{"id":"W2095246416","doi":"10.1002/cbic.201402434","title":"Automated Identification of Depsipeptide Natural Products by an Informatic Search Algorithm","year":2014,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Depsipeptide; Nonribosomal peptide; Computational biology; Natural product; Gene; Biology; Genetics; Biochemistry; Biosynthesis","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":[0.001171041,0.001017199,0.001365245,0.001664334,0.0005430489,0.001024546,0.001078333,0.001374066,0.002918571],"category_scores_gemma":[0.002767151,0.0004074554,0.0008880867,0.001682251,0.0005218999,0.00103173,0.0008056141,0.0007127044,0.0007071701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007440353,"about_ca_system_score_gemma":0.002061399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002476437,"about_ca_topic_score_gemma":0.003841161,"domain_scores_codex":[0.9994609,0.0001803508,0.00005202891,0.0001240984,0.0001350244,0.00004766976],"domain_scores_gemma":[0.9987099,0.000851705,0.00009741986,0.00007259222,0.0002169441,0.00005147549],"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":[0.001586486,0.0006416044,0.005346681,0.0006158092,0.0002852819,0.0003972442,0.0001253287,0.5203784,0.03873629,0.01137459,0.008524023,0.4119883],"study_design_scores_gemma":[0.00006183633,0.00007120374,0.0001711307,0.000004568376,0.0000245584,0.00004047193,0.00001045534,0.993045,0.003573574,0.002155492,0.0008341431,0.000007458797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1094639,0.0006704655,0.8773585,0.000424795,0.00005788839,0.0002325277,0.001168736,0.007060019,0.003563115],"genre_scores_gemma":[0.2096951,0.0002158139,0.7860606,0.0002420454,0.00003454665,0.0002551056,0.002136581,0.0002156419,0.001144474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002918571,"threshold_uncertainty_score":0.009763598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009093336888417295,"score_gpt":0.2553347823561016,"score_spread":0.2462414454676843,"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."}}