{"id":"W2417934652","doi":"10.1007/978-1-59745-335-6_3","title":"The Application of Differential Display as a Gene Profiling Tool","year":2007,"lang":"en","type":"review","venue":"Humana Press eBooks","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Profiling (computer programming); Differential display; Computer science; Computational biology; Differential (mechanical device); Biology; Gene expression; Engineering; Gene; Operating system; Genetics","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":[0.0001689989,0.0002420953,0.0003688516,0.00004176792,0.000144424,0.00003585419,0.0004526541,0.0002924321,0.000002608437],"category_scores_gemma":[0.0000200078,0.0001621673,0.0002663398,0.00001938418,0.0001008205,0.000001051445,0.0001591463,0.0001481544,0.000003882727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000168385,"about_ca_system_score_gemma":0.0001077222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001390481,"about_ca_topic_score_gemma":0.000006889243,"domain_scores_codex":[0.9986207,0.00009287614,0.0004881622,0.0004056325,0.0001947284,0.0001978957],"domain_scores_gemma":[0.9986051,0.00002146551,0.0004540415,0.0007995342,0.0000759566,0.00004388084],"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":[0.00002208448,0.0000174984,1.533041e-7,0.001028537,0.00008420792,2.686396e-7,0.00001228635,3.943271e-7,0.008057076,0.004098306,0.0002149821,0.9864642],"study_design_scores_gemma":[0.0001102542,0.00003640745,0.000001591845,0.0002687224,0.0001579091,0.00000420975,0.000004210004,0.000007742378,0.02804936,0.00002881084,0.9711564,0.0001743438],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001014339,0.9897263,0.004448785,0.000001048234,0.0001741594,0.0009057165,0.00002113834,0.00001189965,0.004609513],"genre_scores_gemma":[0.0009222414,0.9937704,0.00008336367,0.00001139335,0.0004313777,0.0005651983,0.0003402598,0.00004335575,0.003832388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9862899,"threshold_uncertainty_score":0.6612989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07129239585280321,"score_gpt":0.3676765264603544,"score_spread":0.2963841306075511,"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."}}