{"id":"W4367186665","doi":"10.1016/j.dib.2023.109175","title":"Experimental vibration data collected for a belt drive system under different operating conditions","year":2023,"lang":"en","type":"article","venue":"Data in Brief","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; SIGNAL (programming language); Operating speed; Automotive engineering; Computer science; Anomaly (physics); Structural engineering; Engineering; Acoustics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001026596,0.00009947109,0.0001482647,0.0001245536,0.0001242665,0.000102216,0.0003746287,0.0000462454,0.00005015666],"category_scores_gemma":[0.0000401685,0.0001021439,0.00001582439,0.0003928906,0.00001476997,0.0004550011,0.00022206,0.00005671988,0.00002150831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009155121,"about_ca_system_score_gemma":0.00001993947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008386117,"about_ca_topic_score_gemma":0.000663342,"domain_scores_codex":[0.9991978,0.00002625155,0.0002469929,0.0002722031,0.0001084053,0.0001483082],"domain_scores_gemma":[0.9990901,0.00007395702,0.00002439499,0.0007571866,0.00001642911,0.00003796967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003325711,0.0003054551,0.001610793,0.0005613019,0.0008260974,0.00003242521,0.002416944,0.5878534,0.11239,0.03521714,0.2578348,0.0009183826],"study_design_scores_gemma":[0.0004410738,0.000009176974,0.002108319,0.00003160413,0.00002081107,0.000001323508,0.001344588,0.9946747,0.0006460443,0.00001110411,0.0005964987,0.0001147575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2231499,0.00009518997,0.7539507,0.0003099178,0.0005425658,0.00103749,0.01869095,0.001149164,0.00107417],"genre_scores_gemma":[0.893707,0.00000490325,0.0008161635,0.00005002664,0.00005514839,0.00008692699,0.1051814,0.00002050353,0.0000779522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7531345,"threshold_uncertainty_score":0.4165305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04531516101726665,"score_gpt":0.2983370371269858,"score_spread":0.2530218761097192,"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."}}