{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002659541,0.00009396423,0.00007948623,0.00007416382,0.00007078372,0.00001787589,0.0001423215,0.00006509449,0.0003987936],"category_scores_gemma":[0.000009332113,0.00009661889,0.00004974628,0.0004461238,0.00002827832,0.00006629856,9.19807e-7,0.0002039721,0.00009785353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006185551,"about_ca_system_score_gemma":0.000004132209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002601371,"about_ca_topic_score_gemma":0.000006262225,"domain_scores_codex":[0.9995759,0.00001025353,0.0001118035,0.0001022297,0.00008988983,0.0001098948],"domain_scores_gemma":[0.99965,0.00003683215,0.000008810874,0.0001969049,0.00001922452,0.00008822803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009831441,0.00003761365,0.0001207233,0.00007526483,0.00008240632,0.000003740843,0.00114105,0.9753941,0.0004827319,0.002804885,0.006582665,0.01326497],"study_design_scores_gemma":[0.00172604,0.0004335137,0.0009359828,0.00007928724,0.0001587469,0.00001498025,0.000234908,0.4804213,0.005087075,0.004920957,0.5048295,0.001157692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001326311,0.00009784144,0.9853991,0.004151488,0.0004584519,0.0001500856,0.00002610884,0.001101413,0.00728924],"genre_scores_gemma":[0.9935329,0.0005244375,0.00405247,0.001706434,0.00004505973,0.00002116641,0.000009175051,0.00003480469,0.00007355319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9922066,"threshold_uncertainty_score":0.4366511,"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."}}