{"id":"W2402930379","doi":"","title":"Using i * Meta Modeling for Verifying i * Models.","year":2010,"lang":"en","type":"article","venue":"iStar","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Fagan inspection; Computer science; Metamodeling; Intentionality; Context (archaeology); Focus (optics); Software engineering; Epistemology","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":[0.0003706562,0.0002156387,0.0003373595,0.0002378676,0.0003802955,0.0003781031,0.0002716734,0.0001009269,0.00008016019],"category_scores_gemma":[0.00007113331,0.0001907658,0.0002800394,0.0003639667,0.00002807325,0.001465399,0.00008835225,0.0001893658,0.00001980581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000103909,"about_ca_system_score_gemma":0.00002842909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009645177,"about_ca_topic_score_gemma":0.000124026,"domain_scores_codex":[0.9987995,0.000002252684,0.0002855116,0.0003696107,0.0002070439,0.0003360814],"domain_scores_gemma":[0.9991261,0.00001701787,0.0001332669,0.0002954436,0.000413267,0.00001489844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003292712,0.00005687917,0.00008370438,0.0003225339,0.0003264856,0.000002313542,0.00003975656,0.959191,0.004990994,0.03251173,0.0001379443,0.002303694],"study_design_scores_gemma":[0.0002312141,9.705477e-7,5.050219e-7,0.00001235299,0.001142961,8.672575e-7,0.00005405043,0.9535118,0.00004442694,0.04120506,0.003546885,0.0002488456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2796951,0.000287463,0.7166891,0.000401239,0.0004331187,0.0001554622,0.000005234601,0.0002209894,0.002112313],"genre_scores_gemma":[0.977253,0.000004689011,0.0206174,0.0007089586,0.001220623,0.00003115958,0.00002740281,0.00005443686,0.00008231684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6975579,"threshold_uncertainty_score":0.7779202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1948049002304146,"score_gpt":0.2964103553749778,"score_spread":0.1016054551445632,"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."}}