{"id":"W1775079876","doi":"10.24908/pceea.v0i0.5942","title":"INTEGRATING HUMAN FACTOR CONSIDERATIONS INTO CAPSTONE DESIGN PROJECTS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Capstone; Usability; Engineering; Process (computing); Engineering design process; Work (physics); Systems engineering; Factor (programming language); Engineering management; Computer science; Software engineering; Management science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02577718,0.001746607,0.0004476473,0.004187903,0.00529418,0.00813384,0.001914617,0.001367431,0.006245889],"category_scores_gemma":[0.03761877,0.001173194,0.0005155035,0.001698504,0.004200784,0.003447623,0.005272901,0.001522647,0.0007989872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005447282,"about_ca_system_score_gemma":0.007920743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005871981,"about_ca_topic_score_gemma":0.01560404,"domain_scores_codex":[0.9641095,0.02539551,0.001160903,0.001254976,0.006180943,0.001898109],"domain_scores_gemma":[0.9608436,0.02481133,0.002333928,0.002567697,0.006512618,0.002930865],"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":[0.000665472,0.00161722,0.0357376,0.00359143,0.0001744237,0.003099572,0.1313112,0.02474674,0.01987528,0.04033228,0.01159476,0.7272539],"study_design_scores_gemma":[0.0002291735,0.005187806,0.04989087,0.005101836,0.0004278259,0.00379804,0.1784316,0.04087081,0.03575238,0.06311452,0.616601,0.000594066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4538388,0.003447122,0.4053127,0.004938227,0.0003944676,0.002776887,0.0001115393,0.001218859,0.1279614],"genre_scores_gemma":[0.7790124,0.001511549,0.2047314,0.0003213838,0.00007137875,0.0008252162,0.00008515563,0.0002376885,0.01320384],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02577718,"threshold_uncertainty_score":0.1363243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492334149342612,"score_gpt":0.2542207745856877,"score_spread":0.2192974330922616,"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."}}