{"id":"W2039992581","doi":"10.1186/gb-2009-10-3-305","title":"Building bridges from 'omics' to cell biology","year":2009,"lang":"en","type":"article","venue":"Genome Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Omics; Biology; Systems biology; Computational biology; Molecular cell biology; Cell and molecular biology; Bioinformatics; Cell biology; Genetics; Gene","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":[0.0002878499,0.0002443279,0.0002917678,0.0001378938,0.00009975635,0.0000291798,0.0006414148,0.0004509236,0.00007326043],"category_scores_gemma":[0.0001864982,0.0002146772,0.0001164297,0.0001261345,0.0001835305,0.000002677473,0.0003016119,0.0001599939,0.0002491433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003205687,"about_ca_system_score_gemma":0.0001043023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008647924,"about_ca_topic_score_gemma":0.00001725179,"domain_scores_codex":[0.9981337,0.00008902593,0.0003929461,0.0005576435,0.00009596996,0.0007306709],"domain_scores_gemma":[0.9988972,0.00003357098,0.00008442823,0.0005227618,0.0001063008,0.0003557547],"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":[0.00007036927,0.00005198522,0.0008647541,0.000005238832,0.00002400576,0.000001516484,0.00005071922,0.00001355669,0.9672337,0.0002233139,0.0007843673,0.03067652],"study_design_scores_gemma":[0.0007822564,0.002387877,0.0140867,0.000005231677,0.00001524617,0.00000558941,0.0000741292,0.00008528226,0.4095336,0.00285294,0.5696734,0.0004978144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702592,0.001476118,0.02338295,0.001366413,0.0004346487,0.0003056881,0.000292787,0.0000309161,0.002451317],"genre_scores_gemma":[0.9790878,0.0006839611,0.01474634,0.003284584,0.0009653316,0.00001221457,0.000829036,0.00001725533,0.0003734318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.568889,"threshold_uncertainty_score":0.8754284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517729813126059,"score_gpt":0.2866248015163251,"score_spread":0.2714475033850645,"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."}}