{"id":"W2115044025","doi":"10.1186/1471-2105-14-s9-s4","title":"Classification and assessment tools for structural motif discovery algorithms","year":2013,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Saud University; University of Ottawa","keywords":"Motif (music); Computer science; Structural motif; Benchmark (surveying); Sequence motif; DNA microarray; Data mining; Computational biology; Drug discovery; Machine learning; Algorithm; Artificial intelligence; Bioinformatics; Biology; DNA; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008202797,0.0001216465,0.0001025442,0.00002184577,0.00008946676,0.0002862984,0.000113563,0.0001021549,0.00000472536],"category_scores_gemma":[0.00004000782,0.0001037566,0.0000522025,0.00002620105,0.00004652115,0.0000410294,0.00007828281,0.00004573056,0.00000461618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798744,"about_ca_system_score_gemma":0.00006689465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005491931,"about_ca_topic_score_gemma":0.000007675889,"domain_scores_codex":[0.9993607,0.000008361571,0.0002622999,0.0001232872,0.00007462413,0.000170685],"domain_scores_gemma":[0.9994932,0.00002300834,0.0001243086,0.0002323716,0.00007194948,0.00005511433],"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":[0.0001210636,0.0002213886,0.1085607,0.002804762,0.0005531902,5.283164e-7,0.00117711,0.003860041,0.2680203,0.03497775,0.01757936,0.5621238],"study_design_scores_gemma":[0.0005148408,0.0001498196,0.1129185,0.00000749334,0.00001629593,0.000009122324,0.000608779,0.881642,0.0007874524,0.0007563028,0.002377276,0.0002120987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7626228,0.00005872692,0.2358717,0.00006422783,0.0001256672,0.000527396,0.00008366492,0.000009722175,0.0006359905],"genre_scores_gemma":[0.524587,0.00009504792,0.4740565,0.000130271,0.0001018569,0.00008438888,0.0006520483,0.0000154442,0.000277385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.877782,"threshold_uncertainty_score":0.4231071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212449627992924,"score_gpt":0.2698489861028622,"score_spread":0.2486040233035698,"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."}}