{"id":"W2017338196","doi":"10.1142/s0129054111007964","title":"ORTHOGONAL SHUFFLE ON TRAJECTORIES","year":2011,"lang":"en","type":"article","venue":"International Journal of Foundations of Computer Science","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Word (group theory); Corollary; Catenation; Set (abstract data type); Orthogonal array; Computer science; Literal (mathematical logic); Trajectory; Combinatorics; Mathematics; Arithmetic; Algorithm; Geometry; Programming language","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":[0.0003434863,0.00005492417,0.00007180505,0.0001221674,0.00004905145,0.00003166093,0.0007033367,0.00002377487,0.00002631426],"category_scores_gemma":[0.00009609675,0.00004141603,0.0000737865,0.0001091573,0.00025917,0.00001984398,0.0001104355,0.00005542983,0.000004739396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001290887,"about_ca_system_score_gemma":0.0001532077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001486831,"about_ca_topic_score_gemma":0.00000125016,"domain_scores_codex":[0.9992198,0.00001782084,0.0002520325,0.0001111169,0.0003172343,0.00008193471],"domain_scores_gemma":[0.9988822,0.00001953095,0.0002213,0.00009178209,0.0007413131,0.00004381048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008242139,0.001471036,0.05387802,0.000009936191,0.000381125,0.00004429921,0.0008069169,0.002161339,0.6203603,0.07831284,0.00235933,0.2393907],"study_design_scores_gemma":[0.001700885,0.006370346,0.3938976,0.0001723436,0.00002987449,0.0005530011,0.00008184437,0.00220985,0.5519253,0.007611172,0.03493026,0.0005175446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930784,0.00001629891,0.1022153,0.000101286,0.001229302,0.00002269269,0.000002626058,0.000002533884,0.003331558],"genre_scores_gemma":[0.9719219,0.000008994779,0.0275541,0.0001378123,0.0003403196,2.707453e-7,0.000003230195,0.000001921741,0.00003151566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3400196,"threshold_uncertainty_score":0.1688897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615053148239461,"score_gpt":0.3031008882473298,"score_spread":0.2669503567649352,"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."}}