{"id":"W1980652169","doi":"","title":"Hierarchical Cluster analysis of SAGE data for cancer profiling","year":2001,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Cluster analysis; Computer science; Preprocessor; Data mining; Clustering high-dimensional data; Hierarchical clustering; Data pre-processing; Subspace topology; Artificial intelligence; Pattern recognition (psychology)","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":[0.002046671,0.0007879602,0.0009795323,0.003873161,0.001396412,0.001134156,0.0007974926,0.0004872574,0.005225504],"category_scores_gemma":[0.008769774,0.0003210087,0.001246427,0.004605494,0.0006549431,0.0007556035,0.0009896585,0.001416664,0.00330461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006594298,"about_ca_system_score_gemma":0.001475541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520301,"about_ca_topic_score_gemma":0.004946531,"domain_scores_codex":[0.9970805,0.0009107383,0.0001611944,0.0004144952,0.001229289,0.0002038534],"domain_scores_gemma":[0.9962785,0.00147034,0.0002726775,0.0009915215,0.0008540727,0.0001329709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006280649,0.0003389913,0.01440935,0.0008743733,0.0004154778,0.0004229223,0.001203874,0.03799364,0.1781268,0.025951,0.02043732,0.7191982],"study_design_scores_gemma":[0.0001334762,0.0007322978,0.08728424,0.0002001324,0.0003236772,0.001322982,0.001352875,0.5232432,0.1864406,0.09449097,0.1038936,0.0005819648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02170067,0.0002496223,0.9692225,0.0002291882,0.0001296997,0.0002979826,0.002295759,0.004199301,0.001675246],"genre_scores_gemma":[0.0429238,0.0001710412,0.9518119,0.00004755182,0.0000495433,0.0003784695,0.003190498,0.0004027682,0.001024496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005225504,"threshold_uncertainty_score":0.01748109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423730316158471,"score_gpt":0.3483619849807667,"score_spread":0.304124681819182,"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."}}