{"id":"W2524769152","doi":"10.1373/clinchem.2015.247882","title":"The Use of Targeted Therapies for Precision Medicine in Oncology","year":2016,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Mount Sinai Hospital; University Health Network; University of Toronto","funders":"","keywords":"Precision medicine; Precision oncology; Medicine; Oncology; Internal medicine; Medical physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004309913,0.00007445706,0.0001714147,0.000005079576,0.00002568082,0.0000037102,0.0001680335,0.0001949325,0.000016293],"category_scores_gemma":[0.004501979,0.00003955988,0.00008465153,0.00002827519,0.0003200155,0.000001298802,0.00007140607,0.00005246796,7.17996e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001464821,"about_ca_system_score_gemma":0.0001004795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004493282,"about_ca_topic_score_gemma":0.00002262746,"domain_scores_codex":[0.9991408,0.00003058201,0.0004396251,0.0002039749,0.00005129976,0.000133713],"domain_scores_gemma":[0.9975898,0.001816595,0.0001400836,0.0003082716,0.00009647699,0.00004876676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009255885,0.0001221206,0.01631168,0.00001825383,0.00005077277,9.866388e-7,0.00001498387,0.000005060978,0.8182644,0.00006336378,0.04215022,0.1220725],"study_design_scores_gemma":[0.001676735,0.0004093989,0.002737382,0.00003514796,0.00001036332,0.000001205576,0.00002093553,0.00001552355,0.2111338,0.0006006075,0.7832828,0.00007610529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930816,0.002078455,0.000782588,0.003393815,0.0002475895,0.00016382,0.00004700196,0.000003205957,0.0002019297],"genre_scores_gemma":[0.9903327,0.007229056,0.0005762167,0.0002968469,0.000529392,0.00003514053,0.00002842066,0.00001314099,0.0009590641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7411326,"threshold_uncertainty_score":0.5389615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354775618149881,"score_gpt":0.3824657435333428,"score_spread":0.3089179873518441,"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."}}