{"id":"W2258886834","doi":"10.4271/2004-01-1244","title":"A Service Oriented Integration Framework for Blow Molded Automotive Parts Design and Optimization","year":2004,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Automotive industry; Service (business); Computer science; Service-oriented architecture; Manufacturing engineering; Engineering; Business; Web service; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001668438,0.00116028,0.000821724,0.0009314584,0.0007512262,0.001335632,0.001525096,0.001070712,0.002202712],"category_scores_gemma":[0.001082531,0.0006763573,0.001524476,0.0007725275,0.0006157602,0.001167427,0.001034573,0.001442742,0.0009807788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009846503,"about_ca_system_score_gemma":0.002719747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136481,"about_ca_topic_score_gemma":0.01221533,"domain_scores_codex":[0.9990351,0.000181128,0.00007919223,0.00008147605,0.0005314139,0.00009170546],"domain_scores_gemma":[0.9996749,0.00008620809,0.00002823533,0.0000428147,0.0001214776,0.00004633936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002296877,0.0003571491,0.001151464,0.0004837549,0.000173904,0.0009753776,0.0007114335,0.3307783,0.04219891,0.1707068,0.01602927,0.436204],"study_design_scores_gemma":[0.0001051619,0.0001656879,0.0004917418,0.0001030319,0.00007051165,0.0003657756,0.00007658159,0.850877,0.01082336,0.04511027,0.0917476,0.00006324783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001744684,0.000128399,0.9934829,0.00009469793,0.00002016589,0.0001016541,0.00003946363,0.002991585,0.001396439],"genre_scores_gemma":[0.0438007,0.000378756,0.950919,0.0001206738,0.00002817851,0.0003684924,0.0005942288,0.0004501896,0.003339794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0136481,"threshold_uncertainty_score":0.02713728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210329336350524,"score_gpt":0.231945105645684,"score_spread":0.2198418122821788,"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."}}