{"id":"W2907041732","doi":"10.1002/hyp.13373","title":"Streamwater ages in nested, seasonally cold Canadian watersheds","year":2018,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Environmental science; Watershed; Fraction (chemistry); Streamflow; Mean transit time; Hydrology (agriculture); TRACER; Geography; Geology; Chemistry; Drainage basin; Computer science; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002413775,0.0001900645,0.0001891268,0.00007146869,0.0002461445,0.00003057631,0.0003262023,0.0001403043,0.003162279],"category_scores_gemma":[0.00008859289,0.0001333706,0.00002558892,0.0003514232,0.0007156089,0.0002115745,0.0002231524,0.0001415892,0.002080765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009036155,"about_ca_system_score_gemma":0.00001769603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01253341,"about_ca_topic_score_gemma":0.2541284,"domain_scores_codex":[0.9984861,0.00005843271,0.0001830311,0.0004497408,0.0001661366,0.0006565679],"domain_scores_gemma":[0.9995819,0.00004509074,0.00003334288,0.0001570431,0.00001405104,0.0001685617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000515599,0.0001025113,0.9919522,0.00002506428,0.00001830382,0.0001760627,0.0005488553,0.0004729477,0.000350634,0.000122685,0.005858095,0.0003210197],"study_design_scores_gemma":[0.001142973,0.001132747,0.7364667,0.0000401679,0.00005218207,0.00002317875,0.0001423316,0.000953555,0.005078922,0.0092114,0.2448089,0.0009469561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487152,0.00005207276,0.00001646238,0.004517095,0.00007228967,0.000202254,0.000003753509,0.00007074555,0.04635014],"genre_scores_gemma":[0.9940965,0.0000409429,0.0001070043,0.003933753,0.00006374804,0.00005231392,0.00000877185,0.000009553227,0.001687373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2554855,"threshold_uncertainty_score":0.9986962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263808680327248,"score_gpt":0.2172627491269267,"score_spread":0.2046246623236542,"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."}}