{"id":"W2114693171","doi":"10.1104/pp.109.152553","title":"Robin: An Intuitive Wizard Application for R-Based Expression Microarray Quality Assessment and Analysis    ","year":2010,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Wizard; Expression (computer science); Computational biology; Computer science; Microarray analysis techniques; Quality assessment; Microarray; Quality (philosophy); Gene expression; Biology; World Wide Web; Genetics; Programming language; Engineering; Gene; Reliability engineering; Evaluation methods; Philosophy","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":[0.0001906082,0.0001177812,0.0001748649,0.00006411783,0.00009907754,0.00001241863,0.0001241229,0.0001709691,0.00001391007],"category_scores_gemma":[0.00001952903,0.000101936,0.00007145925,0.00008006996,0.00007045458,0.000004725367,0.00003393184,0.00008756685,8.647164e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007890741,"about_ca_system_score_gemma":0.00006316115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001615244,"about_ca_topic_score_gemma":0.00006970748,"domain_scores_codex":[0.9990428,0.00009917,0.0001750722,0.0004818455,0.00005676534,0.0001443426],"domain_scores_gemma":[0.9992782,0.00003099812,0.0001431825,0.000390155,0.00008129756,0.00007620543],"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":[0.0001821845,0.00008651589,0.002414108,0.00001293578,0.00004254162,3.06759e-8,0.00001929642,0.00007446553,0.9949256,0.000343108,0.0003008936,0.001598333],"study_design_scores_gemma":[0.0005005926,0.0001618356,0.1262659,0.000002450299,0.0000546978,6.467636e-7,0.00005690038,0.002066529,0.860288,0.0002678603,0.0101735,0.0001610198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236402,0.00002311003,0.07556568,0.0001184221,0.00009606915,0.0002645642,0.0002252227,0.00001327782,0.00005346878],"genre_scores_gemma":[0.9907709,0.00001744575,0.004041449,0.0002653856,0.0001393172,0.0002746701,0.004449912,0.000009545104,0.00003141043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346376,"threshold_uncertainty_score":0.415683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206817704868688,"score_gpt":0.3305169007762232,"score_spread":0.3084487237275363,"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."}}