{"id":"W1488044967","doi":"10.1109/easic.1990.207976","title":"A framework for performance and knowledge-based control of basic designs","year":2002,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Control (management); Design knowledge; Process (computing); Quality (philosophy); Object (grammar); Expert system; Software engineering; Artificial intelligence; Programming language","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":[0.0001577146,0.00006375434,0.00009752039,0.00005768191,0.00004844042,0.00005629176,0.0003374886,0.00002315695,0.00003876413],"category_scores_gemma":[0.0000237277,0.00005208715,0.00002485673,0.0001462587,0.00002910124,0.0002951082,0.00004035601,0.00003140922,0.00001688885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004120951,"about_ca_system_score_gemma":0.000006672758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001024313,"about_ca_topic_score_gemma":5.993905e-7,"domain_scores_codex":[0.9995208,0.00001206096,0.0001024423,0.0001646791,0.00006579446,0.000134257],"domain_scores_gemma":[0.999463,0.0001756102,0.00003561339,0.0002571075,0.0000348089,0.00003382926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001190366,0.000203205,0.001697092,0.000167226,0.00002948186,9.1166e-7,0.0002202557,0.00005264783,0.00007901072,0.3420565,0.008841496,0.6466403],"study_design_scores_gemma":[0.0006963749,0.0001683972,0.0006049083,0.00002383995,0.000007309583,2.583541e-7,0.000004422579,0.9888268,0.000830717,0.001760052,0.006992244,0.00008474539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001343865,0.0001309674,0.9946467,0.0004248995,0.00008642324,0.0001997173,0.000003216614,0.00004929697,0.003114929],"genre_scores_gemma":[0.7480227,0.00001216076,0.2509856,0.000247012,0.00002522237,0.00001979309,6.639128e-7,0.000003048269,0.0006837698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9887741,"threshold_uncertainty_score":0.2124052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04736273604541713,"score_gpt":0.2582569875414832,"score_spread":0.2108942514960661,"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."}}