{"id":"W2987897897","doi":"10.1007/s10311-019-00943-4","title":"Early-earth nonprotein amino acid metabolites in modern cyanobacterial microbialites","year":2019,"lang":"en","type":"article","venue":"Environmental Chemistry Letters","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cyanobacteria; Amino acid; Alanine; Glycine; Biosynthesis; Biology; Population; Chemistry; Environmental chemistry; Biochemistry; Stereochemistry; Bacteria; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001512716,0.0002769858,0.0002920469,0.00001915517,0.00009114652,0.00002349216,0.0004706506,0.0001761358,0.02731211],"category_scores_gemma":[0.000006909521,0.000300693,0.0001001401,0.00007832548,0.0003633958,0.0002096391,0.0004686831,0.0004287917,0.002348177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619663,"about_ca_system_score_gemma":0.000004306991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502681,"about_ca_topic_score_gemma":0.00003003619,"domain_scores_codex":[0.9984857,0.0001327385,0.0002820556,0.0004767962,0.0001329859,0.0004897603],"domain_scores_gemma":[0.999272,0.00004099674,0.00009894408,0.0005006167,5.128459e-7,0.00008694131],"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":[0.00006874808,0.0001227022,0.08345012,0.00001110431,0.00001338269,0.000007886858,0.000311813,0.0001490879,0.9155352,6.949881e-7,0.0001341042,0.0001952037],"study_design_scores_gemma":[0.0007449551,0.00002137034,0.180591,0.000008245317,0.000008476253,0.00001222799,0.00003815252,0.00002535224,0.8145466,0.00004759982,0.003629585,0.0003264079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975526,0.00002750879,0.000006764728,0.0002301795,0.0001132044,0.0002738904,0.00004932055,0.00002789404,0.001718579],"genre_scores_gemma":[0.9976873,0.00001135664,0.0002635751,0.001028215,0.00006684138,0.00002121549,0.0001984348,0.00002615856,0.0006969491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009885,"threshold_uncertainty_score":0.9999445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003035612756304711,"score_gpt":0.162768210590148,"score_spread":0.1597325978338433,"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."}}