{"id":"W2165926265","doi":"10.1677/jme.1.02031","title":"Multiple microarray platforms utilized for hepatic gene expression profiling of GH transgenic coho salmon with and without ration restriction","year":2006,"lang":"en","type":"article","venue":"Journal of Molecular Endocrinology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University; Fisheries and Oceans Canada; Institute for Marine Biosciences; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Transgenesis; Biology; Microarray; Gene; Gene expression; DNA microarray; Microarray analysis techniques; Transgene; Gene expression profiling; Complementary DNA; Molecular biology; Transcriptome; Genetics; Reproductive technology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000301969,0.0003789385,0.0005229401,0.0005386023,0.0003961282,0.0003938111,0.0002347369,0.0003361478,0.001146786],"category_scores_gemma":[0.0002827678,0.000257908,0.0003719706,0.0006469018,0.000177311,0.0002620049,0.0002204417,0.0005072274,0.000468667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945123,"about_ca_system_score_gemma":0.0003577953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419108,"about_ca_topic_score_gemma":0.004110179,"domain_scores_codex":[0.999616,0.00003264616,0.00002482033,0.0001365427,0.0001354734,0.00005449879],"domain_scores_gemma":[0.9998164,0.00003781907,0.00003315992,0.00001614171,0.00007728309,0.00001938779],"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":[0.00006477375,0.000009016684,0.000387294,0.00003700802,0.000005683157,0.0000109861,0.00002094352,0.00003708599,0.9981986,0.00002100759,0.00004443233,0.00116325],"study_design_scores_gemma":[0.00002141693,0.0006722044,0.06104226,0.00002306386,0.0001463943,0.0002270933,0.0002538866,0.003561744,0.9280655,0.0001261596,0.005818848,0.0000413561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426782,0.001881322,0.04503443,0.0003038516,0.0001651494,0.0002890854,0.005180208,0.0005563851,0.003911222],"genre_scores_gemma":[0.7722427,0.004489385,0.1837011,0.001021312,0.0001157784,0.002692341,0.01757945,0.0002957573,0.01786207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001419108,"threshold_uncertainty_score":0.003836393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009669866956174921,"score_gpt":0.2397482199931003,"score_spread":0.2300783530369254,"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."}}