{"id":"W17972600","doi":"10.1063/1.2011334","title":"Background and Tryout Report for BM2: Underbody Cross Member","year":2005,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ford Motor Company (Canada)","funders":"","keywords":"Benchmark (surveying); Fixture; Addendum; Trimming; Automotive industry; Computer science; Software; Engineering drawing; Mechanical engineering; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327661,0.0005565488,0.000310988,0.003138158,0.001256783,0.001205801,0.0008162642,0.0006302227,0.04327677],"category_scores_gemma":[0.00196417,0.0001984135,0.0001857478,0.001220606,0.0001476555,0.0004864091,0.0008136918,0.0004879648,0.02166292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124978,"about_ca_system_score_gemma":0.001122078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007617529,"about_ca_topic_score_gemma":0.01178452,"domain_scores_codex":[0.9982558,0.0001377854,0.00009790577,0.000187388,0.001078243,0.000242766],"domain_scores_gemma":[0.9973072,0.0002306119,0.0002509799,0.0002281881,0.001450833,0.0005322028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001484193,0.001936358,0.1498205,0.0006274274,0.00004510551,0.002777111,0.001844189,0.004520028,0.02106048,0.008108384,0.4823607,0.3254156],"study_design_scores_gemma":[0.00002827375,0.001116383,0.1474018,0.0001045725,0.00001876575,0.0009150815,0.001361634,0.00198488,0.01677685,0.0007021613,0.8295344,0.00005522886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3961512,0.001905094,0.01004175,0.00360417,0.00106626,0.001830579,0.08890063,0.002470813,0.4940295],"genre_scores_gemma":[0.4156631,0.001147189,0.006867193,0.000678455,0.0004942167,0.0007917463,0.0759631,0.0005433449,0.4978516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04327677,"threshold_uncertainty_score":0.1447752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0571319246443942,"score_gpt":0.3261501893591446,"score_spread":0.2690182647147504,"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."}}