{"id":"W3145631682","doi":"10.2139/ssrn.3502849","title":"‘The Company We Keep:’ Endogenous Network Formation and Peer Effects in Customer Churn","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Industrial organization; Endogeny; Marketing; Customer retention; Peer-to-peer; Computer science; Computer network; Chemistry","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":[0.002129256,0.0001339235,0.0005350531,0.000491559,0.0009942022,0.00284012,0.0008511851,0.002338932,0.009711127],"category_scores_gemma":[0.01863532,0.000310353,0.0002594218,0.0008531465,0.003013227,0.00546872,0.001176007,0.001733139,0.0007608682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130335,"about_ca_system_score_gemma":0.000566839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004750571,"about_ca_topic_score_gemma":0.006633615,"domain_scores_codex":[0.9993752,0.000304516,0.00001545546,0.0001324315,0.00006675868,0.0001057679],"domain_scores_gemma":[0.9842613,0.0113975,0.002341315,0.0005917292,0.0005462986,0.000861969],"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":[0.0007011645,0.0003971446,0.08571317,0.0004113286,0.0002875195,0.0009349791,0.008506213,0.03120543,0.003571726,0.7784895,0.02579329,0.0639885],"study_design_scores_gemma":[0.000196566,0.0002384804,0.141804,0.0001527949,0.0002840975,0.0005061054,0.01114918,0.1551476,0.001529546,0.6693226,0.0194983,0.0001707222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231721,0.001592832,0.01961293,0.0162161,0.0001931479,0.0000233294,0.0001449149,0.00008785644,0.03895688],"genre_scores_gemma":[0.9973851,0.0001725802,0.0003559263,0.0002386952,0.00006296154,0.00000501239,0.00001101339,0.00001058094,0.001758178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009711127,"threshold_uncertainty_score":0.03248692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00624198947188061,"score_gpt":0.2226834419159707,"score_spread":0.2164414524440901,"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."}}