{"id":"W2184821933","doi":"10.1007/s10115-015-0888-6","title":"Mining contentious documents","year":2015,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; Natural language processing; Data science","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":[0.0003459912,0.00005646828,0.00008449783,0.0000842706,0.00004982697,0.0003092263,0.0001708204,0.00003259332,5.016865e-7],"category_scores_gemma":[0.00002887569,0.00004897466,0.00001220776,0.00009699155,0.0000073136,0.003664911,0.0000963995,0.00003024506,0.0002106323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002878322,"about_ca_system_score_gemma":0.00004029515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002432465,"about_ca_topic_score_gemma":0.000001018791,"domain_scores_codex":[0.9994255,0.00002546876,0.000254008,0.00006841917,0.0001242766,0.0001022777],"domain_scores_gemma":[0.9994683,0.00001336916,0.00007888207,0.0001687063,0.0001791655,0.00009153503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000808721,0.00003714875,0.005972457,0.0002858748,0.00004805929,0.000002829571,0.08020534,0.0006084766,0.00003514063,0.5921069,0.03481853,0.2858711],"study_design_scores_gemma":[0.0006998921,0.00003555194,0.0001641404,0.00004596924,0.000002188608,0.00003589704,0.001371369,0.4976029,0.00003332815,0.000118593,0.4997685,0.0001216287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0281995,0.001282504,0.7689149,0.00009112901,0.00214662,0.0002175939,9.216948e-7,0.0001799903,0.1989668],"genre_scores_gemma":[0.9976016,0.000007321926,0.001368603,0.00007256801,0.00006382887,0.0000135587,0.000003300285,0.000001502595,0.000867772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.969402,"threshold_uncertainty_score":0.2981877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0373270025936249,"score_gpt":0.2637436142519596,"score_spread":0.2264166116583347,"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."}}