{"id":"W1495994380","doi":"","title":"A life cycle design method based on green feature","year":2012,"lang":"en","type":"article","venue":"Electronics Goes Green","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Feature (linguistics); Process (computing); Sustainable design; Focus (optics); Engineering design process; Life-cycle assessment; Engineering; Computer science; Design process; Systems engineering; Artificial intelligence; Work in process; Production (economics); Mechanical engineering; Operations management","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002611349,0.000384516,0.000335789,0.0003636354,0.0002881367,0.0001860717,0.0004655412,0.0001874701,0.0006032001],"category_scores_gemma":[0.0004105074,0.0003521241,0.0001603854,0.0008406758,0.00003651096,0.001157015,0.00009686193,0.0005369037,0.001452691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635574,"about_ca_system_score_gemma":0.00013483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003763048,"about_ca_topic_score_gemma":0.00003091355,"domain_scores_codex":[0.9973168,0.0001827309,0.0003147234,0.0005075615,0.0006405246,0.001037633],"domain_scores_gemma":[0.9985066,0.0002845111,0.0002790482,0.0007026966,0.0001412408,0.00008587763],"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":[0.002014581,0.001993087,0.01767874,0.000729133,0.0006648248,0.00001999711,0.0003331084,0.01321971,0.003185265,0.1284352,0.7194594,0.112267],"study_design_scores_gemma":[0.00144306,0.0001708404,0.002595926,0.00004258947,0.0002802196,0.000004771295,0.00004138827,0.1337044,0.001536283,0.01318429,0.8459885,0.001007696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01912231,0.005470548,0.7502796,0.165591,0.003971738,0.004651496,0.00002123836,0.00396447,0.0469276],"genre_scores_gemma":[0.7746807,0.0000394983,0.02972418,0.1566846,0.0178485,0.0003786912,0.0002135445,0.0005211703,0.01990916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7555583,"threshold_uncertainty_score":0.9998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383831973626295,"score_gpt":0.2673150346134822,"score_spread":0.2334767148772192,"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."}}