{"id":"W2124935821","doi":"10.1093/bioinformatics/bth413","title":"EC_oligos: automated and whole-genome primer design for exons within one or between two genomes","year":2004,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University; Ste. Anne's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Executable; Oligonucleotide; Genome; Primer (cosmetics); Computational biology; Exon; Biology; File Transfer Protocol; Genetics; Computer science; Sequence (biology); DNA; Programming language; Gene; World Wide Web","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":[0.0002232867,0.0002120578,0.0002483396,0.00005228511,0.0001788122,0.00005061162,0.0001631491,0.0001167983,0.00000210334],"category_scores_gemma":[0.00005235427,0.0001759624,0.00005859057,0.00007257565,0.0001079445,0.000003203805,0.0001364628,0.00004812344,0.00001171781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002128475,"about_ca_system_score_gemma":0.0001554233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009657509,"about_ca_topic_score_gemma":0.00001522411,"domain_scores_codex":[0.9990028,0.00001420676,0.00039959,0.0001867564,0.00009306592,0.000303559],"domain_scores_gemma":[0.9993498,0.00002949641,0.000157359,0.0002662303,0.00008674791,0.0001103926],"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":[0.0006321263,0.0003135757,0.005618935,0.0009676592,0.002388948,0.000004677437,0.008249415,0.01192712,0.9559417,0.001252902,0.001655327,0.01104756],"study_design_scores_gemma":[0.03125271,0.01257252,0.0571839,0.0003635356,0.001763079,0.0002147374,0.004496942,0.01708178,0.6534088,0.008231848,0.2074181,0.006012126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276971,0.002431896,0.06718485,0.0002683694,0.0001521467,0.001351711,0.0005151582,0.00006145345,0.0003373508],"genre_scores_gemma":[0.6966493,0.0004753132,0.3017801,0.0002865984,0.0002393748,0.00006842109,0.0002391794,0.00003727728,0.0002244247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.302533,"threshold_uncertainty_score":0.7175537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117622830420369,"score_gpt":0.272097196145129,"score_spread":0.2309209678409253,"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."}}