{"id":"W4392731213","doi":"10.1177/10591478231224941","title":"Negative Peer Feedback and User Content Generation: Evidence From a Restaurant Review Platform","year":2024,"lang":"en","type":"review","venue":"Production and Operations Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Negative feedback; Peer feedback; TRACE (psycholinguistics); Quality (philosophy); User engagement; Multimedia; Internet privacy; Human–computer interaction; World Wide Web; Psychology","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":[0.001442822,0.0002486792,0.000554461,0.0001072016,0.0006673161,0.0007677351,0.0001278813,0.00009700889,0.00007581956],"category_scores_gemma":[0.001612367,0.0001936202,0.000105868,0.000395836,0.0002123145,0.0005487822,0.0001271062,0.0002129512,0.00007976745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572578,"about_ca_system_score_gemma":0.000129864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005357945,"about_ca_topic_score_gemma":0.001753819,"domain_scores_codex":[0.9979573,0.00028173,0.0004600692,0.0006319215,0.0004828593,0.0001861148],"domain_scores_gemma":[0.9992396,0.000097222,0.00009432759,0.0002253121,0.0002278719,0.0001157283],"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":[0.000002445047,0.00002436258,0.000001270834,0.008301185,0.0001823789,0.000005440357,0.002584739,6.059558e-7,7.789495e-8,0.008042536,0.05867445,0.9221805],"study_design_scores_gemma":[0.00003220695,0.00001366169,0.000007095568,0.03531581,0.001029949,0.00000165797,0.001644883,0.00000646025,1.586087e-7,0.00008012,0.9616473,0.0002206962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002498884,0.9804313,0.00002490341,0.01061738,0.001534891,0.002183494,0.00002553664,0.00008097362,0.00507652],"genre_scores_gemma":[0.0000316351,0.9449476,0.0006105932,0.0002095375,0.001109874,0.0004632177,0.00007324664,0.00001965942,0.05253461],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9219598,"threshold_uncertainty_score":0.7895601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2283060163220195,"score_gpt":0.3949135499403243,"score_spread":0.1666075336183048,"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."}}