{"id":"W7115067142","doi":"10.31274/itaa.21908","title":"Using Archetypes in Design Sprints to Inspire Product Development","year":2025,"lang":"","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Toronto; Toronto Metropolitan University","funders":"","keywords":"New product development; Product (mathematics); Product design; Product lifecycle; Work (physics)","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":[0.006491823,0.0008630686,0.0003023568,0.001907468,0.001842925,0.004515555,0.001308155,0.001245857,0.009624367],"category_scores_gemma":[0.01625121,0.00075796,0.0007256161,0.0009186928,0.00306742,0.005855488,0.005839318,0.002894028,0.002427791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211587,"about_ca_system_score_gemma":0.002503058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000999296,"about_ca_topic_score_gemma":0.003558796,"domain_scores_codex":[0.9953313,0.002221979,0.0002019533,0.0003879523,0.001652222,0.0002044748],"domain_scores_gemma":[0.986989,0.005924283,0.0006284437,0.004323801,0.001621831,0.0005127289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002898418,0.000631731,0.004887022,0.0009588186,0.00005779362,0.000545961,0.02637,0.00874304,0.02294116,0.3669136,0.01201785,0.5556433],"study_design_scores_gemma":[0.0001492779,0.0009329233,0.004711415,0.00218805,0.0001175311,0.001647403,0.014281,0.04573604,0.04093166,0.4099478,0.4791812,0.0001757141],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07351509,0.0005097879,0.7758189,0.002872828,0.0002988195,0.0003301714,0.0001541958,0.003065803,0.1434344],"genre_scores_gemma":[0.2489578,0.0004499911,0.7190921,0.0004438939,0.00003292544,0.0002034979,0.0002633509,0.000731972,0.02982463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009624367,"threshold_uncertainty_score":0.03433245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258765650284263,"score_gpt":0.3588065845617466,"score_spread":0.2329300195333203,"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."}}