{"id":"W2226868912","doi":"10.4271/2005-01-2279","title":"Improving the Efficiency of Sealing Parts for Hollow Body Network","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Engineering Applied Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Engineering drawing; 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"],"consensus_categories":[],"category_scores_codex":[0.001414232,0.0006580027,0.0007926982,0.0001572454,0.0003898791,0.00009265741,0.001330523,0.0005448193,0.00009515919],"category_scores_gemma":[0.0006277952,0.0005114552,0.0004625554,0.0008937018,0.0006175485,0.0002358425,0.0003186341,0.001438933,0.00003962245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774148,"about_ca_system_score_gemma":0.00006998223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128864,"about_ca_topic_score_gemma":0.00553407,"domain_scores_codex":[0.9958174,0.00006290861,0.001043911,0.0007564984,0.0008774554,0.001441882],"domain_scores_gemma":[0.9969444,0.001108938,0.0001271774,0.001416619,0.0001063705,0.0002965179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009355121,0.000109744,0.00002373401,0.0001802965,0.00005255921,0.000006473979,0.00002458298,0.04263663,0.9402665,0.007291865,0.003312036,0.006002058],"study_design_scores_gemma":[0.003055772,0.002564157,0.7386272,0.0009810147,0.0003381136,0.0001541232,0.0002173056,0.0004970719,0.01261455,0.002125189,0.2357583,0.003067189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073002,0.005007604,0.000574492,0.005522759,0.001295411,0.006897176,0.0001820445,0.01304567,0.06017461],"genre_scores_gemma":[0.9879638,0.000235176,0.009841913,0.0002703297,0.0005710477,0.0007129891,0.00002085389,0.0002146567,0.0001692569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9276519,"threshold_uncertainty_score":0.9997337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007896522112799,"score_gpt":0.2419927783496188,"score_spread":0.2319138131284908,"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."}}