{"id":"W2125382892","doi":"10.2217/fon.11.63","title":"A New Frontier in Personalized Cancer Therapy: Mapping Molecular Changes","year":2011,"lang":"en","type":"review","venue":"Future Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Cancer; Targeted therapy; Medicine; Computational biology; Precision medicine; Cancer therapy; Personalized medicine; Gene; Cancer research; Bioinformatics; Biology; Genetics; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001415569,0.0004549818,0.001224898,0.0001636126,0.00003266404,0.00001684852,0.0004058864,0.001106465,0.0003459789],"category_scores_gemma":[0.00002317067,0.0004003226,0.0003464684,0.0001745167,0.00005670685,0.000001368557,0.0001654053,0.000347123,0.00001901602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927561,"about_ca_system_score_gemma":0.001655226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003411139,"about_ca_topic_score_gemma":0.001557497,"domain_scores_codex":[0.9983422,0.000159406,0.000344496,0.000646577,0.00007719138,0.0004301078],"domain_scores_gemma":[0.999077,0.00002200853,0.0002860398,0.0004265521,0.00004636844,0.0001420958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005130306,0.0000444851,0.000008574254,0.0004773552,0.0002338302,0.00004095988,0.0001534037,3.118402e-7,0.0001890171,0.0002498548,0.02815791,0.970393],"study_design_scores_gemma":[0.0008638631,0.0002752717,0.000007028374,0.0005664126,0.0001290811,0.00003173951,0.00004640132,2.318756e-7,0.00004884824,0.00004484037,0.9975507,0.0004356236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003885204,0.994325,0.0002203565,0.0003187944,0.001725006,0.0006735998,0.00009123862,0.000009917322,0.002597268],"genre_scores_gemma":[0.000002122929,0.9914128,0.001502365,0.001058542,0.003410813,0.0003710506,0.0003213698,0.00009198185,0.001828948],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9699574,"threshold_uncertainty_score":0.9998448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404865134294241,"score_gpt":0.3308658934565992,"score_spread":0.2903793800271751,"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."}}