{"id":"W2001587475","doi":"10.1145/2009916.2010006","title":"ILDA","year":2011,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Latent Dirichlet allocation; Computer science; Interdependence; Probabilistic logic; Set (abstract data type); Product (mathematics); Task (project management); Topic model; Sentiment analysis; Component (thermodynamics); The Internet; Artificial intelligence; Data science; Interpretation (philosophy); Information retrieval; Natural language processing; Machine learning; World Wide Web; Mathematics; Engineering","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":[0.002650907,0.00164884,0.001017395,0.003465537,0.001762243,0.00609983,0.003007713,0.002428487,0.2459895],"category_scores_gemma":[0.01038254,0.0009152444,0.001874777,0.003359475,0.000632923,0.006360932,0.005635225,0.002292398,0.3152943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396024,"about_ca_system_score_gemma":0.002178379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003621458,"about_ca_topic_score_gemma":0.005091664,"domain_scores_codex":[0.9964683,0.0006815991,0.0003418006,0.0009192733,0.001191378,0.0003977606],"domain_scores_gemma":[0.9955664,0.0007412248,0.0002170418,0.001774933,0.001335666,0.0003647188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000252983,0.0001202488,0.002073838,0.0006273858,0.00005975961,0.0002117705,0.0002204203,0.001261786,0.00237051,0.01820757,0.6651109,0.3094828],"study_design_scores_gemma":[0.00003087455,0.00003245264,0.0007762614,0.0001025761,0.0000198689,0.0002894095,0.0001055977,0.004109973,0.001341071,0.009239686,0.9839203,0.00003201756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006670188,0.004752877,0.2526715,0.005034859,0.003833041,0.001226866,0.09881213,0.1491715,0.477827],"genre_scores_gemma":[0.06375135,0.003963172,0.2091293,0.006384816,0.001389735,0.001881184,0.303612,0.02032731,0.3895612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7540106,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06601077421307201,"score_gpt":0.2262144582672276,"score_spread":0.1602036840541555,"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."}}