{"id":"W1550776624","doi":"10.1002/9783527677252.ch07","title":"Identifying Actionable Targets in Cancer Patients","year":2013,"lang":"en","type":"other","venue":"Methods and principles in medicinal chemistry","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Profiling (computer programming); Computational biology; Bioinformatics; Biology; Medicine; Computer science","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":[0.0006117821,0.0002539314,0.0004001719,0.0006880131,0.0002441837,0.001013054,0.0003315036,0.000492267,0.008574015],"category_scores_gemma":[0.0008245965,0.00009778149,0.0002048465,0.00120127,0.0001851207,0.0005574522,0.0007162024,0.0007422598,0.002328314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000716808,"about_ca_system_score_gemma":0.0005593605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235101,"about_ca_topic_score_gemma":0.002335432,"domain_scores_codex":[0.9997717,0.00004463211,0.00001584468,0.00004624962,0.00008722433,0.00003438832],"domain_scores_gemma":[0.9998011,0.00006937661,0.00003784263,0.00001521153,0.00004692188,0.00002949774],"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":[0.0003524201,0.00009402812,0.04100914,0.0005278798,0.00002965317,0.0007436752,0.0003689571,0.0006995786,0.007511705,0.008659312,0.07274501,0.8672587],"study_design_scores_gemma":[0.00005918186,0.0003412036,0.08636867,0.0009990884,0.000112893,0.005072827,0.000851053,0.001936673,0.01993231,0.01787592,0.8664084,0.00004164445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.206295,0.2428172,0.04160425,0.05117483,0.002062517,0.0007839293,0.02311782,0.002280639,0.4298638],"genre_scores_gemma":[0.565361,0.2112964,0.0474261,0.0170274,0.002093083,0.0004373074,0.01758839,0.0005263326,0.138244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008574015,"threshold_uncertainty_score":0.02868289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613999618088848,"score_gpt":0.3605625256510543,"score_spread":0.3344225294701658,"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."}}