{"id":"W4236839136","doi":"10.1007/s10295-019-02138-w","title":"Introduction to the special issue: “Natural Product Discovery and Development in the Genomic Era: 2019”","year":2019,"lang":"en","type":"editorial","venue":"Journal of Industrial Microbiology & Biotechnology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Natural product; Natural (archaeology); Computational biology; Drug discovery; Biology; Data science; Computer science; Bioinformatics","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":[0.006671458,0.004108049,0.004576121,0.005101773,0.003258007,0.01053387,0.003506401,0.01228977,0.02749361],"category_scores_gemma":[0.02395588,0.00115054,0.002765854,0.00201068,0.002139296,0.005425057,0.002417765,0.01710102,0.01961452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141472,"about_ca_system_score_gemma":0.00422192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228086,"about_ca_topic_score_gemma":0.004246569,"domain_scores_codex":[0.9941011,0.0009362501,0.0007660224,0.0007428963,0.002992028,0.0004616963],"domain_scores_gemma":[0.9740078,0.00823677,0.002412272,0.0004725013,0.009577111,0.005293426],"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":[0.00003883318,0.00001085904,0.00001900777,0.0001973494,0.00001226685,0.00005274008,0.000005317505,0.00001511541,0.0000687724,0.0001613544,0.9954368,0.00398157],"study_design_scores_gemma":[0.0000906014,0.00005683013,0.0002859882,0.0004717018,0.00006115955,0.0002148364,0.00003136201,0.0001577159,0.0001587096,0.001072544,0.9973695,0.00002909269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001469432,0.003278963,0.00007763426,0.01859306,0.9771464,0.00001120607,0.0000470333,0.00003587559,0.0007950593],"genre_scores_gemma":[0.0001735161,0.003137729,0.00007773467,0.01635623,0.974872,0.00001358554,0.00005237317,0.00003328546,0.005283407],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02749361,"threshold_uncertainty_score":0.09197533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009434826005270664,"score_gpt":0.2312012968948555,"score_spread":0.2217664708895848,"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."}}