{"id":"W4412791354","doi":"10.1016/j.jcss.2025.103696","title":"Exploring wedges of an oriented grid by an automaton with pebbles","year":2025,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec en Outaouais","keywords":"Grid; Automaton; Computer science; Cellular automaton; Theoretical computer science; Mathematics; Algorithm; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569249,0.0003898194,0.0007736211,0.0004575778,0.0007960966,0.000910138,0.001110308,0.0008588511,0.005910626],"category_scores_gemma":[0.001529097,0.0005680716,0.0006720655,0.0004671105,0.001019856,0.001350491,0.002157697,0.0007325631,0.0005525482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409225,"about_ca_system_score_gemma":0.0005549698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003420763,"about_ca_topic_score_gemma":0.003337861,"domain_scores_codex":[0.9998271,0.0000478846,0.00001175235,0.00005134162,0.00002950194,0.00003231381],"domain_scores_gemma":[0.9992622,0.0004046822,0.00005298347,0.000109106,0.00005699392,0.0001141361],"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":[0.0005017586,0.00014542,0.002908549,0.0001259754,0.00004977383,0.0006406317,0.0003590178,0.8967018,0.01121063,0.0572747,0.00128797,0.02879382],"study_design_scores_gemma":[0.00003324153,0.00006503436,0.0001241783,0.00001474589,0.00000890403,0.00003600662,0.00007483604,0.9765797,0.0008640051,0.02141847,0.0007704727,0.00001044929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5003356,0.0001993357,0.4831066,0.0002662623,0.0001138657,0.00008383639,0.0001907304,0.00079677,0.01490696],"genre_scores_gemma":[0.8906692,0.00009783383,0.1060358,0.00005880757,0.000009330238,0.00008032678,0.000153572,0.0001116443,0.002783426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005910626,"threshold_uncertainty_score":0.01977307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429911256587901,"score_gpt":0.2750190246847915,"score_spread":0.2320278990260014,"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."}}