{"id":"W3108501164","doi":"10.1007/978-3-030-62536-8_17","title":"Recognition and Complexity Results for Projection Languages of Two-Dimensional Automata","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Automaton; Projection (relational algebra); Theoretical computer science; Artificial intelligence; Algorithm","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":[0.0002927703,0.0001517927,0.0001880941,0.00006376317,0.00006726553,0.00002425222,0.000180932,0.0001528558,0.000001276745],"category_scores_gemma":[0.0001607642,0.0001223354,0.00005059609,0.00005723646,0.0003556988,0.000003856288,0.0002801828,0.0001231249,8.639387e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001220432,"about_ca_system_score_gemma":0.00006943246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001093714,"about_ca_topic_score_gemma":0.00003120412,"domain_scores_codex":[0.9989285,0.00001656233,0.0002203784,0.0005668271,0.0001296328,0.0001380967],"domain_scores_gemma":[0.9994581,0.00008081565,0.0001488135,0.0001559288,0.0001160054,0.00004036579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004229784,0.0000498749,0.00007790599,0.0001676845,0.00003223542,0.000008059937,0.0001126118,0.00183351,0.1889446,0.0004414899,0.00009537284,0.8078137],"study_design_scores_gemma":[0.005801708,0.007841038,0.00178528,0.001247097,0.0000891811,0.0002079875,0.000002220958,0.3143516,0.4296229,0.2331613,0.003741792,0.002147895],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1124269,0.0006470245,0.8812287,0.0008380107,0.0006521321,0.001140838,0.0004376668,0.00006661055,0.002562026],"genre_scores_gemma":[0.8505138,0.00001383819,0.1477914,0.0005791766,0.0005758028,0.000004294149,0.000460626,0.00001236671,0.00004868076],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8056658,"threshold_uncertainty_score":0.4988694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744060430373728,"score_gpt":0.2945945398114124,"score_spread":0.2371539355076751,"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."}}