{"id":"W2912186200","doi":"10.1287/mnsc.2020.3604","title":"How Digital Word-of-Mouth Affects Consumer Decision Making: Evidence from Doctor Appointment Booking","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Word of mouth; Duration (music); Marketing; Advertising; Business; Set (abstract data type); Session (web analytics); Cannibalization; Psychology; Computer science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001138716,0.0001515265,0.0002092871,0.0001108356,0.0005133713,0.00140258,0.001022404,0.00004100345,0.00004854576],"category_scores_gemma":[0.003601159,0.0001420839,0.00008369329,0.001164054,0.001153202,0.001556242,0.0005042661,0.00009394345,0.00005992562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409401,"about_ca_system_score_gemma":0.0001064028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005132807,"about_ca_topic_score_gemma":0.00002257463,"domain_scores_codex":[0.9969957,0.00007648281,0.0001973288,0.0005880886,0.001647505,0.000494832],"domain_scores_gemma":[0.9984784,0.0007502022,0.0001754782,0.0002463462,0.0000798903,0.0002696746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007526768,0.00005648866,0.01226854,0.00004734359,0.00002663548,0.00003551332,0.01449524,0.00001182067,0.0001631542,0.008018622,0.001467413,0.963334],"study_design_scores_gemma":[0.003156655,0.0005893745,0.2764616,0.009893346,0.000394073,0.000001147415,0.1539588,0.001795878,0.002035008,0.0359925,0.5119272,0.003794439],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989699,0.0003191023,0.003578949,0.004480337,0.001031991,0.0008127108,0.00001571435,0.0002207376,0.09057055],"genre_scores_gemma":[0.9965943,0.00007473091,0.002238346,0.0002680762,0.0001492405,0.00001328183,9.773584e-7,0.000009221073,0.0006519054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9595395,"threshold_uncertainty_score":0.9996341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04376095862914826,"score_gpt":0.3130162028371552,"score_spread":0.2692552442080069,"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."}}