{"id":"W1979548025","doi":"10.1142/s0219720011005355","title":"IMPROVED SEQUENCE-BASED PREDICTION OF STRAND RESIDUES","year":2010,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Computational biology; Classifier (UML); Pattern recognition (psychology); Computer science; Biological system; Biology; Bioinformatics","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":[0.0004044262,0.00009722952,0.0001715703,0.0001113398,0.00004778046,0.00001655327,0.0001287573,0.0001475935,0.00001019989],"category_scores_gemma":[0.0001691795,0.00007591445,0.00006997102,0.0000557774,0.0001758674,0.0000134774,0.00003340583,0.0002001828,4.967691e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003921706,"about_ca_system_score_gemma":0.0001696137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002497677,"about_ca_topic_score_gemma":0.000003903373,"domain_scores_codex":[0.9990718,0.00002568806,0.000639968,0.00005468703,0.0001051217,0.0001027106],"domain_scores_gemma":[0.9988208,0.00005806958,0.0006332533,0.00009311004,0.0003303599,0.00006433677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008259953,0.0002513473,0.08366129,0.0004676772,0.0004541567,0.000002389776,0.0007972858,0.02192129,0.8176142,0.007663492,0.00153791,0.06480295],"study_design_scores_gemma":[0.004887007,0.005797416,0.03258498,0.0000897566,0.0001024093,0.0005940683,0.0003215971,0.8992808,0.03638238,0.004827493,0.01470724,0.000424853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395926,0.00007017985,0.05931137,0.0001905748,0.0002513566,0.00008304209,0.0001046347,0.000004176909,0.0003920408],"genre_scores_gemma":[0.8978145,0.00003228569,0.101747,0.0001442866,0.0001038208,7.611911e-7,0.0001444342,0.000004775062,0.000008097139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8773595,"threshold_uncertainty_score":0.3095702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009067655613722058,"score_gpt":0.2593898688679379,"score_spread":0.2503222132542158,"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."}}