{"id":"W128122349","doi":"10.7939/r3-q72g-5y63","title":"Correct and efficient search algorithms in the presence of repetitions","year":2005,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Correctness; Computer science; Search tree; Algorithm; Depth-first search; Search algorithm; Solver; Tree (set theory); Theoretical computer science; Mathematics; Mathematical optimization","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":[0.0001070793,0.00004354234,0.00007479626,0.00009285196,0.00005607897,0.00001672066,0.000727557,0.00002578982,0.0000618606],"category_scores_gemma":[0.00002567278,0.00003923208,0.0000268396,0.0003133764,0.0002090718,0.0004758889,0.0002820973,0.00007896789,0.00000961572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005317429,"about_ca_system_score_gemma":0.00004872683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009629867,"about_ca_topic_score_gemma":0.0002004487,"domain_scores_codex":[0.9994447,0.00008142622,0.00008847519,0.0001470949,0.0001384241,0.00009989965],"domain_scores_gemma":[0.9990921,0.0005526485,0.00003841199,0.0002718223,0.00001732894,0.00002766995],"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":[0.00009184092,0.001052193,0.04642896,0.00008076862,0.00004235456,0.00007223443,0.3161049,0.02702976,0.0007203817,0.4541087,0.0092011,0.1450667],"study_design_scores_gemma":[0.0003019442,0.0002722011,0.02925406,0.0001832993,0.00001245748,0.00003178014,0.01470063,0.9037041,0.02524748,0.001964503,0.02401968,0.0003078629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403427,0.0001106178,0.02527128,0.008770573,0.00005918424,0.0001823812,0.000002219105,0.00002166394,0.02523942],"genre_scores_gemma":[0.9853084,0.00004283557,0.01353336,0.00005900254,0.000009969638,8.154709e-8,9.048645e-7,0.000001790205,0.001043633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8766744,"threshold_uncertainty_score":0.1599838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663212834024344,"score_gpt":0.2217457773137804,"score_spread":0.205113648973537,"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."}}