{"id":"W2250473310","doi":"","title":"Can I Hear You? Sentiment Analysis on Medical Forums","year":2013,"lang":"en","type":"article","venue":"International Joint Conference on Natural Language Processing","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lexicon; Sentiment analysis; Computer science; Annotation; Natural language processing; World Wide Web; Information retrieval; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002660472,0.0002168559,0.0002795334,0.0005839961,0.0001407142,0.0007994032,0.0009074301,0.00007875854,0.001634636],"category_scores_gemma":[0.0001123829,0.0001661975,0.00022008,0.0005942869,0.00004307992,0.0004474833,0.0002116542,0.000333792,0.0002190846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096459,"about_ca_system_score_gemma":0.0001003035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002131381,"about_ca_topic_score_gemma":0.0000380582,"domain_scores_codex":[0.9972971,0.00005544717,0.000398249,0.0005560516,0.001377581,0.0003155847],"domain_scores_gemma":[0.9989567,0.00005159233,0.0002149867,0.0003074705,0.0003001091,0.0001690824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002584226,0.0003948663,0.002774015,0.00002322462,0.001218422,0.0001721993,0.004047784,0.0003516996,0.004753514,0.05357015,0.001396994,0.9312713],"study_design_scores_gemma":[0.0003920713,0.00006090916,0.00473635,0.0001961566,0.00004883133,0.00001169614,0.0005864304,0.9887557,0.004053584,0.0005944218,0.000235247,0.000328621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6260839,0.001849562,0.1692197,0.1588832,0.00360686,0.0008854177,0.00002547229,0.0009467314,0.03849921],"genre_scores_gemma":[0.991815,0.000009622854,0.003702267,0.002551963,0.0001609435,0.00002085566,0.0000526361,0.00000857098,0.001678145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.988404,"threshold_uncertainty_score":0.999278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899128694098449,"score_gpt":0.2948058488755669,"score_spread":0.2758145619345824,"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."}}