{"id":"W2957924702","doi":"10.1002/yea.1530","title":"13. Bioinformatics and genome-wide studies","year":2007,"lang":"en","type":"article","venue":"Yeast","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health","keywords":"Biology; Computational biology; Genome; Bioinformatics; Evolutionary 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003402757,0.0007586202,0.0008389942,0.002604056,0.0006152819,0.0017908,0.001132536,0.0009702931,0.04871114],"category_scores_gemma":[0.007790475,0.0005393964,0.001143554,0.004400457,0.0002916783,0.001007253,0.0008038066,0.0009158869,0.03825201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837591,"about_ca_system_score_gemma":0.001735228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005428686,"about_ca_topic_score_gemma":0.008078882,"domain_scores_codex":[0.9985176,0.000487579,0.0001226533,0.0004115172,0.0003512246,0.0001094481],"domain_scores_gemma":[0.9963779,0.001451772,0.0002656794,0.0006772151,0.0009951827,0.0002321907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002302024,0.0003748222,0.0327074,0.003381288,0.001059212,0.0008196659,0.0003795099,0.01061797,0.02576452,0.0272523,0.5259205,0.3694209],"study_design_scores_gemma":[0.0005954683,0.0002332806,0.05592651,0.0003691959,0.0003899209,0.0005571049,0.0002993946,0.06407006,0.01740417,0.02293099,0.8371068,0.0001170947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01852228,0.002156164,0.2271885,0.003507879,0.0005167534,0.0009497739,0.6115083,0.09137788,0.04427252],"genre_scores_gemma":[0.07963204,0.001822653,0.2446255,0.001594073,0.0002464937,0.001613203,0.6443608,0.005099253,0.02100585],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04871114,"threshold_uncertainty_score":0.162955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225579849784761,"score_gpt":0.2573700927958175,"score_spread":0.2451142942979699,"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."}}