{"id":"W4389680844","doi":"10.1002/jee.20570","title":"Contextualization in engineering education: A scoping literature review","year":2023,"lang":"en","type":"article","venue":"Journal of Engineering Education","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Contextualization; Variety (cybernetics); Engineering education; Engineering ethics; Context (archaeology); Scope (computer science); Engineering; Pedagogy; Sociology; Computer science; Engineering management; Artificial intelligence","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":[0.0004185067,0.0002086169,0.0002933001,0.0009754637,0.00001797501,0.00005952242,0.000183198,0.00008913828,0.0000263965],"category_scores_gemma":[0.0003393693,0.0002221136,0.00008054665,0.00194966,0.00000404503,0.0003888037,0.00001259193,0.0003236657,0.00002665006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003036645,"about_ca_system_score_gemma":0.0004043729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.970946e-7,"about_ca_topic_score_gemma":7.980002e-7,"domain_scores_codex":[0.9987003,0.00001366924,0.0006879586,0.000120343,0.0002375483,0.0002401435],"domain_scores_gemma":[0.9992896,0.00005745172,0.000105027,0.0001697169,0.0002459483,0.0001323083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000007181032,0.0004290355,0.001592149,0.06308395,0.0001457701,0.00003022297,0.004473954,0.7264903,0.00763707,0.004157097,0.1489408,0.04301241],"study_design_scores_gemma":[0.001515017,0.0001528267,0.05967519,0.6376857,0.0001782651,0.001297646,0.001215847,0.1362441,0.0035415,0.0001507585,0.1555761,0.002767159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3199197,0.5816702,0.03218612,0.003636641,0.05431653,0.002692371,0.00001199307,0.002551917,0.003014565],"genre_scores_gemma":[0.835007,0.1442998,0.01524544,0.0006921795,0.002639633,0.000441316,0.0002416137,0.000307928,0.0011251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5902463,"threshold_uncertainty_score":0.9057531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006998629386845865,"score_gpt":0.2614698235996699,"score_spread":0.254471194212824,"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."}}