{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078491,0.0007471514,0.0007666474,0.000291397,0.0002098309,0.0004430712,0.0002960468,0.0006027736,0.001001076],"category_scores_gemma":[0.0009478254,0.000307543,0.0003604559,0.0003292443,0.0002680984,0.0002468515,0.0002692041,0.0006429128,0.0005700926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570416,"about_ca_system_score_gemma":0.0002080324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003572168,"about_ca_topic_score_gemma":0.0006021773,"domain_scores_codex":[0.9989161,0.0004714535,0.00007515818,0.0001580392,0.0002821817,0.00009699551],"domain_scores_gemma":[0.9992919,0.0003573908,0.00009979279,0.00008205444,0.0001000594,0.00006875883],"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":[0.00004512355,0.00005800839,0.00009370481,0.00003708001,0.000007794229,0.00001820288,0.00001456887,0.0008462614,0.9981202,0.00004674968,0.00001765461,0.0006945993],"study_design_scores_gemma":[0.000003779065,0.0002689,0.000125303,0.000001355331,0.000007012498,0.00001296955,0.000005224413,0.001592512,0.9976915,0.00001041842,0.0002774941,0.000003476945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422575,0.001092933,0.05349626,0.0001361999,0.00008172837,0.0002378968,0.0006997312,0.0003936746,0.001604115],"genre_scores_gemma":[0.8983318,0.001515719,0.09421588,0.0001793658,0.00003641355,0.0004843712,0.001581319,0.000127575,0.003527546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001078491,"threshold_uncertainty_score":0.005703628,"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."}}