{"id":"W2116689128","doi":"10.1002/prot.21527","title":"Prediction of protein secondary structure content for the twilight zone sequences","year":2007,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Protein secondary structure; Sequence (biology); Biological system; Representation (politics); Set (abstract data type); Principal component analysis; Chemistry; Crystallography; Computer science; Artificial intelligence; Biology; Biochemistry","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":[0.0002871432,0.0002351036,0.0001952342,0.00007196904,0.0002443953,0.00004159711,0.0001626034,0.0002948627,0.00002632873],"category_scores_gemma":[0.00009346743,0.0001463757,0.00009043726,0.0001296056,0.0002122329,0.00002627113,0.00007259805,0.0001959665,2.580723e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001653423,"about_ca_system_score_gemma":0.00008754158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001678038,"about_ca_topic_score_gemma":0.0001677619,"domain_scores_codex":[0.9987406,0.00001781345,0.0005499395,0.0002066349,0.0002187076,0.0002663181],"domain_scores_gemma":[0.9990041,0.00002241625,0.000349834,0.0003141543,0.0002311596,0.00007838127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008241107,0.00001575442,0.001102553,0.0004790663,0.0002014192,3.060761e-7,0.0002320831,0.00005106117,0.9083893,0.002291428,0.0001978602,0.08621503],"study_design_scores_gemma":[0.002863721,0.002308173,0.01914057,0.00008528547,0.0001876807,0.0001233884,0.001408773,0.003351947,0.9134722,0.005437575,0.05110451,0.0005161443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4626553,0.001279674,0.5314102,0.0001812068,0.0005299677,0.002744857,0.0009625382,0.00003369942,0.0002024788],"genre_scores_gemma":[0.971581,0.00004035717,0.02713415,0.0002732157,0.0003426576,0.00003974015,0.0003768099,0.00001734414,0.0001947418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5089257,"threshold_uncertainty_score":0.5969028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164745492643445,"score_gpt":0.2104162423966901,"score_spread":0.1987687874702556,"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."}}