{"id":"W7117737194","doi":"10.2991/978-94-6463-940-7_10","title":"Analyzing Customer Conversion Patterns: A Survival Analysis Approach to Multi-Channel Attribution","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems research/Advances in Intelligent Systems Research","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Passat (Canada)","funders":"","keywords":"Attribution; Survival analysis; Term (time); Baseline (sea)","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":[0.00518195,0.0006004583,0.0008310573,0.003736521,0.0007630701,0.002467313,0.001314656,0.001135223,0.005372867],"category_scores_gemma":[0.01914437,0.0003825843,0.001323091,0.004686707,0.001296814,0.002216841,0.001676064,0.001786175,0.0005802468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262385,"about_ca_system_score_gemma":0.0009385286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009631041,"about_ca_topic_score_gemma":0.007237388,"domain_scores_codex":[0.9984332,0.0007563428,0.00006580109,0.0003340849,0.0002299182,0.0001806681],"domain_scores_gemma":[0.9816391,0.01470618,0.001421363,0.001225774,0.0007065468,0.0003010572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000243757,0.0003457478,0.2655651,0.0002631788,0.0006552464,0.0007829397,0.003470077,0.3052934,0.001576901,0.1840386,0.005563691,0.2322015],"study_design_scores_gemma":[0.00000855202,0.00007874355,0.03745122,0.00005745731,0.00007228258,0.0001844948,0.0009809209,0.8529326,0.0002972586,0.1053167,0.002558597,0.00006117063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3097671,0.0009895088,0.678094,0.001355954,0.00008581094,0.000202481,0.001680341,0.0005304656,0.007294445],"genre_scores_gemma":[0.9415939,0.000755579,0.05110945,0.00009782056,0.00009962905,0.0002497924,0.001156659,0.00008936433,0.004847787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009631041,"threshold_uncertainty_score":0.02740514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393589329498983,"score_gpt":0.4020867613727491,"score_spread":0.2627278284228508,"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."}}