{"id":"W4406071797","doi":"10.1016/j.ject.2024.12.001","title":"User activity to enhance customer lifetime value modeling in contractual streaming industry","year":2025,"lang":"en","type":"article","venue":"Journal of Economy and Technology","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Customer value; Value (mathematics); Business; Customer lifetime value; Computer science; Customer retention; Marketing; Service quality; Microeconomics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002541942,0.00008985784,0.0002217038,0.001082593,0.00005308079,0.00007145499,0.0001194851,0.0001994665,0.0000295128],"category_scores_gemma":[0.00008383391,0.00008763182,0.00002688629,0.0004226818,0.00002720359,0.0007366017,0.00008040177,0.0004514564,0.00001261854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004884467,"about_ca_system_score_gemma":0.00003591945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006353727,"about_ca_topic_score_gemma":0.00005626658,"domain_scores_codex":[0.9993897,0.000005154762,0.0002934841,0.0001241783,0.00003811769,0.00014935],"domain_scores_gemma":[0.9996186,0.0000298427,0.0001828902,0.00007471281,0.00008354775,0.00001041015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005449398,0.0006224004,0.2742228,0.0002556529,0.0003504439,0.0001176764,0.0002320657,0.008608808,0.01586338,0.08626061,0.002282921,0.6106383],"study_design_scores_gemma":[0.01749353,0.0005004255,0.09070169,0.003515525,0.001039102,0.0002437219,0.01602506,0.3117078,0.06143402,0.1332781,0.3605367,0.003524291],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987686,0.00009575112,0.002382762,0.005004038,0.0001497409,0.00008810029,2.774977e-7,0.00001695113,0.004576419],"genre_scores_gemma":[0.9985701,0.00001131595,0.0002024859,0.0009660712,0.0001360595,0.000004114733,3.156656e-7,0.000005036753,0.0001045088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.607114,"threshold_uncertainty_score":0.3573522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043887489887177,"score_gpt":0.258804894720092,"score_spread":0.2483660198212202,"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."}}