{"id":"W4255227108","doi":"10.1053/j.gastro.2005.09.046","title":"Reply","year":2005,"lang":"en","type":"article","venue":"Gastroenterology","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":"Gene; Cluster analysis; Gene expression; Hierarchical clustering; Expression (computer science); Computational biology; Interpretation (philosophy); Biology; Genetics; Computer science; Artificial intelligence","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":[0.003864433,0.0008675721,0.001395576,0.000891221,0.002387789,0.003078369,0.002649646,0.02567406,0.008194817],"category_scores_gemma":[0.03854682,0.0006949685,0.001233635,0.0006200056,0.002351828,0.005246882,0.002000151,0.03602538,0.009134847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201798,"about_ca_system_score_gemma":0.002836776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265251,"about_ca_topic_score_gemma":0.002199447,"domain_scores_codex":[0.9978429,0.000516979,0.0002918126,0.0003968217,0.0006651413,0.0002862675],"domain_scores_gemma":[0.9843433,0.006078081,0.001087951,0.000596031,0.00620181,0.001692796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004881332,0.00001391952,0.0004481304,0.00004800551,0.0000121138,0.000609294,0.00009245154,0.0000269268,0.00009705197,0.0007497139,0.9935532,0.004300261],"study_design_scores_gemma":[0.00005789541,0.00005318352,0.001322932,0.0002143074,0.00002897636,0.002932182,0.0005231255,0.0001894095,0.0004641974,0.004210206,0.989904,0.00009953688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004169086,0.001703967,0.0002173813,0.9303383,0.06617517,0.00001605947,0.0001040776,0.00008183181,0.0009463357],"genre_scores_gemma":[0.002437634,0.0008558344,0.0002450464,0.9548777,0.03800192,0.0000369071,0.00004178148,0.00002991344,0.003473277],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02567406,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008307592143967892,"score_gpt":0.2434050900281629,"score_spread":0.235097497884195,"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."}}