{"id":"W2073247963","doi":"10.1186/gb-2008-9-12-114","title":"Bioinformatics: alive and kicking","year":2008,"lang":"en","type":"article","venue":"Genome Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Biology; Data science; Computational biology; World Wide Web; Computer science; Bioinformatics; Evolutionary biology","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":[0.0002326423,0.0001612234,0.0001826904,0.00009406879,0.0001698407,0.00001434461,0.0002352451,0.0002506411,0.00004550286],"category_scores_gemma":[0.0001528433,0.0001330223,0.00005960266,0.00007810063,0.0006064058,0.000004267283,0.0003104801,0.0001109671,0.00009877541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114973,"about_ca_system_score_gemma":0.00009493516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001777996,"about_ca_topic_score_gemma":0.000008765587,"domain_scores_codex":[0.998857,0.00004120182,0.0003104603,0.0002333678,0.0001137308,0.0004442905],"domain_scores_gemma":[0.9993259,0.00002032937,0.00007689847,0.0002845002,0.00008904656,0.0002033508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002504759,0.0001863581,0.03431929,0.0002747018,0.000407017,0.00004224619,0.002662676,0.00001315628,0.8724077,0.0008662937,0.006628581,0.08194151],"study_design_scores_gemma":[0.002405301,0.002950631,0.05251639,0.00002047294,0.00003287504,0.0009387282,0.0009679218,0.0008250117,0.03924792,0.0008126883,0.8981851,0.001096945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986028,0.00206654,0.00506881,0.0002879636,0.000222288,0.0002535547,0.00005775319,0.00002501244,0.005990059],"genre_scores_gemma":[0.9869178,0.00430207,0.00652284,0.0008258068,0.0003629053,0.00001445011,0.0003183038,0.00001551147,0.000720336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8915566,"threshold_uncertainty_score":0.5424492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242003628672726,"score_gpt":0.2704795495332206,"score_spread":0.2480595132464933,"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."}}