{"id":"W2562998547","doi":"10.1109/globalsip.2016.7906021","title":"Community detection from genomic datasets across human cancers","year":2016,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cluster analysis; Adenocarcinoma; Computational biology; Biology; Cancer; Graph; Computer science; Genetics; Artificial intelligence; Theoretical computer science","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":[0.001767548,0.0004873508,0.0006713514,0.006258596,0.0008341717,0.0007907192,0.0006293547,0.0009921744,0.0007000366],"category_scores_gemma":[0.007937776,0.0002561075,0.0009941733,0.004083774,0.0004159906,0.0005556089,0.001344283,0.000611957,0.000269555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008286577,"about_ca_system_score_gemma":0.0007594172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009623567,"about_ca_topic_score_gemma":0.01638718,"domain_scores_codex":[0.9984895,0.0004829454,0.0001107585,0.000567248,0.0002097684,0.0001396863],"domain_scores_gemma":[0.997047,0.001467041,0.000468701,0.0003881723,0.0004186326,0.000210583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003239508,0.0007538115,0.5084962,0.003264404,0.002261425,0.002447729,0.001628961,0.1032819,0.07483058,0.008190929,0.02816928,0.2634352],"study_design_scores_gemma":[0.0002914352,0.0004734785,0.4548297,0.0003643277,0.0007977737,0.002878363,0.001767662,0.4509825,0.01683197,0.04038465,0.03027585,0.0001221634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749927,0.003729435,0.07151773,0.0009051829,0.00008492341,0.0003992824,0.04551364,0.001280194,0.001576945],"genre_scores_gemma":[0.8531403,0.0008709177,0.06847023,0.0001493789,0.00006285294,0.0002768643,0.0764443,0.00007339694,0.0005117371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009623567,"threshold_uncertainty_score":0.01913506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140890353807569,"score_gpt":0.2691312256194242,"score_spread":0.2550421902386673,"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."}}