{"id":"W2377913333","doi":"","title":"Design and Implementation of User Interface for Architectural Drawing Recognition System","year":2004,"lang":"en","type":"article","venue":"Jisuanji gongcheng","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Computer science; Generality; Dimension (graph theory); Interface (matter); Realization (probability); Human–computer interaction; User interface; Natural user interface; Reliability (semiconductor); User interface design; User experience design; Programming language; Operating system","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":[0.0001291296,0.00006891573,0.00008229369,0.00006142778,0.00004218009,0.00001556911,0.0000316984,0.00003203702,0.000003354422],"category_scores_gemma":[0.000004315447,0.00007307864,0.00002336505,0.00005870417,0.00000849789,0.00006587994,0.000006415399,0.00003901736,0.000003064747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006518709,"about_ca_system_score_gemma":0.000009829785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002744372,"about_ca_topic_score_gemma":0.000009161343,"domain_scores_codex":[0.9995812,0.000007037307,0.0001815332,0.00009101147,0.00004658959,0.00009259618],"domain_scores_gemma":[0.9997837,0.00004413939,0.00003111731,0.00007034111,0.00004404574,0.00002663759],"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":[0.000011136,0.000007599356,0.0001143248,0.0002516852,0.00003893598,9.35873e-8,0.002266163,0.9252305,0.04110459,0.0008299008,0.00001997463,0.03012506],"study_design_scores_gemma":[0.002486526,0.0000817527,0.003393045,0.0002008877,0.00008631685,0.00001312346,0.00259202,0.577337,0.4116001,0.001770605,0.0001306516,0.0003079865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4793379,0.00002816377,0.5201916,0.0000205512,0.0000368435,0.0002650855,0.000004404477,0.00009530654,0.00002017322],"genre_scores_gemma":[0.9599949,0.000003164921,0.03984032,0.000007162806,0.00002887713,0.00008448486,0.00001988752,0.00001794977,0.000003224187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.480657,"threshold_uncertainty_score":0.2980061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353158670536977,"score_gpt":0.3057271786964268,"score_spread":0.2704113116427291,"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."}}