{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001416844,0.0001008564,0.0001218714,0.00007698999,0.0000739423,0.00005447026,0.0003853735,0.00003198031,0.00001181292],"category_scores_gemma":[0.00003309056,0.00009096665,0.00008390289,0.000217499,0.000006619486,0.0005184978,0.00006029215,0.00007113471,0.000007954834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007285502,"about_ca_system_score_gemma":0.00004487151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001413331,"about_ca_topic_score_gemma":0.00004880556,"domain_scores_codex":[0.9990963,0.00001927947,0.0001456999,0.0003065687,0.00009573425,0.0003363634],"domain_scores_gemma":[0.9994424,0.00003881574,0.00003565704,0.0003774007,0.00006701935,0.00003873054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002147793,0.00001386584,0.000009821189,0.000001581731,0.00001651873,4.773364e-7,0.00004794556,0.01279821,0.00279672,0.9750336,0.0001773755,0.009101765],"study_design_scores_gemma":[0.00009472555,0.0000589728,4.241138e-7,0.000003321177,0.000004552262,0.000002248242,0.00002019283,0.8310577,0.02666973,0.1364384,0.005512741,0.0001369175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006622465,0.00006345292,0.9949962,0.00007421618,0.00002196364,0.0001567297,1.604831e-7,0.0003690281,0.003656022],"genre_scores_gemma":[0.4202181,0.00001062851,0.5790281,0.000152705,0.000009038063,0.00003805868,2.891501e-7,0.000006721077,0.00053637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8385952,"threshold_uncertainty_score":0.3709512,"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."}}