{"id":"W4402692555","doi":"10.1007/978-3-031-68634-4_24","title":"Planning and Scheduling of Robotic Welding Processes in the Rolling Stock Industry: A Literature Review","year":2024,"lang":"en","type":"review","venue":"Lecture notes in networks and systems","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Stock (firearms); Manufacturing engineering; Computer science; Business; Engineering; Industrial engineering; Operations research; Mechanical engineering","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":[0.0004298401,0.0003440431,0.001091804,0.0001745903,0.00003670183,0.0001444747,0.0001233491,0.0005836142,2.386963e-7],"category_scores_gemma":[0.0001868954,0.0002145914,0.00004765515,0.0007524149,0.00002109811,0.00005538019,0.00003051518,0.001680862,7.025365e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003460091,"about_ca_system_score_gemma":0.00002423714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004889017,"about_ca_topic_score_gemma":0.00000865911,"domain_scores_codex":[0.9987455,0.00009788982,0.0005670573,0.0002637894,0.0001018508,0.0002238823],"domain_scores_gemma":[0.9991033,0.0005572684,0.0001329781,0.0001572901,0.00002231807,0.00002684985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"systematic_review","study_design_scores_codex":[5.174102e-7,0.000001673273,0.000007827064,0.1651758,0.00002171893,0.00002007928,0.0002563777,0.7942531,7.451127e-9,0.000008964031,0.000004858677,0.04024908],"study_design_scores_gemma":[0.00005534311,0.0000140184,6.369101e-7,0.5824401,0.0002774847,0.0001212257,0.00002205066,0.4083308,8.922173e-8,0.00006305147,0.008405072,0.000270103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003308685,0.8084624,0.190675,0.000006740465,0.0002487416,0.0005506201,0.000003322263,0.000036042,0.00001383024],"genre_scores_gemma":[0.02564321,0.9733285,0.0005713346,0.00001432598,0.0002757674,0.00008193292,0.0000365806,0.00004660002,0.000001759288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4172643,"threshold_uncertainty_score":0.8750784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410016052071087,"score_gpt":0.3034759712364558,"score_spread":0.269375810715745,"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."}}