{"id":"W2012996826","doi":"10.1016/j.dam.2009.02.010","title":"There are <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si47.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>k</mml:mi></mml:math>-uniform cubefree binary morphisms for all <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si48.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>k</mml:mi><mml:mo>≥</mml:mo><mml:mn>0</mml:mn></mml:math>","year":2009,"lang":"lv","type":"article","venue":"Discrete Applied Mathematics","topic":"semigroups and automata theory","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Morphism; Mathematics; Binary number; Word (group theory); Discrete mathematics; Combinatorics; Algorithm; Arithmetic; 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":[0.0009411182,0.000762331,0.0007604267,0.001173831,0.00164169,0.002380801,0.0008364373,0.0009808134,0.09239034],"category_scores_gemma":[0.00291602,0.0009113529,0.001063709,0.001179387,0.001590363,0.005252875,0.002828039,0.001771808,0.05737622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163319,"about_ca_system_score_gemma":0.001099242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768998,"about_ca_topic_score_gemma":0.002543065,"domain_scores_codex":[0.9991651,0.0001171824,0.00008288109,0.0002105802,0.000202784,0.0002215222],"domain_scores_gemma":[0.9970757,0.000974506,0.0002176177,0.0004623512,0.0007111605,0.000558722],"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":[0.0004365305,0.0001757306,0.002608334,0.0005389939,0.00003030504,0.0005311752,0.001278687,0.0008133689,0.0167498,0.7818841,0.09965903,0.09529404],"study_design_scores_gemma":[0.00008766824,0.00007640896,0.005001149,0.0001491293,0.00003980934,0.001106064,0.0007570015,0.002697397,0.02296461,0.4593157,0.5075703,0.000234703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07224478,0.001423441,0.4464465,0.003145684,0.00199145,0.0002694805,0.01158494,0.0172264,0.4456674],"genre_scores_gemma":[0.4571909,0.002464754,0.2177146,0.001483986,0.0007507427,0.0006528356,0.02195448,0.009818429,0.2879692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09239034,"threshold_uncertainty_score":0.3090764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851427556991413,"score_gpt":0.2442856418429583,"score_spread":0.2257713662730441,"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."}}