{"id":"W75054781","doi":"10.1007/978-0-387-69321-7_4","title":"Molecular Subtypes of Cancer from Gene Expression Profiling","year":2007,"lang":"en","type":"book-chapter","venue":"Cancer treatment and research","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Gene expression profiling; Profiling (computer programming); Gene; Biology; Gene expression; Computational biology; Cancer research; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001529673,0.0002490574,0.0002638289,0.0001584697,0.0001018452,0.00001931912,0.0001527706,0.0004718007,0.000258332],"category_scores_gemma":[0.000008412894,0.0001929916,0.0001061988,0.00004387724,0.0002002593,0.000002751168,0.0001180772,0.0001898523,0.000005853046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093561,"about_ca_system_score_gemma":0.0003407164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002983918,"about_ca_topic_score_gemma":0.0001057645,"domain_scores_codex":[0.9985215,0.00004452008,0.0002362507,0.0006130656,0.0003230749,0.0002616084],"domain_scores_gemma":[0.9990174,0.00002168036,0.000130058,0.0004316975,0.0002681566,0.000130975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002861593,0.00003573858,0.001138533,0.00004196784,0.0001843958,0.000005866382,0.00005632537,0.00001318689,0.962669,0.0003051403,0.0006748192,0.03458883],"study_design_scores_gemma":[0.0005304778,0.0002026589,0.0001705663,0.0002019894,0.00005059338,4.333474e-7,0.00003079919,0.0000046977,0.8766841,0.0003220093,0.1216301,0.000171619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6002464,0.3207014,0.0002079718,0.0003078924,0.000496075,0.001317294,0.0006926343,0.00002315318,0.07600722],"genre_scores_gemma":[0.4756402,0.1726437,0.0007874814,0.00007865577,0.001458629,0.0005375977,0.001251462,0.0001670147,0.3474353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.271428,"threshold_uncertainty_score":0.786997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08597824244566714,"score_gpt":0.3951575529501545,"score_spread":0.3091793105044873,"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."}}