{"id":"W4406783592","doi":"10.36948/ijfmr.2025.v07i01.35153","title":"Quarter Turn Rotation of Automobile Wheels: A revolutionary change for Automobile","year":2025,"lang":"en","type":"article","venue":"International Journal For Multidisciplinary Research","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turn (biochemistry); Rotation (mathematics); Quarter (Canadian coin); Automotive industry; Automotive engineering; Engineering; Aeronautics; Computer science; Physics; Aerospace engineering; History; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004586754,0.0003232484,0.0003175663,0.0004839406,0.0004740689,0.0007872037,0.0006346517,0.000584755,0.005583811],"category_scores_gemma":[0.000737157,0.0002013913,0.0003188766,0.0005811971,0.00088396,0.001221079,0.0007359108,0.0006402081,0.002271845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005958848,"about_ca_system_score_gemma":0.000722677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204752,"about_ca_topic_score_gemma":0.002361987,"domain_scores_codex":[0.9996112,0.0000483031,0.00001191511,0.00007865875,0.0001953492,0.00005461278],"domain_scores_gemma":[0.9994461,0.00004070745,0.0000321089,0.00006806016,0.0003381614,0.00007497206],"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":[0.0002705457,0.0001494316,0.004915721,0.0005902193,0.00002222033,0.0002120342,0.0004869653,0.005502793,0.05502713,0.0966363,0.03476917,0.8014175],"study_design_scores_gemma":[0.00002433305,0.0006219547,0.006273713,0.000154012,0.00002639205,0.001090931,0.0006989245,0.008464071,0.0143884,0.02134708,0.9468321,0.00007814511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2963105,0.1027239,0.3372772,0.02176095,0.01364518,0.0002760023,0.0007867157,0.002729085,0.2244904],"genre_scores_gemma":[0.7169827,0.03197652,0.1261037,0.002508369,0.002223514,0.00009576188,0.0007263746,0.0004416677,0.1189413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005583811,"threshold_uncertainty_score":0.01867974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036175594782082,"score_gpt":0.4519283656517962,"score_spread":0.348310806173588,"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."}}