{"id":"W1953616297","doi":"10.24908/pceea.v0i0.5758","title":"ENCOURAGING EMPATHY IN ENGINEERING DESIGN","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Empathy; Engineering design process; Creativity; Generative grammar; Experiential learning; Perception; Merge (version control); Computer science; Knowledge management; Engineering; Psychology; Engineering ethics; Social psychology; Mathematics education; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01756394,0.001184391,0.0005131395,0.001532816,0.00677539,0.01010159,0.001417324,0.004977547,0.007820047],"category_scores_gemma":[0.02698397,0.001041437,0.001014225,0.0008960284,0.01348199,0.009370393,0.0164137,0.006750135,0.002288253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003135746,"about_ca_system_score_gemma":0.003284439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004810422,"about_ca_topic_score_gemma":0.000638299,"domain_scores_codex":[0.952091,0.03859323,0.001189981,0.001738717,0.004822197,0.001564805],"domain_scores_gemma":[0.9771086,0.01584629,0.001680322,0.001990714,0.001700209,0.001673784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001787125,0.000654872,0.004076608,0.002782323,0.0001271067,0.001801105,0.1985737,0.003686215,0.0134865,0.4107172,0.0419168,0.3219989],"study_design_scores_gemma":[0.0000963433,0.0006492498,0.002632443,0.002534883,0.00007751441,0.003220146,0.03550866,0.00328102,0.006350677,0.1623387,0.7831371,0.0001730853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.106271,0.024301,0.2886099,0.08257559,0.00258758,0.0006444772,0.00004112523,0.001068215,0.4939012],"genre_scores_gemma":[0.8024861,0.00964612,0.1209534,0.02155737,0.0004791636,0.0007579356,0.00003950161,0.000321641,0.04375874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01756394,"threshold_uncertainty_score":0.09288812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536800325564701,"score_gpt":0.2106698085192265,"score_spread":0.1953018052635795,"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."}}