{"id":"W1965935527","doi":"10.1016/j.tcs.2005.09.042","title":"Solving <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"><mml:mn>7</mml:mn><mml:mo>×</mml:mo><mml:mn>7</mml:mn></mml:math> Hex with domination, fill-in, and virtual connections","year":2005,"lang":"lv","type":"article","venue":"Theoretical Computer Science","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Scroll; Algorithm; Computer science; Artificial intelligence; Theology; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003727906,0.0008715225,0.0005986622,0.0004083387,0.001492458,0.002499961,0.001487498,0.00101168,0.1285826],"category_scores_gemma":[0.001976816,0.0003663088,0.00101084,0.0005882487,0.000830883,0.003340166,0.00324562,0.001511307,0.02036074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007609816,"about_ca_system_score_gemma":0.001057956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002870269,"about_ca_topic_score_gemma":0.007319833,"domain_scores_codex":[0.9996233,0.00009555295,0.00002041347,0.00009555988,0.00009362949,0.00007153345],"domain_scores_gemma":[0.9995889,0.000168879,0.00002201995,0.00008644138,0.00007795227,0.00005580623],"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":[0.0001770925,0.0001405058,0.0007069195,0.0003874089,0.00004100801,0.0002683861,0.000861169,0.01455506,0.002805391,0.7343045,0.1158109,0.1299416],"study_design_scores_gemma":[0.000110901,0.00006012177,0.0003538895,0.00009151132,0.00002878258,0.0002025767,0.0008663478,0.06517383,0.005211697,0.6712099,0.2566546,0.00003580468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01956427,0.0001499474,0.5410327,0.001896712,0.0003907244,0.000225875,0.001917591,0.002611894,0.4322103],"genre_scores_gemma":[0.238422,0.0003385732,0.482164,0.0004883331,0.0001035918,0.0003602851,0.003759854,0.002175156,0.2721881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1285826,"threshold_uncertainty_score":0.4301516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570695631548021,"score_gpt":0.2501846992180564,"score_spread":0.2344777429025761,"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."}}