{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149654,0.0001513034,0.0001777391,0.0002520798,0.0007205423,0.0009579388,0.0003120368,0.00009442985,0.0001040484],"category_scores_gemma":[0.00008643336,0.0001424006,0.00002201661,0.001824834,0.0001765712,0.0005360667,0.0003527066,0.0005684129,0.00009863391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008858208,"about_ca_system_score_gemma":0.0002896752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206431,"about_ca_topic_score_gemma":0.008693141,"domain_scores_codex":[0.99796,0.0000595289,0.0002012631,0.0004078695,0.0006574265,0.0007139149],"domain_scores_gemma":[0.9988409,0.0003526061,0.00007153465,0.0002918349,0.000361871,0.00008123971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007274854,0.0003177398,0.001323831,0.0009236902,0.00007882277,0.000005917261,0.0003676985,0.00005110397,0.0005905639,0.8968317,0.008026086,0.09141009],"study_design_scores_gemma":[0.001176509,0.00005175178,0.005912112,0.00008874969,0.00002563268,0.000007154817,0.01442003,0.0114392,0.00001196677,0.02866131,0.9379126,0.0002930028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7124065,0.002476949,0.001035413,0.2792195,0.00003842229,0.001817317,0.00003779756,0.0003715184,0.002596512],"genre_scores_gemma":[0.9933957,0.002175153,0.00001458587,0.002198286,0.0004909629,0.000467734,0.000811549,0.00002321988,0.0004227821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9298865,"threshold_uncertainty_score":0.9237426,"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."}}