{"id":"W4389302462","doi":"10.1109/cog57401.2023.10333175","title":"Game-map Pathfinding with Per-Problem Selection of Synthesized Heuristics","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia; University of Alberta","funders":"","keywords":"Heuristics; Heuristic; Computer science; Pathfinding; Selection (genetic algorithm); Software portability; Artificial intelligence; Theoretical computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003185147,0.0001039543,0.0001510321,0.0001583554,0.00007395393,0.00007089291,0.0004494798,0.00004550203,0.00007016215],"category_scores_gemma":[0.0000641759,0.00008165304,0.00003789262,0.0007634987,0.00006384405,0.0002242799,0.0001178345,0.0000897767,0.0003306132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002861965,"about_ca_system_score_gemma":0.0000637413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007058489,"about_ca_topic_score_gemma":0.000041587,"domain_scores_codex":[0.9988951,0.00004528289,0.0002441722,0.0002733335,0.0002880454,0.0002540565],"domain_scores_gemma":[0.9991645,0.0002796306,0.00009806154,0.0002662323,0.0001414003,0.00005021045],"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":[0.0001103875,0.0003241731,0.04080249,0.0003750999,0.000178625,0.00008788331,0.01303798,0.02192818,0.07173975,0.5538724,0.006340996,0.291202],"study_design_scores_gemma":[0.0001191301,0.0003952439,0.001522393,0.0001796535,0.00001802376,0.00002121683,0.0007177204,0.5837997,0.383543,0.02676447,0.002491287,0.0004281651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08221374,0.00001108741,0.9130645,0.0003997781,0.000166963,0.0001588978,0.000001011773,0.0005907343,0.003393336],"genre_scores_gemma":[0.9166002,0.00001190606,0.08211732,0.00003332243,0.00003314116,0.00001166259,8.351146e-7,0.00001060832,0.001180965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8343865,"threshold_uncertainty_score":0.4249474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910480769633872,"score_gpt":0.2710095432316448,"score_spread":0.2419047355353061,"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."}}