{"id":"W4311681124","doi":"10.22215/etd/2022-15329","title":"Graph-based Knowledge Modeling and Analytics for Capturing and Predicting Customer Behaviour","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Predictive analytics; Graph; Predictive modelling; Data mining; Machine learning; Human multitasking; Artificial neural network; Analytics; Artificial intelligence; Data science; Theoretical computer science","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":[0.0009431567,0.000980805,0.0006491118,0.002586443,0.0003679743,0.001197773,0.0009845509,0.000750727,0.001643436],"category_scores_gemma":[0.003307062,0.00034833,0.001000791,0.002646429,0.0003484469,0.002791237,0.0005588362,0.001058997,0.0007382048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322958,"about_ca_system_score_gemma":0.001109039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504028,"about_ca_topic_score_gemma":0.0281004,"domain_scores_codex":[0.9994532,0.0001846266,0.00003681751,0.0001265856,0.000156238,0.00004253748],"domain_scores_gemma":[0.9981839,0.001183693,0.000121939,0.0002634493,0.0002055825,0.00004130699],"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":[0.0001807319,0.0003339308,0.008445493,0.0002318445,0.000243894,0.00009348222,0.00008922425,0.606014,0.003294889,0.007896024,0.003299815,0.3698768],"study_design_scores_gemma":[0.000002958847,0.00002266917,0.001049076,0.00000890614,0.0000161015,0.00001785165,0.00002162379,0.9921027,0.000859287,0.005360456,0.0005324967,0.000005979613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.109054,0.001591495,0.8759983,0.001163569,0.00005248938,0.0001946217,0.002012098,0.005117162,0.004816155],"genre_scores_gemma":[0.6840174,0.001749346,0.3085035,0.000148774,0.00003042429,0.0001071829,0.003723995,0.0001009171,0.001618599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02504028,"threshold_uncertainty_score":0.04978901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746611423574983,"score_gpt":0.2759428568594013,"score_spread":0.2484767426236515,"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."}}