{"id":"W4300511591","doi":"10.1111/j.1742-4658.2005.4739_3.x","title":"Functional Genomics, Proteomics, Bioinformatics","year":2005,"lang":"en","type":"article","venue":"FEBS Journal","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Chiao Tung University; Vetenskapsrådet; Russian Foundation for Basic Research; Academia Sinica; Grantová Agentura České Republiky","keywords":"Citation; Proteomics; Genomics; Computer science; Functional genomics; World Wide Web; Information retrieval; Bioinformatics; Computational biology; Biology; Genetics; Genome; Gene","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":[0.002696276,0.001502819,0.001584438,0.002483358,0.0008476715,0.002918805,0.001528927,0.0008970261,0.01082001],"category_scores_gemma":[0.002631917,0.0005919653,0.001201689,0.003145846,0.0004507332,0.0009519023,0.001058646,0.001333705,0.0157078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019396,"about_ca_system_score_gemma":0.001865577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003318284,"about_ca_topic_score_gemma":0.002941604,"domain_scores_codex":[0.9991347,0.000231523,0.00007936562,0.0002208715,0.0002403877,0.00009317737],"domain_scores_gemma":[0.9991851,0.0002623179,0.00008538945,0.0001626127,0.0001936716,0.0001108015],"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":[0.001125636,0.0003231164,0.004901666,0.004684207,0.0006527015,0.0007816412,0.0002580215,0.007090223,0.2464725,0.01046343,0.1423152,0.5809317],"study_design_scores_gemma":[0.0003780042,0.000590826,0.02800528,0.0007101261,0.0004435129,0.003222761,0.0005273199,0.08094541,0.1147131,0.07718629,0.6929802,0.0002972487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0209625,0.02076568,0.7619063,0.008468956,0.001081272,0.001148308,0.08133706,0.08135128,0.02297869],"genre_scores_gemma":[0.08232628,0.01661471,0.7566497,0.004479496,0.000577591,0.001745716,0.1170453,0.004459631,0.01610156],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01082001,"threshold_uncertainty_score":0.03619653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584928546990168,"score_gpt":0.2377384371095917,"score_spread":0.22188915163969,"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."}}