{"id":"W1976828377","doi":"10.1007/s12033-009-9212-6","title":"DNA Chip Analysis in Diverse Organisms with Unsequenced Genomes","year":2009,"lang":"en","type":"article","venue":"Molecular Biotechnology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"National Academy of Agricultural Sciences; Natural Sciences and Engineering Research Council of Canada; University Health Network","keywords":"DNA microarray; Biology; Genome; Computational biology; Model organism; Heterologous; Gene; Organism; Complementary DNA; Genetics; DNA sequencing; Transcriptome; DNA; Gene expression","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":[0.00007466517,0.0001633428,0.0001875054,0.0003938747,0.00004449779,0.00001441034,0.0002930802,0.0003629104,0.00002756484],"category_scores_gemma":[0.00001904226,0.0001445288,0.00007541477,0.001067748,0.0001099535,0.000002696652,0.00005434652,0.0001291613,0.000009289288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002827233,"about_ca_system_score_gemma":0.0000568412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082621,"about_ca_topic_score_gemma":0.00006360549,"domain_scores_codex":[0.9989138,0.00004503466,0.000165427,0.0005008434,0.0001137033,0.0002612363],"domain_scores_gemma":[0.9992321,0.00000159661,0.00007823539,0.0005986104,0.0000372028,0.00005230444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005079169,0.00005156507,0.001257813,0.000001539055,0.000077285,0.00003185153,0.00001905125,0.0002486056,0.9905332,0.001047657,0.00004860137,0.006632055],"study_design_scores_gemma":[0.0005106071,0.0003614657,0.008933416,0.000004178128,0.00006429758,0.00001248729,0.0001166116,0.00004590381,0.9852523,0.0003054162,0.004185078,0.0002083032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97362,0.0005340857,0.02288387,0.002234017,0.00002414458,0.00015215,0.000003985765,0.00004719624,0.000500567],"genre_scores_gemma":[0.9972528,0.0001854304,0.001605473,0.0007034418,0.00001437559,0.00001392503,0.00008270303,0.00001223522,0.0001295681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02363287,"threshold_uncertainty_score":0.5893714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005521517830653144,"score_gpt":0.2262003854036688,"score_spread":0.2206788675730157,"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."}}