{"id":"W2162348425","doi":"10.1093/bib/bbm047","title":"Informatics in neuroscience","year":2007,"lang":"en","type":"review","venue":"Briefings in Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre; University of British Columbia Hospital","funders":"National Institute of General Medical Sciences","keywords":"Neuroinformatics; Interoperability; Informatics; Computer science; Modalities; Data science; Field (mathematics); Key (lock); Neuroscience; Data sharing; World Wide Web; Psychology; Medicine; Engineering; Sociology","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"],"consensus_categories":[],"category_scores_codex":[0.0005559718,0.0003101402,0.0005578708,0.0005186062,0.00003732669,0.00006387832,0.0005263191,0.0004692075,0.0000044264],"category_scores_gemma":[0.0001793441,0.0002785907,0.0001453962,0.0007787204,0.0000888952,0.00001663538,0.000213369,0.0003411162,0.00002618536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007391766,"about_ca_system_score_gemma":0.0003436671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001064716,"about_ca_topic_score_gemma":0.00001978159,"domain_scores_codex":[0.9978096,0.00003303108,0.00132559,0.000194103,0.0002467242,0.0003909495],"domain_scores_gemma":[0.9988276,0.00001938391,0.0005324002,0.0005052656,0.00003496338,0.00008039096],"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":[0.00000432615,0.00003294112,0.00001932427,0.003667145,0.000002948681,0.000001934231,0.0001652794,0.00001595022,0.00001154425,0.0001203763,0.003074685,0.9928836],"study_design_scores_gemma":[0.0001974827,0.00003530559,0.00003279805,0.002046435,0.00001147221,0.00003140607,0.00005426011,0.0002680715,0.00002448449,0.00001094886,0.9969821,0.0003052677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002998738,0.9869948,0.003034475,0.00002277677,0.0003035969,0.0006140743,0.00001646246,0.00001768885,0.008966145],"genre_scores_gemma":[0.00001886898,0.9958565,0.002657246,0.0009402224,0.00005410233,0.00004779084,0.0001534366,0.00002532554,0.0002464699],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9939074,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06304356465159079,"score_gpt":0.3622788482150535,"score_spread":0.2992352835634627,"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."}}