{"id":"W4387915637","doi":"10.1007/978-3-031-39094-4_2","title":"Network Development and Comparison in Lipidomics and Metabolomics","year":2023,"lang":"en","type":"book-chapter","venue":"Metabolomics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Metabolomics; Lipidomics; Biological network; Computer science; Computational biology; Systems biology; Data science; Network analysis; Process (computing); Biological data; Data mining; Bioinformatics; Biology; Engineering","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":[0.003219208,0.0007375453,0.0007729105,0.002984469,0.0005012395,0.002062031,0.001671926,0.0005858034,0.0093422],"category_scores_gemma":[0.008682271,0.0004505283,0.0009101728,0.004164957,0.0008672275,0.003814233,0.001328177,0.001149984,0.001976366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365284,"about_ca_system_score_gemma":0.0007172057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002124505,"about_ca_topic_score_gemma":0.002794482,"domain_scores_codex":[0.9986909,0.0005367411,0.00006718385,0.0002873347,0.0003632465,0.00005469436],"domain_scores_gemma":[0.9965204,0.002427733,0.0001410781,0.000402161,0.0004364022,0.00007214443],"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":[0.000173349,0.00006601451,0.00256242,0.0007543894,0.0001728224,0.0001583101,0.0002712616,0.03771652,0.006032554,0.273851,0.02715452,0.6510868],"study_design_scores_gemma":[0.00002133224,0.00008715129,0.004934484,0.000216911,0.0001460632,0.0006024747,0.0002805867,0.2960236,0.01310543,0.5468158,0.1377126,0.00005364664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006958216,0.005655145,0.9638166,0.0009715791,0.0003332626,0.0001088423,0.001293884,0.0020397,0.01882273],"genre_scores_gemma":[0.07408538,0.006971253,0.8972463,0.0002212151,0.0002677512,0.0003646132,0.002781132,0.001043678,0.01701855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0093422,"threshold_uncertainty_score":0.03125274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078356678244498,"score_gpt":0.2313535721298068,"score_spread":0.2105700053473619,"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."}}