{"id":"W1509525110","doi":"10.1007/978-3-540-70569-7_28","title":"Task Model Refinement with Meta Operators","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Equivalence (formal languages); Task (project management); Model transformation; Transformation (genetics); Software engineering; Programming language; User interface; Relation (database); Data mining; Systems engineering; Artificial intelligence","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":[0.00412323,0.001379426,0.0008779927,0.001465977,0.0007115239,0.00180253,0.002594375,0.001028178,0.01079013],"category_scores_gemma":[0.01502644,0.001109505,0.002537909,0.0011937,0.001067465,0.004632435,0.003852961,0.002811244,0.003420829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007645008,"about_ca_system_score_gemma":0.00234842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005194816,"about_ca_topic_score_gemma":0.006592317,"domain_scores_codex":[0.9963773,0.001040238,0.0003361077,0.0007787382,0.001207289,0.0002603669],"domain_scores_gemma":[0.9938455,0.002104532,0.000234097,0.002645937,0.001044908,0.0001249313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009098351,0.0003726965,0.001870883,0.000932075,0.0002100619,0.0003265659,0.00213292,0.06071874,0.03277416,0.2158056,0.01919913,0.6647473],"study_design_scores_gemma":[0.0001488984,0.0002309935,0.0006911856,0.0003233944,0.0002705508,0.0003447726,0.0005505432,0.6006973,0.04653541,0.2780081,0.0721139,0.00008500103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00236734,0.00005012444,0.9923081,0.00007891054,0.0000356611,0.000110308,0.000157847,0.001760018,0.003131628],"genre_scores_gemma":[0.1038466,0.0001448196,0.8840616,0.0001238925,0.00002693436,0.000338195,0.00105217,0.001417963,0.00898781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01079013,"threshold_uncertainty_score":0.03609663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236297868629113,"score_gpt":0.2460049387594697,"score_spread":0.2036419600731786,"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."}}