{"id":"W4392373097","doi":"10.18280/jesa.570123","title":"Challenges in Adopting Industry 4.0 for Indian Automobile Industries: A Key Experts’ Perspective","year":2024,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Perspective (graphical); Automotive industry; Business; Manufacturing engineering; Engineering; Engineering management; Computer science; Computer security; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001406364,0.0008000582,0.0008263916,0.001256332,0.0003207435,0.001941253,0.0006244743,0.001658841,0.0005036535],"category_scores_gemma":[0.0007187452,0.0008578871,0.0003688044,0.00143094,0.0003097825,0.00357494,0.00009632473,0.003758732,0.0002289411],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003827607,"about_ca_system_score_gemma":0.0008279702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009814712,"about_ca_topic_score_gemma":0.00008754194,"domain_scores_codex":[0.9952458,0.0002858307,0.001734214,0.0006239467,0.000701045,0.001409237],"domain_scores_gemma":[0.9976166,0.0007675156,0.0002605862,0.0003904518,0.0004052227,0.0005595741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000191712,0.0001580882,0.0002061191,0.004122734,0.0005528302,0.001297454,0.05964822,0.01629975,0.00004450988,0.03596593,0.01207476,0.8696104],"study_design_scores_gemma":[0.003751233,0.001407495,0.03033643,0.06507926,0.0004253799,0.02124076,0.284046,0.09041003,0.001439303,0.02144474,0.4766307,0.003788659],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2424938,0.4579983,0.007270934,0.01961957,0.02204491,0.003361646,0.0009055895,0.003612119,0.2426931],"genre_scores_gemma":[0.9730163,0.009477886,0.007015547,0.00007288297,0.003107951,0.0003125035,0.00001622738,0.0004889375,0.006491777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8658218,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05690819206663535,"score_gpt":0.2923294163110627,"score_spread":0.2354212242444273,"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."}}