{"id":"W4416013895","doi":"10.1609/aiide.v21i1.36839","title":"Adaptive Visual Navigation Assistant in 3D RPGs","year":2025,"lang":"","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pipeline (software); Task (project management); Set (abstract data type); Key (lock); Affordance; Baseline (sea); Identification (biology); Abstraction; Visualization","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":[0.0001991689,0.0004338717,0.0004553697,0.0003211926,0.0001227253,0.0005609952,0.0003614868,0.000156079,0.00004788224],"category_scores_gemma":[0.0002088564,0.0003702405,0.0001499851,0.00055723,0.0002847297,0.0007835362,0.000217239,0.0004974182,0.00001900197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004340176,"about_ca_system_score_gemma":0.000073201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005832205,"about_ca_topic_score_gemma":0.00001376242,"domain_scores_codex":[0.9976059,0.00002016467,0.001022353,0.0005501077,0.0003992729,0.000402186],"domain_scores_gemma":[0.9988437,0.0001391651,0.0003242135,0.0001336256,0.0004724344,0.00008682302],"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":[0.002896594,0.002432937,0.004441894,0.0007050592,0.0004796813,0.000006336714,0.008677535,0.02015738,0.03123343,0.4745991,0.0001129425,0.4542571],"study_design_scores_gemma":[0.0001512979,0.0007691258,0.0009436025,0.004917494,0.00005737919,0.000002003316,0.01131982,0.7493434,0.2144427,0.01752204,0.0001173457,0.0004138007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261756,0.0001189657,0.03167794,0.001315507,0.001123791,0.001378252,0.00006842757,0.00004493539,0.03809657],"genre_scores_gemma":[0.9992167,0.0001620417,0.00006257741,0.0001107557,0.00003538197,0.00003634926,0.000008909793,0.0000238595,0.0003433804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.729186,"threshold_uncertainty_score":0.9998749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703984817755868,"score_gpt":0.2800033643453351,"score_spread":0.2529635161677764,"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."}}