{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038882,0.001031953,0.001068021,0.001230943,0.0004141647,0.001653261,0.002477877,0.001258155,0.01588638],"category_scores_gemma":[0.002486552,0.0006576445,0.0004986383,0.0004892792,0.0002515813,0.001124002,0.0007309884,0.0007396054,0.005783147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938061,"about_ca_system_score_gemma":0.0005060175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149936,"about_ca_topic_score_gemma":0.0005009641,"domain_scores_codex":[0.9988163,0.0002900525,0.0001235597,0.0002150475,0.000431892,0.0001232172],"domain_scores_gemma":[0.9991865,0.0001942425,0.00003215887,0.0001112663,0.0004048136,0.00007101108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00229928,0.0008386886,0.007265464,0.001470966,0.0003066045,0.002186276,0.002507788,0.0147216,0.1737682,0.02784077,0.08273771,0.6840567],"study_design_scores_gemma":[0.0008568209,0.001320743,0.005699654,0.0002451741,0.0004925414,0.003191924,0.0004854091,0.5210957,0.2088566,0.005077847,0.2523779,0.0002997166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01364511,0.0003020703,0.9363844,0.0002206988,0.0001581664,0.0009124734,0.0003073913,0.03844282,0.00962681],"genre_scores_gemma":[0.2824036,0.0005546229,0.6792532,0.0006899909,0.0001624381,0.002604804,0.002273818,0.001414609,0.03064294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01588638,"threshold_uncertainty_score":0.05314529,"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."}}