{"id":"W2808259684","doi":"10.1145/3209635.3209651","title":"Teaching Computer Architecture Labs using a MCU Platform","year":2018,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Microcontroller; Architecture; Computer science; Curriculum; Face (sociological concept); Multimedia; Computer architecture; Embedded system; Software engineering; Human–computer interaction; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000567469,0.0005750933,0.0002473458,0.0004498312,0.0005398757,0.001121373,0.001053704,0.0006124653,0.01728514],"category_scores_gemma":[0.002399423,0.0002488941,0.0002227001,0.0002954575,0.0004054696,0.001130247,0.00132748,0.0007977134,0.004301962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059664,"about_ca_system_score_gemma":0.0009369909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003903684,"about_ca_topic_score_gemma":0.0006815416,"domain_scores_codex":[0.9994899,0.0001227863,0.00002626757,0.0001067551,0.0001816156,0.00007274556],"domain_scores_gemma":[0.9987066,0.0003827022,0.0001172566,0.0002551254,0.0001897241,0.0003485588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004993847,0.003663092,0.007852921,0.0006245922,0.00003188151,0.0007244026,0.002195906,0.008920711,0.3768806,0.01554049,0.007829404,0.5752366],"study_design_scores_gemma":[0.0006324268,0.01714452,0.03401656,0.0005564491,0.000149698,0.004704943,0.003095663,0.1377825,0.5312935,0.01862552,0.2517712,0.0002270959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4494547,0.0002406922,0.4879939,0.0009186735,0.0002156596,0.001970237,0.0001601429,0.006782946,0.05226306],"genre_scores_gemma":[0.6733094,0.0002710922,0.3063599,0.0002692997,0.00007086709,0.0007886138,0.0001341597,0.00023954,0.01855711],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01728514,"threshold_uncertainty_score":0.05782455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024998942871282,"score_gpt":0.2326327008096511,"score_spread":0.2223827113809382,"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."}}