{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001320975,0.001592103,0.0006504333,0.001628526,0.001332253,0.002672888,0.001688109,0.00124597,0.2174974],"category_scores_gemma":[0.00196562,0.0005892824,0.000501272,0.0008497261,0.0008262565,0.0009717803,0.001390336,0.001352717,0.130745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435136,"about_ca_system_score_gemma":0.002934853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00769639,"about_ca_topic_score_gemma":0.01574558,"domain_scores_codex":[0.99821,0.00006756448,0.00003257271,0.0002254913,0.001337764,0.0001265945],"domain_scores_gemma":[0.9979819,0.0001365618,0.00009890545,0.0002447341,0.001066279,0.0004715465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002499258,0.0004362693,0.0007841454,0.0002074167,0.00001218856,0.0001369087,0.0001110382,0.002815342,0.02045302,0.01639503,0.6003171,0.3580816],"study_design_scores_gemma":[0.00005781275,0.0003349766,0.001875869,0.00006511261,0.000009932782,0.0002008079,0.00008747624,0.01051919,0.01569948,0.001982526,0.9691266,0.00004022283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01213746,0.0006175979,0.05240381,0.00128653,0.001056089,0.0003452894,0.001906834,0.02389248,0.906354],"genre_scores_gemma":[0.05290348,0.000436932,0.03642889,0.0002022885,0.000122576,0.0001514359,0.00254515,0.003223399,0.9039859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2174974,"threshold_uncertainty_score":0.7276012,"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."}}