{"id":"W2395270384","doi":"10.1007/978-1-62703-065-6_5","title":"Computational Prediction of Secondary and Supersecondary Structures","year":2012,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Irvine; Alberta Innovates; Purdue University","keywords":"Sequence (biology); Computer science; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006573034,0.0005772449,0.0009842471,0.001135313,0.0004805363,0.0008870841,0.001221707,0.0007713314,0.002645409],"category_scores_gemma":[0.002548044,0.0004139336,0.0008320597,0.001273928,0.0003075466,0.001112086,0.0005365474,0.001105401,0.0008846628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005402646,"about_ca_system_score_gemma":0.00107016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472461,"about_ca_topic_score_gemma":0.005483876,"domain_scores_codex":[0.999809,0.00003754786,0.00001316333,0.00005191161,0.00006331415,0.00002517538],"domain_scores_gemma":[0.9986707,0.000801201,0.0001302686,0.0001091422,0.0001935131,0.0000952402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000308817,0.0001250725,0.008835306,0.0003619562,0.0001470757,0.000232739,0.00006102946,0.8484067,0.008818734,0.01432532,0.007582096,0.1107952],"study_design_scores_gemma":[0.000006592668,0.00001323728,0.0004731515,0.000005070421,0.000008865923,0.00001812058,0.000005683994,0.9945766,0.001255585,0.002961607,0.000670806,0.000004706726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3570744,0.003617453,0.6242839,0.0005727698,0.0002406749,0.0001013618,0.003210432,0.005079812,0.005819312],"genre_scores_gemma":[0.6373546,0.002204208,0.347129,0.0001173004,0.0001344832,0.0002302836,0.008335333,0.0003957037,0.004099116],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003472461,"threshold_uncertainty_score":0.00884974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008123173059088,"score_gpt":0.3296165023458346,"score_spread":0.3195352706152437,"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."}}