{"id":"W1975291141","doi":"10.1108/02652320110388531","title":"Singapore’s undergraduates: how they choose which bank to patronise","year":2001,"lang":"en","type":"article","venue":"International Journal of Bank Marketing","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ranking (information retrieval); Selection (genetic algorithm); Sample (material); Marketing; Dimension (graph theory); Order (exchange); Homogeneous; Psychology; Business; Computer science; Mathematics; Finance; 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":[0.001097024,0.0001441334,0.0002288909,0.0004737468,0.0007089592,0.002378204,0.0001723954,0.0004584049,0.003516342],"category_scores_gemma":[0.004481342,0.0001748253,0.0001514414,0.0005413138,0.000678744,0.000935922,0.0008311729,0.000613693,0.001143818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108239,"about_ca_system_score_gemma":0.0005806296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069327,"about_ca_topic_score_gemma":0.01748479,"domain_scores_codex":[0.9994537,0.0001962546,0.00004487378,0.00003965267,0.0001387387,0.000126715],"domain_scores_gemma":[0.997146,0.0003984996,0.0009009385,0.00008106436,0.0003386587,0.001134941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000176052,0.0002630003,0.9293435,0.00003918924,0.00002527912,0.0003934609,0.03722491,0.00006082124,0.001240778,0.0002910271,0.002264053,0.02867793],"study_design_scores_gemma":[0.00001852173,0.0003672731,0.861079,0.00003720765,0.00002034573,0.0005521212,0.1316018,0.0004529827,0.000382416,0.0002550932,0.0052052,0.00002811167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990249,0.00005361451,0.00002316589,0.0002052144,0.000005261455,0.000003481054,0.00002031214,9.240233e-7,0.0006632858],"genre_scores_gemma":[0.9986705,0.0001293189,0.00004121759,0.0001480792,0.000005828157,0.000003328869,0.00005906698,0.000001140477,0.0009415385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006069327,"threshold_uncertainty_score":0.01206803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288843038736673,"score_gpt":0.2360427280944871,"score_spread":0.2231542977071204,"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."}}