{"id":"W2012750155","doi":"10.1038/470163a","title":"Too many roads not taken","year":2011,"lang":"en","type":"article","venue":"Nature","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":431,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of North Carolina at Chapel Hill; University of Toronto; Seoul National University; GlaxoSmithKline","keywords":"Proteome; Druggability; Computational biology; Human proteome project; Human genome; Genome; Biology; Relevance (law); Data science; Bioinformatics; Genetics; Proteomics; Computer science; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003543853,0.00008247323,0.00005808087,0.00001510961,0.00003624791,0.000008781422,0.0001579772,0.0005988881,0.00008581799],"category_scores_gemma":[0.00002275679,0.00006978972,0.00007080437,0.00002784931,0.00002136806,0.000001104929,0.00006106659,0.0002511714,0.00003091824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003497232,"about_ca_system_score_gemma":0.00003006631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007121497,"about_ca_topic_score_gemma":0.000005922348,"domain_scores_codex":[0.99955,0.000009566032,0.00006349239,0.0001871246,0.00005861662,0.0001312431],"domain_scores_gemma":[0.9996384,0.000001239162,0.00002439455,0.0002323509,0.00004235711,0.00006121636],"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":[0.0004468879,0.0002970171,0.008751567,0.00003730086,0.0001979562,0.0001199281,0.0002711842,0.000004791696,0.7740651,0.005331737,0.1997238,0.0107527],"study_design_scores_gemma":[0.0004685941,0.0001627435,0.0798148,0.00000539599,0.00002999434,0.00003558581,0.00006554459,0.000008546449,0.3214918,0.0003671003,0.5972406,0.0003093182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765282,0.002209733,0.00003852624,0.0001512729,0.0003093313,0.00007357103,0.00004279299,0.00001155993,0.02063497],"genre_scores_gemma":[0.9938328,0.00008309916,0.0004403224,0.002410009,0.0002228719,0.000004847138,0.00008481305,0.00001293249,0.002908331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4525733,"threshold_uncertainty_score":0.4619174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091934996863274,"score_gpt":0.2262908176517665,"score_spread":0.2170973179654391,"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."}}