{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009040104,0.0009207517,0.0007975686,0.003400788,0.0006624635,0.0006123232,0.001145079,0.001055765,0.002236821],"category_scores_gemma":[0.001834718,0.0005265654,0.0006636546,0.001834285,0.0007307798,0.0005848829,0.0006947119,0.001825514,0.001558564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304544,"about_ca_system_score_gemma":0.000390685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008267435,"about_ca_topic_score_gemma":0.0008960207,"domain_scores_codex":[0.9991689,0.0002285365,0.00004082241,0.0002312041,0.0002594646,0.00007116398],"domain_scores_gemma":[0.9988656,0.0004966221,0.0001139851,0.0002030595,0.0002198811,0.0001008727],"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":[0.00009732702,0.00009512105,0.00265399,0.0003348436,0.00006988595,0.0002301858,0.00005997242,0.0005271318,0.9043062,0.0009134142,0.000477268,0.09023464],"study_design_scores_gemma":[0.00004758749,0.001158144,0.02578796,0.00004783283,0.0002364894,0.01029718,0.00009217874,0.01435357,0.9274805,0.002924222,0.01745383,0.0001204049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0917441,0.004036824,0.8971808,0.0003689414,0.0001955702,0.0002577642,0.001019158,0.002069216,0.003127649],"genre_scores_gemma":[0.2467469,0.003241488,0.7446369,0.0003767143,0.0001098509,0.0003993677,0.001774602,0.0001217801,0.002592349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003400788,"threshold_uncertainty_score":0.007482886,"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."}}