{"id":"W2556427464","doi":"10.1016/j.inffus.2016.11.011","title":"Fusing and mining opinions for reputation generation","year":2016,"lang":"en","type":"article","venue":"Information Fusion","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Reputation; Computer science; Popularity; Sentiment analysis; Generality; Preference; Public opinion; Principal (computer security); The Internet; Data science; World Wide Web; Information retrieval; Artificial intelligence; Psychology; Computer security; Mathematics","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":[0.0002745989,0.00005974539,0.00006312126,0.0001624517,0.0002228491,0.0001974396,0.0000860457,0.00003450341,0.00001159386],"category_scores_gemma":[0.00007752236,0.00004300122,0.00003021783,0.0001374192,0.000009608437,0.0026427,0.00005830214,0.00001278845,0.00001602413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002126551,"about_ca_system_score_gemma":0.00001785295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002351746,"about_ca_topic_score_gemma":0.000001181826,"domain_scores_codex":[0.9993882,0.00001494455,0.0002589937,0.0001050869,0.0001353747,0.00009737703],"domain_scores_gemma":[0.9995018,0.00007048084,0.0001512611,0.0001285508,0.0001128275,0.00003509295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004619984,0.000006278629,0.0004591117,0.000009186522,0.000007857961,6.57753e-8,0.00200361,0.0001510428,0.007711827,0.02688805,0.003390125,0.9593682],"study_design_scores_gemma":[0.001131968,0.00008730388,0.003235566,0.00008224174,0.00001024537,0.000006866945,0.000238402,0.9191775,0.006983384,0.0007264136,0.06809527,0.0002248078],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07354335,0.00001607054,0.9237882,0.001762262,0.0003053795,0.0001224099,0.00000281045,0.0000599998,0.0003995341],"genre_scores_gemma":[0.8698778,0.00004978351,0.1291181,0.0004837889,0.0001676035,0.00002895671,0.0001279617,0.000004130828,0.0001418878],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9591434,"threshold_uncertainty_score":0.1915894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967303705003585,"score_gpt":0.2670219949253554,"score_spread":0.2373489578753196,"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."}}