{"id":"W2134077729","doi":"10.24908/pceea.v0i0.3988","title":"POSTPONING PRODUCT RETIREMENT THROUGH ENGINEERING DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","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":"Scope (computer science); Product (mathematics); Production (economics); Service (business); Product-service system; Product lifecycle; Business; Product design; Service life; Supply chain; Risk analysis (engineering); New product development; Operations management; Engineering; Computer science; Reliability engineering; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006358374,0.0001858458,0.0001542697,0.0003325798,0.0002005937,0.0001654058,0.0003485259,0.00008630344,0.00007355979],"category_scores_gemma":[0.001323392,0.0001842867,0.00006129667,0.0008689801,0.000009596368,0.001102424,0.00004950288,0.0001649794,0.00003602956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299131,"about_ca_system_score_gemma":0.0003750755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007348274,"about_ca_topic_score_gemma":0.0005787272,"domain_scores_codex":[0.9987528,0.000002256627,0.0003139454,0.0002503117,0.0003293694,0.0003512955],"domain_scores_gemma":[0.9987034,0.00001250861,0.0004206277,0.0001155034,0.0007147903,0.00003321972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000560012,0.0004243584,0.3682436,0.002651046,0.0006687624,8.967002e-7,0.01110073,0.009815667,0.02584366,0.3334754,0.2426923,0.005027602],"study_design_scores_gemma":[0.00107007,0.00003011472,0.6067618,0.001204609,0.0004829155,0.000007091858,0.001087344,0.02522527,0.05215082,0.003459902,0.3061765,0.002343562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.785821,0.0007465802,0.002028986,0.01915758,0.02104958,0.005678285,0.0000138613,0.001662944,0.1638412],"genre_scores_gemma":[0.9909536,0.000005192935,0.006282871,0.0004476633,0.0007088154,0.00007221841,0.00001069419,0.0000497255,0.001469195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300155,"threshold_uncertainty_score":0.9992619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767417870112587,"score_gpt":0.1728380430514148,"score_spread":0.1551638643502889,"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."}}