925711,"about_ca_topic_score_gemma":0.00008622387,"domain_scores_codex":[0.9986808,0.0003472965,0.0002033043,0.0001174402,0.000188605,0.0004625312],"domain_scores_gemma":[0.9980487,0.001462327,0.00007931986,0.00004995864,0.0002826936,0.00007703051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009084712,0.00000852173,0.0006229619,0.000003891241,0.00007956098,9.665868e-8,0.05820722,0.000001014058,0.000002292825,0.9387749,0.002201968,0.00008847051],"study_design_scores_gemma":[0.001670087,0.0001816144,0.008430153,0.00007145047,0.0001783003,6.582846e-7,0.4994822,0.005382891,0.0002080845,0.4213186,0.06258124,0.0004947387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.43906,0.007742672,0.002967215,0.03803233,0.0007098421,0.000616385,0.00001273313,0.00009989858,0.5107589],"genre_scores_gemma":[0.9977552,0.00008766635,0.0002026152,0.0006325011,0.001150857,0.000009230316,3.190684e-7,0.000003248175,0.0001584017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5586952,"threshold_uncertainty_score":0.9996832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347329145395344,"score_gpt":0.4600479054274119,"score_spread":0.3253149908878774,"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."}}