{"id":"W4317585459","doi":"10.1101/2023.01.19.524562","title":"Development and characterization of new patient-derived xenograft (PDX) models of osteosarcoma with distinct metastatic capacities","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of California, San Francisco; National Institutes of Health; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco; National Cancer Institute; Rally Foundation","keywords":"Osteosarcoma; Cancer research; Cancer; Metastasis; Biology; Disease; Medicine; Computational biology; Pathology; Internal medicine","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":[0.001036314,0.0005153816,0.0004823561,0.0004080713,0.0002345915,0.0006515684,0.0002722898,0.0004973587,0.001797061],"category_scores_gemma":[0.0003925382,0.0002683224,0.0004302408,0.000360864,0.0003020715,0.0004427109,0.0003255386,0.001539985,0.0007598751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003346603,"about_ca_system_score_gemma":0.0003165392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005792563,"about_ca_topic_score_gemma":0.001252379,"domain_scores_codex":[0.9996436,0.00006519983,0.00004675989,0.00006738262,0.0001403637,0.00003669617],"domain_scores_gemma":[0.9996814,0.00007925789,0.00005503259,0.00007086543,0.00005320011,0.00006039262],"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":[0.0001863209,0.00019047,0.001299463,0.00006901228,0.00002664457,0.0001534939,0.00006242142,0.0005645116,0.9925884,0.0007269244,0.0005890815,0.003543184],"study_design_scores_gemma":[0.00009386629,0.001693579,0.01193191,0.0000285117,0.00007957004,0.002581156,0.0001592677,0.005164259,0.958141,0.0004823303,0.0196204,0.00002404638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702683,0.002072242,0.1089545,0.0006198674,0.0003028222,0.0008764771,0.009622047,0.000688731,0.006594865],"genre_scores_gemma":[0.8608443,0.00385257,0.1021069,0.0003802637,0.00004682051,0.0009040236,0.02151323,0.0003997142,0.009952301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001797061,"threshold_uncertainty_score":0.006011724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053704009500768,"score_gpt":0.2057257064177607,"score_spread":0.185188666322753,"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."}}