{"id":"W4233933817","doi":"10.1002/0471732877.emd286","title":"Microarrays","year":2006,"lang":"en","type":"other","venue":"Encyclopedia of Medical Devices and Instrumentation","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"DNA microarray; Computational biology; Gene; Biology; Gene expression; Epigenetics; DNA; Protein microarray; Genome; Microarray; 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":[0.001508731,0.001958965,0.00219755,0.003091165,0.001322833,0.003777685,0.002939854,0.002147565,0.1097261],"category_scores_gemma":[0.001860115,0.001272654,0.00135613,0.003301586,0.0005283718,0.001473211,0.001652076,0.002421166,0.1484655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023103,"about_ca_system_score_gemma":0.0007124592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007568604,"about_ca_topic_score_gemma":0.001424337,"domain_scores_codex":[0.9958664,0.000714044,0.0002487118,0.0009974417,0.001872728,0.0003006436],"domain_scores_gemma":[0.9991678,0.0001388327,0.0000725985,0.0002158601,0.0003177135,0.00008717355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003998291,0.0002481836,0.000613622,0.001754514,0.0001454045,0.0003076479,0.0001454082,0.001093765,0.3980285,0.01503747,0.3157086,0.266517],"study_design_scores_gemma":[0.00004599836,0.0001016084,0.0007112795,0.0001048794,0.00004140992,0.0004282189,0.00003444724,0.001571851,0.09363895,0.002572347,0.9007075,0.00004143141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01184407,0.02858492,0.4410616,0.003674859,0.005667378,0.003410332,0.1009301,0.04421161,0.3606151],"genre_scores_gemma":[0.03212352,0.0157094,0.3825548,0.004278149,0.001007403,0.004890522,0.1441573,0.002860716,0.4124181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1097261,"threshold_uncertainty_score":0.3670703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005616719053805015,"score_gpt":0.259733309376029,"score_spread":0.254116590322224,"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."}}