{"id":"W2144198721","doi":"10.1007/s10126-010-9335-6","title":"Development and Experimental Validation of a 20K Atlantic Cod (Gadus morhua) Oligonucleotide Microarray Based on a Collection of over 150,000 ESTs","year":2010,"lang":"en","type":"article","venue":"Marine Biotechnology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Institute for Marine Biosciences; Genome Canada; Atlantic Cancer Research Institute; Memorial University of Newfoundland","funders":"Division of Ocean Sciences; Genome Atlantic; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Atlantic Canada Opportunities Agency; Genome Canada","keywords":"Biology; Gadus; Atlantic cod; Broodstock; Microarray; Suppression subtractive hybridization; Expressed sequence tag; cDNA library; Functional genomics; DNA microarray; Genomics; Halibut; Aeromonas salmonicida; Genetics; Complementary DNA; Computational biology; Aquaculture; Gene; Fishery; Gene expression; Genome; Fish <Actinopterygii>; Bacteria","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":[0.0001227573,0.0002056579,0.0003075404,0.0003466521,0.0001026396,0.000006342706,0.0001764498,0.000457852,0.0005007212],"category_scores_gemma":[0.00003925533,0.0001889496,0.00005771968,0.0002259753,0.0003633363,0.00003287593,0.0002011646,0.0002636226,0.00003720387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003257612,"about_ca_system_score_gemma":0.00004082435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001644502,"about_ca_topic_score_gemma":0.0001037333,"domain_scores_codex":[0.9990156,0.00004126966,0.0003389374,0.0003326769,0.00003811329,0.0002333445],"domain_scores_gemma":[0.9994032,0.00002956135,0.0002129693,0.0002940825,0.00004171131,0.00001843613],"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":[0.000433555,0.0004002201,0.009609982,0.00004510591,0.0001102053,0.000003392346,0.0001253563,0.000002480601,0.9860265,0.001019072,0.001055118,0.001168992],"study_design_scores_gemma":[0.001893148,0.0002386615,0.01903748,0.00002358003,0.00004823712,0.0000163721,0.0000952647,0.00001669119,0.9571338,0.00001785019,0.02130301,0.0001758936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998428,0.00007236384,0.00008226773,0.0001966624,0.0002994145,0.0003658496,0.00001454858,0.00008526978,0.0004556578],"genre_scores_gemma":[0.9977312,0.00001002674,0.001384006,0.00005671088,0.000008754976,0.00002260371,0.0002721737,0.00001651545,0.0004980012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02889271,"threshold_uncertainty_score":0.7705142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005371136279566288,"score_gpt":0.2134269226240533,"score_spread":0.208055786344487,"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."}}