{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0183353,0.00122787,0.0006471743,0.003307081,0.001559401,0.007045598,0.003747319,0.002142105,0.004270462],"category_scores_gemma":[0.06327821,0.001404013,0.004208678,0.001500108,0.003077799,0.01245346,0.004845357,0.003909992,0.001231552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003003751,"about_ca_system_score_gemma":0.005951258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005218487,"about_ca_topic_score_gemma":0.004545117,"domain_scores_codex":[0.9795384,0.008307816,0.002388942,0.002079664,0.00681754,0.0008676879],"domain_scores_gemma":[0.9393812,0.02604654,0.007058112,0.01905172,0.007672644,0.0007897356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002930653,0.0002536242,0.01035717,0.00114354,0.0003773082,0.001047344,0.004790955,0.06284567,0.01604468,0.7863292,0.008666641,0.1078509],"study_design_scores_gemma":[0.0001170644,0.0005608624,0.001759163,0.001182765,0.0003845293,0.001318283,0.00184741,0.5219083,0.05518639,0.3251404,0.0903447,0.0002500999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008493951,0.00009150372,0.9834855,0.000672983,0.00008402381,0.0001709803,0.0001788841,0.002367762,0.004454397],"genre_scores_gemma":[0.1924239,0.0002004052,0.8025025,0.0003723544,0.00007455375,0.0004293161,0.0009076755,0.001227058,0.00186226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0183353,"threshold_uncertainty_score":0.09696746,"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."}}