{"id":"W4200137246","doi":"10.1287/mnsc.2021.4238","title":"More than the Quantity: The Value of Editorial Reviews for a User-Generated Content Platform","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Readability; Herding; Systematic review; Variety (cybernetics); Computer science; Value (mathematics); User-generated content; World Wide Web; Social media; MEDLINE; Political science; Artificial intelligence","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":[0.02400315,0.0005765282,0.0009079437,0.002311512,0.001355206,0.008402542,0.001252596,0.001639412,0.004642375],"category_scores_gemma":[0.2089545,0.000493546,0.0007816878,0.001839936,0.001526261,0.005736112,0.001661357,0.001400982,0.0008460468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002415973,"about_ca_system_score_gemma":0.001939525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265089,"about_ca_topic_score_gemma":0.001613045,"domain_scores_codex":[0.973527,0.0163535,0.0009567976,0.002501621,0.005938753,0.0007223871],"domain_scores_gemma":[0.4954181,0.4080954,0.05723574,0.01651036,0.01601203,0.006728294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008707751,0.003000718,0.4763584,0.002893467,0.001874296,0.001271355,0.01373837,0.01192624,0.04707094,0.02120807,0.006007918,0.4059425],"study_design_scores_gemma":[0.0005484617,0.007606547,0.8535854,0.0004201778,0.001883762,0.001349443,0.005829223,0.0585173,0.0180985,0.03449547,0.01725606,0.00040961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573032,0.001871006,0.01460161,0.002795481,0.000243406,0.000412363,0.0002673361,0.0002828165,0.02222268],"genre_scores_gemma":[0.9931536,0.0001425632,0.004505952,0.0002214843,0.0002233628,0.00009431519,0.00006102894,0.00005306566,0.001544567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02400315,"threshold_uncertainty_score":0.1269423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08618188514080186,"score_gpt":0.3432779671416054,"score_spread":0.2570960820008035,"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."}}