{"id":"W3082452785","doi":"10.1145/3414685.3417796","title":"TAP-Net","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Computer science; Reinforcement learning; Container (type theory); Graph; Packing problems; Encoder; ENCODE; Artificial neural network; Mathematical optimization; Algorithm; Artificial intelligence; Theoretical computer science; Mathematics; Engineering","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":[0.0004673345,0.001321273,0.000655417,0.0006589203,0.0005508308,0.001474279,0.003304221,0.001574091,0.04677902],"category_scores_gemma":[0.002374346,0.0005951486,0.0009083023,0.0005875584,0.000505197,0.002557234,0.001987788,0.002039544,0.01237465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234334,"about_ca_system_score_gemma":0.001797902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006355721,"about_ca_topic_score_gemma":0.01203647,"domain_scores_codex":[0.9996588,0.00003905523,0.00002331245,0.0001234788,0.00008769079,0.00006759096],"domain_scores_gemma":[0.999552,0.0001565662,0.00003329471,0.00009146494,0.0001129624,0.00005380624],"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":[0.0006810309,0.0004893588,0.002463764,0.001053812,0.0001449865,0.0005385382,0.0001168491,0.327501,0.006888235,0.05306285,0.2202539,0.3868057],"study_design_scores_gemma":[0.00007489465,0.0001432906,0.0002893835,0.00007670437,0.0000302026,0.0001319877,0.0000322136,0.8927606,0.00527909,0.03682008,0.06432977,0.00003188939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03217619,0.002230356,0.7078153,0.003285161,0.001718102,0.0008444881,0.01674686,0.09684473,0.1383388],"genre_scores_gemma":[0.3440008,0.002265496,0.4925617,0.003572117,0.0003164779,0.001655138,0.04433854,0.006005215,0.1052846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04677902,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692642698113777,"score_gpt":0.216370443988352,"score_spread":0.1894440170072142,"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."}}