{"id":"W4396697277","doi":"10.2139/ssrn.4819005","title":"Cornering Robots to Synchronize a Dfa","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"semigroups and automata theory","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Robot; Synchronization (alternating current); Computer science; Artificial intelligence; Computer network","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":[0.0009669081,0.0005838088,0.0008877331,0.000749234,0.001100094,0.001354808,0.001192453,0.001505909,0.01108168],"category_scores_gemma":[0.004890251,0.0006399375,0.001176338,0.0006113706,0.00215017,0.002848321,0.003569173,0.00182854,0.001310828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005822898,"about_ca_system_score_gemma":0.0006457172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051618,"about_ca_topic_score_gemma":0.001377531,"domain_scores_codex":[0.9991272,0.0001787054,0.00008031657,0.0002734317,0.0001756274,0.0001646677],"domain_scores_gemma":[0.9971257,0.001501378,0.0001952318,0.0006818777,0.0002677983,0.0002280772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006333712,0.000177608,0.002453536,0.0003203675,0.0001408674,0.001068379,0.002386702,0.1297572,0.03798105,0.7378303,0.00403603,0.08321452],"study_design_scores_gemma":[0.0003153436,0.0003239378,0.0006212513,0.00006249888,0.0001128619,0.0002855068,0.0004564203,0.4681374,0.01202813,0.5045348,0.01304518,0.00007648976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2014564,0.0001854322,0.7721811,0.0004784311,0.0003352049,0.0001555966,0.0001773218,0.002723312,0.02230722],"genre_scores_gemma":[0.8958337,0.0001114322,0.09038892,0.0001573821,0.00005808096,0.000246948,0.000195981,0.0003461913,0.01266142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01108168,"threshold_uncertainty_score":0.03707188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008451019599908616,"score_gpt":0.2425913460804222,"score_spread":0.2341403264805136,"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."}}