{"id":"W1872399634","doi":"10.1287/mksc.2015.0926","title":"The Economic Value of Online Reviews","year":2015,"lang":"en","type":"article","venue":"Marketing Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Counterfactual thinking; Quality (philosophy); Product (mathematics); Value (mathematics); Marketing; Variance (accounting); Set (abstract data type); Reading (process); Population; Computer science; Advertising; Business; Psychology; Machine learning; Mathematics; Sociology","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":[0.002603661,0.0002893801,0.0005087444,0.001730583,0.0003804506,0.002152788,0.0005198848,0.0008255206,0.002698657],"category_scores_gemma":[0.05525842,0.0002205019,0.0004246423,0.002029016,0.0007821081,0.003235299,0.0006273477,0.001096207,0.0003448854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550843,"about_ca_system_score_gemma":0.0003677566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0030044,"about_ca_topic_score_gemma":0.003410159,"domain_scores_codex":[0.9971293,0.001412114,0.0001656575,0.0002544229,0.0008976284,0.0001407888],"domain_scores_gemma":[0.9326349,0.05480419,0.00686228,0.001758496,0.003120925,0.0008192492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001926858,0.000747878,0.6616147,0.0008487283,0.0009573655,0.001423032,0.001012527,0.04909474,0.002674045,0.04212079,0.009341748,0.2282375],"study_design_scores_gemma":[0.0001432513,0.000897551,0.7262774,0.0003393764,0.0005661704,0.001420708,0.001937298,0.1803835,0.003113766,0.05683873,0.02784981,0.0002325464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488063,0.006662049,0.009682673,0.003413699,0.000131577,0.0001038949,0.00179719,0.00005781044,0.02934482],"genre_scores_gemma":[0.9968666,0.0005723982,0.0007290859,0.0001021131,0.00008616126,0.00001438815,0.0003292577,0.000006739667,0.001293205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0030044,"threshold_uncertainty_score":0.01376969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022442503184156,"score_gpt":0.2847558215303389,"score_spread":0.2445313964984973,"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."}}