{"id":"W1884545443","doi":"10.1002/cjas.1254","title":"The relational benefits of personalized communications in an online environment","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Relevance (law); Loyalty; Word of mouth; Psychology; Loyalty business model; Marketing; Business; Advertising; Knowledge management; Social psychology; Computer science; Political science; Service (business)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002522771,0.0001429515,0.0001978963,0.0004250167,0.001488281,0.0004995152,0.001257429,0.0000632954,0.0002039119],"category_scores_gemma":[0.0004218689,0.0001152576,0.00007207621,0.001046328,0.004747793,0.002356358,0.00003068765,0.000218138,0.00000813456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002959363,"about_ca_system_score_gemma":0.002179949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02926521,"about_ca_topic_score_gemma":0.8104324,"domain_scores_codex":[0.9982494,0.0001095172,0.0006892022,0.0002252801,0.0002404968,0.0004861148],"domain_scores_gemma":[0.9982102,0.0002549763,0.0006983838,0.0002416028,0.000388005,0.0002068341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003759095,0.0002006452,0.2149667,0.00007708483,0.00002210247,0.00002344008,0.008999324,0.003537043,0.0003042539,0.7632921,0.0001643412,0.008375316],"study_design_scores_gemma":[0.0005809092,0.001414965,0.8467444,0.0003117099,0.00005078298,0.0001833128,0.06001054,0.02397135,0.00007238794,0.05636404,0.009818571,0.0004769934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896944,0.0004711511,0.00005636375,0.006381566,0.0001448628,0.0001974598,0.00002425094,0.000003447583,0.003026459],"genre_scores_gemma":[0.9957423,0.00003580326,0.003596665,0.0003730019,0.0001609492,0.000009283038,0.00001463199,0.000005394715,0.00006194237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7811671,"threshold_uncertainty_score":0.9998116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971983571604556,"score_gpt":0.3241227707608647,"score_spread":0.1269244136004091,"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."}}