{"id":"W2087930802","doi":"10.1016/j.cbd.2009.09.002","title":"Combining suppressive subtractive hybridization and cDNA microarrays to identify dietary phosphorus-responsive genes of the rainbow trout (Oncorhynchus mykiss) kidney","year":2009,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part D Genomics and Proteomics","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Suppression subtractive hybridization; Biology; Complementary DNA; DNA microarray; Gene; Molecular biology; Gene expression profiling; Gene expression; Rainbow trout; Microarray; Biochemistry; cDNA library; Fishery","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":[0.0001018129,0.000206292,0.0003225478,0.000008388955,0.0003462509,0.00004012958,0.0001381483,0.0001306153,0.000009719528],"category_scores_gemma":[0.00004338285,0.00009869436,0.00005859686,0.000111089,0.0002824311,0.00005933666,0.00009393891,0.000156715,8.810645e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001184637,"about_ca_system_score_gemma":0.00002085017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204502,"about_ca_topic_score_gemma":0.000003735814,"domain_scores_codex":[0.9990366,0.0001070062,0.0002296706,0.0003826441,0.0000590778,0.0001850212],"domain_scores_gemma":[0.999349,0.0001159833,0.0001953231,0.00007504269,0.000108338,0.0001563428],"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":[0.0004275889,0.00005445475,0.001195412,0.00001352639,0.00002969892,4.901443e-7,0.000694072,0.000004969406,0.9960312,0.0000751617,0.0004600897,0.001013395],"study_design_scores_gemma":[0.000310795,0.0002412667,0.1404363,0.00003631854,0.00002336099,0.00001260041,0.0006543836,0.00005987667,0.8549553,0.001118933,0.001962398,0.0001885047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967008,0.001012376,0.000007611085,0.00140385,0.00003191205,0.0004381425,0.0002985512,0.000009540408,0.00009720992],"genre_scores_gemma":[0.9982852,0.0004214584,0.0002418877,0.0006910925,0.000134111,0.00001979534,0.0001514478,0.000001239502,0.00005378341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410759,"threshold_uncertainty_score":0.4024639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361455241276213,"score_gpt":0.2637559154043944,"score_spread":0.2401413629916323,"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."}}