{"id":"W4321428174","doi":"10.1145/2093548.2093574","title":"The grand challenge of computer Go","year":2012,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Sixth Framework Programme; Seventh Framework Programme","keywords":"Monte Carlo tree search; Computer science; Monte Carlo method; Tree (set theory); Artificial intelligence; Game tree; Theoretical computer science; Machine learning; Game theory; Mathematical economics; Sequential game; Mathematics","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":[0.002238341,0.0006001252,0.0005309742,0.0008786664,0.002338044,0.00520029,0.001477428,0.00274154,0.01475915],"category_scores_gemma":[0.01084428,0.0002450868,0.0004326897,0.0008941354,0.006414582,0.008954646,0.00411369,0.004552156,0.003436193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002292123,"about_ca_system_score_gemma":0.002440575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00499732,"about_ca_topic_score_gemma":0.004714589,"domain_scores_codex":[0.9980136,0.0007870733,0.00005472502,0.0003046271,0.0005694234,0.0002705092],"domain_scores_gemma":[0.9969277,0.001568458,0.00008617606,0.0003970624,0.0005593401,0.0004612772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006847148,0.00002841342,0.0002859284,0.0001076421,0.00001258078,0.0000453618,0.000423668,0.00284534,0.0003641457,0.8788971,0.04588757,0.07103378],"study_design_scores_gemma":[0.00002121327,0.00004383238,0.0003659351,0.0002186287,0.000009040286,0.0001738511,0.0006147128,0.00969094,0.0006510264,0.5960301,0.392148,0.00003265473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04608418,0.03684025,0.1834471,0.1884936,0.004700725,0.0001411947,0.000434045,0.001549721,0.538309],"genre_scores_gemma":[0.6803277,0.02533627,0.1333265,0.02025596,0.003223656,0.0002977232,0.0007015534,0.001502387,0.1350284],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01475915,"threshold_uncertainty_score":0.04937428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080938249366108,"score_gpt":0.3387268185554478,"score_spread":0.230632993618837,"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."}}