{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003653702,0.0006097362,0.003940299,0.0005246326,0.00005000889,0.000006698751,0.0002570234,0.0002884196,0.002153791],"category_scores_gemma":[0.0001371861,0.0004252131,0.0004571278,0.000448386,0.0004269914,0.00007966779,0.00006728255,0.0007088624,0.00007323084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175603,"about_ca_system_score_gemma":0.001675164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005188065,"about_ca_topic_score_gemma":0.000005898418,"domain_scores_codex":[0.9970631,0.0002569653,0.001123083,0.0007058385,0.0002756017,0.000575422],"domain_scores_gemma":[0.9976528,0.0007607606,0.0007150629,0.0003919327,0.0002488588,0.0002305871],"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":[0.0001436109,0.0002338998,0.00001068123,0.05038419,0.0002641027,0.000001958,0.0001693859,4.41258e-7,4.621961e-7,0.0006276487,0.009596931,0.9385667],"study_design_scores_gemma":[0.00507909,0.0003756449,0.00001868065,0.04804279,0.0008695868,0.0005316512,0.00008389634,0.0000156961,4.677389e-8,0.0002698604,0.9443861,0.0003269497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.035756e-7,0.9814231,0.0007160876,0.002122727,0.01093954,0.004272798,0.0003751943,0.0000591997,0.00009091788],"genre_scores_gemma":[3.448707e-7,0.9860392,0.000947546,0.0001143689,0.003322425,0.008344784,0.0007372107,0.0001115515,0.0003826336],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9382398,"threshold_uncertainty_score":0.99982,"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."}}