{"id":"W6986795574","doi":"","title":"R/C Baja; Suspension & Chassis","year":2022,"lang":"en","type":"article","venue":"ScholarWorks (Central Washington University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chassis; Suspension (topology); Deflection (physics); Drop test; Automotive industry; Quarter (Canadian coin)","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":[0.0001757046,0.0001164492,0.0001079731,0.0002074043,0.00112248,0.0001987254,0.001249155,0.00003171174,0.0001793327],"category_scores_gemma":[0.00001043311,0.0001462334,0.0001097231,0.001424499,0.00002666045,0.000795546,0.001028104,0.0004927128,0.00004374202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546355,"about_ca_system_score_gemma":0.0001167825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003508485,"about_ca_topic_score_gemma":0.000006574493,"domain_scores_codex":[0.998638,0.0001325751,0.0001088074,0.000415399,0.0003823821,0.0003228205],"domain_scores_gemma":[0.999155,0.00008500803,0.00008792574,0.0004354425,0.00006842928,0.0001681433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001555998,0.0001560701,0.0006751784,0.000002703291,0.00002271025,0.00005057935,0.0003850442,0.01573445,0.001007957,0.9590947,0.004831692,0.01802333],"study_design_scores_gemma":[0.000953981,0.0001027159,0.01598834,0.00001422508,0.00002490489,0.00002432987,0.0004058107,0.1009748,0.0004122556,0.02351487,0.8569902,0.0005935508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2535513,0.0001308429,0.7023922,0.01236995,0.001537765,0.0005251801,0.00003673631,0.0007877936,0.02866818],"genre_scores_gemma":[0.9922097,0.00001285013,0.005058505,0.0003954688,0.00005710383,0.000001575914,0.00002971301,0.0000100448,0.002224985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9355798,"threshold_uncertainty_score":0.8633325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096898230828779,"score_gpt":0.2011596835418542,"score_spread":0.1901907012335664,"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."}}