{"id":"W2736471347","doi":"10.1016/j.cmpb.2017.06.015","title":"Social network Analysis-based classifier (SNAc): A case study on time course gene expression data","year":2017,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Classifier (UML); Artificial intelligence; Computational biology; Machine learning; Data mining; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00209358,0.0002207036,0.0004074016,0.00007742788,0.0003752362,0.0001312583,0.0005299084,0.0001905496,0.00000481915],"category_scores_gemma":[0.00001437371,0.0001690116,0.00006785236,0.0001733858,0.0002367232,0.000007956827,0.0006441643,0.0001750477,0.000001077301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007447735,"about_ca_system_score_gemma":0.00003529645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003660842,"about_ca_topic_score_gemma":0.00003738926,"domain_scores_codex":[0.9983888,0.0002647682,0.0003671285,0.0005310546,0.0001320471,0.0003162022],"domain_scores_gemma":[0.9982624,0.00004137167,0.0002431556,0.001289982,0.00004257144,0.0001205004],"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":[0.0002014634,0.0006709126,0.02075947,0.00002743566,0.0005694548,0.000381381,0.0003753206,0.0001216986,0.002385528,0.000009137679,0.004356256,0.9701419],"study_design_scores_gemma":[0.01600089,0.009408799,0.06865226,0.0003021645,0.002331598,0.0004519307,0.0009746156,0.8124819,0.001163202,0.0006248466,0.08553378,0.002074018],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5152344,0.000791796,0.4818434,0.0005796175,0.0004874053,0.0008930715,0.00002463704,0.00002344847,0.0001222003],"genre_scores_gemma":[0.747473,0.00002117148,0.2499647,0.0003562283,0.001518968,0.00002502832,0.0005716543,0.00001904172,0.00005018428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9680679,"threshold_uncertainty_score":0.6892092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0914641673659861,"score_gpt":0.4205638900486823,"score_spread":0.3290997226826962,"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."}}