{"id":"W1174219372","doi":"10.1007/978-3-319-21500-6_15","title":"Unary Patterns with Permutations","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Unary operation; Combinatorics; Sigma; Mathematics; Alphabet; Integer (computer science); Pi; Word (group theory); Function (biology); Discrete mathematics; Physics; Computer science; Geometry; Genetics; Philosophy; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003642759,0.0003686656,0.00029624,0.0004824417,0.0003047031,0.0002944892,0.002317348,0.0001647255,0.00002607803],"category_scores_gemma":[0.00001624963,0.0003075445,0.00006280618,0.00058935,0.0004766397,0.0006183034,0.0007165,0.0005399734,0.0000755502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801856,"about_ca_system_score_gemma":0.0009334343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002649218,"about_ca_topic_score_gemma":0.00007306487,"domain_scores_codex":[0.9971635,0.00001704317,0.0003120617,0.001163702,0.0009011783,0.0004425088],"domain_scores_gemma":[0.9978027,0.0001781055,0.000174729,0.001232082,0.000397667,0.000214709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005436006,0.0001218326,0.0003606403,0.00003766221,0.00002676846,0.000203374,0.001390644,0.1405804,0.00002885561,0.3092055,0.0002664663,0.5477723],"study_design_scores_gemma":[0.0003401807,0.0002784208,0.0008934861,0.0002730268,0.00001206275,0.0003132841,5.701636e-7,0.6263909,0.00006181416,0.3643709,0.006237107,0.0008282544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005417521,0.0003017168,0.9920061,0.001808656,0.0003786012,0.0003201643,0.00001824168,0.0001744696,0.004937829],"genre_scores_gemma":[0.1583028,0.00004013257,0.8380771,0.001088191,0.0006236288,0.00005425356,0.00003976191,0.00004976943,0.001724329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5469441,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134311225783399,"score_gpt":0.2542191838750991,"score_spread":0.2328760716172651,"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."}}