{"id":"W4247714079","doi":"10.1177/117693510700300027","title":"Public Databases and Software for the Pathway Analysis of Cancer Genomes","year":2007,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Data science; Informatics; Genomics; Computer science; Computational biology; Biological database; Key (lock); Pathway analysis; Genome; Bioinformatics; Biology; Genetics; Political science; 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":[0.002547696,0.002822208,0.002289258,0.01018959,0.00166342,0.00288449,0.003896751,0.00192046,0.04152949],"category_scores_gemma":[0.009956159,0.001647472,0.00271828,0.01856159,0.0005376414,0.002341164,0.003723481,0.00288405,0.0256711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624253,"about_ca_system_score_gemma":0.004091803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006572529,"about_ca_topic_score_gemma":0.008323777,"domain_scores_codex":[0.9985476,0.0002306282,0.0003598511,0.0002777396,0.000430685,0.0001534999],"domain_scores_gemma":[0.9961637,0.001530875,0.0006194473,0.0008057694,0.0005682011,0.0003120155],"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":[0.00216366,0.000393443,0.006553139,0.0128634,0.001089856,0.001293434,0.0007077474,0.01452592,0.01578329,0.03384186,0.7338482,0.1769361],"study_design_scores_gemma":[0.0006320269,0.0001305638,0.008136212,0.0008841176,0.000459068,0.001262827,0.0002719412,0.01828293,0.01158901,0.04648877,0.9116443,0.0002182874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.004526018,0.003454635,0.08847311,0.0007920825,0.0002450789,0.0007169459,0.7732616,0.1162964,0.01223409],"genre_scores_gemma":[0.009568525,0.003176867,0.1294519,0.0003218513,0.00005032873,0.00172036,0.8474476,0.005819493,0.002443162],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04152949,"threshold_uncertainty_score":0.13893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604395602923537,"score_gpt":0.2917303726265303,"score_spread":0.255686416597295,"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."}}