{"id":"W4285195390","doi":"10.5958/0973-9343.2022.00011.4","title":"Is it easy to retain the customers online? - Deciphering customers","year":2022,"lang":"en","type":"article","venue":"JIMS8M The Journal of Indian Management & Strategy","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Business; Advertising; Marketing; Internet privacy; Computer science; World Wide Web","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":[0.0015817,0.0002453557,0.0003608633,0.0006114633,0.001636926,0.004748987,0.0005384663,0.0009805406,0.009502362],"category_scores_gemma":[0.006898602,0.0001298806,0.0002281914,0.001051947,0.00188656,0.007396685,0.00206774,0.001678757,0.003634515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006336485,"about_ca_system_score_gemma":0.0008829319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098264,"about_ca_topic_score_gemma":0.00111864,"domain_scores_codex":[0.9988317,0.0003286425,0.00005965967,0.0001142886,0.0004817091,0.0001839315],"domain_scores_gemma":[0.9972774,0.0007931127,0.0005602627,0.0002613491,0.0007875882,0.0003202336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002531848,0.0003133922,0.1146834,0.0006711358,0.00005646609,0.0012077,0.08140071,0.0002885533,0.008042797,0.03208954,0.05778381,0.7032093],"study_design_scores_gemma":[0.00002313294,0.001160724,0.1821599,0.001225506,0.0001189841,0.007178115,0.3673205,0.001900856,0.01036708,0.04854607,0.3797181,0.0002811465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8546983,0.004438909,0.008669019,0.03110954,0.0007221065,0.0001232278,0.0004674698,0.0002929702,0.09947848],"genre_scores_gemma":[0.9736893,0.002637142,0.003149416,0.00341176,0.0002166853,0.00003233484,0.0001450065,0.00005593442,0.01666249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009502362,"threshold_uncertainty_score":0.03178853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037477254657178,"score_gpt":0.3777399771579857,"score_spread":0.2739922516922679,"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."}}