{"id":"W2088812951","doi":"10.1504/ijbcrm.2011.042299","title":"A new sustainability model for machining processes","year":2011,"lang":"en","type":"article","venue":"International Journal of Business Continuity and Risk Management","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Sustainability; Machining; Process (computing); Productivity; Manufacturing engineering; Engineering; Fuzzy logic; Mechanical engineering; Risk analysis (engineering); Computer science; Business; Artificial intelligence","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":[0.0001779173,0.00009240484,0.0001250872,0.0001194325,0.00004091356,0.00004891301,0.0001801436,0.00002618185,0.000006991062],"category_scores_gemma":[0.0001157716,0.0000803926,0.0000321532,0.00008996665,0.00001601892,0.0003734338,0.00004379678,0.00007651464,1.579924e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004412285,"about_ca_system_score_gemma":0.00004151062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001683192,"about_ca_topic_score_gemma":0.00002517531,"domain_scores_codex":[0.9994092,0.00000497454,0.0002615418,0.00008515712,0.000141461,0.00009766688],"domain_scores_gemma":[0.9988911,0.00002647626,0.0001673239,0.00004932302,0.0008219568,0.00004383674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002261924,0.00004235492,0.00265018,0.0003971254,0.0002458744,0.00001067984,0.001754136,0.6374744,0.000001710296,0.003828072,0.000177751,0.3531915],"study_design_scores_gemma":[0.002859715,0.00007119963,0.01510495,0.0002883491,0.0002835163,0.00003655811,0.0007181924,0.8749114,0.0001408072,0.0987234,0.006493561,0.0003683968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009883612,0.0005428003,0.9882065,0.00005638919,0.0003140057,0.0001226649,0.000007071324,0.00003298849,0.0008339561],"genre_scores_gemma":[0.8620897,0.003688273,0.133854,0.00001878575,0.000104675,0.000006140272,0.00000297221,0.0000143698,0.0002211296],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8543525,"threshold_uncertainty_score":0.3278315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149691477583739,"score_gpt":0.2395713754410256,"score_spread":0.2280744606651882,"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."}}