{"id":"W2152752859","doi":"10.1111/j.1472-4669.2009.00215.x","title":"Constraining carbon sources and growth rates of freshwater microbialites in Pavilion Lake using <sup>14</sup>C analysis","year":2009,"lang":"en","type":"article","venue":"Geobiology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; McMaster University","keywords":"Carbonate; Dissolved organic carbon; Groundwater; Environmental chemistry; Carbon fibers; Abiotic component; Total inorganic carbon; Submarine groundwater discharge; Geology; Environmental science; Chemistry; Carbon dioxide; Ecology; Biology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005320262,0.0001213426,0.000398706,0.0004165141,0.0000736448,0.00001001743,0.0001212533,0.0002288612,0.0005976684],"category_scores_gemma":[0.00007107273,0.00009750842,0.0000508299,0.0004018056,0.0005317725,0.00004685664,0.00001439614,0.0001898009,0.000006469136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":5.903059e-7,"about_ca_system_score_gemma":0.00002874027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156152,"about_ca_topic_score_gemma":0.03676854,"domain_scores_codex":[0.998642,0.0003617695,0.0002727556,0.0002776235,0.00004468024,0.0004012226],"domain_scores_gemma":[0.9994128,0.0003178663,0.00007393533,0.0001026512,0.00004190784,0.00005081763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005225839,0.0000101431,0.9967257,0.00001020009,0.00006827411,0.00002143486,0.0005627886,0.001898335,0.0004169953,0.00002902154,0.000003251381,0.0002015438],"study_design_scores_gemma":[0.0003335396,0.0001379086,0.984046,0.00001049129,0.00006638841,0.00008225721,0.0002629324,0.01349019,0.0005483167,0.000861446,0.00004281066,0.0001177289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980388,0.0009201315,0.000005083648,0.0002991317,0.00002694794,0.00007769463,0.00005607092,0.00001015538,0.0005660265],"genre_scores_gemma":[0.9991861,0.00006275577,0.0003744669,0.0001250746,0.00001837445,3.152701e-7,0.000207145,0.000001114863,0.00002467199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03561239,"threshold_uncertainty_score":0.9808079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041050246358918,"score_gpt":0.2502137321459786,"score_spread":0.2298032296823895,"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."}}