{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007486743,0.001663596,0.001500751,0.002673358,0.001823185,0.005306753,0.002936948,0.002753645,0.07890211],"category_scores_gemma":[0.04493999,0.001818346,0.001495491,0.002679023,0.001759046,0.008453889,0.006180781,0.007125425,0.08253062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007973516,"about_ca_system_score_gemma":0.002301195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002044296,"about_ca_topic_score_gemma":0.002733717,"domain_scores_codex":[0.9947577,0.002054239,0.0005820023,0.000669161,0.00162012,0.0003168353],"domain_scores_gemma":[0.9804873,0.008977741,0.00054528,0.004730297,0.002871204,0.002388127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003211408,0.00004624439,0.0004053078,0.0004824132,0.00006180404,0.0001316743,0.0003184583,0.0005125123,0.001815618,0.01353341,0.8158033,0.166568],"study_design_scores_gemma":[0.0001491554,0.00004523514,0.0006338746,0.0003037507,0.00005159624,0.0003202973,0.0001159142,0.005453905,0.002837432,0.08985489,0.9001378,0.00009610835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.001839248,0.005388133,0.5952577,0.03199308,0.006816512,0.000397075,0.02043386,0.3103361,0.02753828],"genre_scores_gemma":[0.04485678,0.006712545,0.7020981,0.02392325,0.004121796,0.001157329,0.04262328,0.1202815,0.05422547],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07890211,"threshold_uncertainty_score":0.2639539,"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."}}