{"id":"W4407400151","doi":"10.1007/s00170-025-15140-7","title":"Retainability design of assembly precision considering dynamic characteristics of high-speed spindle","year":2025,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fundamental Research Funds for the Central Universities; Beijing Postdoctoral Science Foundation; National Natural Science Foundation of China; Shanghai Science and Technology Development Foundation","keywords":"Industrial and production engineering; Mechanical engineering; Engineering; Computer science; Engineering drawing","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":[0.0003411956,0.0001380673,0.0003414954,0.0004924767,0.00003116974,0.00001506368,0.0007180545,0.0001139646,0.00001385821],"category_scores_gemma":[0.0003089162,0.0001097879,0.00006841034,0.0001167333,0.0001057895,0.0001515233,0.0001318414,0.0002970964,4.515156e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497084,"about_ca_system_score_gemma":0.00005163216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004302227,"about_ca_topic_score_gemma":0.000001716601,"domain_scores_codex":[0.9987699,0.0000217186,0.0007191471,0.0001085296,0.0002466122,0.0001341424],"domain_scores_gemma":[0.9986945,0.0002037386,0.0004831661,0.0002438859,0.000357234,0.0000174783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002351647,0.00004765126,0.0001286052,0.0001433479,0.000224689,0.000009489082,0.00007373045,0.8233315,0.04415007,0.0008358971,0.00001880389,0.1308011],"study_design_scores_gemma":[0.000548707,0.00008838793,0.005269354,0.0003179621,0.00003564958,0.00003287132,0.00008017146,0.01148719,0.9509305,0.03092306,0.0001900957,0.00009598966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7515212,0.0001773651,0.2470628,0.000430831,0.0005893465,0.0001145603,0.000004582437,0.00005058341,0.00004879959],"genre_scores_gemma":[0.9794719,0.0004756409,0.0199795,0.00001261858,0.00001784483,0.000002576644,0.00000176697,0.00001397942,0.00002419698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9067805,"threshold_uncertainty_score":0.4477021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006871298939416111,"score_gpt":0.2419954490298102,"score_spread":0.2351241500903941,"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."}}