{"id":"W2936299981","doi":"10.2139/ssrn.3375521","title":"Persuasion on Networks","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Communication source; Persuasion; Intuition; Computer science; Zero (linguistics); Computer network; Psychology; Social psychology","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":[0.001727037,0.0004215086,0.000375277,0.002177535,0.001516107,0.004074847,0.000476332,0.001654538,0.030439],"category_scores_gemma":[0.01788595,0.0002685747,0.0003933824,0.001004395,0.001815609,0.005252146,0.001961942,0.001312728,0.002319934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004173,"about_ca_system_score_gemma":0.0003894351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007868489,"about_ca_topic_score_gemma":0.0005558385,"domain_scores_codex":[0.997943,0.00104296,0.00006612085,0.0002904025,0.0004923154,0.0001652297],"domain_scores_gemma":[0.9859955,0.0101912,0.0009321063,0.001272572,0.001154824,0.000453825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001273232,0.0001220482,0.002634121,0.000157693,0.00003970639,0.0001722196,0.002391124,0.002193413,0.00128857,0.9295215,0.007034391,0.05431796],"study_design_scores_gemma":[0.00005989165,0.0001154117,0.003324141,0.00008575369,0.00005508151,0.0002485223,0.001554369,0.0135424,0.001329311,0.9425409,0.0371225,0.00002178297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1763216,0.001358045,0.0353875,0.01185749,0.0004848597,0.00008859287,0.000175092,0.0002103799,0.7741165],"genre_scores_gemma":[0.9627036,0.000347239,0.002707042,0.0003900433,0.0002565281,0.00005081758,0.00005995871,0.00004248151,0.03344233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.030439,"threshold_uncertainty_score":0.1018286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009880261030583228,"score_gpt":0.2900065526205373,"score_spread":0.2801262915899541,"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."}}