{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005478994,0.00002330119,0.00003023598,0.00003006884,0.00002261781,0.00002257124,0.000245986,0.000007236045,0.0006133653],"category_scores_gemma":[0.000001665726,0.00001755859,0.00002571948,0.0001127987,0.000004119734,0.0001402324,0.00006056917,0.00001237041,0.0003554116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001663725,"about_ca_system_score_gemma":0.000003536779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001629043,"about_ca_topic_score_gemma":0.000001210859,"domain_scores_codex":[0.9997413,0.00000522735,0.00004953553,0.00008677114,0.00005610682,0.00006110043],"domain_scores_gemma":[0.9997857,0.000004283143,0.00001200915,0.0001653694,0.00001028225,0.00002233691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.259471e-7,0.00002613759,0.007515843,4.139215e-7,0.00001356595,0.000003060228,0.0008376864,5.144795e-7,0.0001664298,0.9578269,0.004864705,0.02874448],"study_design_scores_gemma":[0.001335954,0.0003335077,0.2122139,0.00002663667,0.00003924794,0.0000263377,0.0008175644,0.358214,0.2094097,0.06486326,0.1512291,0.001490804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007424591,0.00001889796,0.6836839,0.00009345349,0.0001286251,0.00001098161,1.322347e-8,0.00008155719,0.308558],"genre_scores_gemma":[0.8150416,0.000002530761,0.1814844,0.0003513724,0.00001723462,7.890669e-7,1.690194e-7,0.000001130925,0.003100786],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8929636,"threshold_uncertainty_score":0.6715921,"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."}}