{"id":"W1977788175","doi":"10.1145/1277741.1277956","title":"Retrieval of discussions from enterprise mailing lists","year":2007,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Argumentative; Computer science; Task (project management); Context (archaeology); World Wide Web; Information retrieval; Subjectivity; Engineering; Linguistics","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":[0.001983874,0.001345703,0.001449565,0.01280564,0.001952193,0.003354435,0.0009386967,0.00172573,0.005418909],"category_scores_gemma":[0.01315819,0.0004883799,0.0009047303,0.007982065,0.0003399519,0.003853199,0.001831288,0.0008865087,0.005802573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008883228,"about_ca_system_score_gemma":0.001040349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010242,"about_ca_topic_score_gemma":0.00145423,"domain_scores_codex":[0.9977063,0.0005999249,0.0001877852,0.0002046836,0.001023985,0.0002772844],"domain_scores_gemma":[0.9940144,0.002712651,0.0007279195,0.0004605031,0.001841305,0.0002431999],"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":[0.001543737,0.0006337053,0.0102627,0.002437477,0.0003147314,0.002080307,0.006396161,0.002553606,0.07817537,0.007348304,0.07213489,0.816119],"study_design_scores_gemma":[0.000753352,0.002837522,0.08237404,0.001759466,0.001724444,0.004831469,0.02498387,0.1964276,0.2338289,0.0608362,0.3889644,0.0006788534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6821079,0.01686506,0.2082406,0.006438002,0.001495072,0.001714656,0.01589799,0.01175703,0.05548377],"genre_scores_gemma":[0.7936985,0.005897754,0.1370917,0.0006317698,0.002948163,0.0007553453,0.03047347,0.0006782879,0.02782495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280564,"threshold_uncertainty_score":0.01812804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423711228689862,"score_gpt":0.2759822884872022,"score_spread":0.2617451762003036,"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."}}