{"id":"W2073988376","doi":"10.1109/socialcom.2013.44","title":"A Structure for Opinion in Social Domains","year":2013,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sentiment analysis; Computer science; Natural language processing; Polarity (international relations); Sentence; Artificial intelligence; Subjectivity; Field (mathematics); Product (mathematics); Verb; Linguistics; Information retrieval; Mathematics","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":[0.00005925255,0.00004826943,0.0000772714,0.00007530639,0.0000648014,0.0001128931,0.0002294253,0.00003037293,0.0001741231],"category_scores_gemma":[0.000005170125,0.00003842363,0.00004715436,0.0001899403,0.000006468729,0.0002537016,0.00005422209,0.00002828642,0.00002045623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001225064,"about_ca_system_score_gemma":0.00001025722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002916789,"about_ca_topic_score_gemma":0.000009171576,"domain_scores_codex":[0.9995142,0.00001182042,0.0001094072,0.0001503728,0.00008333071,0.0001308711],"domain_scores_gemma":[0.9998047,0.00002557111,0.00002867594,0.00009517869,0.00002588819,0.00002000519],"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":[0.000003354297,0.00006094105,0.008822962,0.00001967427,0.00003807807,3.086443e-7,0.002343946,0.00006650848,0.004079245,0.7853985,0.1086186,0.09054781],"study_design_scores_gemma":[0.002742547,0.000122989,0.1133418,0.00002532913,0.0000067172,0.000002595261,0.0006561894,0.6966193,0.003397868,0.1361645,0.04625768,0.0006624311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1034284,0.00004980226,0.8849575,0.006256995,0.0008213574,0.0004502231,0.000001791797,0.00009822458,0.003935751],"genre_scores_gemma":[0.9174423,0.000002143889,0.08141212,0.000377662,0.00025469,0.00002266647,0.000007565109,0.000003640187,0.0004771879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.814014,"threshold_uncertainty_score":0.1906526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346407349104094,"score_gpt":0.2914543678795248,"score_spread":0.2679902943884839,"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."}}