{"id":"W2639456997","doi":"10.7577/formakademisk.1458","title":"The Many Faces of Design","year":2017,"lang":"en","type":"article","venue":"FormAkademisk - forskningstidsskrift for design og designdidaktikk","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Agency (philosophy); Diversity (politics); Complex adaptive system; Interpretation (philosophy); Sustainability; Scale (ratio); Epistemology; Engineering ethics; Management science; Sociology; Computer science; Architectural engineering; Knowledge management; Engineering; Social science; Artificial intelligence; Ecology; Geography","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":[0.02521238,0.001446077,0.001375515,0.002718552,0.01241691,0.02434294,0.003054305,0.008095548,0.01723772],"category_scores_gemma":[0.03144244,0.0009067536,0.000980166,0.002446753,0.05938434,0.02597995,0.01466879,0.01175778,0.003636536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007401945,"about_ca_system_score_gemma":0.005809177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002563464,"about_ca_topic_score_gemma":0.002935069,"domain_scores_codex":[0.961452,0.02189481,0.001140608,0.003164469,0.01043775,0.001910355],"domain_scores_gemma":[0.974731,0.01627604,0.0007341852,0.004253089,0.002672151,0.00133354],"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":[0.00001965546,0.00001458828,0.0002646236,0.0001706134,0.00001286791,0.0000600466,0.006180185,0.0002735859,0.00009323919,0.9495595,0.01484362,0.02850761],"study_design_scores_gemma":[0.00001198249,0.00001753635,0.0001623844,0.0003748537,0.00000855436,0.0001728842,0.009255395,0.0005215455,0.0001022607,0.7346359,0.2547119,0.00002483363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01183074,0.04190485,0.1156628,0.3896821,0.005601465,0.0001446181,0.0001736953,0.0003784538,0.4346212],"genre_scores_gemma":[0.7177048,0.03715744,0.08122527,0.05258379,0.006257949,0.001121686,0.0002401879,0.0005811498,0.1031277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02521238,"threshold_uncertainty_score":0.1333374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2717182266514984,"score_gpt":0.4191974053343824,"score_spread":0.1474791786828841,"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."}}