{"id":"W2130070545","doi":"10.1109/tcad.2004.836735","title":"Reversible Cascades With Minimal Garbage","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Victoria","funders":"","keywords":"Garbage; Heuristics; Benchmark (surveying); Computer science; Function (biology); Garbage collection; Parallel computing; Algorithm; Programming language","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":[0.0004610085,0.0004137793,0.0006035494,0.0005873117,0.0007681666,0.0008985046,0.0009084374,0.0007396456,0.007007394],"category_scores_gemma":[0.002269488,0.0003514666,0.0008120505,0.000383683,0.0008356845,0.001913563,0.000753238,0.0005725409,0.0006992872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009396752,"about_ca_system_score_gemma":0.0006486863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006056447,"about_ca_topic_score_gemma":0.00131156,"domain_scores_codex":[0.9996282,0.00006752471,0.00002266033,0.0000768065,0.0001351898,0.00006971137],"domain_scores_gemma":[0.9992129,0.0003962205,0.00009461636,0.0001634089,0.00009217213,0.00004074012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004058005,0.00009531309,0.0007045505,0.0005237023,0.00006267738,0.0005694779,0.0001952332,0.2559609,0.1198307,0.5782763,0.00168215,0.04169316],"study_design_scores_gemma":[0.0001157285,0.0003290731,0.0004528158,0.00006465775,0.00009174317,0.0003866811,0.00008961828,0.5562999,0.1393534,0.2895943,0.01316296,0.00005931706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.397456,0.0008410494,0.5434988,0.00063686,0.0001134233,0.0002178725,0.0005027056,0.001967241,0.05476606],"genre_scores_gemma":[0.9052914,0.0005361919,0.08365373,0.0001055858,0.00002576726,0.0002282828,0.0001888737,0.000202927,0.009767169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007007394,"threshold_uncertainty_score":0.02344203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111487469034606,"score_gpt":0.2167983458529646,"score_spread":0.1956834711626186,"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."}}