{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000907095,0.0007179644,0.0005420237,0.001070197,0.000209142,0.000498548,0.0005568476,0.0004702689,0.001794794],"category_scores_gemma":[0.002293914,0.0003557108,0.0004657149,0.0005265915,0.0001811692,0.00102547,0.0005415497,0.0006793442,0.001712736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359229,"about_ca_system_score_gemma":0.0004857794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009579321,"about_ca_topic_score_gemma":0.001827119,"domain_scores_codex":[0.999586,0.0001012465,0.00002564212,0.00009910109,0.0001557186,0.00003226046],"domain_scores_gemma":[0.9986578,0.0003770735,0.0002446752,0.0001921084,0.0004412508,0.00008717294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001794592,0.000338067,0.08238005,0.0005773967,0.0002148241,0.0004954726,0.0001563511,0.1193174,0.3267696,0.002934624,0.01372286,0.4512987],"study_design_scores_gemma":[0.0001105575,0.0004183548,0.01958291,0.00004205054,0.00008724266,0.0008239872,0.00004048673,0.8434837,0.1231946,0.002948603,0.009199231,0.00006810982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438922,0.002381299,0.3369226,0.0002935624,0.0001242957,0.00008653845,0.002910862,0.008926727,0.004461952],"genre_scores_gemma":[0.7898315,0.0006282104,0.1998792,0.0001253185,0.00006915645,0.00004577034,0.006470048,0.000262556,0.002688244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794794,"threshold_uncertainty_score":0.006004155,"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."}}