{"id":"W2119471103","doi":"10.1186/gb-2007-8-10-r224","title":"A BAC clone fingerprinting approach to the detection of human genome rearrangements","year":2007,"lang":"en","type":"article","venue":"Genome biology","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Agency; National Human Genome Research Institute; Michael Smith Health Research BC; Genome British Columbia; Genome Canada; Canada's Michael Smith Genome Sciences Centre; National Cancer Institute; BC Cancer Foundation","keywords":"Genome; Computational biology; Human genome; Biology; In silico; Genetics; Bacterial artificial chromosome; Fingerprint (computing); Chromosome; DNA profiling; Gene; Computer science; DNA; Artificial intelligence","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":[0.0005412562,0.0001118866,0.0001295887,0.00006500277,0.0001621137,0.000008547046,0.0002394567,0.0001201479,0.00001746134],"category_scores_gemma":[0.00002406642,0.00008931945,0.00006740166,0.0001101455,0.00006037719,0.000001729549,0.0001762041,0.00006502018,0.0000152249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002046717,"about_ca_system_score_gemma":0.00001709961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009443279,"about_ca_topic_score_gemma":0.00006286776,"domain_scores_codex":[0.9990795,0.00005162392,0.0002773205,0.0002608251,0.00005024665,0.0002804363],"domain_scores_gemma":[0.9994484,0.000007703218,0.0001079534,0.0003192277,0.00006858409,0.00004810047],"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":[0.00002822145,0.00003668382,0.001343657,0.00001038318,0.00004972619,1.728492e-7,0.0003050707,0.0000460028,0.9967759,0.0003662209,0.000005347717,0.0010326],"study_design_scores_gemma":[0.0008474537,0.001322858,0.3602765,0.000006194404,0.00005868463,0.0000462439,0.001666114,0.00001167967,0.4581972,0.0002992096,0.1767242,0.0005436419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698102,0.0004041301,0.02476775,0.00004133736,0.0001109473,0.0002301772,0.00002329015,0.000008866861,0.004603336],"genre_scores_gemma":[0.9978449,0.00002004693,0.001000815,0.0001446541,0.000382017,0.0000229277,0.0001280395,0.00001297173,0.0004435881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5385787,"threshold_uncertainty_score":0.3642341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390749972462766,"score_gpt":0.2430153009018884,"score_spread":0.2291078011772608,"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."}}