{"id":"W177987302","doi":"10.1609/aiide.v2i1.18756","title":"Biased Cost Pathfinding","year":2006,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pathfinding; USable; Computer science; Focus (optics); Simple (philosophy); Mathematical optimization; Theoretical computer science; Mathematics; Multimedia","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002417005,0.0003393009,0.0003144524,0.0001960642,0.0002206842,0.001012039,0.00133685,0.00008163186,0.00004819826],"category_scores_gemma":[0.0002612511,0.0002525198,0.0001783671,0.0004140926,0.0003756021,0.001604025,0.0005933381,0.0003021072,0.00009583742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291758,"about_ca_system_score_gemma":0.00004745964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008872335,"about_ca_topic_score_gemma":0.0000117534,"domain_scores_codex":[0.9975771,0.00001649188,0.000749946,0.0006469604,0.0005535726,0.0004559265],"domain_scores_gemma":[0.9984878,0.0001956772,0.0004731254,0.0002895521,0.000449511,0.0001043755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001100756,0.0004697671,0.001717779,0.00002149354,0.00003066914,0.000002283037,0.001266232,0.00006180321,0.01757167,0.7787927,0.0002435646,0.1997119],"study_design_scores_gemma":[0.00004494469,0.0004317306,0.0006041374,0.0004191977,0.00001306965,0.00001421605,0.002593076,0.03764509,0.7920542,0.1648401,0.0009200484,0.000420262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8151667,0.00004721196,0.1004213,0.005484189,0.001115702,0.001529657,0.0000371408,0.0002107101,0.07598741],"genre_scores_gemma":[0.998674,0.00001823625,0.0003931658,0.0002399342,0.00007678854,0.00005705345,0.0000021314,0.00001631445,0.0005223741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7744825,"threshold_uncertainty_score":0.9999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04809087004094548,"score_gpt":0.2833458941029822,"score_spread":0.2352550240620367,"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."}}