{"id":"W1499762049","doi":"10.4230/dfu.vol6.12191.21","title":"Pathfinding in Games","year":2013,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pathfinding; Workgroup; Testbed; Computer science; Human–computer interaction; Toolbox; Artificial intelligence; World Wide Web; Shortest path problem; Theoretical computer science; Programming language","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":[0.0008224052,0.001138923,0.0006651899,0.0009697414,0.001972096,0.004533002,0.001407019,0.001986162,0.01530842],"category_scores_gemma":[0.005613916,0.0004782061,0.0007978475,0.0008599607,0.003664828,0.006619875,0.004355549,0.001795332,0.002126207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836155,"about_ca_system_score_gemma":0.001817508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008085561,"about_ca_topic_score_gemma":0.008027293,"domain_scores_codex":[0.9987987,0.0005944091,0.00007458259,0.000237011,0.0001860392,0.0001093705],"domain_scores_gemma":[0.9987413,0.0006890683,0.0001040079,0.0001431425,0.0001569606,0.0001655392],"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":[0.00007176461,0.00004274807,0.000540099,0.0003497466,0.00003304566,0.0001313298,0.002056466,0.02418215,0.0007451735,0.9015218,0.01085107,0.05947455],"study_design_scores_gemma":[0.00004802303,0.00006713354,0.0005031612,0.0002526396,0.00002736041,0.0002251841,0.001794225,0.05700536,0.0008488486,0.7255393,0.2136503,0.00003837698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04325051,0.005669332,0.7010915,0.008940444,0.0004961065,0.0004170898,0.0006656462,0.001598121,0.2378712],"genre_scores_gemma":[0.5551317,0.005848275,0.387197,0.0009699296,0.000170893,0.0007793811,0.001197469,0.0004943722,0.04821096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01530842,"threshold_uncertainty_score":0.05121171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205290463472283,"score_gpt":0.2652369112787808,"score_spread":0.2447078649315525,"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."}}