{"id":"W2005854230","doi":"10.1109/fpt.2013.6718424","title":"From C to Blokus Duo with LegUp high-level synthesis","year":2013,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Verilog; High-level synthesis; Field-programmable gate array; Computer science; Stratix; Pruning; Software; Bitwise operation; Computer architecture; Hardware description language; Integer (computer science); Embedded system; Parallel computing; 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":[0.0004337611,0.001286758,0.0003867019,0.0008291032,0.0003530188,0.001055049,0.001272695,0.0005120953,0.02433811],"category_scores_gemma":[0.001610662,0.0004742253,0.0007063012,0.0004587174,0.0005065278,0.000485305,0.0007284651,0.001236255,0.007563165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006539222,"about_ca_system_score_gemma":0.001316573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003207357,"about_ca_topic_score_gemma":0.003561479,"domain_scores_codex":[0.999499,0.0000680948,0.00003236362,0.00007239699,0.0002298817,0.00009824539],"domain_scores_gemma":[0.9995691,0.0001527053,0.00003098747,0.00006909708,0.0001464741,0.00003161034],"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":[0.0008682256,0.000322381,0.002047963,0.001484611,0.0001474539,0.001082409,0.0005301805,0.1654661,0.1015406,0.09819431,0.1099585,0.5183573],"study_design_scores_gemma":[0.0005272189,0.0005438112,0.001462197,0.0004721685,0.0001017704,0.0006387221,0.0001059445,0.4736698,0.1444578,0.06871863,0.3091471,0.0001549047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01094977,0.0002346734,0.9008552,0.0002698207,0.0001385133,0.0004260042,0.001420227,0.04914091,0.03656486],"genre_scores_gemma":[0.1424179,0.0003269669,0.8239024,0.0006665661,0.00005885362,0.001025352,0.003859756,0.01135972,0.01638241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02433811,"threshold_uncertainty_score":0.08141905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473519993422045,"score_gpt":0.2457930410954519,"score_spread":0.2110578411612315,"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."}}