{"id":"W2991692006","doi":"10.23977/jemm.2019.41002","title":"Research on Application of Laser Quenching of Industrial Robots on Automobile Moulds","year":2019,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Workspace; Laser; Industrial robot; Automotive industry; Mechanical engineering; Computer science; Automotive engineering; Materials science; Engineering; Control engineering; Artificial intelligence; Optics; Aerospace engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003146602,0.0003660945,0.0004228135,0.000426367,0.0003584571,0.0003622056,0.0005770188,0.0005943041,0.001432186],"category_scores_gemma":[0.000517062,0.0002356219,0.0005053352,0.0004865515,0.000512983,0.0007264699,0.0003813197,0.0003921657,0.0002556723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004732343,"about_ca_system_score_gemma":0.0005642629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392401,"about_ca_topic_score_gemma":0.0008073275,"domain_scores_codex":[0.9995989,0.00004397104,0.00001182751,0.0001138213,0.0001839947,0.00004754503],"domain_scores_gemma":[0.9997773,0.00006355825,0.0000263044,0.00002831964,0.00008941429,0.00001510574],"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":[0.0001448645,0.0001187871,0.002625637,0.001509668,0.00004865372,0.0003209627,0.0007965366,0.06036587,0.5740919,0.03153992,0.001279473,0.3271578],"study_design_scores_gemma":[0.00008929605,0.002640586,0.01287839,0.0003022873,0.0002128854,0.00145039,0.0006898561,0.3269092,0.517462,0.01608111,0.1211421,0.0001419869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2780246,0.02501139,0.6641375,0.000572869,0.0002121182,0.0001265044,0.00004313233,0.0007131371,0.03115865],"genre_scores_gemma":[0.8999134,0.01038572,0.08178815,0.0001114462,0.00009484911,0.00006298148,0.00005420589,0.00006395908,0.007525378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001432186,"threshold_uncertainty_score":0.004791141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420385947856386,"score_gpt":0.2921432720261918,"score_spread":0.2679394125476279,"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."}}