{"id":"W4318620490","doi":"10.1128/aem.02007-22","title":"Minimizing the Lag Phase of Cupriavidus necator Growth under Autotrophic, Heterotrophic, and Mixotrophic Conditions","year":2023,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ontario Ministry of Economic Development, Job Creation and Trade; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Mixotroph; Cupriavidus necator; Heterotroph; Autotroph; Lag; Lag time; Phase lag; Biology; Bacteria; Chemistry; Biological system; Polyhydroxyalkanoates; Mathematics","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":[0.0001609463,0.0004827004,0.0002918633,0.000122504,0.000136941,0.0003849227,0.0002686362,0.000255148,0.0003828352],"category_scores_gemma":[0.000222598,0.00008852998,0.0001980459,0.000153488,0.00009454949,0.0002923007,0.0002928586,0.0003406368,0.0001495933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993228,"about_ca_system_score_gemma":0.0003521963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008191351,"about_ca_topic_score_gemma":0.002061676,"domain_scores_codex":[0.9998025,0.0000290621,0.00002961273,0.0000580402,0.00004713867,0.00003359423],"domain_scores_gemma":[0.999824,0.00002967731,0.00005436315,0.00002306375,0.00004048987,0.00002840035],"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":[0.0000742793,0.0000227261,0.0004402914,0.00006248327,0.000003505059,0.00001833427,0.00001712579,0.00006899027,0.9975948,0.00001822502,0.00001188077,0.001667383],"study_design_scores_gemma":[0.000003621784,0.0003626985,0.004990962,0.00000596144,0.00001208834,0.00004334603,0.000034679,0.0004297539,0.9933831,0.00001269353,0.000714727,0.000006315805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955916,0.001100986,0.002240364,0.00007267929,0.00002402963,0.00002912118,0.0002072718,0.00003594847,0.000698044],"genre_scores_gemma":[0.9919186,0.0006900921,0.005863126,0.0000323356,0.000007613403,0.00005489771,0.0003805287,0.00001418734,0.001038658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008191351,"threshold_uncertainty_score":0.001628757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009021890582810041,"score_gpt":0.1968683363695615,"score_spread":0.1878464457867515,"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."}}