{"id":"W2146866908","doi":"10.5194/esurf-1-13-2013","title":"Climate, tectonics or morphology: what signals can we see in drainage basin sediment yields?","year":2013,"lang":"en","type":"article","venue":"Earth Surface Dynamics","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural basin; Tectonics; Sediment; Geology; Sedimentary rock; Drainage basin; Climate change; Back-stripping; Tectonic uplift; Geomorphology; Paleontology; Sedimentary basin; Sedimentary basin analysis; Oceanography; Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004167823,0.0002811415,0.0003243952,0.00005043991,0.0001527044,0.0000794611,0.0003388193,0.0002699785,0.01342407],"category_scores_gemma":[0.00001990846,0.0002409038,0.00005905134,0.0003982254,0.0002766947,0.0007361362,0.0001263912,0.000389158,0.001303657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260985,"about_ca_system_score_gemma":0.00003738609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007541414,"about_ca_topic_score_gemma":0.007564653,"domain_scores_codex":[0.9979727,0.00009770344,0.0003826326,0.0005203108,0.0002801547,0.0007465084],"domain_scores_gemma":[0.9992539,0.0001414508,0.00009807175,0.0003399226,0.00001227108,0.0001544127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002277704,0.0009197682,0.6585007,0.0001849679,0.00007669337,0.0006217285,0.004024047,0.2960251,0.01254825,0.0002611653,0.001011461,0.02559828],"study_design_scores_gemma":[0.005692162,0.001697264,0.5994168,0.0006162297,0.0001430864,0.0001915453,0.006780115,0.3456539,0.0164635,0.004476641,0.01518046,0.003688326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932569,0.0002002844,0.0001833101,0.00353337,0.0002278173,0.0005375176,0.00002853502,0.00008801676,0.001944212],"genre_scores_gemma":[0.9942833,0.001169668,0.001529429,0.001244523,0.00001031449,0.00003118341,0.00005818903,0.00002832964,0.001645079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05908398,"threshold_uncertainty_score":0.9994739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008368098025486083,"score_gpt":0.2123998485323356,"score_spread":0.2040317505068496,"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."}}