{"id":"W2035595087","doi":"10.1109/vecims.2012.6273227","title":"A task ontology model for domain independent dialogue management","year":2012,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Ontology; Task (project management); Domain (mathematical analysis); Domain model; Human–computer interaction; Situated; Knowledge management; Reuse; Ticket; Software engineering; Artificial intelligence; Domain knowledge; Systems 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":[0.002794947,0.0006517441,0.0005536257,0.001265007,0.001367933,0.002724273,0.001540657,0.001522756,0.002197667],"category_scores_gemma":[0.004151849,0.0005326929,0.002026778,0.00100666,0.001207208,0.005396524,0.002306798,0.002393288,0.001168426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683565,"about_ca_system_score_gemma":0.004605467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009891168,"about_ca_topic_score_gemma":0.00968661,"domain_scores_codex":[0.9973224,0.0008279639,0.0004094466,0.0004069427,0.0007904428,0.0002427394],"domain_scores_gemma":[0.9980687,0.0006121134,0.0001970904,0.0004344099,0.0004963634,0.0001912701],"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":[0.0001902993,0.0003432672,0.002463113,0.0006141809,0.0001396616,0.000628033,0.006467259,0.04576158,0.01411452,0.7456154,0.01522188,0.1684407],"study_design_scores_gemma":[0.0001057273,0.0001673404,0.001793981,0.0003185433,0.0002405183,0.000957448,0.001628224,0.4262412,0.008661713,0.2653915,0.2943355,0.0001583371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005216579,0.0001590333,0.9853351,0.0005569511,0.00008909997,0.0002408998,0.0003840735,0.0006008759,0.007417387],"genre_scores_gemma":[0.141224,0.0005313171,0.8472658,0.0003860467,0.00008479714,0.0008868178,0.002021902,0.0002513717,0.007347933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009891168,"threshold_uncertainty_score":0.01966721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541018746537699,"score_gpt":0.2538948497064011,"score_spread":0.2284846622410241,"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."}}