{"id":"W4415965431","doi":"10.1115/1.4070315","title":"Evaluation of General Product Adaptability for Adaptable Product Design","year":2025,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptability; Product design; Adaptation (eye); Product (mathematics); Product design specification; Product engineering; New product development; Design review (U.S. government)","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":[0.01674797,0.0001670042,0.0003928277,0.0003229599,0.0001124631,0.00008069089,0.0003244499,0.00006149177,0.00008799879],"category_scores_gemma":[0.005213059,0.0001370027,0.0001339904,0.0006598482,0.00002540923,0.0009089342,0.00005750291,0.0001352468,0.00000500958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351791,"about_ca_system_score_gemma":0.0006615449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001067251,"about_ca_topic_score_gemma":0.000002302241,"domain_scores_codex":[0.9975652,0.0001965106,0.0008574877,0.0002870599,0.00086481,0.0002289471],"domain_scores_gemma":[0.9953049,0.0001261101,0.0007659136,0.0002541123,0.003533811,0.00001516492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005333585,0.001844228,0.0004394432,0.001050599,0.000955355,0.000004215768,0.0001032969,0.102807,0.2418384,0.06682601,0.1441007,0.4346972],"study_design_scores_gemma":[0.005325847,0.0002234367,0.002046983,0.0003279424,0.002185829,0.000007967471,0.00009101494,0.4137701,0.2841826,0.2779531,0.01336611,0.0005190761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01501591,0.0008376666,0.9779168,0.002074471,0.001568068,0.001955546,8.423971e-7,0.00003027738,0.0006004014],"genre_scores_gemma":[0.907204,0.00002084563,0.09076842,0.0002006398,0.001353748,0.00006039574,0.00000503072,0.00002187919,0.0003650204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8921881,"threshold_uncertainty_score":0.6240896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09097889406850306,"score_gpt":0.2915850447063478,"score_spread":0.2006061506378448,"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."}}