{"id":"W2136490136","doi":"10.1101/gr.1687304","title":"Development and Application of a Salmonid EST Database and cDNA Microarray: Data Mining and Interspecific Hybridization Characteristics","year":2004,"lang":"en","type":"article","venue":"Genome Research","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":325,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"BC Cancer Agency; Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre; Genome Canada","keywords":"Biology; Expressed sequence tag; Complementary DNA; cDNA library; Salmo; Oncorhynchus; Rainbow trout; Genetics; Rapid amplification of cDNA ends; Microarray; Gene; Molecular biology; Gene expression; Fishery; Molecular cloning; Fish <Actinopterygii>","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":[0.001615061,0.0009042886,0.001239907,0.002053269,0.0008949779,0.00116425,0.00100803,0.000555337,0.002529528],"category_scores_gemma":[0.001916848,0.0006585606,0.0008705507,0.002395009,0.0002110281,0.0006491248,0.0007253208,0.0008456369,0.003100671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654925,"about_ca_system_score_gemma":0.00131297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893074,"about_ca_topic_score_gemma":0.003815921,"domain_scores_codex":[0.9984851,0.0001360414,0.0002177836,0.0005430359,0.0005089139,0.0001089912],"domain_scores_gemma":[0.9990656,0.0002649454,0.000108067,0.0001242788,0.0003512929,0.00008590678],"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":[0.000412211,0.0002208092,0.006907433,0.0006335066,0.0001371337,0.0003203161,0.000156668,0.001896277,0.8805748,0.000663569,0.004150509,0.1039268],"study_design_scores_gemma":[0.0001744113,0.0005946833,0.07290719,0.0001189983,0.0003968938,0.001826417,0.0004648714,0.06045172,0.7756929,0.0019781,0.08525805,0.0001357788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2689947,0.002683143,0.6176791,0.001259788,0.0002055624,0.001686257,0.07983411,0.01895503,0.008702334],"genre_scores_gemma":[0.1552942,0.001215825,0.7141702,0.00073532,0.00009601175,0.003951444,0.1161932,0.001197644,0.007146142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002529528,"threshold_uncertainty_score":0.008541346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05942269214870017,"score_gpt":0.3175539583810691,"score_spread":0.2581312662323689,"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."}}