{"id":"W4248604737","doi":"10.22215/etd/2015-10600","title":"Towards Personalized Interactomes","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Interactome; Single-nucleotide polymorphism; Computational biology; SNP; Sequence (biology); Biology; Genetics; Bioinformatics; Data mining; Genotype; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002830452,0.001439919,0.001316873,0.004549483,0.001397257,0.004255688,0.001873642,0.001827791,0.01709468],"category_scores_gemma":[0.01399928,0.001016634,0.001882642,0.003897398,0.0007745458,0.00675207,0.004853257,0.002724309,0.01178565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239178,"about_ca_system_score_gemma":0.001438662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016067,"about_ca_topic_score_gemma":0.002197688,"domain_scores_codex":[0.9965382,0.001063552,0.0001501174,0.001029491,0.001048303,0.00017033],"domain_scores_gemma":[0.9939471,0.002654055,0.0003479978,0.002009725,0.0008304137,0.0002107117],"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":[0.0008090215,0.0002947797,0.01162473,0.001908409,0.0006365613,0.0008707519,0.001238564,0.02772705,0.01633265,0.1920522,0.1349098,0.6115955],"study_design_scores_gemma":[0.00008276846,0.0000993574,0.004493316,0.00042843,0.0002678299,0.001238543,0.000599678,0.1033758,0.01669097,0.4878202,0.3848026,0.0001005818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.019959,0.004409553,0.8895142,0.006627521,0.0005636557,0.0003032224,0.01738953,0.01816082,0.04307246],"genre_scores_gemma":[0.1443239,0.006783299,0.7799435,0.002587161,0.0004781308,0.0007112414,0.04036117,0.003422993,0.02138871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01709468,"threshold_uncertainty_score":0.05718738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100100899180722,"score_gpt":0.2863715371178212,"score_spread":0.2753705281260139,"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."}}