{"id":"W1983286042","doi":"10.1145/1277741.1277845","title":"ARSA","year":2007,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":309,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Probabilistic latent semantic analysis; Computer science; Popularity; Sentiment analysis; Product (mathematics); Information retrieval; Feature selection; Topic model; Selection (genetic algorithm); Artificial intelligence; Data science; 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":[0.0002600364,0.00002361698,0.00003085771,0.0000481943,0.00002661178,0.00004158189,0.0001993704,0.00000894195,0.0001154495],"category_scores_gemma":[0.000003386782,0.00001844796,0.00002655882,0.000180021,0.000003724633,0.0001104423,0.00004811382,0.00001602919,0.0002060488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003976393,"about_ca_system_score_gemma":0.00000342383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004037554,"about_ca_topic_score_gemma":0.000002956605,"domain_scores_codex":[0.9996611,0.000002998139,0.00006858171,0.00008738926,0.00008843573,0.00009148546],"domain_scores_gemma":[0.9997782,0.00002185153,0.00001370038,0.0001441295,0.00001213031,0.00003000581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[7.298545e-7,0.00002701213,0.01281877,6.592276e-7,0.0000160289,0.00001044137,0.0002573005,0.0000087641,0.001278324,0.7836272,0.007875386,0.1940794],"study_design_scores_gemma":[0.0008913046,0.0001174008,0.214382,0.00001698065,0.00001453626,0.00002160194,0.0004381118,0.2016443,0.120464,0.01144288,0.4497892,0.0007776668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009856686,0.00002224169,0.8881043,0.0002865462,0.000107906,0.000007913911,6.257757e-9,0.00005558002,0.1015588],"genre_scores_gemma":[0.8772788,0.000001841579,0.1185097,0.0005830524,0.0000442695,1.476124e-7,2.775134e-7,0.000001064944,0.003580782],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8674222,"threshold_uncertainty_score":0.264841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136783936592515,"score_gpt":0.2656939327420778,"score_spread":0.2520155390828263,"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."}}