{"id":"W4411384063","doi":"10.3233/atde250392","title":"Collaborative Robotic Finishing Platform for Metal Part Processing Towards Industry 5.0","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in transdisciplinary engineering","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université Laval; Polytechnique Montréal; National Research Council Canada","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Manufacturing engineering; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005275013,0.0009667635,0.0004572684,0.0006254262,0.0003894509,0.0007583994,0.001302473,0.0008364923,0.007365808],"category_scores_gemma":[0.0005670851,0.0002868207,0.0007262055,0.0002187337,0.0003563256,0.0006914216,0.00179202,0.0005366689,0.002490753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937974,"about_ca_system_score_gemma":0.001028193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137611,"about_ca_topic_score_gemma":0.001292579,"domain_scores_codex":[0.9994517,0.00005400086,0.00001942769,0.000113362,0.0002549301,0.0001064937],"domain_scores_gemma":[0.9996926,0.00003017113,0.00004076746,0.00008607242,0.0000804189,0.00007006005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001075064,0.0006240619,0.005938055,0.0009522105,0.0001035797,0.002163014,0.001105036,0.05325561,0.5249815,0.01291956,0.01428975,0.3825926],"study_design_scores_gemma":[0.0002886085,0.004776374,0.01929007,0.0002071087,0.0002310453,0.002281661,0.0006512512,0.4864364,0.2742536,0.00930661,0.2020201,0.0002571425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.14001,0.000441869,0.8183854,0.0002476167,0.0002265006,0.0005868074,0.0002820413,0.0164728,0.02334702],"genre_scores_gemma":[0.6536574,0.0002398915,0.3221447,0.0001429624,0.00003145808,0.0004086184,0.0007254843,0.0004289515,0.02222051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007365808,"threshold_uncertainty_score":0.02464116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185624879580832,"score_gpt":0.2534249501192684,"score_spread":0.2415687013234601,"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."}}