{"id":"W1985318087","doi":"10.1145/1806338.1806411","title":"Mining online shopping patterns and communities","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Association rule learning; Competitive advantage; Focus (optics); Computer science; Cluster analysis; Data science; Business; Data mining; Marketing; Artificial intelligence","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":[0.0009340846,0.0005907487,0.0008119483,0.01478231,0.001634033,0.002050421,0.0009787187,0.00116453,0.002312601],"category_scores_gemma":[0.007327117,0.0004960766,0.001125062,0.008981621,0.0005909742,0.002417417,0.001755862,0.0006099135,0.001110215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594451,"about_ca_system_score_gemma":0.00119862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008671045,"about_ca_topic_score_gemma":0.01565038,"domain_scores_codex":[0.998429,0.0002696547,0.0001300818,0.0004821022,0.000497971,0.000191113],"domain_scores_gemma":[0.9964232,0.001405411,0.0005140426,0.0004325198,0.000796589,0.0004281753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001206472,0.00207431,0.3453541,0.001481664,0.0009659887,0.00339643,0.00483399,0.02234281,0.01469322,0.02287409,0.02583885,0.554938],"study_design_scores_gemma":[0.0001766492,0.0005676814,0.2415382,0.0004819585,0.0005959128,0.006192396,0.01061144,0.5821031,0.0100924,0.09531298,0.05208855,0.0002388285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727331,0.00170247,0.1008204,0.0007380917,0.0001198743,0.0008154996,0.01209472,0.001511249,0.009464649],"genre_scores_gemma":[0.8461041,0.00061582,0.1367527,0.0001256316,0.00009136419,0.000330221,0.01260445,0.0001040136,0.003271747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478231,"threshold_uncertainty_score":0.01724112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972024582799476,"score_gpt":0.2817035417665,"score_spread":0.2419832959385052,"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."}}