{"id":"W3043591634","doi":"10.1158/1538-7445.pedca19-ia19","title":"Abstract IA19: Genomic analysis of osteosarcoma: Insights into tumor evolution and therapy response","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Osteosarcoma; Cancer; Copy-number variation; Metastasis; Genome; Disease; Medicine; Computational biology; Precision medicine; Targeted therapy; Primary tumor; Genomics; Cancer research; Bioinformatics; Biology; Gene; Internal medicine; Genetics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005233949,0.0002880883,0.0004583889,0.001360456,0.0002809035,0.0005067876,0.0002825796,0.0002577598,0.003710867],"category_scores_gemma":[0.0005559482,0.0001489097,0.0003307069,0.001402173,0.0002686454,0.0001450991,0.0003030621,0.0004311849,0.0008324189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146676,"about_ca_system_score_gemma":0.0006290447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01201394,"about_ca_topic_score_gemma":0.01370376,"domain_scores_codex":[0.9997893,0.00003772638,0.00001219416,0.00004981525,0.0000802445,0.00003085754],"domain_scores_gemma":[0.9996943,0.00007030736,0.00007225462,0.00003326651,0.00008940799,0.00004055789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007467745,0.0001108254,0.03408393,0.0002459656,0.00008553182,0.0005802069,0.0001198839,0.003058034,0.8955115,0.0008509856,0.005483276,0.0591232],"study_design_scores_gemma":[0.0000765442,0.001182897,0.5522998,0.00006460444,0.0002612964,0.003238569,0.0002595217,0.008462726,0.3754766,0.001136871,0.05748402,0.00005655556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547519,0.01286945,0.04402131,0.001800254,0.0001887267,0.0004200911,0.06156383,0.00248607,0.02189842],"genre_scores_gemma":[0.9132299,0.006998541,0.03177204,0.0003809921,0.00008823151,0.0001678758,0.03632019,0.0004506092,0.01059179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01201394,"threshold_uncertainty_score":0.02388805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03803702627945892,"score_gpt":0.3482087870703495,"score_spread":0.3101717607908905,"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."}}