{"id":"W2887021232","doi":"10.24908/pceea.v0i0.10392","title":"VALUE OF LANGUAGE BACKGROUND ON IDEA GENERATION SESSIONS IN FIRST-YEAR ENGINEERING DESIGN TEAMS","year":2018,"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":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multilingualism; Diversity (politics); Teamwork; Value (mathematics); Race (biology); Psychology; Sociology; Knowledge management; Political science; Pedagogy; Computer science; Gender studies","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01483993,0.0003019077,0.0003244037,0.00108396,0.003211194,0.005642971,0.001221334,0.0008423614,0.01008502],"category_scores_gemma":[0.0772704,0.0003223876,0.000362626,0.0005355197,0.001973452,0.001432209,0.005035284,0.002060789,0.001087994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003207573,"about_ca_system_score_gemma":0.002908532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003271528,"about_ca_topic_score_gemma":0.005530922,"domain_scores_codex":[0.979772,0.01507299,0.0006810791,0.0008116848,0.002147234,0.00151508],"domain_scores_gemma":[0.8663519,0.1002053,0.01054069,0.002728671,0.008060263,0.0121132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.004579957,0.00524717,0.2437244,0.0006642514,0.0001065385,0.00226398,0.5809476,0.001219127,0.01423358,0.00353476,0.002247286,0.1412313],"study_design_scores_gemma":[0.0004686046,0.005429036,0.4011216,0.0009352855,0.000146497,0.0009168246,0.5406293,0.003638154,0.01017369,0.004117788,0.03217152,0.0002516581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931878,0.0000563083,0.0004298914,0.0002398359,0.00002365409,0.0000332812,0.00001945059,0.00001806019,0.005991696],"genre_scores_gemma":[0.9981048,0.00003665734,0.000385846,0.00007315903,0.000009340834,0.00003361198,0.00002430103,0.00001125002,0.001320915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01483993,"threshold_uncertainty_score":0.07848197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246397699807888,"score_gpt":0.2333247243009375,"score_spread":0.2208607473028586,"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."}}