{"id":"W2180554656","doi":"10.1609/aiide.v10i3.12744","title":"I Can Jump! Exploring Search Algorithms for Simulating Platformer Players","year":2014,"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":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jump; Task (project management); Computer science; Workflow; Context (archaeology); Domain (mathematical analysis); Algorithm; Search algorithm; Theoretical computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004394407,0.0003440794,0.0003519346,0.0001917892,0.0002998296,0.0008491629,0.001250069,0.00007296743,0.00001671435],"category_scores_gemma":[0.0006391406,0.0002632644,0.0001957948,0.0002854524,0.0002882319,0.001798271,0.000566538,0.0003071023,0.00002323674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248308,"about_ca_system_score_gemma":0.00004687478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004557289,"about_ca_topic_score_gemma":0.000007607117,"domain_scores_codex":[0.9974847,0.00001465499,0.0007083362,0.0006999627,0.0005421309,0.0005502598],"domain_scores_gemma":[0.9981095,0.0005123404,0.0003392721,0.0002759559,0.0006039014,0.0001590314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001527755,0.0001880982,0.0004660399,0.00004650696,0.00005292767,2.904207e-7,0.006432233,0.0004690333,0.005082837,0.3981423,0.00002738954,0.5889396],"study_design_scores_gemma":[0.00004950138,0.0007613332,0.00006929523,0.0003532852,0.00001089103,0.000003941303,0.006556046,0.3950923,0.5353165,0.0611618,0.0003048558,0.0003202175],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.654174,0.00001085372,0.3336669,0.002871213,0.0008142315,0.001134955,0.00002917682,0.0001073028,0.007191364],"genre_scores_gemma":[0.9977319,0.00001781294,0.001507119,0.0002601543,0.0001059131,0.0001234578,0.000002004404,0.00002260925,0.000229076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5886194,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369444315521141,"score_gpt":0.3245683836803044,"score_spread":0.1876239521281903,"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."}}