{"id":"W4388684128","doi":"10.2139/ssrn.4633292","title":"Objective and Neutral Summarization of Customer Reviews","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Automatic summarization; Computer science; Business; Information retrieval","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":[0.002750263,0.0008031965,0.0008053845,0.003090043,0.0004489894,0.002520002,0.0004610643,0.0005731778,0.002175583],"category_scores_gemma":[0.01315584,0.0001875151,0.0006077561,0.001712275,0.0002218811,0.001510067,0.000645417,0.0006098025,0.001560295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004968783,"about_ca_system_score_gemma":0.0006248956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005847547,"about_ca_topic_score_gemma":0.001460626,"domain_scores_codex":[0.9973878,0.0008984445,0.0002934537,0.0003681471,0.0008788801,0.0001732209],"domain_scores_gemma":[0.9919377,0.002218136,0.001044799,0.0003781871,0.004211999,0.0002091015],"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":[0.002395262,0.0003161683,0.01835297,0.001310013,0.0005813465,0.000293112,0.0007717062,0.009836721,0.04860115,0.004520913,0.03215422,0.8808664],"study_design_scores_gemma":[0.0002097047,0.002186361,0.1165875,0.0004199682,0.001573324,0.0008904905,0.002262349,0.7235835,0.08299287,0.01938363,0.04965753,0.0002526533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5969224,0.006777737,0.3566872,0.002213018,0.001866208,0.0007122615,0.01061074,0.002760719,0.02144969],"genre_scores_gemma":[0.9024305,0.001256752,0.076544,0.0001362807,0.001588735,0.0002074425,0.009935566,0.000247526,0.00765326],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003090043,"threshold_uncertainty_score":0.01454496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854175732529179,"score_gpt":0.2886234722350265,"score_spread":0.2600817149097348,"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."}}