{"id":"W1986494226","doi":"10.1109/services.2013.62","title":"PALTask Chat: A Personalized Automated Context Aware Web Resources Listing Tool","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Computer science; World Wide Web; Task (project management); The Internet; Context (archaeology); Listing (finance); Domain (mathematical analysis); User profile; Multimedia; Information retrieval; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002337329,0.0002238081,0.0003131305,0.0001789029,0.000208986,0.0004040475,0.001033685,0.00008599016,0.0004743546],"category_scores_gemma":[0.0001393021,0.0001826073,0.0001349715,0.0006312861,0.00009205042,0.0009777379,0.0003750216,0.0001493567,0.0004186668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006088256,"about_ca_system_score_gemma":0.00004555499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003125715,"about_ca_topic_score_gemma":0.0000516577,"domain_scores_codex":[0.99823,0.00009120731,0.0003647965,0.0005340701,0.0003661169,0.0004137506],"domain_scores_gemma":[0.9985998,0.0001717563,0.000170241,0.0006978422,0.0002481842,0.0001121405],"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":[0.0000222911,0.0003987517,0.007710375,0.0001327347,0.000399557,0.0001274988,0.01104001,0.0001101633,0.05365971,0.1923639,0.1509795,0.5830555],"study_design_scores_gemma":[0.0004309039,0.00006210888,0.001164971,0.00005732055,0.00001284823,0.000017444,0.000410593,0.9586843,0.003007433,0.002985411,0.03269514,0.00047157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1351569,0.0003090242,0.8376588,0.002695909,0.00009069707,0.0006534989,0.000003652413,0.01365579,0.009775722],"genre_scores_gemma":[0.8805217,0.00001178788,0.1143908,0.001185839,0.00004444272,0.00009874389,0.000003598364,0.00001681436,0.003726305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9585741,"threshold_uncertainty_score":0.7446511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204970316159229,"score_gpt":0.2599368146437869,"score_spread":0.2478871114821946,"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."}}