{"id":"W7164005075","doi":"10.1109/iipem65914.2025.11547960","title":"Discriminant Analysis for Classifying Online Shoppers Based on Purchase Intentions","year":2025,"lang":"","type":"article","venue":"","topic":"Customer churn and segmentation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Linear discriminant analysis; Feature (linguistics); Construct (python library); Data collection; Statistical analysis","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":[0.008482905,0.001147145,0.0007503565,0.005328631,0.0007512491,0.001010987,0.0006301053,0.0005015487,0.002417126],"category_scores_gemma":[0.02132658,0.0003136314,0.001100029,0.002151635,0.0004951844,0.0009691899,0.001131977,0.001043128,0.0009170352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004650179,"about_ca_system_score_gemma":0.000699061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262791,"about_ca_topic_score_gemma":0.001700424,"domain_scores_codex":[0.9967006,0.002059442,0.000237664,0.0002603534,0.0005641207,0.0001777845],"domain_scores_gemma":[0.9849229,0.01142326,0.0007771302,0.0008715806,0.001659958,0.0003450959],"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":[0.002217342,0.001467985,0.6044348,0.0002491491,0.0005683358,0.0002093293,0.002364431,0.01428757,0.00854681,0.007465232,0.002988155,0.355201],"study_design_scores_gemma":[0.0002485488,0.002376284,0.4951272,0.0001672911,0.0002328922,0.0004435172,0.004233084,0.4728542,0.006827306,0.01213137,0.005160536,0.0001978078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247069,0.0001809907,0.1660558,0.0002375639,0.00008397303,0.00101808,0.001214334,0.0004567371,0.006045569],"genre_scores_gemma":[0.9470529,0.0000693609,0.05086983,0.00002527781,0.00002513341,0.0005143542,0.0006155033,0.00003839034,0.0007892302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008482905,"threshold_uncertainty_score":0.04486239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05428878798630531,"score_gpt":0.3189616421809275,"score_spread":0.2646728541946222,"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."}}