{"id":"W4408338238","doi":"10.1016/j.procs.2025.02.240","title":"Task Generator 2.0: Integrating Interactive Technology with Personalized Task Generation","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"3v Geomatics (Canada)","funders":"","keywords":"Computer science; Task (project management); Generator (circuit theory); Human–computer interaction; Multimedia; Systems engineering; Power (physics)","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":[0.0006934166,0.0002948515,0.0003322407,0.001045285,0.0005756482,0.001010429,0.00191139,0.00009409706,0.000004772223],"category_scores_gemma":[0.000184102,0.0002447248,0.00005753305,0.004333707,0.0005396782,0.002374115,0.0007911284,0.0003416408,0.00004296675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854605,"about_ca_system_score_gemma":0.001166398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000232795,"about_ca_topic_score_gemma":0.00004871709,"domain_scores_codex":[0.9971477,0.00008280347,0.0003786503,0.001270544,0.0005953666,0.0005249039],"domain_scores_gemma":[0.997677,0.0001451391,0.0002418799,0.0006844286,0.001120251,0.0001313184],"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":[0.00003140411,0.0002578304,0.004071749,0.00007369322,0.00009743033,0.00004247493,0.00650714,0.0001379466,0.1545513,0.1141893,0.002306486,0.7177333],"study_design_scores_gemma":[0.001101788,0.0003459367,0.0006456282,0.0003291009,0.00001837551,0.0002509101,0.0002527737,0.9222962,0.06691636,0.002414957,0.004747806,0.0006801139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06316911,0.0001175786,0.9319339,0.001895516,0.001249358,0.0004629028,0.00000274692,0.0004939261,0.0006749553],"genre_scores_gemma":[0.8086224,0.000002733151,0.1900131,0.0009252126,0.0001936495,0.0001156898,0.000002483579,0.000008786278,0.0001159194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9221583,"threshold_uncertainty_score":0.9979586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309708990084671,"score_gpt":0.2565759540533312,"score_spread":0.2434788641524845,"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."}}