{"id":"W4388488045","doi":"10.1007/978-3-031-44652-8_7","title":"Industry 4.0 Driven Circular Economy—An Introduction","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on sustainable development","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Circular economy; Product lifecycle; Sustainability; Product life-cycle management; Industry 4.0; Digital economy; Supply chain; Product (mathematics); Engineering; Intersection (aeronautics); Business; Manufacturing engineering; Industrial organization; New product development; Computer science; Marketing; Transport engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003392109,0.0006325624,0.0003243468,0.001026773,0.0009195856,0.002834649,0.0007615479,0.00200374,0.02258565],"category_scores_gemma":[0.0005083597,0.0002950713,0.000519269,0.001293605,0.001731189,0.002918668,0.001776159,0.002315928,0.007097742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002579195,"about_ca_system_score_gemma":0.001496717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002390584,"about_ca_topic_score_gemma":0.002390752,"domain_scores_codex":[0.9998146,0.00005317393,0.000006878288,0.0000268013,0.00006510174,0.00003345958],"domain_scores_gemma":[0.9998672,0.00005373833,0.00001019204,0.00001367415,0.00003403041,0.0000210332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003749976,0.00002038974,0.00004390746,0.000124999,0.000001957974,0.00005492821,0.0001146713,0.0008347439,0.0001539614,0.9019244,0.07349689,0.02322535],"study_design_scores_gemma":[0.000001666112,0.00001225035,0.0001088265,0.0001867727,0.000001558061,0.00007877507,0.0001020251,0.0006928076,0.0001253517,0.2790444,0.719637,0.000008578205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00229907,0.07236111,0.02460184,0.01698701,0.00829031,0.00007348196,0.0002663517,0.0001783813,0.8749424],"genre_scores_gemma":[0.07069626,0.1055387,0.01297005,0.006863713,0.00738416,0.0003361595,0.0004455778,0.0003056077,0.7954598],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02258565,"threshold_uncertainty_score":0.07555658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354468973645179,"score_gpt":0.1998257799014944,"score_spread":0.1862810901650427,"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."}}