{"id":"W2158455641","doi":"10.1016/s0962-8924(03)00127-2","title":"Functional genomics and proteomics: charting a multidimensional map of the yeast cell","year":2003,"lang":"en","type":"review","venue":"Trends in Cell Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Canada Research Chairs; University of Toronto; Muscular Dystrophy Canada","funders":"","keywords":"Functional genomics; Biology; Genomics; Proteomics; Computational biology; Structural genomics; Budding yeast; Function (biology); Genome; Genetics; Saccharomyces cerevisiae; Yeast; Gene; Protein structure","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":[0.001997816,0.001629513,0.002944898,0.003643121,0.000481355,0.002764134,0.002770557,0.002196835,0.001685812],"category_scores_gemma":[0.001709718,0.0006405886,0.0006334586,0.004773557,0.002776104,0.003486609,0.001199636,0.002982788,0.002417641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194836,"about_ca_system_score_gemma":0.001610422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00376735,"about_ca_topic_score_gemma":0.003748101,"domain_scores_codex":[0.999527,0.00007397158,0.00004367192,0.00007349721,0.0002478131,0.0000339828],"domain_scores_gemma":[0.9986766,0.0006002411,0.00008582813,0.00006488596,0.0004343869,0.0001380125],"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":[0.0001266148,0.0000504031,0.000312553,0.005391298,0.00009331996,0.0002367627,0.0001025036,0.001395694,0.008262426,0.02259639,0.03353018,0.9279017],"study_design_scores_gemma":[0.00004440899,0.00008253358,0.0008255137,0.001271253,0.00009196396,0.001637247,0.0001562274,0.001302435,0.00535908,0.02669542,0.9624663,0.00006761237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003632181,0.9786155,0.01654918,0.001702671,0.001068457,0.00001820922,0.00007322908,0.0001495886,0.001459987],"genre_scores_gemma":[0.002373883,0.976589,0.01730942,0.001262397,0.0007890098,0.00003866336,0.0001865422,0.00002270244,0.001428467],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00376735,"threshold_uncertainty_score":0.01413637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436857981414946,"score_gpt":0.2628287030865006,"score_spread":0.2384601232723511,"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."}}