{"id":"W2398141717","doi":"10.1385/1-59259-889-7:197","title":"Gene Expression Profiling to Characterize Anticancer Drug Sensitivity","year":2005,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University Health Network","keywords":"DNA microarray; Computational biology; Gene expression profiling; Microarray; Drug; Complementary DNA; Microarray analysis techniques; Gene expression; Biology; Gene; Genetics; Pharmacology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004327422,0.0005709303,0.0008147109,0.00136587,0.0004284114,0.0005945219,0.0004742836,0.0004194225,0.004054792],"category_scores_gemma":[0.0005125852,0.0002931433,0.0006295653,0.001373617,0.0002408322,0.0005240291,0.0002741066,0.001744342,0.002492952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000570144,"about_ca_system_score_gemma":0.0004152875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009311163,"about_ca_topic_score_gemma":0.002188826,"domain_scores_codex":[0.999459,0.00005870295,0.00003101043,0.0001012605,0.0002847223,0.00006535274],"domain_scores_gemma":[0.9996812,0.00009829742,0.00003500613,0.00003453429,0.0001262673,0.00002461214],"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":[0.00002927244,0.00002851072,0.0002281413,0.00007908617,0.000008665278,0.00001219293,0.00001456254,0.0000990491,0.9949474,0.000131533,0.0002789363,0.004142577],"study_design_scores_gemma":[0.00001183731,0.0002445938,0.0108839,0.00002321768,0.00005550183,0.0001550174,0.00004926324,0.001751172,0.9663431,0.0002783074,0.02018219,0.00002194117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5950657,0.02158069,0.3095378,0.001524095,0.0007672722,0.002596609,0.03732317,0.003400504,0.02820415],"genre_scores_gemma":[0.4821382,0.03602663,0.3751386,0.001668184,0.0003105737,0.005564095,0.05163786,0.0008466688,0.04666913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004054792,"threshold_uncertainty_score":0.01356459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909519019057935,"score_gpt":0.2827941311457078,"score_spread":0.2436989409551284,"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."}}