{"id":"W137786571","doi":"10.1007/978-3-319-07983-7_16","title":"A Joint Topic Viewpoint Model for Contention Analysis","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Viewpoints; Joint (building); Cluster analysis; Artificial intelligence; Topic model; Task (project management); Machine learning; Natural language processing; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00128178,0.0004119526,0.0008431423,0.001566391,0.0002397293,0.0005509629,0.001771688,0.0002150046,0.00001986289],"category_scores_gemma":[0.00006521331,0.0003627134,0.0006748627,0.0008449305,0.0002008344,0.0002846915,0.0006272559,0.0003044675,0.00001737505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839314,"about_ca_system_score_gemma":0.0001792636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001014359,"about_ca_topic_score_gemma":0.00009770194,"domain_scores_codex":[0.9965431,0.00002685793,0.0007054541,0.001462908,0.0007562639,0.0005054348],"domain_scores_gemma":[0.9976389,0.0002117299,0.0004454864,0.001232791,0.0003328426,0.0001382431],"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":[0.000004071601,0.00002377193,0.00005821016,0.00004192617,0.0002093057,0.000004986106,0.0005604587,0.421511,0.0001408251,0.1131299,0.00004921983,0.4642664],"study_design_scores_gemma":[0.0002163943,0.00006665982,0.00005707439,0.0001028114,0.0001250196,0.000002533244,9.16816e-8,0.9236094,0.0002533836,0.07471162,0.0004684967,0.0003865609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003589458,0.0002194779,0.9969552,0.001077714,0.0006822594,0.0003408869,0.000003369141,0.00008151749,0.0006036887],"genre_scores_gemma":[0.1577621,0.00005103199,0.8357978,0.002928258,0.0004601934,0.00003199186,0.00003284833,0.00003016006,0.002905588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5020984,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04561638270394379,"score_gpt":0.2715272468529462,"score_spread":0.2259108641490024,"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."}}