{"id":"W4416678752","doi":"10.51219/urforum.2025.soumaya-yacout","title":"Challenges to AIML in Industry 4.0 applications","year":2025,"lang":"","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Multidisciplinary approach; Presentation (obstetrics); Domain (mathematical analysis); Subject-matter expert; Quality (philosophy); Data collection; Domain knowledge; Industry 4.0","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":[0.02165159,0.0009557633,0.001195461,0.002092879,0.001463734,0.009722161,0.005798454,0.00382957,0.0136345],"category_scores_gemma":[0.03833035,0.001186911,0.001612897,0.002162889,0.002885184,0.01082696,0.008984991,0.007670279,0.01136546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003397541,"about_ca_system_score_gemma":0.003594875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002979066,"about_ca_topic_score_gemma":0.002945387,"domain_scores_codex":[0.9872427,0.005314227,0.0006690463,0.001075696,0.004868876,0.0008294164],"domain_scores_gemma":[0.9829726,0.007951492,0.0006028199,0.003657683,0.003974546,0.0008408671],"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":[0.0004763844,0.0003125211,0.004615236,0.001186132,0.0001106825,0.0006754503,0.002578246,0.05172347,0.004196601,0.3553309,0.1146922,0.4641021],"study_design_scores_gemma":[0.00009727696,0.000183518,0.001317801,0.0006862874,0.00004432249,0.0005394875,0.001034906,0.2457314,0.007732408,0.3614449,0.381046,0.0001415911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01442482,0.003453718,0.796185,0.04615466,0.001103285,0.0002834855,0.0007820792,0.06696537,0.0706476],"genre_scores_gemma":[0.268968,0.003184707,0.6764464,0.01180189,0.0008006051,0.000639638,0.002339717,0.0102806,0.02553855],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02165159,"threshold_uncertainty_score":0.1145059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430314087725566,"score_gpt":0.2889794820658877,"score_spread":0.2646763411886321,"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."}}