{"id":"W4309776812","doi":"10.1007/s43683-022-00093-0","title":"Understanding the Development of a Design Thinking Mindset During a Biomedical Engineering Third-Year Course","year":2022,"lang":"en","type":"article","venue":"Biomedical Engineering Education","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"College of Engineering, University of Canterbury","keywords":"Mindset; Curiosity; Psychology; Optimism; Experiential learning; Situational ethics; Design thinking; Medical education; Diversity (politics); Mindfulness; Pedagogy; Engineering; Social psychology; Computer science; Medicine; Psychotherapist; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007147833,0.0004363658,0.0002600547,0.0004907397,0.002539685,0.006054161,0.001150047,0.00146467,0.003942541],"category_scores_gemma":[0.01758371,0.0004387437,0.0004156735,0.0002068758,0.002475488,0.002198913,0.003395366,0.004605325,0.0006628822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004052981,"about_ca_system_score_gemma":0.00723868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003571037,"about_ca_topic_score_gemma":0.008237824,"domain_scores_codex":[0.997907,0.0009401995,0.00004935006,0.0002312634,0.0005332163,0.0003389948],"domain_scores_gemma":[0.9869552,0.005901116,0.001573195,0.0006693639,0.001550016,0.00335124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006774801,0.006026452,0.09700505,0.0004683236,0.00007107823,0.002500185,0.6171723,0.004996402,0.04707727,0.05909607,0.01010069,0.1548087],"study_design_scores_gemma":[0.0002381723,0.003380192,0.1434472,0.00167517,0.0001165022,0.002351045,0.5249573,0.02026049,0.02708372,0.1069397,0.1692019,0.0003486942],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576945,0.0001821815,0.01107235,0.002379697,0.00008191609,0.0001197455,0.00002273461,0.00007699063,0.02836981],"genre_scores_gemma":[0.9799243,0.0001345657,0.009333753,0.0007410328,0.000007582539,0.00007520479,0.0000554847,0.00002760715,0.009700366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007147833,"threshold_uncertainty_score":0.0378018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652229560930851,"score_gpt":0.224703770837067,"score_spread":0.1981814752277585,"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."}}