{"id":"W2074131187","doi":"10.1186/1471-2105-15-78","title":"ShatterProof: operational detection and quantification of chromothripsis","year":2014,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Domtar (Canada); University Health Network; University of British Columbia; University of Toronto; Ontario Institute for Cancer Research","funders":"Prostate Cancer Canada; Government of Ontario; Ontario Institute for Cancer Research; Movember Foundation","keywords":"Chromothripsis; Computer science; Computational biology; Biology; Genetics; Genome instability","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":[0.000144885,0.00006383729,0.00006844041,0.00003109221,0.00006303975,0.00002218497,0.00005434186,0.00006280062,0.00001173126],"category_scores_gemma":[0.00004329708,0.00005913553,0.00002620965,0.00003532787,0.00004275994,0.00000991756,0.00003314116,0.00002175926,0.000006361462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004509754,"about_ca_system_score_gemma":0.00002553905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008765967,"about_ca_topic_score_gemma":0.00003049856,"domain_scores_codex":[0.9995517,0.0000180448,0.0002239163,0.00007176503,0.0000639315,0.00007068078],"domain_scores_gemma":[0.9996648,0.000008898163,0.00009284313,0.0001465374,0.00006219977,0.00002470861],"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":[0.0001693649,0.0002219462,0.05497607,0.001165625,0.0001560012,8.747156e-8,0.001984874,0.006710085,0.84541,0.02027336,0.0009019914,0.06803063],"study_design_scores_gemma":[0.00101089,0.0005856708,0.06340389,0.00003255742,0.00004496453,0.00004709123,0.0007265722,0.3327284,0.5831323,0.0004230232,0.017469,0.0003955586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5597387,0.00004941056,0.4388839,0.00003472971,0.00006815065,0.00009383568,0.00001743232,0.000006773789,0.001107051],"genre_scores_gemma":[0.9742954,0.00002256469,0.02534808,0.00006694413,0.00006188246,0.000008306827,0.00007929717,0.000004908336,0.000112625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4145567,"threshold_uncertainty_score":0.2411477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009942496063046542,"score_gpt":0.2124061246202045,"score_spread":0.202463628557158,"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."}}