{"id":"W4386213415","doi":"10.30955/gnc2023.00496","title":"Paradigm Shift Towards Integrated Sustainability and High Performance Machining","year":2023,"lang":"en","type":"article","venue":"Global NEST International Conference on Environmental Science & Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Partenariat Canadien Contre Le Cancer","keywords":"Sustainability; Productivity; Machining; Process (computing); Manufacturing engineering; Quality (philosophy); Lubrication; Risk analysis (engineering); Production (economics); Computer science; Engineering; Environmental economics; Business; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004326813,0.0006958313,0.0005399194,0.000847309,0.0007637015,0.003456973,0.001383889,0.003124978,0.001692467],"category_scores_gemma":[0.00150599,0.0002328227,0.0005106903,0.0005919035,0.00632786,0.004320317,0.003639928,0.003148045,0.000427995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003363435,"about_ca_system_score_gemma":0.004259408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007136297,"about_ca_topic_score_gemma":0.0007554694,"domain_scores_codex":[0.9972509,0.000761938,0.00008052901,0.0003411799,0.00130599,0.0002594721],"domain_scores_gemma":[0.9982824,0.0005052086,0.0001898407,0.0002525781,0.0005583075,0.0002117398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003597203,0.00008349832,0.0003044941,0.0003930311,0.00002443639,0.0000999344,0.0005000384,0.004853569,0.00443551,0.9390872,0.003704009,0.04647842],"study_design_scores_gemma":[0.00002694976,0.0001830224,0.0005540302,0.0003166845,0.00001481477,0.000255892,0.0006908023,0.01188437,0.004097637,0.8329827,0.1489502,0.00004298349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07751419,0.0407137,0.5448589,0.1219388,0.002710825,0.0001738477,0.0001333818,0.0006671992,0.2112891],"genre_scores_gemma":[0.8098603,0.01884597,0.1391518,0.01085953,0.001193742,0.0002811052,0.00009090319,0.0001247504,0.0195918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004326813,"threshold_uncertainty_score":0.02440351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008106683619302432,"score_gpt":0.248387682019354,"score_spread":0.2402809984000516,"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."}}