{"id":"W1488127252","doi":"10.1109/etfa.2005.1612748","title":"Generative Programming for Programmable Logic Controllers","year":2006,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Programming language; Logic programming; Generative grammar; Programmable logic controller; Inductive programming; Artificial intelligence; Programming paradigm; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008659377,0.0005461755,0.0004035475,0.0005855639,0.0004820537,0.0012817,0.0008078569,0.00077008,0.004596468],"category_scores_gemma":[0.002445488,0.0004286849,0.001349655,0.0005210132,0.002525356,0.0009393494,0.001427494,0.001863564,0.0005437995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253375,"about_ca_system_score_gemma":0.0007045118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229689,"about_ca_topic_score_gemma":0.001404843,"domain_scores_codex":[0.9993519,0.0002122138,0.00003592013,0.0001368095,0.0002016929,0.00006142822],"domain_scores_gemma":[0.9989578,0.0007469257,0.00006794403,0.0001124534,0.00007428062,0.00004060205],"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":[0.00001144849,0.00001434707,0.0001338583,0.00005493348,0.00001323283,0.00008756806,0.000168916,0.05100146,0.001334782,0.9294437,0.000655876,0.01708007],"study_design_scores_gemma":[0.00001751525,0.00001570462,0.00005900469,0.0000258056,0.00001012793,0.00006957931,0.00002326811,0.1760784,0.0007650025,0.8140569,0.008868266,0.00001035533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006779871,0.0004243118,0.9815521,0.0002984236,0.0000327249,0.00003840302,0.00004302477,0.0003605166,0.01047062],"genre_scores_gemma":[0.3759051,0.001500868,0.6017702,0.0004747542,0.0001284184,0.0006174587,0.0003623248,0.0003890128,0.01885186],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004596468,"threshold_uncertainty_score":0.01537675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119445767438018,"score_gpt":0.2690495664781548,"score_spread":0.2378551088037746,"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."}}