{"id":"W1965942536","doi":"10.1038/nature01510","title":"From genomics to proteomics","year":2003,"lang":"en","type":"article","venue":"Nature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1001,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Proteomics; Genomics; Computational biology; Function (biology); Structural genomics; Biology; Bioinformatics; Genome; Protein structure; Gene; Genetics; Biochemistry","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":[0.002016708,0.000891277,0.00137407,0.001970484,0.001144287,0.00434517,0.001526823,0.00269952,0.01289055],"category_scores_gemma":[0.002318357,0.0006665616,0.0004794704,0.001510385,0.00602958,0.007516312,0.003903392,0.006469558,0.01126154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100884,"about_ca_system_score_gemma":0.00170208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004858778,"about_ca_topic_score_gemma":0.0005473747,"domain_scores_codex":[0.9989141,0.000269936,0.00004728941,0.0001774122,0.0005024213,0.00008889075],"domain_scores_gemma":[0.9988502,0.0003701973,0.00004734695,0.0002507474,0.0002355181,0.0002459169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008463374,0.00007305757,0.000255382,0.001073495,0.00003613612,0.0001576094,0.0003806394,0.000429104,0.01097392,0.4379275,0.2374096,0.311199],"study_design_scores_gemma":[0.000008113463,0.00002968685,0.0001783271,0.00023644,0.00000685649,0.0002564203,0.0001049102,0.0002451848,0.001595541,0.206813,0.7905095,0.00001616864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002324203,0.6302708,0.07648461,0.1114099,0.03589834,0.00008019097,0.0003067569,0.001514461,0.1417107],"genre_scores_gemma":[0.05446713,0.5122989,0.04596137,0.08791927,0.03850207,0.0002828871,0.0007034325,0.0006749033,0.2591901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01289055,"threshold_uncertainty_score":0.04312319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006567340992558319,"score_gpt":0.2707646294191663,"score_spread":0.264197288426608,"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."}}