{"id":"W2786452096","doi":"10.1287/mnsc.2017.2896","title":"Competitive vs. Complementary Effects in Online Social Networks and News Consumption: A Natural Experiment","year":2018,"lang":"en","type":"article","venue":"Management Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Audience measurement; Advertising; Consumption (sociology); Social media; Generalizability theory; Natural experiment; Business; Computer science; Internet privacy; Psychology; World Wide Web; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001029215,0.0001082086,0.0001444979,0.0001342668,0.001025388,0.0002322093,0.0003358226,0.00002824435,0.00004970674],"category_scores_gemma":[0.00008138137,0.000110117,0.00002431967,0.0005868782,0.002788399,0.0003260995,0.0002973719,0.00009755351,0.00001392509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986942,"about_ca_system_score_gemma":0.00003237713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005735377,"about_ca_topic_score_gemma":0.004003087,"domain_scores_codex":[0.998289,0.0001532754,0.0001640534,0.0003623014,0.000541503,0.0004898839],"domain_scores_gemma":[0.9995652,0.0001284694,0.0000611196,0.00008824962,0.00004801455,0.0001088834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001358885,0.0003767833,0.08078866,0.00007085141,0.00003308525,0.0000541167,0.03748703,0.000003915811,0.00005425875,0.7187037,0.003382704,0.1589089],"study_design_scores_gemma":[0.001962379,0.0002425794,0.8415445,0.0002600055,0.00002798239,7.913526e-7,0.0615012,0.001259509,0.00003797062,0.002499319,0.09004835,0.0006153983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.862974,0.0001699427,0.0001299756,0.002763768,0.001621524,0.000763163,0.000003539329,0.00009527749,0.1314788],"genre_scores_gemma":[0.9973758,0.0000800859,0.0006118161,0.001085515,0.0004066472,0.00002129002,0.000004948909,0.000004808079,0.0004090329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7607558,"threshold_uncertainty_score":0.9999254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874593529181433,"score_gpt":0.3278727771974015,"score_spread":0.3091268419055872,"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."}}