{"id":"W2292030126","doi":"10.1007/978-3-642-21043-3_35","title":"Granular State Space Search","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Granular computing; Abstraction; Computer science; Rough set; Theoretical computer science; State (computer science); Hierarchy; State space; Graph; Set (abstract data type); Space (punctuation); Algorithm; Artificial intelligence; Mathematics; 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":[0.000818706,0.0006488588,0.001557766,0.001103193,0.0005638849,0.002002023,0.0009616548,0.001060167,0.01186888],"category_scores_gemma":[0.002442882,0.0005478797,0.0009510656,0.001922562,0.0008587971,0.002275635,0.002519056,0.00150514,0.001202715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931413,"about_ca_system_score_gemma":0.0009208781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986027,"about_ca_topic_score_gemma":0.002249751,"domain_scores_codex":[0.9996007,0.00008606369,0.00002807059,0.00009219331,0.0001403376,0.00005260732],"domain_scores_gemma":[0.9994401,0.0003113126,0.00003857824,0.0001160469,0.00005889581,0.00003508595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002902262,0.0001038895,0.0004978023,0.0002479477,0.0001043751,0.00008369706,0.00009844269,0.4704976,0.002080906,0.1906715,0.008330027,0.3269935],"study_design_scores_gemma":[0.0000226629,0.00004599269,0.0001196463,0.00003071904,0.00001752163,0.00003450358,0.00002295437,0.890419,0.0007656315,0.1055271,0.002982611,0.00001164327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01963698,0.00150388,0.9520595,0.000448443,0.0001689771,0.0001000066,0.0002923965,0.0008852458,0.02490455],"genre_scores_gemma":[0.6144809,0.001642429,0.3522641,0.000277589,0.0001422833,0.0003409541,0.001161773,0.0003134045,0.02937652],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01186888,"threshold_uncertainty_score":0.03970534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863960850834845,"score_gpt":0.2434750210249129,"score_spread":0.2148354125165645,"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."}}