{"id":"W4296007730","doi":"10.3389/fmicb.2022.958785","title":"Microbial containment device: A platform for comprehensive analysis of microbial metabolism without sample preparation","year":2022,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Containment (computer programming); Sample (material); Microbial metabolism; Microorganism; Environmental science; Biochemical engineering; Chemistry; Biology; Computer science; Bacteria; Engineering; Chromatography","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":[0.0003115541,0.0002182257,0.0005994747,0.0004109344,0.0001184183,0.000008281397,0.0002515531,0.0001556465,0.00002352989],"category_scores_gemma":[0.00005121574,0.0002361718,0.000265156,0.0004442311,0.0001046616,0.000005494471,0.0001554184,0.0001377823,4.21711e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008205353,"about_ca_system_score_gemma":0.00007796865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175844,"about_ca_topic_score_gemma":0.0001137709,"domain_scores_codex":[0.9984679,0.0001181907,0.0004859875,0.0005418935,0.00004733283,0.000338667],"domain_scores_gemma":[0.9992864,0.00001240631,0.0002336664,0.0003257804,0.000106416,0.0000353756],"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":[0.001003489,0.000117807,0.001891771,0.00002717662,0.0008886851,3.159106e-7,0.0002136668,0.007378097,0.9795445,0.00003821117,0.008570546,0.0003257772],"study_design_scores_gemma":[0.002035215,0.0004084613,0.001098273,0.000004968982,0.0006135315,0.00002516829,0.0003862499,0.0005333519,0.6223984,0.00002878708,0.3720997,0.0003678963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633557,0.001724816,0.03128134,0.00005027907,0.001597942,0.0007051376,0.001260789,0.00001699327,0.000007027184],"genre_scores_gemma":[0.9724853,0.00009138368,0.02243925,0.0002203575,0.0001652795,0.0001355223,0.00430835,0.00002524282,0.0001293284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3635292,"threshold_uncertainty_score":0.9630805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011156192263935,"score_gpt":0.2552036542867318,"score_spread":0.2440474620227968,"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."}}