{"id":"W2057376749","doi":"10.1159/000078004","title":"Use of whole genome amplification and comparative genomic hybridisation to detect chromosomal copy number alterations in cell line material and tumour tissue","year":2004,"lang":"en","type":"article","venue":"Cytogenetic and Genome Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Biology; Comparative genomic hybridization; Copy number analysis; Microdissection; genomic DNA; Copy-number variation; DNA; Genome; Gene duplication; Genetics; Molecular biology; Computational biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007417476,0.0005279658,0.0004654532,0.001680767,0.0003442022,0.0006414209,0.0004471528,0.0008238374,0.001446843],"category_scores_gemma":[0.001686171,0.0004111296,0.0004131006,0.0009853438,0.0007982966,0.0003538599,0.0004438897,0.0007915319,0.0008076325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649834,"about_ca_system_score_gemma":0.0002669554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150925,"about_ca_topic_score_gemma":0.002725529,"domain_scores_codex":[0.9991425,0.0002048528,0.00006899201,0.0003122625,0.000192868,0.00007858964],"domain_scores_gemma":[0.9984021,0.0009589577,0.0001237989,0.0003628274,0.0001074134,0.00004500261],"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":[0.00003849386,0.00001129419,0.0003300447,0.00003711382,0.00001244509,0.00004338101,0.00002746725,0.0001034565,0.9970021,0.000100103,0.00001735791,0.002276681],"study_design_scores_gemma":[0.0000161764,0.0003383074,0.01210184,0.000009501368,0.00008432839,0.0008561885,0.00005321935,0.001698441,0.9800756,0.0003768582,0.00436955,0.00002004573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5445228,0.003953486,0.4418114,0.00020761,0.0001186757,0.0005180932,0.002865344,0.001293087,0.004709519],"genre_scores_gemma":[0.6936432,0.002840732,0.2886305,0.0003152415,0.0000444645,0.0009923719,0.008987565,0.0003661251,0.004179947],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001680767,"threshold_uncertainty_score":0.004840195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06917345386963028,"score_gpt":0.3258143141585428,"score_spread":0.2566408602889125,"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."}}