{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001889309,0.001315866,0.0008561303,0.001333949,0.0007332014,0.002798394,0.002591504,0.001496357,0.08071102],"category_scores_gemma":[0.006210824,0.0004829984,0.001852167,0.001428078,0.0004117913,0.002774574,0.001927411,0.001125454,0.08275122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006479726,"about_ca_system_score_gemma":0.001376384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145275,"about_ca_topic_score_gemma":0.002184969,"domain_scores_codex":[0.9980156,0.0004636472,0.0001636507,0.0004916039,0.000685017,0.0001803633],"domain_scores_gemma":[0.9974451,0.0005111946,0.0001783923,0.0009339354,0.0008326048,0.00009884735],"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":[0.0005838735,0.0004038454,0.003309297,0.0007845119,0.0001597639,0.00030805,0.0002811064,0.0310559,0.007630882,0.06408467,0.2008951,0.6905029],"study_design_scores_gemma":[0.0001637306,0.0003736178,0.001584719,0.0001888318,0.0001201476,0.0006911601,0.0002384964,0.1913542,0.009012527,0.04094924,0.7552339,0.00008932738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01939404,0.00199792,0.6767505,0.001906796,0.001775398,0.0009921727,0.01290486,0.06074892,0.2235293],"genre_scores_gemma":[0.2252822,0.002733557,0.4786458,0.001932394,0.0008373207,0.001388941,0.04463604,0.005413741,0.23913],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.919289,"threshold_uncertainty_score":0,"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."}}