{"id":"W4200381606","doi":"10.3389/fonc.2021.767697","title":"Patient-Derived Explants as a Precision Medicine Patient-Proximal Testing Platform Informing Cancer Management","year":2021,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; Australian Government; Cancer Australia; PA Research Foundation","keywords":"Medicine; Precision medicine; Personalized medicine; Cancer; Longevity; Patient care; Bioinformatics; Medical physics; Computational biology; Internal medicine; Pathology; Biology; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001836256,0.0006756854,0.00119484,0.001930151,0.0002960641,0.001956332,0.0008223499,0.001589576,0.004256114],"category_scores_gemma":[0.002157483,0.0002653853,0.0008021623,0.001176529,0.0005810709,0.001450857,0.001075428,0.001867244,0.001993536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007805515,"about_ca_system_score_gemma":0.001414983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009414316,"about_ca_topic_score_gemma":0.001766016,"domain_scores_codex":[0.9993787,0.0002041756,0.00005644049,0.00007581251,0.00023697,0.00004783916],"domain_scores_gemma":[0.998701,0.0008222856,0.0001122373,0.00004267691,0.0002647739,0.00005694361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009760234,0.00006998312,0.0004967256,0.0173967,0.0001353661,0.0003335348,0.000165138,0.0005768649,0.005305262,0.01335206,0.02558029,0.9364904],"study_design_scores_gemma":[0.0000125531,0.0001015829,0.0006735781,0.005197092,0.0001341519,0.001110988,0.0001080165,0.0001679578,0.00230053,0.003692724,0.9864743,0.00002645465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004015439,0.9924226,0.001525829,0.001226007,0.0004323498,0.00002747256,0.0001128921,0.00003058945,0.003820726],"genre_scores_gemma":[0.00329017,0.9925609,0.00161195,0.0007157944,0.0002416669,0.00003621346,0.0001573677,0.000008773853,0.001377115],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004256114,"threshold_uncertainty_score":0.01423806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817641094660321,"score_gpt":0.3338607546956324,"score_spread":0.2956843437490292,"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."}}