{"id":"W2885050103","doi":"10.1111/jpim.12466","title":"Doing Design Thinking: Conceptual Review, Synthesis, and Research Agenda","year":2018,"lang":"en","type":"article","venue":"Journal of Product Innovation Management","topic":"Design Education and Practice","field":"Engineering","cited_by":676,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"University of Cambridge; Samsung; British Academy","keywords":"Construct (python library); CLARITY; Design thinking; Identification (biology); Multidisciplinary approach; Polysemy; Management science; Computer science; Principal (computer security); Card sorting; Engineering ethics; Data science; Knowledge management; Sociology; Artificial intelligence; Management; Social science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007461962,0.00008349468,0.0001331673,0.0003757954,0.0001215191,0.00008158765,0.0001715209,0.00001984762,0.000196241],"category_scores_gemma":[0.0006282277,0.00006772974,0.00001476141,0.001214308,0.00006561528,0.000407902,0.00003464543,0.000257397,0.0000357575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007436566,"about_ca_system_score_gemma":0.00003222049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.17473e-7,"about_ca_topic_score_gemma":1.363854e-7,"domain_scores_codex":[0.9985643,0.0002112139,0.0004961414,0.0001109979,0.0004637215,0.0001536056],"domain_scores_gemma":[0.9985025,0.0001955322,0.0001889198,0.0001549392,0.0009298747,0.00002821301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004196903,0.00007034394,0.00003228729,0.0007565929,0.0002303222,0.00001832922,0.00139919,0.0001629975,0.007970752,0.0364581,0.6272489,0.3256103],"study_design_scores_gemma":[0.0001088542,0.00007362602,0.0004085486,0.0005798808,0.00004375563,0.00004271053,0.0004926683,0.00005737806,0.01112345,0.0007651279,0.986203,0.0001010627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0416098,0.05510395,0.667355,0.06507661,0.008865774,0.004492735,0.000005009794,0.0004312815,0.1570598],"genre_scores_gemma":[0.8013023,0.01724087,0.17548,0.002507444,0.002107618,0.00004006229,0.000003501898,0.00003941433,0.001278834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7596925,"threshold_uncertainty_score":0.2761939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327270948559863,"score_gpt":0.3791089796604313,"score_spread":0.246381884804445,"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."}}