{"id":"W2361904333","doi":"","title":"Machining,one of modern automotive manu factur ing technologies Tracking research on development of world automotive technology(1)","year":2002,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Automotive industry; Machining; Manufacturing engineering; Engineering; Mechanical engineering; Automotive engineering; Aerospace 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":[0.0002895638,0.0001949094,0.0003065608,0.001520971,0.0001142309,0.00002087281,0.0003514737,0.0001953554,0.0001722867],"category_scores_gemma":[0.0001298919,0.0001805409,0.00003505511,0.0008233115,0.0001366061,0.0001334059,0.0001320917,0.0005390751,0.00001312965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265921,"about_ca_system_score_gemma":0.00001497168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003919495,"about_ca_topic_score_gemma":0.00002390004,"domain_scores_codex":[0.9985243,0.00001871629,0.0004346973,0.0002708225,0.0003811776,0.000370271],"domain_scores_gemma":[0.9992575,0.00009799652,0.00009272052,0.0002815731,0.0002443803,0.00002584279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001592867,0.000230577,0.0006647203,0.0005803561,0.0001918263,0.000005046502,0.006750319,0.4574162,0.002737133,0.001960762,0.0001516682,0.5292954],"study_design_scores_gemma":[0.0002258052,0.0000605763,0.001013577,0.0003320769,0.000006824678,9.057637e-7,0.0008865764,0.1431151,0.8522553,0.001744745,0.0001591378,0.0001993775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7630143,0.001279163,0.1750934,0.0005969222,0.0001509827,0.0007907721,0.00001218579,0.004213856,0.05484835],"genre_scores_gemma":[0.9632652,0.00005391259,0.03615112,0.000004833245,0.000005985068,0.00002920242,0.000002925122,0.00003392742,0.0004529068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8495182,"threshold_uncertainty_score":0.7362242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07980049087779446,"score_gpt":0.2922112395869669,"score_spread":0.2124107487091725,"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."}}