{"id":"W2118135417","doi":"","title":"StructMiner: a tool for alignment and detection of conserved secondary structure.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Structural alignment; Computer science; Multiple sequence alignment; Sequence (biology); Sequence alignment; Similarity (geometry); Conserved sequence; Window (computing); Structural similarity; Computational biology; Nucleic acid structure; Algorithm; Data mining; RNA; Theoretical computer science; Artificial intelligence; Biology; Base sequence; DNA; Genetics; Image (mathematics); Peptide sequence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002903928,0.003350729,0.002883843,0.005975522,0.001484173,0.002486816,0.004795952,0.002596021,0.01062399],"category_scores_gemma":[0.006258691,0.002721102,0.002297878,0.003314645,0.0008404568,0.002590119,0.002630508,0.002637423,0.01040076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000882672,"about_ca_system_score_gemma":0.001642558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167829,"about_ca_topic_score_gemma":0.001836083,"domain_scores_codex":[0.9977836,0.0006381363,0.000275947,0.0004715054,0.0007136017,0.0001172939],"domain_scores_gemma":[0.9979028,0.001216881,0.0004361632,0.000177778,0.0001724407,0.00009396705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002770411,0.0005257158,0.01070033,0.01076834,0.002103552,0.002576727,0.001364116,0.02782153,0.2088421,0.02123578,0.2559069,0.4553844],"study_design_scores_gemma":[0.0007139338,0.000758202,0.007213049,0.0006485225,0.0006545819,0.005119927,0.0003663904,0.4391556,0.2316735,0.03361416,0.2796141,0.000467955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01559263,0.004000869,0.7376445,0.0004417273,0.0001968947,0.0003537259,0.02154985,0.2169487,0.003271192],"genre_scores_gemma":[0.04824002,0.001492187,0.8891307,0.0005747664,0.00006763497,0.00178033,0.0444633,0.01117892,0.003072155],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01062399,"threshold_uncertainty_score":0.03554082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008705121575601266,"score_gpt":0.1949127793682687,"score_spread":0.1862076577926674,"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."}}