{"id":"W3152082211","doi":"10.37391/ijbmr.090105","title":"Short or Long Review? - Text Analytics and Machine Learning Approaches to Online Reputation","year":2021,"lang":"en","type":"article","venue":"International Journal of Business and Management Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reputation; Analytics; Computer science; Data science; The Internet; Online learning; World Wide Web; Sentiment analysis; Artificial intelligence; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002724303,0.00005546891,0.000139083,0.0002302919,0.0001729708,0.0003074765,0.0001788098,0.0000256337,0.00003841118],"category_scores_gemma":[0.002394794,0.00004509998,0.00002704844,0.0005447739,0.0001045466,0.000240477,0.0002045913,0.0001771598,0.00000125783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006937099,"about_ca_system_score_gemma":0.00009367796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001032463,"about_ca_topic_score_gemma":0.0005367919,"domain_scores_codex":[0.9982206,0.0002270165,0.0002479028,0.0001310993,0.001021848,0.0001515401],"domain_scores_gemma":[0.9984071,0.0002262173,0.00006860567,0.00004501466,0.001140022,0.00011306],"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":[0.0001280621,0.0001647013,0.01324086,0.0003448465,0.0001780917,0.0006361672,0.001177027,0.0001055568,0.000005284499,0.006278189,0.001556255,0.976185],"study_design_scores_gemma":[0.0009462655,0.0001805008,0.3950545,0.006102482,0.0001412246,0.0001214885,0.01905455,0.000900485,0.00001539159,0.002586661,0.5745208,0.0003755967],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6563454,0.02265259,0.008009652,0.2166163,0.001705375,0.001058535,0.00002289633,0.0000515582,0.09353767],"genre_scores_gemma":[0.9025981,0.08806542,0.0009554308,0.000279541,0.0004181791,0.000004264667,0.00001664309,0.000008184468,0.007654221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9758094,"threshold_uncertainty_score":0.2965003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3164033584635526,"score_gpt":0.4374838992796399,"score_spread":0.1210805408160873,"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."}}