{"id":"W2800848095","doi":"10.3389/fmicb.2018.00858","title":"Low-Light Anoxygenic Photosynthesis and Fe-S-Biogeochemistry in a Microbial Mat","year":2018,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"NASA Astrobiology Institute; National Aeronautics and Space Administration; National Science Foundation","keywords":"Anoxygenic photosynthesis; Biogeochemistry; Phototroph; Photosynthesis; Microbial mat; Ecology; Environmental chemistry; Botany; Environmental science; Oceanography; Biology; Earth science; Chemistry; Bacteria; Geology; Paleontology; Cyanobacteria","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":[0.0002299785,0.0001807147,0.0002489391,0.00009070507,0.00005517524,0.00001585871,0.0002204501,0.0002630932,0.0008166927],"category_scores_gemma":[0.00001927358,0.0001717758,0.00003998005,0.0002458356,0.0004367529,0.00006953681,0.0001825042,0.0001438067,0.0001704549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016477,"about_ca_system_score_gemma":0.00001315543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001986485,"about_ca_topic_score_gemma":0.0009466101,"domain_scores_codex":[0.9987071,0.00007090271,0.0002829479,0.0004850168,0.00003336882,0.0004206855],"domain_scores_gemma":[0.9996636,0.00001415067,0.00007664979,0.0001861664,0.000005970748,0.00005349574],"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":[0.00006141589,0.00005625595,0.07606965,0.00001402977,0.000004736758,0.000007012299,0.0002388018,6.694771e-7,0.9011835,6.973308e-7,0.02094635,0.001416892],"study_design_scores_gemma":[0.0005992533,0.00005457355,0.00783325,0.00002871687,0.000006422292,0.00003504746,0.00007099724,0.00004400233,0.9414504,0.0001023789,0.04951413,0.0002608463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977297,0.0001917987,0.00009813348,0.0002549899,0.0005701167,0.0002018622,0.00003512085,0.00001496253,0.0009033274],"genre_scores_gemma":[0.9946155,0.0001887814,0.004201486,0.0004278901,0.0001076374,0.000009007535,0.00004818152,0.00001538347,0.0003861222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0682364,"threshold_uncertainty_score":0.8942212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002938566141696549,"score_gpt":0.1749215726173514,"score_spread":0.1719830064756549,"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."}}