{"id":"W4237402185","doi":"10.1007/978-1-59745-551-0","title":"Biological Microarrays","year":2010,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"BioPhage Pharma (Canada)","funders":"","keywords":"DNA microarray; Computational biology; Microarray; Biology; Genetics; Gene; Gene expression","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":[0.0009551343,0.001921526,0.001625391,0.001899225,0.0009244234,0.00287804,0.003050242,0.002449345,0.1012865],"category_scores_gemma":[0.001381651,0.001262262,0.001274525,0.001964618,0.0005458531,0.001691207,0.00143139,0.003199527,0.14632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008517157,"about_ca_system_score_gemma":0.000437116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003164116,"about_ca_topic_score_gemma":0.0006973881,"domain_scores_codex":[0.9982765,0.0001994399,0.00005708766,0.0003765596,0.0009900812,0.0001003153],"domain_scores_gemma":[0.9994621,0.0001602012,0.00003769439,0.0001099662,0.0001679297,0.00006219545],"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":[0.000237773,0.0001425341,0.000207349,0.001612707,0.00009295264,0.000276321,0.00009030673,0.0006901671,0.4072156,0.02643462,0.3567829,0.2062167],"study_design_scores_gemma":[0.00002475636,0.00006540772,0.000238013,0.000064894,0.00002430297,0.0005861513,0.00001602307,0.0006823021,0.06635288,0.004219252,0.9277006,0.00002547201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.005654357,0.0763807,0.3899495,0.005515448,0.01182627,0.001145223,0.02323949,0.0248892,0.4613998],"genre_scores_gemma":[0.01677618,0.03386225,0.2108049,0.008110866,0.001601411,0.001680961,0.03829514,0.002155756,0.6867126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1012865,"threshold_uncertainty_score":0.3388372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016125550922806,"score_gpt":0.3911568156639795,"score_spread":0.3609955601547514,"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."}}