{"id":"W3001163389","doi":"10.1534/g3.119.400898","title":"Interactively AUDIT Your Growth Curves with a Suite of R Packages","year":2020,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"USable; Suite; Audit; Computer science; Scale (ratio); Data science; Computer graphics (images); Engineering drawing; Industrial engineering; Engineering; Multimedia; Geography; Accounting; Cartography","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":[0.00006884078,0.0001979008,0.0002180119,0.00003611501,0.00003191727,0.00001191631,0.0002061638,0.00007908994,0.00001904231],"category_scores_gemma":[0.00001514295,0.0001705622,0.00007537935,0.0001728163,0.00007088007,0.000003425028,0.0001006972,0.00007305682,0.000008168975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005711544,"about_ca_system_score_gemma":0.0000615564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000718899,"about_ca_topic_score_gemma":0.000004839074,"domain_scores_codex":[0.9990425,0.00003329358,0.0002187622,0.000370823,0.0001244576,0.0002101395],"domain_scores_gemma":[0.9993273,0.000002792594,0.0001261324,0.0002606599,0.0001812153,0.0001018844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007171974,0.00002898149,0.002321181,0.00022983,0.0001127392,0.000001189769,0.0001290029,0.0003711419,0.9480979,0.000007120379,0.0009407657,0.04768844],"study_design_scores_gemma":[0.0002654419,0.0004917248,0.001258782,0.0000331313,0.0000574898,0.00001587634,0.00007313373,0.0000235022,0.8435404,0.000003799118,0.1540111,0.0002256244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6192132,0.3744239,0.004611502,0.0009508802,0.0002029084,0.0002946043,0.00008919013,0.00003184149,0.0001820028],"genre_scores_gemma":[0.8579321,0.1365877,0.004047829,0.0004032616,0.0006459529,0.00001033517,0.00009392737,0.0000399544,0.0002389034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2387189,"threshold_uncertainty_score":0.6955324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327345947062158,"score_gpt":0.2223835906773984,"score_spread":0.2091101312067768,"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."}}