{"id":"W49698117","doi":"10.1609/icaps.v24i1.13680","title":"Improved Features for Runtime Prediction of Domain-Independent Planners","year":2014,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Benchmark (surveying); Planner; Computer science; Set (abstract data type); Domain (mathematical analysis); Variation (astronomy); Range (aeronautics); Machine learning; Artificial intelligence; Point (geometry); Mathematics; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000698938,0.0001465478,0.0001896407,0.0001457052,0.0001544255,0.0001559959,0.0007704853,0.00009935224,0.000002072061],"category_scores_gemma":[0.000231979,0.00011209,0.0000648552,0.0001102047,0.00004905281,0.0002164846,0.0001342863,0.0001939297,3.995775e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002203975,"about_ca_system_score_gemma":0.00004597827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001536439,"about_ca_topic_score_gemma":2.972996e-7,"domain_scores_codex":[0.9988884,0.00001081516,0.0003081015,0.0002904981,0.0003257472,0.0001764853],"domain_scores_gemma":[0.9989239,0.0001590983,0.0004051556,0.00009397144,0.000368889,0.0000490062],"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":[0.0004699982,0.0001332193,0.02745581,0.0004400997,0.0003533956,8.015783e-7,0.006360917,0.01038552,0.4669665,0.48111,0.002049211,0.004274461],"study_design_scores_gemma":[0.0005666101,0.000200345,0.004041516,0.0007694231,0.00001336979,0.00001413144,0.0002941726,0.9533028,0.03510586,0.005472682,0.00009680945,0.0001222932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503003,0.00006877288,0.04039774,0.002085171,0.000745869,0.00031296,0.00004838685,0.0004254136,0.005615376],"genre_scores_gemma":[0.9640785,0.000002663515,0.03565945,0.00008716229,0.00005344693,0.00001352516,0.000008163969,0.000008215507,0.00008890656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9429173,"threshold_uncertainty_score":0.4570898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215283963574559,"score_gpt":0.2579435565846777,"score_spread":0.2364151602272218,"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."}}