{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001911061,0.001490908,0.0005050453,0.0009739102,0.0002292388,0.001192008,0.002041556,0.0009509809,0.006828558],"category_scores_gemma":[0.006695039,0.0005352453,0.0006165674,0.0003146674,0.0004444655,0.001235833,0.002125466,0.001052036,0.00263999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312281,"about_ca_system_score_gemma":0.0008043668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010922,"about_ca_topic_score_gemma":0.00144941,"domain_scores_codex":[0.9989865,0.0003494135,0.00008524208,0.0002576866,0.0002271527,0.00009401485],"domain_scores_gemma":[0.9980008,0.001173317,0.00009831428,0.0003589057,0.0001819961,0.000186658],"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":[0.003656174,0.002678202,0.009708664,0.00131856,0.0003850111,0.001193399,0.001931103,0.02095376,0.08473238,0.006114889,0.03440722,0.8329207],"study_design_scores_gemma":[0.002090554,0.005033379,0.0218506,0.0004031864,0.0004770504,0.003369811,0.0003827414,0.6279403,0.1712583,0.03185523,0.1346794,0.0006594801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06838261,0.0003998311,0.810038,0.0004273685,0.0002518821,0.002926068,0.001208724,0.1088048,0.007560738],"genre_scores_gemma":[0.2506389,0.0002898286,0.7318645,0.0004987234,0.0001012933,0.003060299,0.002084882,0.004123529,0.007338037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006828558,"threshold_uncertainty_score":0.02284378,"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."}}