{"id":"W2354484489","doi":"","title":"Relationship Between International Roughness Index and Velocity of Quarter Car","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); International Roughness Index; Vibration; Damper; Wavelength; Surface finish; Surface roughness; Car model; Mathematics; Acoustics; Structural engineering; Engineering; Physics; Automotive engineering; Optics; Mechanical engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001128275,0.00004352519,0.00006027185,0.00004922079,0.00001617159,0.000005046114,0.0000307975,0.00003579984,0.00004148527],"category_scores_gemma":[0.00002932596,0.00004263172,0.00001382039,0.00005422445,0.00001200475,0.0001386376,0.000005923713,0.00006555406,0.000003952039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002285162,"about_ca_system_score_gemma":0.000002340962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002309189,"about_ca_topic_score_gemma":0.000007751479,"domain_scores_codex":[0.9996889,0.0000101914,0.0001139906,0.00005159523,0.00008524331,0.00005005128],"domain_scores_gemma":[0.999823,0.00006336437,0.00001367337,0.00005054328,0.00002679764,0.00002259422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008460071,0.000006765105,0.9283884,0.00002432825,0.00002748206,1.231117e-7,0.0002908672,0.01156668,0.001231382,0.001182499,0.0002521806,0.05702079],"study_design_scores_gemma":[0.0004376572,0.0000105491,0.9603221,0.00000677756,0.000009512006,0.000001060917,0.00007829696,0.01771928,0.01339574,0.001593658,0.00630778,0.0001175154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3542752,0.00003661737,0.6366224,0.0000593561,0.0001060501,0.00003225997,0.000001683217,0.00007322488,0.008793253],"genre_scores_gemma":[0.9651276,0.000002066732,0.03457258,0.000007365935,0.000119203,0.000002312251,0.000001650539,0.000005128375,0.0001620915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6108524,"threshold_uncertainty_score":0.1738471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04442927375069101,"score_gpt":0.2984377224767938,"score_spread":0.2540084487261028,"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."}}