{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002776218,0.0002732221,0.0002737493,0.000690718,0.0004695889,0.0003387885,0.00009467096,0.0001229136,0.0001387842],"category_scores_gemma":[0.00003495884,0.0002836626,0.00009529267,0.0002746504,0.00001432762,0.000411708,0.00005347278,0.0002109983,0.000003947576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003971594,"about_ca_system_score_gemma":0.00003219908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006243669,"about_ca_topic_score_gemma":0.001485229,"domain_scores_codex":[0.9987951,0.000006224757,0.0003394106,0.0004224411,0.0001967068,0.0002401464],"domain_scores_gemma":[0.9994467,0.00004459155,0.0002155952,0.0001148643,0.0001593356,0.00001889952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003010753,0.002399132,0.5715525,0.05346741,0.002129627,0.00007600548,0.01947742,0.07960724,0.005071339,0.04281219,0.01964559,0.2007508],"study_design_scores_gemma":[0.001625851,0.00001563456,0.003785124,0.0001656436,0.001032248,0.000001113254,0.01367315,0.9762365,0.00005942509,0.0004718805,0.002225641,0.0007077454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814786,0.0008202826,0.001869834,0.0000627699,0.0008444071,0.0008404957,0.00002031272,0.0001965031,0.01386681],"genre_scores_gemma":[0.9938498,0.00002936411,0.0002924101,0.0001832492,0.0004033525,0.0001375304,0.002076102,0.00007343105,0.002954766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8966293,"threshold_uncertainty_score":0.9999616,"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."}}