{"id":"W2050937592","doi":"10.1097/00005537-200402000-00013","title":"Current Applications of Microarrays in Head and Neck Cancer Research","year":2004,"lang":"en","type":"review","venue":"The Laryngoscope","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"","keywords":"DNA microarray; Microarray; Medicine; Microarray analysis techniques; Head and neck cancer; Head and neck; Gene chip analysis; Tissue microarray; Bioinformatics; Cancer; Gene; Gene expression; Biology; Genetics; Surgery; Internal medicine","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":[0.005342225,0.0009864344,0.001780685,0.002906001,0.0005056761,0.002121097,0.001877203,0.002177208,0.003928923],"category_scores_gemma":[0.004369614,0.0005965396,0.0006908166,0.003823595,0.001589043,0.003147613,0.0007975898,0.002114333,0.00336296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560097,"about_ca_system_score_gemma":0.001564272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045207,"about_ca_topic_score_gemma":0.001358911,"domain_scores_codex":[0.997905,0.0006333739,0.0002314421,0.0003505622,0.0007681598,0.0001113936],"domain_scores_gemma":[0.9959045,0.002717313,0.0002393479,0.0001325496,0.0008871591,0.0001190645],"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":[0.00008425357,0.00004311586,0.0006507852,0.01043843,0.00004787092,0.0002049971,0.0001123599,0.0003996952,0.005549182,0.006785105,0.01974335,0.9559409],"study_design_scores_gemma":[0.00001963729,0.0001210103,0.001892957,0.004193373,0.00008090203,0.002072338,0.0002347237,0.0002989827,0.002955622,0.007440435,0.980649,0.00004089707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002442444,0.9931813,0.002164613,0.001910582,0.0006476335,0.00001944225,0.00002497851,0.00003042378,0.001776866],"genre_scores_gemma":[0.001540463,0.9933374,0.002766516,0.0007063033,0.0005671727,0.00004449891,0.0000451329,0.000004668204,0.0009878689],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005342225,"threshold_uncertainty_score":0.02825278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0838353731097733,"score_gpt":0.4389620345862402,"score_spread":0.3551266614764669,"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."}}