{"id":"W2129513180","doi":"10.1186/1471-2164-6-144","title":"Generation, annotation, analysis and database integration of 16,500 white spruce EST clusters","year":2005,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; BC Cancer Agency; Natural Resources Canada; Université Laval","funders":"Genome Canada; Université Laval","keywords":"Biology; Annotation; White (mutation); Computational biology; Proteomics; Database; Bioinformatics; Genetics; Computer science","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":[0.0001238435,0.00008392358,0.0001061226,0.00007307851,0.00006759714,0.00002505421,0.00007298704,0.00005736832,0.0000231793],"category_scores_gemma":[0.00002840879,0.0000831753,0.00005046411,0.0000933828,0.00003481824,0.000005027389,0.00005078896,0.00002532821,0.000003342476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009187201,"about_ca_system_score_gemma":0.00003856668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000051562,"about_ca_topic_score_gemma":0.00125358,"domain_scores_codex":[0.9994527,0.00002587762,0.0001707429,0.0002015167,0.00006062839,0.0000885628],"domain_scores_gemma":[0.9996005,0.000005470842,0.00008925141,0.0001747881,0.00008352828,0.00004642882],"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":[0.00005275856,0.00005317591,0.03450331,0.00002151242,0.0001580297,2.61641e-7,0.0003760649,0.009058281,0.9477938,0.0001371482,0.003852648,0.003992986],"study_design_scores_gemma":[0.002031116,0.0004020238,0.07249177,0.00002246395,0.001082611,0.00002077594,0.002512205,0.064256,0.7992321,0.00006410856,0.05700262,0.0008822267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135734,0.0002460614,0.08539844,0.00007627052,0.00003422803,0.00006306929,0.0001198134,0.00000370263,0.0004849418],"genre_scores_gemma":[0.975714,0.0002160592,0.02222233,0.000151096,0.0001597873,0.000001663034,0.0009801998,0.000004574119,0.0005502679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1485617,"threshold_uncertainty_score":0.339179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381306395159499,"score_gpt":0.2426553288936749,"score_spread":0.2188422649420799,"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."}}