{"id":"W2601055837","doi":"10.18260/1-2--14680","title":"Application Of Xpc Target As A Prototyping Environment In Control System Laboratories","year":2020,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Real-time simulation; Computer science; Rapid prototyping; Context (archaeology); Real-time Control System; MATLAB; Control system; Realization (probability); Control (management); Development environment; Code generation; Control engineering; Embedded system; Operating system; Software engineering; Engineering","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":[0.00005078538,0.00008686139,0.0001394272,0.00002546434,0.000008100345,0.000005842635,0.00006867333,0.00003739573,0.00002073129],"category_scores_gemma":[0.000009831879,0.00009308646,0.00001545121,0.0001153523,0.00000930615,0.0000581979,0.00001193504,0.00008621897,0.00006668753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009002982,"about_ca_system_score_gemma":0.000004362026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001154634,"about_ca_topic_score_gemma":2.128633e-7,"domain_scores_codex":[0.9995058,0.00001009551,0.0001861812,0.0001011536,0.00009003279,0.0001068018],"domain_scores_gemma":[0.9998295,0.00001431892,0.0000191669,0.00008941783,0.000005605609,0.00004198111],"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":[0.000009464859,0.000007492747,0.003301118,0.0003223668,0.00001613706,0.000001758576,0.000615275,0.7640575,0.2282778,0.003164739,0.00001039688,0.0002159628],"study_design_scores_gemma":[0.0003992261,0.0000413488,0.0005130443,0.00003668096,0.000003090981,8.57979e-7,0.0005811861,0.8591757,0.1319317,0.00000503573,0.007180305,0.0001317513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1480862,0.001359044,0.8380861,0.0001667964,0.0001072251,0.002078171,0.00001438582,0.001153816,0.008948243],"genre_scores_gemma":[0.9932811,0.000004355115,0.006375676,0.00001676325,0.00002919672,0.0002612684,0.000003389556,0.0000245839,0.000003624999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8451949,"threshold_uncertainty_score":0.3795956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002537025277401815,"score_gpt":0.1710623854180023,"score_spread":0.1685253601406004,"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."}}