{"id":"W3192378062","doi":"10.1017/pds.2021.415","title":"EXTENDED TARGET WEIGHING APPROACH (ETWA): IMPACT AND RISK ANALYSIS OF LIGHTWEIGHT CONCEPTS IN THE PRODUCT-PRODUCTION SYSTEM-CO-DESIGN","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Design Society","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft; University of Cambridge","keywords":"Interdependence; Production (economics); Product (mathematics); Product design; Computer science; Component (thermodynamics); Systems engineering; Risk analysis (engineering); Systems design; Manufacturing engineering; Industrial engineering; Engineering; Business; Mathematics","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":[0.003507275,0.0002346245,0.0004597439,0.0001656439,0.0003150391,0.0001895797,0.0004121087,0.0000854445,0.00000972596],"category_scores_gemma":[0.0004277266,0.0001440155,0.0002780294,0.003290731,0.0001301234,0.000812075,0.0001238255,0.0002191971,0.000001120669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007796873,"about_ca_system_score_gemma":0.00007078024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004516167,"about_ca_topic_score_gemma":6.816193e-7,"domain_scores_codex":[0.9981716,0.00005267959,0.0004916017,0.0005162784,0.000503437,0.0002643745],"domain_scores_gemma":[0.9982618,0.00006087521,0.0008307747,0.000224047,0.0006122383,0.00001024761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006637878,0.001466625,0.6573846,0.00547267,0.008212953,0.00000225284,0.04094702,0.01551279,0.1863846,0.01436205,0.06499492,0.004595656],"study_design_scores_gemma":[0.002850928,0.00006513442,0.4049218,0.0006602275,0.009518937,0.00002761671,0.0509693,0.2249013,0.2959484,0.006525529,0.001848742,0.001762093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806314,0.001574533,0.01201644,0.0008678947,0.0003371677,0.001885354,0.000006530251,0.0001179023,0.002562815],"genre_scores_gemma":[0.9897264,0.0001398643,0.009519037,0.00006672623,0.0003577986,0.00004749258,0.00001784133,0.00002140005,0.0001034683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2524628,"threshold_uncertainty_score":0.5872781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174445650493906,"score_gpt":0.2357993699610221,"score_spread":0.2183548049116315,"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."}}