{"id":"W3124037823","doi":"10.2139/ssrn.2521190","title":"Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Reputation management; Reputation; Business; Marketing; Internet privacy; Computer science; Political science; Law","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":[0.007210692,0.0007822832,0.0007921861,0.003259413,0.0004082126,0.001526783,0.000975818,0.001544389,0.00205567],"category_scores_gemma":[0.0480278,0.0003461973,0.0009011484,0.002429405,0.0002736382,0.001714146,0.0005591473,0.0008359426,0.001009689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008542438,"about_ca_system_score_gemma":0.0005957019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005117224,"about_ca_topic_score_gemma":0.005202246,"domain_scores_codex":[0.9962065,0.002040911,0.0002186002,0.0005647118,0.0007862275,0.0001830856],"domain_scores_gemma":[0.9457989,0.04242293,0.005132919,0.002546847,0.003275617,0.0008227486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002455343,0.002685014,0.6554377,0.0004875406,0.0013895,0.0001798428,0.0002595612,0.07386814,0.005297842,0.001302013,0.006292609,0.2503449],"study_design_scores_gemma":[0.0001026142,0.001231314,0.2989241,0.00003021422,0.0004984536,0.0002212634,0.0001341856,0.6921383,0.004494141,0.001207796,0.0009576293,0.00005995134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97931,0.001199298,0.01333869,0.0003332652,0.0001214525,0.0001649799,0.001004873,0.0004284169,0.004099006],"genre_scores_gemma":[0.9909491,0.0001315286,0.006731214,0.00003259776,0.0001470645,0.00005624963,0.0006855562,0.00002034213,0.001246235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007210692,"threshold_uncertainty_score":0.03813422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981503224087258,"score_gpt":0.3500053089644698,"score_spread":0.3301902767235972,"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."}}