{"id":"W2153606072","doi":"10.1093/bioinformatics/bth079","title":"Automated ordering of fingerprinted clones","year":2004,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"","keywords":"Contig; Computer science; Fingerprint (computing); Software; clone (Java method); Sequence assembly; In silico; Data mining; Genome; Artificial intelligence; Biology; Genetics; DNA; Programming language; Gene","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":[0.00006898187,0.00009437738,0.0001050768,0.00003450647,0.00003386188,0.00001204003,0.0001422289,0.00008593186,0.000004493683],"category_scores_gemma":[0.00003976168,0.00009017048,0.00005366057,0.00007101409,0.0000417455,0.000003249738,0.00009502113,0.00003484953,0.00001252692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001256047,"about_ca_system_score_gemma":0.00006997541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001174947,"about_ca_topic_score_gemma":0.00001151949,"domain_scores_codex":[0.9994277,0.000003827436,0.0002855182,0.00007033007,0.00007479914,0.0001377914],"domain_scores_gemma":[0.9995343,0.000002945519,0.0001268919,0.0002357994,0.00006234219,0.00003774004],"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":[0.00007048572,0.0002724338,0.003269301,0.0006946458,0.000261836,0.000002936013,0.001693778,0.05171515,0.9307454,0.00375469,0.001174903,0.006344486],"study_design_scores_gemma":[0.003593961,0.0008776743,0.01195421,0.0002010726,0.00006258884,0.000115215,0.001334049,0.2000715,0.7682403,0.0007668306,0.01177744,0.001005183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862254,0.0000507289,0.01174998,0.00003376687,0.00009484289,0.00008896938,0.00001638871,0.0000483364,0.001691611],"genre_scores_gemma":[0.9555216,0.00006905975,0.04419394,0.0000620113,0.00002429736,0.000002861502,0.00007728932,0.00001142226,0.00003752112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1625051,"threshold_uncertainty_score":0.3677046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005943460004091346,"score_gpt":0.2211915012476943,"score_spread":0.215248041243603,"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."}}