{"id":"W2402757365","doi":"","title":"The Critical Exponent is Computable for Automatic Sequences","year":2011,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Exponent; Mathematics; Computer science","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":[0.002110192,0.001058534,0.001576351,0.004551002,0.002544865,0.007297477,0.001427885,0.002172541,0.009377672],"category_scores_gemma":[0.02813745,0.0008977665,0.00100906,0.002342833,0.006720035,0.01850347,0.003909558,0.005330592,0.0009292574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003512491,"about_ca_system_score_gemma":0.001480852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081917,"about_ca_topic_score_gemma":0.001116744,"domain_scores_codex":[0.9982918,0.0002888506,0.0001115003,0.0004642086,0.0004982175,0.0003454058],"domain_scores_gemma":[0.9748787,0.02008249,0.001012792,0.001716087,0.001250216,0.001059649],"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":[0.0001594298,0.0000318262,0.001444568,0.0001195036,0.00001426284,0.0001317636,0.000396104,0.001326869,0.001142099,0.9861916,0.001246945,0.007794879],"study_design_scores_gemma":[0.00002671305,0.00001179432,0.0002898136,0.00002949557,0.00001222629,0.0000828182,0.0000594059,0.005934273,0.0007720739,0.991505,0.001264401,0.00001190075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6184682,0.002453854,0.2640899,0.007986675,0.0005851095,0.0001221633,0.0006631221,0.001301223,0.1043297],"genre_scores_gemma":[0.9779593,0.0005635309,0.01369817,0.0003912945,0.0003137286,0.00007808265,0.0002378061,0.0001864672,0.006571727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009377672,"threshold_uncertainty_score":0.03137141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450905477491213,"score_gpt":0.2071201145429167,"score_spread":0.06202956679379534,"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."}}