{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008889271,0.0004439472,0.001098295,0.002030174,0.0005140814,0.002320226,0.001001507,0.001353784,0.003495113],"category_scores_gemma":[0.06244935,0.0003136254,0.0008169957,0.002989612,0.0008718806,0.001484471,0.0007221551,0.001064705,0.0009187104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008826463,"about_ca_system_score_gemma":0.002822033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621803,"about_ca_topic_score_gemma":0.007988958,"domain_scores_codex":[0.992815,0.00405337,0.0004904786,0.0005596473,0.001921239,0.0001602705],"domain_scores_gemma":[0.9038604,0.07427487,0.008747765,0.001531324,0.01061028,0.0009752952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001639536,0.0006943287,0.04014713,0.06758849,0.003342216,0.0008076456,0.003641547,0.0005130025,0.001428347,0.004595401,0.01379697,0.8618055],"study_design_scores_gemma":[0.0008750496,0.006483122,0.4003716,0.06154128,0.01395247,0.005573474,0.006706551,0.002712789,0.00514448,0.01002319,0.4861554,0.0004605981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0628112,0.9184455,0.0009644239,0.003452518,0.0003187513,0.000207632,0.0003329364,0.00002080656,0.01344629],"genre_scores_gemma":[0.290315,0.704477,0.001223963,0.001594798,0.0005100032,0.0001404818,0.0003142467,0.00002259792,0.001401981],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008889271,"threshold_uncertainty_score":0.04701155,"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."}}