{"id":"W1884798717","doi":"10.37236/218","title":"Trees and Meta-Fibonacci Sequences","year":2009,"lang":"en","type":"article","venue":"The Electronic Journal of Combinatorics","topic":"semigroups and automata theory","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fibonacci number; Recursion (computer science); Combinatorics; Mathematics; Interpretation (philosophy); Integer (computer science); Tree (set theory); Constraint (computer-aided design); Discrete mathematics; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271431,0.0001187954,0.0002745753,0.00007312673,0.0001229729,0.0001199964,0.001059017,0.00003308378,0.000005366494],"category_scores_gemma":[0.00003550404,0.00006450731,0.0001211142,0.0003051539,0.00004270425,0.0004316675,0.00005390316,0.0003541088,0.000001888493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006288997,"about_ca_system_score_gemma":0.000166306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002420915,"about_ca_topic_score_gemma":0.00000116319,"domain_scores_codex":[0.9988589,0.0001214519,0.0002597866,0.0001033359,0.0003103499,0.0003461949],"domain_scores_gemma":[0.9991608,0.0001710341,0.0002589224,0.0002599278,0.00008917672,0.00006015004],"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":[0.000004938218,0.00003495729,0.00000980836,9.4038e-7,0.0001424887,0.000008508078,0.000178451,0.00001320915,0.0002865151,0.9942255,0.0002195516,0.00487514],"study_design_scores_gemma":[0.0002387783,0.0006055422,0.0004831292,0.00000292528,0.0002218524,0.0004622396,0.00003326746,0.000578021,0.001308687,0.9937408,0.002239949,0.0000848249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4904828,0.1104063,0.353754,0.04149438,0.000833257,0.0002531595,8.324805e-7,0.0001562609,0.00261908],"genre_scores_gemma":[0.9982116,0.0009506134,0.0001689861,0.0004811513,0.00004039623,5.732248e-7,5.288107e-8,0.000003626461,0.0001429779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5077288,"threshold_uncertainty_score":0.2630532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110436457372468,"score_gpt":0.2329692579977299,"score_spread":0.2218648934240052,"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."}}