{"id":"W2983068813","doi":"10.1093/oxfordhb/9780190860806.013.20","title":"Social Network Effects in Developing Countries","year":2019,"lang":"en","type":"reference-entry","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Persuasion; Clientelism; Developing country; Politics; Coercion (linguistics); Political science; Enforcement; Democracy; Social network (sociolinguistics); Political economy; Sociology; Social psychology; Economics; Social media; Psychology; Economic growth; Law","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":[0.001679786,0.0002587938,0.0003946945,0.001980109,0.001042477,0.002101043,0.0002052903,0.0003750355,0.0107699],"category_scores_gemma":[0.008536897,0.0001693468,0.000400217,0.003385435,0.001063348,0.001035818,0.001812336,0.0008369432,0.0004998966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552226,"about_ca_system_score_gemma":0.0007588787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03054393,"about_ca_topic_score_gemma":0.0225376,"domain_scores_codex":[0.9988105,0.0007318943,0.0000353457,0.0001187812,0.00006887104,0.0002346633],"domain_scores_gemma":[0.9941321,0.003601517,0.001112677,0.0001846563,0.0003955983,0.0005734282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006691113,0.0002943531,0.832779,0.0003671765,0.0005963141,0.0009075711,0.01184888,0.008853593,0.0004864275,0.08200542,0.009738688,0.05145356],"study_design_scores_gemma":[0.00008658007,0.0001767055,0.9404939,0.0003725766,0.0003814725,0.0001774161,0.01407917,0.005107535,0.0002770057,0.01490462,0.02390845,0.00003464823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9224001,0.003806422,0.0005835821,0.003271956,0.00007801862,0.00003933137,0.001239877,0.00002903263,0.06855161],"genre_scores_gemma":[0.9967161,0.001419364,0.0001020096,0.0001035754,0.00002343458,0.00001506736,0.0001365559,0.000005131179,0.001478797],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03054393,"threshold_uncertainty_score":0.06073231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789235017366625,"score_gpt":0.3442639763697543,"score_spread":0.306371626196088,"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."}}