{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304706,0.0008811422,0.0008371685,0.0009935162,0.0005088312,0.0009720632,0.001261978,0.001171164,0.001605114],"category_scores_gemma":[0.001124332,0.000535564,0.0005152497,0.0006670356,0.0005191091,0.001045911,0.001196506,0.001184498,0.00150385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011831,"about_ca_system_score_gemma":0.0009751168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004594905,"about_ca_topic_score_gemma":0.0007387235,"domain_scores_codex":[0.9986439,0.0001711333,0.0000925589,0.0003286336,0.0006945726,0.00006924531],"domain_scores_gemma":[0.9991272,0.0002552255,0.0002054322,0.0001598883,0.0001676195,0.00008461951],"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":[0.0001088754,0.00006863911,0.0006019316,0.0001681959,0.00001719144,0.00007190114,0.00004276076,0.0001657597,0.97973,0.001016591,0.001454886,0.01655333],"study_design_scores_gemma":[0.00003961958,0.000421892,0.002627718,0.00003525573,0.00003386193,0.0004556002,0.00003262115,0.005881974,0.9563891,0.000345872,0.03366298,0.00007348261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1586927,0.003484851,0.8116104,0.001193837,0.0005004212,0.001720856,0.005829575,0.0119336,0.005033799],"genre_scores_gemma":[0.167541,0.001905485,0.8191254,0.0008161329,0.0001484365,0.00233512,0.004159986,0.0004100828,0.003558411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001605114,"threshold_uncertainty_score":0.006900012,"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."}}