{"id":"W2179774107","doi":"","title":"Data exchange standards for computer–aided engineering and manufacturing","year":2014,"lang":"en","type":"article","venue":"Journal of Computer Applications in Technology","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Audio Recording Academy; Technical University of Nova Scotia","funders":"","keywords":"Data exchange; CAD; Product model; Engineering drawing; Computer Aided Design; Product (mathematics); Manufacturing engineering; Computer science; Computer-aided manufacturing; Computer-aided; Electronic data interchange; Computer-aided engineering; Engineering; Systems engineering; Industrial engineering; Software engineering; Mechanical engineering; Database; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003430353,0.000103238,0.0002071058,0.0004230889,0.00003091016,0.0000316013,0.0003882946,0.00009742726,0.000001729608],"category_scores_gemma":[0.000008776803,0.0001004832,0.00001752673,0.0001068916,0.00001988146,0.0001298445,0.0001177521,0.0001709037,2.190366e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004431738,"about_ca_system_score_gemma":0.000009853123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.841299e-7,"about_ca_topic_score_gemma":0.000001691774,"domain_scores_codex":[0.9993383,0.000005408996,0.0003079755,0.0001291397,0.00008371079,0.0001354374],"domain_scores_gemma":[0.9994705,0.00007348396,0.00008526946,0.0002792265,0.00006047835,0.00003107805],"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":[0.000003933099,0.0000228185,0.0001459864,0.000405355,0.00003600943,8.984235e-7,0.00005978329,0.4869888,0.00007578496,0.001710651,0.0005838492,0.5099661],"study_design_scores_gemma":[0.0004507146,0.00005953829,0.0006374657,0.00005804191,0.00001181838,0.00003407462,0.000005293358,0.8837312,0.002770662,0.001455356,0.1106689,0.000116891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02654728,0.0003232511,0.9725443,0.0001298387,0.000135088,0.0001705055,0.00001797078,0.0001143042,0.00001744097],"genre_scores_gemma":[0.5609625,0.000222931,0.438433,0.00001656255,0.0002944797,0.00002929538,0.00001414464,0.00002522199,0.000001873309],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5344152,"threshold_uncertainty_score":0.4097585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009701666370913025,"score_gpt":0.2388020473119619,"score_spread":0.2291003809410488,"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."}}