{"id":"W4415035109","doi":"","title":"Balancing Confidence and Caution: Artificial Intelligence's Integration in Lean Profession","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Lean manufacturing; Identification (biology)","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":[0.03415195,0.0004484184,0.0005039066,0.001682243,0.00625398,0.02041059,0.002057508,0.005598997,0.009602475],"category_scores_gemma":[0.07385022,0.0003696007,0.0004304046,0.001366455,0.02057507,0.0132287,0.008564629,0.008282514,0.001139787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006300691,"about_ca_system_score_gemma":0.0112002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003517605,"about_ca_topic_score_gemma":0.004319275,"domain_scores_codex":[0.9780363,0.01488587,0.00050667,0.001003867,0.004568885,0.0009983992],"domain_scores_gemma":[0.9139091,0.06775147,0.003285075,0.002916945,0.00798432,0.004153052],"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":[0.0002644629,0.0002737204,0.005090729,0.0002439732,0.00004768604,0.0003586297,0.05444656,0.001941044,0.0008820982,0.7307334,0.01894133,0.1867764],"study_design_scores_gemma":[0.00005771268,0.0001174622,0.003071678,0.0006949698,0.00003688684,0.0001949652,0.02902451,0.006608535,0.001064756,0.8782043,0.080855,0.00006919706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1005105,0.0036606,0.1147513,0.456188,0.002167599,0.000104939,0.00003782551,0.0003136265,0.3222656],"genre_scores_gemma":[0.9640213,0.0007401052,0.01325266,0.01017317,0.000761179,0.00008429305,0.00001480276,0.0001176053,0.01083475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03415195,"threshold_uncertainty_score":0.1806149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459750971592782,"score_gpt":0.2389314732702962,"score_spread":0.2243339635543684,"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."}}