{"id":"W2156871280","doi":"10.1186/gb-2007-8-8-r160","title":"Network motif analysis of a multi-mode genetic-interaction network","year":2007,"lang":"en","type":"article","venue":"Genome Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Michael Smith Health Research BC; University of Washington","keywords":"Motif (music); Genetic network; Computer science; Computational biology; Interaction network; Mode (computer interface); Software; Network motif; Gene; Artificial intelligence; Biological network; Data mining; Biology; Genetics; Human–computer interaction; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004700374,0.0003102986,0.0004133169,0.002461796,0.0004034071,0.0006000612,0.0005369973,0.0004039711,0.001796755],"category_scores_gemma":[0.002907602,0.0001437507,0.0004808,0.001537804,0.00028062,0.000676821,0.0003914832,0.000394238,0.0002259972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005390157,"about_ca_system_score_gemma":0.0004345767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002419385,"about_ca_topic_score_gemma":0.002938658,"domain_scores_codex":[0.999639,0.00009103299,0.00001724149,0.0001275841,0.00008571264,0.00003934711],"domain_scores_gemma":[0.9986608,0.0006982231,0.0002208718,0.00009874683,0.0002200682,0.0001012958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001201279,0.0002891282,0.0861081,0.001052599,0.0006597774,0.001596968,0.0009834898,0.3628818,0.1894559,0.06399021,0.004311705,0.2874691],"study_design_scores_gemma":[0.000018379,0.00006974735,0.02049792,0.00003096216,0.00006654095,0.0004491392,0.0000943679,0.9368696,0.006939515,0.03323564,0.001696107,0.00003215198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4852335,0.0003897994,0.5090437,0.0002313938,0.00002210671,0.000104855,0.001835801,0.001074628,0.002064267],"genre_scores_gemma":[0.8610469,0.0001292621,0.1361217,0.00003383759,0.00001226223,0.0001125107,0.001674814,0.0000584724,0.0008102285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002461796,"threshold_uncertainty_score":0.006010711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223051076502719,"score_gpt":0.2724488565102989,"score_spread":0.2602183457452717,"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."}}