{"id":"W3019448154","doi":"","title":"[Healeys] Holes for Rear Quarter Panel","year":2019,"lang":"en","type":"article","venue":"","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); History","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":[0.00001662107,0.00004137762,0.00006221038,0.00002024189,0.0000102928,0.00001324308,0.00002900048,0.00002311482,0.0003290813],"category_scores_gemma":[0.000001473299,0.00003035342,0.00003661043,0.00003968881,0.00000286717,0.00004733248,0.000002235311,0.00001572921,0.00008485347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006637773,"about_ca_system_score_gemma":9.277807e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004846027,"about_ca_topic_score_gemma":0.000003777513,"domain_scores_codex":[0.9997789,0.000001523744,0.00006320851,0.0000544164,0.00003166251,0.00007024373],"domain_scores_gemma":[0.9998842,0.00001041254,0.000005319173,0.00007083555,0.00001397402,0.00001520969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002071291,0.00001231074,0.009077054,0.0002463067,0.0002065243,5.472038e-7,0.000498425,0.8625258,0.03069768,0.01633273,0.04880021,0.03158167],"study_design_scores_gemma":[0.0002579619,0.00002551525,0.00718681,0.000005645697,0.00001686892,8.15667e-7,0.0001138253,0.9815092,0.003777523,0.0005234895,0.006440385,0.0001419329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728162,0.00009648443,0.1028269,0.0002467097,0.0003817407,0.0002623438,0.000006776508,0.0003184595,0.02304436],"genre_scores_gemma":[0.9942975,0.00001067076,0.004060203,0.00004507582,0.00004537641,0.000004186918,0.00001599116,0.000007395173,0.001513602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1214813,"threshold_uncertainty_score":0.360321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009250922419283169,"score_gpt":0.1857018796109819,"score_spread":0.1764509571916988,"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."}}