{"id":"W4226239338","doi":"10.3389/fenvs.2022.821342","title":"Ageing Knowledge Structure in Global River Basins","year":2022,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Australian Research Council; University of Queensland","keywords":"Anthropocene; Drainage basin; Metric system; Environmental resource management; Metric (unit); Structural basin; Geography; Environmental science; Geology; Engineering; Cartography; Geomorphology","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":[0.004668762,0.0001751363,0.0004054004,0.01158092,0.0007021427,0.004396643,0.0006388062,0.0005159965,0.001356195],"category_scores_gemma":[0.02992753,0.0002016857,0.000373883,0.01319536,0.002154825,0.008529039,0.003294908,0.0004444392,0.0001418334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587463,"about_ca_system_score_gemma":0.002460417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009237899,"about_ca_topic_score_gemma":0.009877798,"domain_scores_codex":[0.9966259,0.0009234389,0.0005067344,0.0007212114,0.001001706,0.0002210417],"domain_scores_gemma":[0.9740478,0.01385125,0.00519778,0.001890645,0.004153008,0.0008595395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001195277,0.00004298451,0.5753397,0.001779129,0.0007698127,0.0006831391,0.02222805,0.01951802,0.003811207,0.1328221,0.003879467,0.2390069],"study_design_scores_gemma":[0.00001393532,0.00006572738,0.7063258,0.001107306,0.0003526951,0.0007150943,0.01697595,0.02582892,0.002995909,0.1661858,0.07933059,0.0001022766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940985,0.01119404,0.02196513,0.005207658,0.00004025918,0.00004673885,0.004520871,0.0001778173,0.01586253],"genre_scores_gemma":[0.99366,0.001145311,0.003788315,0.00008340145,0.00001535866,0.00002024391,0.0009754203,0.00001347962,0.000298403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158092,"threshold_uncertainty_score":0.02469105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002300715413518062,"score_gpt":0.2051842490244942,"score_spread":0.2028835336109762,"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."}}