{"id":"W4252179552","doi":"10.1186/1465-6906-11-s1-i5","title":"Personalized oncogenomics","year":2010,"lang":"en","type":"article","venue":"Genome Biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"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":[0.0005687699,0.0003960238,0.0004161183,0.0005582623,0.0002646556,0.00153243,0.0004810129,0.0006684969,0.02356932],"category_scores_gemma":[0.0007478269,0.0002269711,0.0003959176,0.0005293919,0.0003288284,0.0009041892,0.001128176,0.001397632,0.006543535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013238,"about_ca_system_score_gemma":0.0005653032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002167087,"about_ca_topic_score_gemma":0.0004385507,"domain_scores_codex":[0.9996928,0.00007210617,0.000009992727,0.00007729977,0.0001147498,0.00003301305],"domain_scores_gemma":[0.9997109,0.00006975725,0.00002307623,0.0001311227,0.0000314318,0.00003364129],"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":[0.0004247227,0.0002570135,0.006562104,0.0003959399,0.0001792687,0.0004837191,0.0001079064,0.003076425,0.05788275,0.04667831,0.0793001,0.8046517],"study_design_scores_gemma":[0.0001129278,0.0002288943,0.008876857,0.0001247619,0.0002233638,0.004210219,0.00008527558,0.005492385,0.05537717,0.07852709,0.846697,0.00004414409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08342201,0.04113039,0.5164687,0.03948047,0.00300359,0.0006418867,0.0102056,0.01064847,0.2949988],"genre_scores_gemma":[0.6070097,0.03801583,0.1393876,0.02188199,0.004501821,0.0004839089,0.009511024,0.001449636,0.1777586],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02356932,"threshold_uncertainty_score":0.07884723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007895697282593442,"score_gpt":0.2481023919261001,"score_spread":0.2402066946435067,"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."}}