{"id":"W4384938621","doi":"10.1016/j.elerap.2023.101294","title":"How do you cope? Online medical consultation service uncertainty, coping strategies, and subsequent payment","year":2023,"lang":"en","type":"article","venue":"Electronic Commerce Research and Applications","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Coping (psychology); Payment; Contextualization; Business; Service provider; Marketing; Service (business); Psychology; Computer science; Clinical psychology; Finance","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":[0.002216326,0.0001965684,0.0002839637,0.0006427526,0.001522168,0.003928971,0.0006183865,0.002532859,0.005702954],"category_scores_gemma":[0.03065915,0.0002832456,0.0004680415,0.0007157224,0.001300051,0.001949617,0.001254871,0.002936455,0.000619324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044128,"about_ca_system_score_gemma":0.001437558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006830767,"about_ca_topic_score_gemma":0.01048911,"domain_scores_codex":[0.9984338,0.0006545755,0.00008286506,0.00008530596,0.0003177512,0.0004257445],"domain_scores_gemma":[0.9834443,0.007239042,0.004909775,0.0003772308,0.0006965019,0.0033331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00104461,0.004082972,0.8812591,0.000121382,0.0005127453,0.0009388188,0.03513955,0.0006066753,0.0006841447,0.002608805,0.006525214,0.06647599],"study_design_scores_gemma":[0.00009697871,0.0004299468,0.9113915,0.0001465111,0.0001305194,0.0006307797,0.07989437,0.001396577,0.0001556566,0.00281497,0.002830715,0.00008140913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894672,0.0005958103,0.00008482696,0.006072798,0.00006704109,0.00001916652,0.00005981696,0.000004567484,0.003628895],"genre_scores_gemma":[0.9982257,0.0002632408,0.00008447095,0.0008489231,0.00004692799,0.00001152227,0.00003699925,0.000002951125,0.0004792197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006830767,"threshold_uncertainty_score":0.01907825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07172197153926298,"score_gpt":0.3614631115359854,"score_spread":0.2897411399967225,"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."}}