{"id":"W2952508336","doi":"10.1017/9781316135167.025","title":"Phutball Endgames Are Hard","year":2002,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contrast (vision); Combinatorial game theory; Mathematical economics; Combinatorics; Computer science; Mathematics; Sequential game; Game theory; Artificial intelligence","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":[0.000694684,0.002428395,0.00192666,0.0007980198,0.003093217,0.006223058,0.002918502,0.002913864,0.05440923],"category_scores_gemma":[0.006169854,0.00131762,0.00193008,0.001267109,0.001855622,0.008661336,0.003988647,0.004692398,0.009800321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765919,"about_ca_system_score_gemma":0.001415428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003842914,"about_ca_topic_score_gemma":0.005376866,"domain_scores_codex":[0.9983245,0.00026026,0.00008303373,0.000590953,0.0003175734,0.0004237653],"domain_scores_gemma":[0.9957383,0.003063911,0.0003404237,0.0002443478,0.0002204208,0.0003926542],"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":[0.002883828,0.001493304,0.007330452,0.003893508,0.0003765709,0.002870553,0.001108322,0.1009404,0.005331802,0.3914981,0.2591396,0.2231336],"study_design_scores_gemma":[0.0004795068,0.0003593316,0.003292424,0.000386974,0.00009373484,0.001719113,0.001003544,0.1112505,0.003547528,0.7836615,0.09411922,0.00008666279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.264264,0.005077846,0.2121506,0.01169104,0.001740625,0.00192996,0.01947782,0.004720629,0.4789475],"genre_scores_gemma":[0.7382625,0.002836837,0.06847258,0.003898512,0.0008407939,0.00113681,0.02297848,0.001010428,0.1605629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05440923,"threshold_uncertainty_score":0.182017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09175700883234549,"score_gpt":0.2939007554506296,"score_spread":0.2021437466182841,"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."}}