{"id":"W2313680460","doi":"10.1097/cco.0000000000000015","title":"Personalized medicine for metastatic breast cancer","year":2013,"lang":"en","type":"review","venue":"Current Opinion in Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"Servier; Bristol-Myers Squibb","keywords":"Medicine; Trastuzumab; PI3K/AKT/mTOR pathway; Metastatic breast cancer; Targeted therapy; Breast cancer; Clinical trial; Personalized medicine; Oncology; Cancer; Cancer research; Internal medicine; Bioinformatics; Signal transduction; Biology; Genetics","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":[0.0005609345,0.0009549414,0.001637616,0.0018344,0.0002427,0.0009051118,0.0007598972,0.001176229,0.00592149],"category_scores_gemma":[0.0008577773,0.0002138537,0.0005801561,0.001617978,0.0003863386,0.001001401,0.0007685683,0.00189022,0.003770843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006814922,"about_ca_system_score_gemma":0.0007928749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007041019,"about_ca_topic_score_gemma":0.001467174,"domain_scores_codex":[0.9997551,0.0000627641,0.00003031307,0.00003489565,0.00009866685,0.00001828153],"domain_scores_gemma":[0.9997093,0.0001401625,0.00005297762,0.00001111831,0.00006461172,0.00002179946],"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":[0.0000400632,0.00003727263,0.0001092504,0.01581559,0.00014807,0.0002140384,0.00004512966,0.0004504122,0.001078066,0.004168672,0.04884102,0.9290525],"study_design_scores_gemma":[0.00001787448,0.00003651749,0.0004549745,0.005005168,0.0001102753,0.001355373,0.00003584989,0.00009862807,0.0002952856,0.001852161,0.9907239,0.00001394319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007222423,0.9971976,0.0002558087,0.0006509937,0.0003405886,0.00000909166,0.00002635379,0.0000107131,0.00143669],"genre_scores_gemma":[0.0005441869,0.997778,0.0003083207,0.0004429097,0.0002863155,0.000009748349,0.00004352065,0.000002327049,0.000584655],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00592149,"threshold_uncertainty_score":0.01980931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2890610038731495,"score_gpt":0.5493149128190961,"score_spread":0.2602539089459466,"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."}}