{"id":"W3160170194","doi":"10.1002/eng2.12411","title":"Mining web content usage patterns of electronic commerce transactions for enhanced customer services","year":2021,"lang":"en","type":"article","venue":"Engineering Reports","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Web analytics; Web mining; Web page; Visitor pattern; Data warehouse; World Wide Web; Path analysis (statistics); Data mining; Web intelligence; Web development","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":[0.0001439582,0.00009544396,0.000150973,0.0000489045,0.00005212721,0.00004515609,0.0001785982,0.00003252345,0.0000112193],"category_scores_gemma":[0.00001180124,0.0001029337,0.00006983525,0.0001922997,0.000004700724,0.00018067,0.00002827121,0.00007433792,0.000001148546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627495,"about_ca_system_score_gemma":0.00006909131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012743,"about_ca_topic_score_gemma":0.00001759674,"domain_scores_codex":[0.9991018,0.000004103009,0.000285042,0.0002702833,0.0001160583,0.0002226818],"domain_scores_gemma":[0.9992143,0.0000693193,0.0001024891,0.0004704782,0.00009328057,0.0000501616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004680456,0.0004805689,0.001094457,0.0008346201,0.0003782085,0.0001495645,0.003807635,0.03878499,0.7992684,0.006898706,0.0002252912,0.1480728],"study_design_scores_gemma":[0.0004638604,0.00008453502,0.004310612,0.0003035313,0.00006435208,0.0004003533,0.000336974,0.5130554,0.4263098,0.00006141366,0.0540714,0.0005378077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.179132,0.00009817978,0.8202053,0.0001244269,0.0001931941,0.00009162017,0.00001480931,0.0000914526,0.00004898648],"genre_scores_gemma":[0.9474416,0.00002201952,0.05198588,0.00003495155,0.00002778881,0.00009456263,0.00002871459,0.00001220317,0.000352326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7683095,"threshold_uncertainty_score":0.4197515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312963243023291,"score_gpt":0.230238828432788,"score_spread":0.217109196002555,"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."}}