{"id":"W3021945924","doi":"10.1145/3386569.3392391","title":"Graph2Plan","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":242,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Carleton University","funders":"National Natural Science Foundation of China","keywords":"Floorplan; Raster graphics; Convolutional neural network; Set (abstract data type); Graph; Integrated circuit layout; Page layout; Artificial neural network","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":[0.0004355969,0.002855679,0.0006677827,0.001382226,0.0005095559,0.001773484,0.003446107,0.001349788,0.04338849],"category_scores_gemma":[0.002182344,0.0009809387,0.00229385,0.001462086,0.0005557808,0.002570724,0.002031041,0.002369145,0.01789918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172192,"about_ca_system_score_gemma":0.0013667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000946,"about_ca_topic_score_gemma":0.0331765,"domain_scores_codex":[0.999477,0.00006291363,0.000026253,0.0002223842,0.0001554157,0.00005615728],"domain_scores_gemma":[0.9994887,0.0001398282,0.00003043597,0.0002291536,0.00007811286,0.00003374537],"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":[0.0003491208,0.0002241396,0.002018441,0.001873822,0.0002053499,0.0004032367,0.000193687,0.1212707,0.00848513,0.03746541,0.4006991,0.4268119],"study_design_scores_gemma":[0.0001534313,0.0001521696,0.0009559474,0.0001676531,0.00005534659,0.0005134116,0.00007600793,0.474627,0.01420961,0.06868786,0.4403269,0.0000747863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006680144,0.001600797,0.6900696,0.0006609246,0.0003588597,0.0004960612,0.05807026,0.216879,0.02518449],"genre_scores_gemma":[0.06526422,0.001412352,0.649884,0.001008914,0.00006946432,0.0008632044,0.2412343,0.02008774,0.02017578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04338849,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04197365238457219,"score_gpt":0.2821298505209001,"score_spread":0.2401561981363279,"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."}}