{"id":"W2177763304","doi":"10.1093/jnci/djv362","title":"Treatment Algorithms Based on Tumor Molecular Profiling: The Essence of Precision Medicine Trials","year":2015,"lang":"en","type":"review","venue":"JNCI Journal of the National Cancer Institute","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Agence Nationale de la Recherche","keywords":"Profiling (computer programming); Clinical trial; Precision medicine; Medicine; Molecular biomarkers; Standardization; Computational biology; Bioinformatics; Medical physics; Computer science; Oncology; Internal medicine; Pathology; Biology","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":[0.001688712,0.0002794293,0.001063282,0.0001116528,0.00008112112,0.00001722439,0.0006630131,0.0001417679,0.00001037457],"category_scores_gemma":[0.002607479,0.0001253517,0.000672748,0.0002100239,0.0001899871,0.000005086237,0.0000740309,0.0002155029,9.16715e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004591787,"about_ca_system_score_gemma":0.00490449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003151047,"about_ca_topic_score_gemma":0.00001251046,"domain_scores_codex":[0.9973688,0.0002834612,0.001105129,0.0002122923,0.0009018616,0.0001285198],"domain_scores_gemma":[0.9962022,0.0002827496,0.002105218,0.0002994878,0.001029624,0.00008068333],"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":[0.001051931,0.0005668758,0.00002147159,0.001817446,0.002114645,0.00004619345,0.00006022738,0.05054111,0.004047636,0.002879245,0.03119777,0.9056554],"study_design_scores_gemma":[0.001055443,0.0006199328,0.000003100111,0.002337324,0.0007609058,0.00006809158,0.000003930905,0.0001028867,0.003095633,0.0003436457,0.9914756,0.0001334507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001200828,0.993381,0.0007271601,0.0007862635,0.003179983,0.0008224338,0.0005157384,0.0000013883,0.0004659808],"genre_scores_gemma":[0.001508591,0.9941903,0.0003963189,0.0004415656,0.003172807,0.00008199231,0.0000723626,0.00002878955,0.0001073252],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9602779,"threshold_uncertainty_score":0.8700355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1634627992700368,"score_gpt":0.4404738867357681,"score_spread":0.2770110874657313,"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."}}