{"id":"W2090036100","doi":"10.1159/000151310","title":"Genomic signatures of chromosomal instability and osteosarcoma progression detected by high resolution array CGH and interphase FISH","year":2008,"lang":"en","type":"article","venue":"Cytogenetic and Genome Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Hospital for Sick Children; Ontario Institute for Cancer Research; University of Toronto","funders":"Agilent Technologies","keywords":"Comparative genomic hybridization; Genome instability; Biology; Copy number analysis; Copy-number variation; Chromosome instability; Fluorescence in situ hybridization; Genetics; Genome; Karyotype; Gene duplication; Chromosome; Chromothripsis; Computational biology; DNA; Gene; DNA damage","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":[0.0003666176,0.0001623285,0.0001970258,0.00009079319,0.0003334806,0.00002946368,0.0001329886,0.0001914432,0.0000239421],"category_scores_gemma":[0.00006605922,0.0001480093,0.00003179721,0.0001097242,0.0007684857,0.000007642467,0.0002849461,0.000168442,8.390726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002295466,"about_ca_system_score_gemma":0.0001066407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008512606,"about_ca_topic_score_gemma":0.00003134127,"domain_scores_codex":[0.9985017,0.000220927,0.0002739263,0.0004591511,0.0001982153,0.0003460524],"domain_scores_gemma":[0.9992967,0.00003910252,0.00006804328,0.0002703434,0.0001656263,0.0001601656],"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":[0.0002077241,0.00007372235,0.02232149,0.00008553312,0.00003421705,0.00000393362,0.0003316533,0.00000452172,0.9752094,0.00002251128,0.0000739302,0.001631367],"study_design_scores_gemma":[0.001630205,0.002102976,0.4012695,0.00003726887,0.00002239863,0.0001887934,0.0004374521,0.00005628731,0.5891577,0.0002242992,0.004540384,0.0003327512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884125,0.01070429,0.0001252104,0.0001046144,0.00002110111,0.0003657012,0.0001620241,0.000007384556,0.00009718387],"genre_scores_gemma":[0.99615,0.002670136,0.0007413192,0.00001901731,0.00007458891,0.00003715556,0.0001366928,0.00001808179,0.0001530599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3860517,"threshold_uncertainty_score":0.6035645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207413968900953,"score_gpt":0.2805729856327644,"score_spread":0.2598315887426692,"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."}}