{"id":"W3187564107","doi":"10.1016/j.heliyon.2021.e07753","title":"Industry 4.0 implementation and Triple Bottom Line sustainability: An empirical study on small and medium manufacturing firms","year":2021,"lang":"en","type":"article","venue":"Heliyon","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Ministry of Higher Education, Malaysia","keywords":"Triple bottom line; Sustainability; Business; Respondent; Government (linguistics); Supply chain; Structural equation modeling; Environmental economics; Sustainable development; Industry 4.0; Small and medium-sized enterprises; Industrial organization; Marketing; Process management; Economics; Computer science","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":[0.0001634419,0.0001515956,0.000147661,0.00007837257,0.00006376038,0.000136558,0.00005124379,0.0002399192,0.00006164545],"category_scores_gemma":[0.00002569273,0.0001555324,0.00001668803,0.0001049337,0.00002254036,0.000327561,0.00003210896,0.000619752,0.000003105522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009487467,"about_ca_system_score_gemma":0.00004078336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006648716,"about_ca_topic_score_gemma":0.00006558464,"domain_scores_codex":[0.9990917,0.0000419357,0.0002694864,0.0002205895,0.0001606935,0.0002155534],"domain_scores_gemma":[0.9995562,0.00005172797,0.0000199304,0.0001844797,0.00004870969,0.0001389486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001930553,0.001383137,0.7840872,0.00370805,0.0003299212,0.000375594,0.02343185,0.005430928,0.001070474,0.0001582969,0.0009271289,0.1789044],"study_design_scores_gemma":[0.003152437,0.0007721616,0.8370712,0.0001313132,0.00005999403,0.00005723487,0.0791365,0.0004785187,0.07232384,0.000371946,0.005854632,0.0005902116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978774,0.0001148093,0.0002215084,0.0004464541,0.0001626832,0.0003246593,0.00002097357,0.0001607748,0.0006707922],"genre_scores_gemma":[0.9994668,0.00004379853,0.00009223484,0.0001088306,0.00009269459,0.00003459145,0.00004079484,0.0000243976,0.00009588579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1783141,"threshold_uncertainty_score":0.6342427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466080774446183,"score_gpt":0.3177439523437089,"score_spread":0.2830831445992471,"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."}}