{"id":"W2013868755","doi":"10.1093/bib/bbl035","title":"Evolving research trends in bioinformatics","year":2006,"lang":"en","type":"review","venue":"Briefings in Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Biomedicine; Computer science; Data science; Informatics; Structural bioinformatics; The Internet; Field (mathematics); Bioinformatics; World Wide Web; Biology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007274314,0.001382162,0.001849854,0.006641295,0.001058031,0.004988034,0.002167339,0.004934467,0.005366428],"category_scores_gemma":[0.01063354,0.0008287758,0.0009194582,0.01006738,0.004375562,0.01200807,0.002245855,0.007209253,0.00360005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004425476,"about_ca_system_score_gemma":0.004842837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448744,"about_ca_topic_score_gemma":0.003022277,"domain_scores_codex":[0.9962835,0.001137458,0.0004699639,0.0006257953,0.001325748,0.0001575395],"domain_scores_gemma":[0.9861544,0.008977401,0.0006265572,0.0004727457,0.002956104,0.0008127646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007146529,0.00008728947,0.0004787904,0.01689428,0.0001300168,0.0003648931,0.0007015679,0.0009395006,0.001131782,0.04802645,0.08167176,0.8495023],"study_design_scores_gemma":[0.00001788864,0.00004657055,0.0006297881,0.004332613,0.0000317606,0.00106902,0.0002819403,0.0001774684,0.0001448758,0.01424003,0.979003,0.00002504676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001130192,0.9909127,0.0005859923,0.005579142,0.001180862,0.000005638163,0.00001026078,0.00001644191,0.001595893],"genre_scores_gemma":[0.0009368995,0.9917338,0.001025345,0.003462717,0.001959281,0.0000108207,0.00002014012,0.000008020644,0.0008430258],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9933587,"threshold_uncertainty_score":0.03847069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0752793220218049,"score_gpt":0.3886114961430991,"score_spread":0.3133321741212942,"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."}}