{"id":"W2962947731","doi":"10.1142/s1793830909000312","title":"CLASSIFICATION OF NEAR-NORMAL SEQUENCES","year":2009,"lang":"en","type":"article","venue":"Discrete Mathematics Algorithms and Applications","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geology","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":[0.0001939949,0.00008234184,0.0001144453,0.00004918084,0.0001672644,0.0001072674,0.0003466383,0.00003285318,0.000004941259],"category_scores_gemma":[0.000006745434,0.00007062506,0.00004668906,0.0003427089,0.00009814138,0.0001733002,0.00004123956,0.00005239112,0.000004635567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003873655,"about_ca_system_score_gemma":0.00001779417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001809527,"about_ca_topic_score_gemma":3.209043e-7,"domain_scores_codex":[0.9993575,0.00001241298,0.0002160592,0.0001769649,0.0001274652,0.0001096042],"domain_scores_gemma":[0.9993395,0.00005722022,0.0001245587,0.0003719472,0.00005331744,0.00005341856],"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":[3.792729e-7,0.00004997816,0.00002399365,0.00001291714,0.000004825302,1.065702e-7,0.000426607,0.000006480222,0.001014501,0.9191464,0.00001317878,0.07930063],"study_design_scores_gemma":[0.0001389454,0.00009785857,0.004246665,0.00002762387,0.00001837458,0.00001246178,0.0002560708,0.1541681,0.001101033,0.8368132,0.002928957,0.000190716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008582922,0.0001177293,0.9851011,0.0006233064,0.0000126376,0.0002003995,0.000007143189,0.00007267341,0.005282059],"genre_scores_gemma":[0.7374892,0.00003561885,0.2623036,0.00005156055,0.00002638814,0.00004893276,0.000005402749,0.000003379389,0.00003590162],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7289063,"threshold_uncertainty_score":0.2880006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773718719294016,"score_gpt":0.2653631227996698,"score_spread":0.2476259356067296,"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."}}