{"id":"W2406432149","doi":"","title":"Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Representation (politics); Focus (optics); Class (philosophy); Domain (mathematical analysis); Conditional random field; Support vector machine; Data science; Natural language processing; Artificial intelligence; Information retrieval; World Wide Web; 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":[0.0008044245,0.00008514868,0.0001940409,0.0001356123,0.00008045816,0.000026733,0.000239183,0.00006438921,0.000003184608],"category_scores_gemma":[0.0006090438,0.00007201723,0.00002436361,0.0003907183,0.00003771088,0.0004704794,0.000447062,0.0002495726,0.000001454575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002814371,"about_ca_system_score_gemma":0.00004835476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004567431,"about_ca_topic_score_gemma":0.0003440347,"domain_scores_codex":[0.9987456,0.0002085404,0.0002183733,0.0002562959,0.0004446449,0.0001265374],"domain_scores_gemma":[0.9990518,0.0002643764,0.0001187504,0.0002928491,0.00008583834,0.0001863505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002712921,0.0003977312,0.9495851,0.000004088306,0.00003842533,0.0002275431,0.003120965,0.00002117872,0.0000145173,0.0008670769,0.00005308336,0.04566759],"study_design_scores_gemma":[0.006174556,0.006787606,0.4609197,0.0001098739,0.0003597518,0.001445112,0.02356905,0.4624039,0.00234499,0.03397958,0.0005914317,0.001314456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5527986,0.000006444434,0.4467821,0.0001258332,0.000008000724,0.00007872388,2.149722e-7,0.0001160595,0.00008409697],"genre_scores_gemma":[0.9373075,7.008105e-7,0.06238392,0.00001060894,0.00001648423,0.000004309972,0.000001178031,0.000004532977,0.0002707714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4886653,"threshold_uncertainty_score":0.2936777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08065363470453168,"score_gpt":0.390861903818522,"score_spread":0.3102082691139903,"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."}}