{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259792,0.00007293624,0.00007431431,0.00002260664,0.00004570742,0.00001429622,0.00005337206,0.00004477415,0.000003787278],"category_scores_gemma":[0.0001057429,0.00006836259,0.0000226514,0.00003215539,0.00006373004,0.000001473539,0.000100506,0.00002951976,0.00001279536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000980841,"about_ca_system_score_gemma":0.00002030765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005488426,"about_ca_topic_score_gemma":0.00009558665,"domain_scores_codex":[0.9995843,0.000002806928,0.0001217702,0.00009974999,0.00004545337,0.0001458854],"domain_scores_gemma":[0.9997078,0.00001635088,0.00003499594,0.000135931,0.00004529054,0.00005964144],"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":[0.0006345272,0.0003470166,0.2308313,0.0006100189,0.001279332,0.00009443787,0.005471498,0.0004299846,0.5563818,0.003464985,0.05497459,0.1454805],"study_design_scores_gemma":[0.00132688,0.0004655377,0.1586146,0.0000270413,0.00006004269,0.00005557049,0.002750232,0.00007001519,0.05947001,0.0004388033,0.7761228,0.0005984302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988902,0.004752329,0.002248395,0.0000975694,0.0001563982,0.00007804242,0.00002274993,0.000006823611,0.003735707],"genre_scores_gemma":[0.9948401,0.002009373,0.001769882,0.0007466712,0.0002271939,0.000002574194,0.00003105581,0.00001020603,0.0003628966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7211483,"threshold_uncertainty_score":0.2787746,"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."}}