{"id":"W1503227914","doi":"10.1142/4802","title":"Words, Semigroups, and Transductions","year":2001,"lang":"en","type":"book","venue":"WORLD SCIENTIFIC eBooks","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Psychology","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":[0.0003511968,0.0008483649,0.0003767034,0.001491649,0.00111576,0.002596001,0.00048159,0.0005876942,0.01195346],"category_scores_gemma":[0.0008608326,0.000293287,0.0004022447,0.001601734,0.003772144,0.004929277,0.0008982547,0.001136719,0.003881804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135502,"about_ca_system_score_gemma":0.00067415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104426,"about_ca_topic_score_gemma":0.001169728,"domain_scores_codex":[0.9997246,0.0000609821,0.00002360789,0.00006741063,0.00009542421,0.00002801328],"domain_scores_gemma":[0.9998086,0.0001006711,0.00001169485,0.00002833006,0.00003249768,0.00001823727],"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":[0.000007086246,0.000004948073,0.00003398198,0.00007737963,0.000002536113,0.00004018336,0.0003145799,0.0002795976,0.000384815,0.9511779,0.01740371,0.03027331],"study_design_scores_gemma":[0.000003854392,0.00001357123,0.0001117523,0.0000562729,0.000002338563,0.0001770492,0.0001212922,0.0005109957,0.0001512207,0.6613991,0.3374481,0.000004320442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01000126,0.1897916,0.06901803,0.004247038,0.004357899,0.00009852844,0.0005721523,0.0005170202,0.7213964],"genre_scores_gemma":[0.1825263,0.09142277,0.06464069,0.002722032,0.005236426,0.0004462503,0.001249568,0.0003548413,0.6514011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01195346,"threshold_uncertainty_score":0.03998834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542894207527312,"score_gpt":0.2303855321048666,"score_spread":0.2149565900295935,"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."}}