{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003311815,0.0002738389,0.0003385527,0.003495226,0.0008559614,0.0009251354,0.0001904268,0.0003030046,0.001398791],"category_scores_gemma":[0.01072813,0.00008568574,0.0002508996,0.001749288,0.0003518571,0.0008467372,0.0006494611,0.0003622691,0.0004445503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004509384,"about_ca_system_score_gemma":0.000274309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009560575,"about_ca_topic_score_gemma":0.001508989,"domain_scores_codex":[0.9979929,0.0009316658,0.0001889443,0.0001944795,0.0005116315,0.0001803249],"domain_scores_gemma":[0.9863728,0.007988187,0.001985167,0.0002760758,0.002959279,0.0004185534],"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":[0.002207632,0.0004557323,0.3342931,0.002001528,0.0002205022,0.002207986,0.05380911,0.001538192,0.1823903,0.003952674,0.02874043,0.3881828],"study_design_scores_gemma":[0.00007616109,0.0007347006,0.803687,0.0005639233,0.0002048619,0.001417193,0.03760966,0.05241516,0.03716848,0.005417144,0.06054847,0.0001572207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834006,0.0003656118,0.006911651,0.0005919447,0.0001844312,0.0001864117,0.002513522,0.0001275206,0.005718272],"genre_scores_gemma":[0.9853695,0.0002272729,0.009963064,0.0001475232,0.0002694447,0.0001751702,0.002043502,0.00004698126,0.001757508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003495226,"threshold_uncertainty_score":0.01751477,"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."}}