{"id":"W2356525157","doi":"","title":"Application of MATLAB language to train wheel tread surface analysis","year":2003,"lang":"en","type":"article","venue":"Railway Computer Application","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rockwell Automation (Canada)","funders":"","keywords":"Tread; MATLAB; Process (computing); Computer science; Automation; Automotive engineering; Engineering drawing; Engineering; Simulation; Mechanical engineering; Programming language; Materials science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006674999,0.0008241349,0.0004998013,0.0009224332,0.0002730692,0.0008797516,0.001054744,0.0004130534,0.01396598],"category_scores_gemma":[0.003181194,0.0003785478,0.0003905186,0.0007022601,0.0002322504,0.0008668383,0.0007697473,0.0007218623,0.006989646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560396,"about_ca_system_score_gemma":0.0006594587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177945,"about_ca_topic_score_gemma":0.0007988448,"domain_scores_codex":[0.9991851,0.0001815241,0.0001177983,0.000124366,0.0003209875,0.00007020028],"domain_scores_gemma":[0.9992172,0.000257793,0.00005794286,0.00009845796,0.0003392009,0.00002939295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006358503,0.0001720747,0.002328625,0.00121069,0.000150612,0.001743253,0.0008695197,0.07270098,0.08885425,0.04263174,0.06887652,0.7198258],"study_design_scores_gemma":[0.000227405,0.0002245877,0.002902354,0.0003281177,0.00007951855,0.002464136,0.0001772074,0.5748959,0.1247019,0.02467925,0.2691843,0.0001353929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002939729,0.0002290081,0.9605659,0.0001119003,0.00008306142,0.00005646433,0.0003521626,0.02833072,0.007331018],"genre_scores_gemma":[0.1330792,0.0009136132,0.8385119,0.0002108247,0.000087457,0.0006801996,0.001976043,0.007088005,0.01745276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01396598,"threshold_uncertainty_score":0.04672092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004464384091589945,"score_gpt":0.206220833106006,"score_spread":0.2017564490144161,"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."}}