{"id":"W2021935240","doi":"10.1145/1188966.1189002","title":"Inspecting designs in the context of model-driven development","year":2006,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Context (archaeology); Context model; Systems engineering; Engineering; Artificial intelligence; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003193771,0.00009374791,0.000114554,0.0001008323,0.00003465767,0.00002950859,0.0007776899,0.00003715714,0.000001643049],"category_scores_gemma":[0.000003410382,0.0000683852,0.00002633225,0.0002567461,0.00001744332,0.0001672029,0.000117927,0.00009618159,0.000002742312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005694073,"about_ca_system_score_gemma":0.00005738072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000151627,"about_ca_topic_score_gemma":0.0001232473,"domain_scores_codex":[0.9991543,0.00002966438,0.0002645413,0.0001779629,0.0002069764,0.0001665648],"domain_scores_gemma":[0.9994957,0.00005750849,0.00005182106,0.0003360576,0.00004484536,0.00001399523],"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":[0.000001070536,0.00007106569,0.001815788,0.00001013438,0.000003555095,0.000005458174,0.003270315,0.05659807,0.001264735,0.9092239,0.0004749818,0.02726093],"study_design_scores_gemma":[0.0001428668,0.00002087246,0.002203953,0.00003078327,0.000001035785,0.000005718561,0.00002106527,0.9646282,0.02752438,0.003070767,0.002194049,0.0001562861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02847036,0.00001604784,0.9696173,0.0001066942,0.00001842875,0.0001498868,2.351469e-7,0.0002877162,0.001333338],"genre_scores_gemma":[0.5151672,5.684042e-7,0.4847348,0.00004685002,0.000004180765,0.0000158106,3.768485e-7,0.000003117615,0.00002706903],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9080302,"threshold_uncertainty_score":0.2788668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372671015959631,"score_gpt":0.2488152966869515,"score_spread":0.2115481950909884,"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."}}