{"id":"W2954063027","doi":"10.1002/path.5319","title":"Integrative genomic analysis of matched primary and metastatic pediatric osteosarcoma","year":2019,"lang":"en","type":"article","venue":"The Journal of Pathology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; University of British Columbia; Canada's Michael Smith Genome Sciences Centre; McGill University Health Centre; Simon Fraser University; BC Cancer Agency","funders":"National Cancer Institute; Genome Canada; Canadian Institutes of Health Research; Genome British Columbia; Michael Smith Health Research BC; St. Baldrick's Foundation","keywords":"Osteosarcoma; Primary tumor; Exome sequencing; Somatic hypermutation; Genome instability; Germline; Biology; Copy-number variation; Exome; Cancer; Metastasis; Gene; Cancer research; Genome; Medicine; Mutation; Genetics; DNA; DNA damage; Antibody","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001474413,0.0002272639,0.0004422048,0.001019868,0.0002701176,0.0002765552,0.0001522983,0.0001999149,0.002223809],"category_scores_gemma":[0.0005384656,0.0001554484,0.0003463918,0.0009261289,0.0001940014,0.00007784401,0.0004355938,0.0002210662,0.0003881158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697743,"about_ca_system_score_gemma":0.0002740998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664213,"about_ca_topic_score_gemma":0.003148699,"domain_scores_codex":[0.9997534,0.00001754755,0.00001354464,0.00009327821,0.00007698443,0.0000451823],"domain_scores_gemma":[0.9998454,0.00003773461,0.00003004377,0.00001931488,0.00003820305,0.00002925168],"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":[0.0009094072,0.00009984164,0.07671244,0.000286287,0.0001905777,0.004791487,0.0006876966,0.001061346,0.8771373,0.0004263883,0.0006238484,0.03707331],"study_design_scores_gemma":[0.00008255339,0.0008694336,0.8447661,0.00003566494,0.0004773014,0.02096481,0.0006824042,0.002531498,0.1084508,0.0004277762,0.02069365,0.00001801675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989473,0.0009421715,0.003631049,0.00003372855,0.00001184101,0.00004837335,0.004165324,0.00006655759,0.001627889],"genre_scores_gemma":[0.9751094,0.001014181,0.006254056,0.00007734654,0.00002105891,0.00006407003,0.01639507,0.00007597389,0.0009888299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002223809,"threshold_uncertainty_score":0.007439435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147472996854169,"score_gpt":0.2757684113142397,"score_spread":0.2610211116288229,"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."}}