{"id":"W2611493846","doi":"10.25011/cim.v31i4.4821","title":"CONTRIBUTION OF DNA COPY-NUMBER VARIATION (CNV) TO CANCER SUSCEPTIBILITY AND LARGE-SCALE GENOME ALTERATIONS IN OSTEOSARCOMA (OS)","year":2008,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copy-number variation; Genome instability; SNP array; Malignancy; SNP; International HapMap Project; Biology; Genetics; Etiology; Cancer; Copy number analysis; Human genome; Gene; Oncology; Single-nucleotide polymorphism; Genome; Medicine; Internal medicine; DNA; DNA damage; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002675124,0.0001880417,0.0002042097,0.001069114,0.0002549996,0.0002242352,0.0001716769,0.0003064315,0.00179785],"category_scores_gemma":[0.001150769,0.0001219754,0.0001723685,0.0007313588,0.0003882731,0.0001330767,0.0002816804,0.0001938633,0.00008621636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950793,"about_ca_system_score_gemma":0.0001595627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223406,"about_ca_topic_score_gemma":0.001274648,"domain_scores_codex":[0.9997185,0.00005196838,0.00002814754,0.0001105185,0.00005671495,0.00003414331],"domain_scores_gemma":[0.9993238,0.0003408135,0.0001926934,0.00003537681,0.00003918315,0.00006807935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00116076,0.00006988192,0.8485621,0.0001291038,0.0002346488,0.001523183,0.0003184788,0.0005828202,0.1245656,0.00031224,0.0001186425,0.02242253],"study_design_scores_gemma":[0.00002134612,0.0002242207,0.986803,0.00001002819,0.0001049719,0.003953982,0.00009373883,0.0008120316,0.007192527,0.0003771374,0.0003974377,0.000009538891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988177,0.000390422,0.0005151551,0.00001344156,0.000002353276,0.000005325581,0.00009112577,0.000005809071,0.0001586422],"genre_scores_gemma":[0.9995975,0.00006385853,0.0002138306,0.000004915659,0.000003155388,0.000003017066,0.00006506687,0.000001590904,0.00004703229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00179785,"threshold_uncertainty_score":0.006014407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07947270497856142,"score_gpt":0.3501158197813187,"score_spread":0.2706431148027573,"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."}}