{"id":"W2023807793","doi":"10.1038/nmeth905","title":"A unique and universal molecular barcode array","year":2006,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Barcode; Replicate; DNA microarray; Feature (linguistics); Computational biology; DNA barcoding; Biology; Computer science; Genetics; Pattern recognition (psychology); Gene; Artificial intelligence; Evolutionary biology; Mathematics; Gene expression","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":[0.0002700367,0.0001436702,0.0001395779,0.00005779796,0.00005485406,0.00001675655,0.00009572534,0.0004164557,0.000001097064],"category_scores_gemma":[0.00008150328,0.0001229659,0.0000781811,0.0001366452,0.00009818275,0.000002501635,0.00005060165,0.0002450076,2.421729e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001066252,"about_ca_system_score_gemma":0.00002184406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001502717,"about_ca_topic_score_gemma":0.00001305091,"domain_scores_codex":[0.9991114,0.0002070226,0.0001098118,0.0003303242,0.00007676635,0.0001646705],"domain_scores_gemma":[0.9995508,0.00001851105,0.00005135906,0.0002624106,0.00007225216,0.00004468955],"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":[0.00001951017,0.00001488925,0.0001167129,0.000004222057,0.00002184973,0.000006921532,0.000002364,0.000003237822,0.9900892,0.001305278,0.0004995058,0.007916255],"study_design_scores_gemma":[0.000124071,0.00005773427,0.0002784794,0.00000598495,0.00002791213,0.0000232077,0.00001223416,0.00002204058,0.928209,0.002462697,0.06861973,0.0001569364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2211247,0.003427682,0.7664961,0.0005168512,0.00007794018,0.0001412592,0.00001329256,0.00009333122,0.008108829],"genre_scores_gemma":[0.5341675,0.0000641383,0.4649207,0.0002946223,0.0000796491,0.000001451437,0.00003634396,0.00001164865,0.0004239441],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3130428,"threshold_uncertainty_score":0.5014405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004110590542590914,"score_gpt":0.3212436099363319,"score_spread":0.3171330193937411,"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."}}