{"id":"W3199739076","doi":"10.1007/978-3-030-82529-4_1","title":"Work-in Progress: Development of an E-learning FPGA Platform Following the IEEE SA Std. 1876 - 2019 Standard for Networked Smart Learning Objects for Online Laboratories","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Field-programmable gate array; Verilog; Computer science; VHDL; Embedded system; Multimedia; Computer architecture; Engineering management; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009515996,0.0006484568,0.001118395,0.0001844956,0.0002159062,0.0001861133,0.0002418863,0.0007010787,0.000003129916],"category_scores_gemma":[0.00009477659,0.0005694507,0.0001585784,0.0002408346,0.00005620603,0.0001266398,0.00006485348,0.001382143,1.993961e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003086257,"about_ca_system_score_gemma":0.00009910772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008363041,"about_ca_topic_score_gemma":0.0002511875,"domain_scores_codex":[0.9974887,0.00005575554,0.0009554122,0.0005094911,0.000319272,0.0006713902],"domain_scores_gemma":[0.9983397,0.0009283694,0.0002580886,0.0002791586,0.0001045294,0.00009018034],"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":[0.0001217119,0.000009646586,0.0005698141,0.0005988422,0.0002366062,0.00001265637,0.001748024,0.9656052,0.00005497658,0.00009909017,0.00003213568,0.03091131],"study_design_scores_gemma":[0.001925674,0.0003971602,0.00008605522,0.009941591,0.0001104661,0.00001208019,0.0006155315,0.8933636,0.0004456339,0.00006781654,0.09163058,0.001403844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0834608,0.2919218,0.603966,0.00003546844,0.01065436,0.007468469,0.00009523748,0.0009729271,0.001424959],"genre_scores_gemma":[0.9793009,0.0004141198,0.01671388,0.0000110965,0.001221361,0.0003951829,0.000619366,0.0004018235,0.0009222376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8958401,"threshold_uncertainty_score":0.9996757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114730224379027,"score_gpt":0.2350094217513082,"score_spread":0.2235363993134055,"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."}}