{"id":"W3157439875","doi":"","title":"Pacific symposium on biocomputing 2011","year":2011,"lang":"en","type":"article","venue":"Pacific Symposium on Biocomputing","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001261294,0.0006721976,0.000484303,0.0003826605,0.0005149066,0.0001555321,0.0009246378,0.0005655673,0.0001083671],"category_scores_gemma":[0.0001192917,0.0005906569,0.0003536405,0.0003086085,0.0004311115,0.0000112959,0.0005227236,0.0005357963,0.001101466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007718319,"about_ca_system_score_gemma":0.0001511196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004353727,"about_ca_topic_score_gemma":0.000002769312,"domain_scores_codex":[0.9953681,0.0002235834,0.0009555946,0.001203641,0.0008336332,0.001415414],"domain_scores_gemma":[0.9974762,0.0001109248,0.0003568876,0.00120674,0.0002496131,0.0005996684],"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":[0.001038609,0.001954444,0.0111214,0.0005198264,0.0005095746,0.00007917225,0.003941859,0.0002902241,0.89333,0.001083895,0.03562687,0.0505041],"study_design_scores_gemma":[0.002874465,0.006285897,0.003590716,0.000470243,0.00007726865,0.0001109423,0.003363247,0.007478389,0.8626218,0.0002339309,0.1105137,0.002379463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.533498,0.0004793489,0.006138667,0.002148191,0.004347851,0.002184824,0.0001220974,0.0004273697,0.4506536],"genre_scores_gemma":[0.9922848,0.0004087212,0.003355854,0.0004795012,0.001296168,0.00003007506,0.0001857704,0.00009795848,0.001861188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4587867,"threshold_uncertainty_score":0.9996763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335552476989084,"score_gpt":0.256085244653007,"score_spread":0.2327297198831161,"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."}}