{"id":"W4242769304","doi":"10.24908/pceea.vi0.13721","title":"AN INTEGRATIVE PROJECT IN MICROPROCESSOR INTERFACES","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Project-based learning; Competence (human resources); Autonomy; Mechatronics; Microprocessor; Computer science; Engineering management; Medical education; Mathematics education; Psychology; Engineering; Medicine; Artificial intelligence; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000256594,0.0001982965,0.0001992727,0.000464586,0.00003892213,0.00009274598,0.0003831108,0.0001515996,0.00002858785],"category_scores_gemma":[0.0002052307,0.0001942174,0.00004924996,0.0006742284,0.00001005684,0.0004263239,0.00001683165,0.0003896919,0.00001851965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002833713,"about_ca_system_score_gemma":0.0002473959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003726788,"about_ca_topic_score_gemma":0.003920627,"domain_scores_codex":[0.9989827,0.000005291457,0.0002819182,0.0001902451,0.0002105335,0.0003292966],"domain_scores_gemma":[0.9994777,0.00002844052,0.0001121208,0.0001118627,0.0001709556,0.00009885191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000702633,0.0001289144,0.3179954,0.001039524,0.0001606276,2.021329e-7,0.01537115,0.1501023,0.5029793,0.003759786,0.007030306,0.001425497],"study_design_scores_gemma":[0.001080293,0.00016942,0.2135449,0.00234793,0.0000613382,0.00001528154,0.01009225,0.2609108,0.4555963,0.0001560068,0.05408422,0.001941234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915487,0.0001695146,0.00001054831,0.0001414123,0.001248608,0.0004290896,0.000009555275,0.0001723948,0.00627016],"genre_scores_gemma":[0.9974478,0.000009721137,0.001485241,0.00003658014,0.00006808818,0.00007140715,0.000007056552,0.00006056469,0.0008135475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1108085,"threshold_uncertainty_score":0.7919956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002540488337405055,"score_gpt":0.2094165224550435,"score_spread":0.2068760341176385,"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."}}