{"id":"W4313577323","doi":"10.1080/09544828.2022.2161300","title":"Knowledge: the good, the bad, and the ways for designer creativity","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering Design","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Calgary","funders":"Natural Science Foundation of Tianjin Municipal Science and Technology Commission; Natural Sciences and Engineering Research Council of Canada; Frank McGraw Memorial Chair in Cancer Research; AstraZeneca","keywords":"Creativity; Chaotic; Process (computing); Engineering design process; Design process; Computer science; Management science; Engineering; Psychology; Artificial intelligence; Mechanical engineering; Work in process; Social psychology; Operations management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003316108,0.00008619514,0.0001316592,0.00005393152,0.0004536386,0.00005439941,0.0003941898,0.00001720191,0.0001124903],"category_scores_gemma":[0.0005272498,0.00003953501,0.0000874404,0.0002187736,0.0001321323,0.00005293379,0.00004445183,0.000337856,0.00000238872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003393155,"about_ca_system_score_gemma":0.00006169147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003474711,"about_ca_topic_score_gemma":3.893291e-7,"domain_scores_codex":[0.9990417,0.0003690256,0.0001935547,0.00009080054,0.0001514066,0.000153455],"domain_scores_gemma":[0.9955209,0.004036068,0.0001428484,0.0002056367,0.00005625577,0.00003829503],"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":[0.002490559,0.001365312,0.001077041,0.00004907266,0.0005466586,0.00003006689,0.08659236,0.1138339,0.02793583,0.4520904,0.2837385,0.03025023],"study_design_scores_gemma":[0.007592022,0.002121059,0.03000459,0.00004978607,0.0005049169,0.002904985,0.009937854,0.06808647,0.003097024,0.005586898,0.8694903,0.0006241277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04891803,0.004157837,0.9246016,0.01357405,0.005119693,0.001193549,0.00000953252,0.00003336677,0.002392385],"genre_scores_gemma":[0.9972053,0.00002821864,0.0007067087,0.0002880886,0.000249075,0.0001183755,1.057441e-7,0.00001333622,0.001390745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9482873,"threshold_uncertainty_score":0.3489068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06711482251609917,"score_gpt":0.3265125140020861,"score_spread":0.2593976914859869,"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."}}