{"id":"W4304757261","doi":"10.1093/database/baac081","title":"KinMod database: a tool for investigating metabolic regulation","year":2022,"lang":"en","type":"article","venue":"Database","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ontology; Homogeneous; Data mining; Missing data; Metabolic network; Systems biology; Database; Computational biology; Machine learning; Biology; Mathematics","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":[0.001393236,0.002088282,0.001701353,0.005720483,0.0007430642,0.002478583,0.003084019,0.001511646,0.02245301],"category_scores_gemma":[0.004362252,0.001027579,0.001666107,0.006360373,0.0003066957,0.002796049,0.002212705,0.001457698,0.01294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009175084,"about_ca_system_score_gemma":0.001791355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560681,"about_ca_topic_score_gemma":0.003619994,"domain_scores_codex":[0.9991466,0.0001005175,0.0001813783,0.0002573005,0.0002477058,0.00006638912],"domain_scores_gemma":[0.9981323,0.0006809731,0.0003344298,0.0004404639,0.0002724481,0.0001393572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004058486,0.0007037005,0.03283613,0.01404331,0.0009884222,0.002878302,0.001130424,0.03282724,0.04008203,0.03175053,0.6475698,0.1911316],"study_design_scores_gemma":[0.0004569133,0.0002180477,0.02171514,0.0008007601,0.0003081865,0.001800101,0.0005078413,0.07636275,0.03284742,0.03203244,0.8326184,0.0003320835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01344403,0.001844009,0.07565435,0.0002782195,0.0001613077,0.0002773808,0.7825056,0.1174149,0.008420232],"genre_scores_gemma":[0.03473423,0.001638252,0.09486992,0.000260811,0.00004289203,0.0008146521,0.8598847,0.005748989,0.002005475],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02245301,"threshold_uncertainty_score":0.07511282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500731335006908,"score_gpt":0.247219779598404,"score_spread":0.2322124662483349,"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."}}