{"id":"W2026301784","doi":"10.1002/hyp.8200","title":"A comparison of fibre‐optic distributed temperature sensing to traditional methods of evaluating groundwater inflow to streams","year":2011,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Syracuse University; National Science Foundation","keywords":"Groundwater; Inflow; STREAMS; Environmental science; Hydrology (agriculture); Groundwater flow; Groundwater discharge; Spatial variability; Geology; Aquifer; Geotechnical engineering; Computer science","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":[0.0003745264,0.0001497668,0.0003366186,0.00003925773,0.0001020505,0.0000147722,0.0001705966,0.00007632908,0.0005070748],"category_scores_gemma":[0.0003857657,0.0001065676,0.00004560481,0.0004221589,0.0001521449,0.0001285945,0.0001653582,0.00009608319,0.00003089849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003832735,"about_ca_system_score_gemma":0.0000141429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008067544,"about_ca_topic_score_gemma":0.00004613204,"domain_scores_codex":[0.9986548,0.0001231426,0.0003894631,0.000295123,0.0003212172,0.0002161926],"domain_scores_gemma":[0.9993964,0.0001948694,0.0001084306,0.0001262647,0.00008122485,0.00009285258],"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":[0.000674439,0.001875307,0.1706463,0.0004374069,0.0001665309,0.00001654235,0.0323375,0.01074996,0.6243781,0.0002406144,0.0006037136,0.1578735],"study_design_scores_gemma":[0.0006939046,0.004398277,0.4305077,0.0001517072,0.0001349009,0.00002293466,0.001232033,0.005210925,0.5539112,0.001988591,0.001120056,0.0006278034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656335,0.00003137618,0.03340027,0.0001464156,0.00003640444,0.0002154087,0.0000178272,0.00002789594,0.0004909589],"genre_scores_gemma":[0.9459393,7.168834e-7,0.05379669,0.0001428198,0.00001605905,0.00001675031,0.00001845024,0.000005963602,0.00006326014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2598614,"threshold_uncertainty_score":0.5552114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202615751128226,"score_gpt":0.3549582738255009,"score_spread":0.2346966987126783,"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."}}