{"id":"W129289642","doi":"10.1115/detc2003/dtm-48658","title":"Augmenting Mechanical CAD With Pen and Tablet","year":2003,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Sketch; CAD; Table (database); Traceability; Computer science; Conceptual design; Engineering drawing; Software engineering; Systems engineering; Human–computer interaction; Engineering; Database","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":[0.0000388898,0.00004432202,0.00004198884,0.00001270792,0.00002474489,0.00002618055,0.00001595878,0.00001852533,0.0001813729],"category_scores_gemma":[0.000004016519,0.00003364864,0.00000334761,0.00002730745,0.000003021733,0.00005724953,0.000004226619,0.0000322999,0.000002913689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004806011,"about_ca_system_score_gemma":0.000003000623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006146644,"about_ca_topic_score_gemma":0.00000879016,"domain_scores_codex":[0.9997796,0.000002441943,0.00004174268,0.00005763693,0.00003826975,0.00008029024],"domain_scores_gemma":[0.9999197,0.000005525338,0.00000466752,0.00003940203,0.000005911514,0.00002482494],"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":[0.00001749219,0.00004508198,0.003144103,0.0007037944,0.0001607606,0.00001757122,0.0005550836,0.8649538,0.002174428,0.1113713,0.002061336,0.01479531],"study_design_scores_gemma":[0.002254627,0.0001473486,0.001840297,0.0001177919,0.00009576804,0.00008613623,0.0003305268,0.5377548,0.3805204,0.001810209,0.07390352,0.00113856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.192629,0.0002541526,0.6279318,0.00004427662,0.00009529621,0.0001456551,8.604131e-7,0.0004314779,0.1784675],"genre_scores_gemma":[0.9842903,0.00002030072,0.01504408,0.00002044443,0.000006344743,0.000003440631,9.327675e-7,0.000009409213,0.0006047628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7916613,"threshold_uncertainty_score":0.1985906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005602004774242911,"score_gpt":0.1736775862186562,"score_spread":0.1680755814444133,"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."}}