{"id":"W2020879581","doi":"10.1109/cibcb.2010.5510703","title":"Classifying Cytochrome c Oxidase subunit 1 by translation initiation mechanism using side effect machines","year":2010,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Genome Canada","keywords":"Mechanism (biology); Cytochrome c oxidase; Translation (biology); Side effect (computer science); Protein subunit; Computer science; Machine translation; SIGNAL (programming language); Computational biology; Gene; Artificial intelligence; Oxidase test; Biology; Enzyme; Genetics; Mitochondrion; Biochemistry; Messenger RNA; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000343919,0.0001848531,0.0001306961,0.00006133036,0.0001428525,0.00005710576,0.0001339424,0.0002388547,0.0001018831],"category_scores_gemma":[0.000141021,0.0001644833,0.00007172672,0.00008506191,0.00003452987,0.00001581863,0.00004201573,0.0002598066,0.00001690586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009207075,"about_ca_system_score_gemma":0.00002934816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005108654,"about_ca_topic_score_gemma":0.00006390837,"domain_scores_codex":[0.9991146,0.00008038593,0.0002484509,0.0001963736,0.0001523531,0.0002077846],"domain_scores_gemma":[0.9994648,0.00003868239,0.0001182323,0.0002568369,0.00004889343,0.00007258327],"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":[0.00002437393,0.00001464185,0.001031783,0.00003728452,0.00001691626,6.507963e-7,0.00003939707,0.0000884208,0.9948608,0.0001571129,0.0001099851,0.003618693],"study_design_scores_gemma":[0.0009213213,0.0002794735,0.0007835359,0.00001346189,0.00004287562,0.00005792467,0.00001848151,0.1151403,0.8788269,0.0001748811,0.003372912,0.0003679745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258546,0.0000315942,0.07042185,0.00007231439,0.0001541767,0.0002275945,0.00001410839,0.00005060577,0.003173168],"genre_scores_gemma":[0.9811229,0.000007226022,0.01784145,0.0002330695,0.0001456765,0.000009806786,0.0004591144,0.00002941573,0.0001513175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160339,"threshold_uncertainty_score":0.6707433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104965006066701,"score_gpt":0.2750441271057714,"score_spread":0.2639944770451044,"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."}}