{"id":"W2140008189","doi":"10.1002/cphc.200300978","title":"Microarray‐Based in vitro Evaluation of DNA Oligomer Libraries Designed in silico","year":2004,"lang":"en","type":"article","venue":"ChemPhysChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"In silico; Oligomer; In vitro; Computational biology; DNA; Microarray; DNA microarray; Chemistry; Biology; Nanotechnology; Biochemistry; Materials science; Gene; Gene expression; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003227994,0.0001401991,0.0001943426,0.0001107573,0.00001608989,0.000008977876,0.0001169707,0.0001583386,0.000001866724],"category_scores_gemma":[0.0001080216,0.0001354123,0.00008308581,0.0002917664,0.0001039712,0.000007358834,0.00003431475,0.00006713156,8.680902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005269407,"about_ca_system_score_gemma":0.0001822722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002130263,"about_ca_topic_score_gemma":0.00002427851,"domain_scores_codex":[0.9990481,0.00005019087,0.0002584068,0.0002924073,0.0001723624,0.0001785301],"domain_scores_gemma":[0.9994816,0.000008777806,0.00009666222,0.0002829345,0.00009917487,0.00003081826],"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":[0.0001263718,0.0001367962,0.0003679986,0.00001514757,0.00001123621,0.000001114424,0.0000319352,0.0002315217,0.9968773,0.000009403024,0.00001952785,0.002171651],"study_design_scores_gemma":[0.001163052,0.00004266455,0.0005503565,0.00003379631,0.00001850467,9.997344e-7,0.00004288097,0.000147517,0.9973731,0.0003569878,0.0001159683,0.0001541587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984686,0.0003612048,0.0005228587,0.0001203492,0.00001361063,0.0001639522,0.000005396746,0.00001568084,0.0003283088],"genre_scores_gemma":[0.9882345,0.00001833995,0.0114135,0.0001230171,0.0000361586,0.00001997289,0.0001242153,0.00001459549,0.00001572898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089064,"threshold_uncertainty_score":0.5521952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759283735129704,"score_gpt":0.2766372289784764,"score_spread":0.2590443916271793,"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."}}