{"id":"W1997552972","doi":"10.1111/joim.12097","title":"Genome variation and personalized cancer medicine","year":2013,"lang":"en","type":"review","venue":"Journal of Internal Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Ontario Ministry of Research and Innovation","keywords":"Medicine; Disease; Personalized medicine; Prostate cancer; Precision medicine; Psychological intervention; Pancreatic cancer; Cancer; Breast cancer; Copy-number variation; Bioinformatics; Colorectal cancer; Oncology; Internal medicine; Genome; Pathology; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004165665,0.0002845876,0.001223323,0.0001834365,0.00002721616,0.00001344781,0.0002750124,0.0002051685,0.0004554042],"category_scores_gemma":[0.0005082339,0.000172263,0.0001813094,0.00007149574,0.0002005785,0.00000418098,0.00008230239,0.0003130643,0.000003526478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008641113,"about_ca_system_score_gemma":0.0002344175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002230274,"about_ca_topic_score_gemma":0.0000110792,"domain_scores_codex":[0.9984054,0.00007074314,0.0009098815,0.0002048243,0.0002515908,0.0001575509],"domain_scores_gemma":[0.9979935,0.00009695875,0.001223163,0.0001647195,0.0003227316,0.0001989616],"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":[0.0001582808,0.00005115983,0.00005941392,0.004582573,0.001830904,0.00008752184,0.0005747518,0.000002885877,0.007708178,0.000133681,0.0309425,0.9538682],"study_design_scores_gemma":[0.0009708553,0.00101361,0.00009580441,0.009046135,0.000951471,0.0007178905,0.00003574116,0.000002088609,0.000007148244,0.00005397708,0.98695,0.0001552978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003652242,0.9965362,0.0007426621,0.0005191736,0.001270308,0.0001900712,0.00001873165,0.000001431269,0.0003561899],"genre_scores_gemma":[0.0001203472,0.9912112,0.0001367478,0.0004560881,0.007114641,0.00001330907,0.00002559004,0.00003638818,0.0008857254],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9560075,"threshold_uncertainty_score":0.702468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736581478169307,"score_gpt":0.3421851285141151,"score_spread":0.3148193137324221,"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."}}