{"id":"W3039747048","doi":"10.1145/3386569.3392380","title":"TilinGNN","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tile; Robustness (evolution); Graph; Convolutional neural network; Dual graph; Tessellation (computer graphics)","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":[0.0002334112,0.0007843194,0.0006495512,0.0004331386,0.0003885725,0.0008736028,0.001701827,0.001115355,0.01589022],"category_scores_gemma":[0.001274188,0.0003732816,0.0007657399,0.0004690279,0.0004435657,0.001187541,0.00115387,0.001012689,0.004331126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008411213,"about_ca_system_score_gemma":0.0007811494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004558463,"about_ca_topic_score_gemma":0.01106903,"domain_scores_codex":[0.9997327,0.0000199579,0.00001458235,0.0001238171,0.00006961636,0.00003936082],"domain_scores_gemma":[0.9997681,0.00005715704,0.00001735768,0.00007563821,0.00006642034,0.00001531016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001241535,0.00007277761,0.001408376,0.0003111571,0.00007219073,0.0001760071,0.00007239267,0.4531967,0.01144852,0.03462821,0.02906494,0.4694246],"study_design_scores_gemma":[0.000009378202,0.00003731528,0.0001860297,0.00002154297,0.00001311756,0.00006288693,0.00001368143,0.9633588,0.004583219,0.01687667,0.01482776,0.000009701511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01716438,0.0006461873,0.9422721,0.0003447621,0.0003844027,0.0001268874,0.001284553,0.00955737,0.02821945],"genre_scores_gemma":[0.2966419,0.0006542401,0.6511034,0.001094493,0.0001430978,0.0004775976,0.006661091,0.001895062,0.04132894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01589022,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223254686823975,"score_gpt":0.2721270476595343,"score_spread":0.2298945007912946,"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."}}