{"id":"W4393561412","doi":"10.5281/zenodo.6970029","title":"STEP CAD models of structural aerospace sheet metal parts","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"CAD; Aerospace; Sheet metal; Engineering drawing; Engineering; Geology; Mechanical engineering; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002598471,0.0002556696,0.00029804,0.0002656062,0.0008178405,0.000294912,0.001055535,0.00012431,0.09365416],"category_scores_gemma":[0.0000833161,0.0002803966,0.00007558679,0.0003258956,0.00007347632,0.0002453811,0.0009372057,0.000505214,0.0002651206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445386,"about_ca_system_score_gemma":0.000003947092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004921635,"about_ca_topic_score_gemma":0.000001262555,"domain_scores_codex":[0.9983541,0.0001287088,0.0003327604,0.0003531411,0.0005027108,0.0003285643],"domain_scores_gemma":[0.9989681,0.00001400909,0.0001393783,0.0005560546,0.0002036676,0.0001188025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000144377,0.00001588782,3.799214e-8,0.0003869697,0.00006536968,0.000005302648,0.0001216101,0.2047425,0.00001487308,0.0001003843,0.7920233,0.002509363],"study_design_scores_gemma":[0.0002288978,0.00008444894,0.00000718733,0.00002446574,0.0000467609,0.00002291893,0.00005540001,0.01790988,0.0001190693,0.00004914564,0.9811841,0.0002676918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000278679,0.0003364926,0.002821206,0.00003177718,0.0003290958,0.0004185631,0.9896859,0.0006921301,0.005406167],"genre_scores_gemma":[0.00845864,0.0004111265,0.0001894747,0.00001811158,0.00008674751,1.215602e-7,0.9894132,0.00119965,0.0002229073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1891608,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025070287074684,"score_gpt":0.2217281723561487,"score_spread":0.1966578852814647,"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."}}