{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.003843217,0.0008700431,0.0005509196,0.0005794411,0.002461742,0.002833598,0.003556855,0.000760357,0.0006116647],"category_scores_gemma":[0.001250595,0.001043662,0.000474815,0.002191156,0.008162032,0.002861672,0.003107194,0.001390576,0.001304596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009959855,"about_ca_system_score_gemma":0.001185066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002646061,"about_ca_topic_score_gemma":0.0002968153,"domain_scores_codex":[0.9906165,0.0004313149,0.001612323,0.002514897,0.002552459,0.002272487],"domain_scores_gemma":[0.9933354,0.002406529,0.0008578326,0.001895842,0.0004975132,0.001006919],"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":[0.0002484016,0.0003558628,0.0000201022,0.0001017605,0.0001121772,0.000245784,0.005646348,0.006422773,0.001099485,0.9656571,0.001416918,0.01867332],"study_design_scores_gemma":[0.0005959407,0.001544749,0.0001127697,0.0006683065,0.0001373989,0.000785003,0.0007722077,0.9076576,0.07644876,0.008910097,0.001314464,0.001052665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7424116,0.0003080259,0.2489282,0.001890728,0.001825895,0.0001651462,0.00006925881,0.0003129725,0.004088194],"genre_scores_gemma":[0.9629217,0.0001920166,0.03343099,0.001817291,0.001206584,0.0001583756,0.00003182987,0.0001463521,0.00009487376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.956747,"threshold_uncertainty_score":0.999473,"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."}}