{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0100721,0.003033282,0.0017151,0.01633319,0.001283468,0.004074315,0.0051051,0.003767473,0.00682765],"category_scores_gemma":[0.07927176,0.0005860969,0.002832383,0.01079686,0.0008468469,0.005898395,0.002643242,0.003323735,0.004160786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00292703,"about_ca_system_score_gemma":0.002936582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002605829,"about_ca_topic_score_gemma":0.002988883,"domain_scores_codex":[0.9813336,0.003399606,0.003259037,0.002501696,0.008506302,0.0009997761],"domain_scores_gemma":[0.9367322,0.03575973,0.006229231,0.00623664,0.01373756,0.001304688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001363823,0.001420823,0.03467143,0.003507378,0.0005060317,0.0003229449,0.0003203639,0.06138036,0.004837925,0.03243029,0.1240062,0.7352324],"study_design_scores_gemma":[0.0003542576,0.0007592859,0.008816237,0.0006994272,0.0001985938,0.0009935232,0.0002865212,0.8390247,0.01579218,0.05620594,0.07671288,0.0001564852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08644456,0.01285415,0.7552235,0.003155556,0.001405332,0.002581389,0.04119141,0.0797452,0.0173988],"genre_scores_gemma":[0.2222582,0.001870722,0.7120502,0.0007660327,0.0004384082,0.003017023,0.05505249,0.002311992,0.00223497],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01633319,"threshold_uncertainty_score":0.053267,"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."}}