{"id":"W2119197205","doi":"10.1109/ast.2009.17","title":"Toward State Space Island Identification in Multi-process Bidirectional Heuristic Search","year":2009,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Speedup; Computer science; Overhead (engineering); Heuristic; Process (computing); Identification (biology); State space; State (computer science); Variety (cybernetics); Algorithm; Parallel computing; Mathematics; Artificial intelligence","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":[0.0004691761,0.00008486907,0.00008620532,0.0001601382,0.00008397672,0.0001678623,0.0003230688,0.0000335097,0.00001899032],"category_scores_gemma":[0.00004161798,0.00007944814,0.0000196672,0.0004602841,0.00001326023,0.0003074325,0.00002601375,0.0001510822,0.00007736112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003536172,"about_ca_system_score_gemma":0.00008117469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001492949,"about_ca_topic_score_gemma":0.00006079474,"domain_scores_codex":[0.9990053,0.00006008554,0.0001779073,0.0003042523,0.0002268754,0.0002256389],"domain_scores_gemma":[0.9995599,0.00007766031,0.0000391551,0.0001891149,0.00007656695,0.00005757371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001890824,0.001662075,0.1917107,0.0004368621,0.00007212641,0.0004416074,0.05770981,0.3677821,0.01459931,0.03168743,0.01951703,0.3141918],"study_design_scores_gemma":[0.0005281272,0.00007989312,0.0868099,0.00005629227,0.00000205264,0.00002087764,0.0000771614,0.9000539,0.005737348,0.006017326,0.0003504993,0.0002666499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05551167,0.00009021455,0.9412769,0.001808528,0.0001295569,0.00009100966,0.000003681927,0.0001534597,0.0009349473],"genre_scores_gemma":[0.9808632,0.00000923117,0.01692818,0.0001372752,0.00001757949,0.000003845495,0.000008485058,0.000003455779,0.002028744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9253516,"threshold_uncertainty_score":0.3239801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640868598039233,"score_gpt":0.3102758843921355,"score_spread":0.2638671984117432,"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."}}