{"id":"W2130234415","doi":"10.1109/iembs.2002.1053234","title":"Optimal estimation of gene expression","year":2002,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Estimator; Expression (computer science); Pixel; Computer science; Mathematics; Algorithm; Applied mathematics; Artificial intelligence; Statistics","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":[0.001934709,0.000585845,0.001280322,0.0008484489,0.0002640532,0.00130496,0.0008750879,0.0009547699,0.001136456],"category_scores_gemma":[0.005669717,0.0007134587,0.0007083248,0.0006986308,0.001249704,0.001554465,0.0008740845,0.001201432,0.0007673146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346895,"about_ca_system_score_gemma":0.001889228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285383,"about_ca_topic_score_gemma":0.001595382,"domain_scores_codex":[0.9985359,0.0004187339,0.00005869528,0.0004745164,0.0003826884,0.0001294727],"domain_scores_gemma":[0.9986964,0.0007395323,0.0001335751,0.0001941028,0.0001920429,0.00004442863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003662352,0.0001112048,0.001952533,0.0002663375,0.0001318307,0.00007520986,0.0001236733,0.5641211,0.07282685,0.1261387,0.002565401,0.2313209],"study_design_scores_gemma":[0.00001092451,0.00003392611,0.000605706,0.00001067965,0.00001480671,0.00003058303,0.000009638126,0.954123,0.01378805,0.03004735,0.001301199,0.00002422757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008430663,0.0002107785,0.99035,0.0001223395,0.00001835275,0.00001045425,0.00006716596,0.0001967424,0.0005934222],"genre_scores_gemma":[0.3348292,0.0007477489,0.6598916,0.0001647112,0.0001366838,0.0001292473,0.0005727264,0.0001671824,0.003360948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001934709,"threshold_uncertainty_score":0.01023185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722423405950861,"score_gpt":0.2547639524498742,"score_spread":0.2375397183903656,"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."}}