{"id":"W1506001892","doi":"","title":"Electronic retailing: an analysis of web impacts and relationship marketing opportunities","year":2004,"lang":"en","type":"dissertation","venue":"","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Marketing; Business; Consumer behaviour; Relationship marketing; Customer relationship management; Empirical research; Advertising; Marketing management; Mathematics","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":[0.0009276081,0.0001899799,0.0002054019,0.002579316,0.0006426696,0.002263732,0.0002583631,0.0002955204,0.01142834],"category_scores_gemma":[0.003661874,0.0001394736,0.0003667619,0.00372193,0.0004424183,0.002537338,0.0009496097,0.0005092148,0.0006584467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007048972,"about_ca_system_score_gemma":0.0006866274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456239,"about_ca_topic_score_gemma":0.002321522,"domain_scores_codex":[0.9996172,0.0001277188,0.00002404445,0.00002619406,0.0001478708,0.00005693789],"domain_scores_gemma":[0.9958721,0.003042327,0.0003879585,0.0000993236,0.0003518719,0.0002464113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003163134,0.0009985331,0.6900052,0.0005895825,0.0001223875,0.000721393,0.008313823,0.000901011,0.001435709,0.03028967,0.004795291,0.2615111],"study_design_scores_gemma":[0.0000156696,0.0002728192,0.9676597,0.000169916,0.00008507863,0.0004104162,0.01181454,0.001757853,0.0004084162,0.003676203,0.01371432,0.00001501154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408976,0.001406316,0.001193989,0.0005019371,0.00001366594,0.0001498232,0.0003855391,0.00002172418,0.05542936],"genre_scores_gemma":[0.9911948,0.002078097,0.001615663,0.00006554428,0.00003066106,0.0001180914,0.0003154327,0.0000156031,0.004566138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142834,"threshold_uncertainty_score":0.03823155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0491571930439465,"score_gpt":0.2871111264123478,"score_spread":0.2379539333684013,"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."}}