{"id":"W2043841099","doi":"10.1177/1063293x08096178","title":"Design for Product Adaptability","year":2008,"lang":"en","type":"article","venue":"Concurrent Engineering","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptability; Personalization; Product (mathematics); Systems engineering; Product design; Engineering; Manufacturing engineering; Computer science; Product design specification; World Wide Web","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":[0.000243034,0.0001318041,0.0001260362,0.0001018289,0.0001129483,0.00004165796,0.0001224772,0.00002266007,0.00003296868],"category_scores_gemma":[0.0002830792,0.0001310371,0.00003947217,0.0002321919,0.00001495075,0.0005520692,0.00003979864,0.00005534585,0.00005240567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002997801,"about_ca_system_score_gemma":0.00002526218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002464579,"about_ca_topic_score_gemma":2.448708e-7,"domain_scores_codex":[0.9992504,0.000002040311,0.0001718337,0.0002416286,0.0001100532,0.0002240292],"domain_scores_gemma":[0.9996526,0.00002488527,0.00005448481,0.0001367439,0.0001221766,0.0000091169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003925416,0.001040546,0.05980913,0.005764362,0.000444613,0.00003576254,0.001657392,0.3192813,0.04455623,0.09859335,0.1989162,0.2695087],"study_design_scores_gemma":[0.001617912,0.00001560047,0.01732459,0.00008153009,0.00006194312,0.000007749341,0.00002367828,0.3882252,0.007190971,0.0003448364,0.5841457,0.0009602307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1290291,0.0007008785,0.8643743,0.0003830012,0.002996451,0.001276658,0.000001337954,0.000685105,0.0005531547],"genre_scores_gemma":[0.9952692,0.000009641997,0.003146057,0.00005077761,0.001223137,0.0001134202,0.00003371227,0.0000242506,0.0001297592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8662402,"threshold_uncertainty_score":0.5343537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543806637231099,"score_gpt":0.2069050498090209,"score_spread":0.1614669834367099,"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."}}