{"id":"W2106900819","doi":"10.1109/hicss.2002.994040","title":"Adaptive user modeling for filtering electronic news","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Newspaper; Artificial neural network; User modeling; Task (project management); Quality (philosophy); User profile; Adaptive system; Test (biology); Information retrieval; Multimedia; Artificial intelligence; World Wide Web; User interface; Advertising; Engineering","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":[0.00295561,0.0006917208,0.0007912363,0.0006985845,0.0003734895,0.000998821,0.001075563,0.001013695,0.002754419],"category_scores_gemma":[0.0105812,0.0004028149,0.0005751482,0.0004213802,0.0003233002,0.001334783,0.0006165451,0.0009431635,0.001337816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611257,"about_ca_system_score_gemma":0.0005121036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006358136,"about_ca_topic_score_gemma":0.007049703,"domain_scores_codex":[0.998428,0.00083923,0.00009626093,0.0002825102,0.0002720681,0.00008195692],"domain_scores_gemma":[0.9940499,0.004167335,0.0002694097,0.0005066422,0.0008633288,0.0001435652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003445451,0.001691259,0.02609182,0.0005280719,0.0003163473,0.0005904624,0.004503584,0.173317,0.05566655,0.007390489,0.00919453,0.7172645],"study_design_scores_gemma":[0.00004558478,0.0002492314,0.002662806,0.00001509864,0.00004196416,0.0001392528,0.0001428541,0.9850344,0.007025621,0.002328794,0.002278014,0.00003640857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1487294,0.0001563087,0.8404304,0.000263537,0.00004190248,0.0004147659,0.0002616361,0.007321619,0.002380521],"genre_scores_gemma":[0.7363641,0.0001275864,0.2578071,0.0001692382,0.00002972675,0.0004803162,0.0005596742,0.0001514987,0.004310705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006358136,"threshold_uncertainty_score":0.01563096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681273662499777,"score_gpt":0.2801190959813616,"score_spread":0.2533063593563639,"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."}}