{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007132279,0.000875907,0.001446216,0.002727818,0.0003433776,0.001156448,0.001075482,0.0009398104,0.001875251],"category_scores_gemma":[0.0004687311,0.0003621741,0.0004121615,0.002771901,0.001044422,0.001150638,0.0008101862,0.002106644,0.003121186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000947997,"about_ca_system_score_gemma":0.0004277819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004444734,"about_ca_topic_score_gemma":0.0004613441,"domain_scores_codex":[0.9995,0.00008054309,0.00003714313,0.0001078675,0.0002367587,0.00003759207],"domain_scores_gemma":[0.9997818,0.000109762,0.00002442574,0.00001583729,0.00004775774,0.00002042282],"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":[0.0000550792,0.00008342504,0.0003540241,0.006373197,0.00005574579,0.0005041241,0.0001368065,0.000662025,0.06932074,0.02194395,0.02108924,0.8794216],"study_design_scores_gemma":[0.000006675698,0.00007088751,0.0007359005,0.0004354197,0.00002637215,0.001846414,0.00004240641,0.0001968277,0.01939162,0.00300773,0.9742091,0.00003050585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001347213,0.9757707,0.01131102,0.0007000588,0.000844422,0.00003171832,0.0001063568,0.0001304746,0.009757966],"genre_scores_gemma":[0.007337509,0.9803548,0.005955734,0.0004912795,0.0003523077,0.00005973826,0.0001772877,0.00001787498,0.005253389],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002727818,"threshold_uncertainty_score":0.006878257,"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."}}