{"id":"W4408523959","doi":"10.46427/gold2024.24095","title":"Deciphering river baseflow age distribution through environmental and artificial tracing experiments in a partially ice-covered river (Quebec, Canada).","year":2024,"lang":"en","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baseflow; Distribution (mathematics); Environmental science; Tracing; Hydrology (agriculture); Physical geography; Geology; Geography; Streamflow; Computer science; Drainage basin; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002480886,0.0002520725,0.000185079,0.0002566521,0.0008213068,0.0003009849,0.0005615082,0.0003111885,0.0005220966],"category_scores_gemma":[0.0004164328,0.0001094617,0.0001643883,0.0004075815,0.0005032229,0.0001755222,0.000234802,0.0004481436,0.00006571627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005801806,"about_ca_system_score_gemma":0.00266768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8137864,"about_ca_topic_score_gemma":0.8846755,"domain_scores_codex":[0.9998541,0.00001009925,0.000003856073,0.00006144262,0.00003005523,0.00004049333],"domain_scores_gemma":[0.9995566,0.0001089993,0.0000890609,0.00002886431,0.0001341882,0.00008238357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001191953,0.001293445,0.1964021,0.0001480397,0.0001102728,0.0003127314,0.001387222,0.02883189,0.7429338,0.0008910465,0.001636738,0.02486078],"study_design_scores_gemma":[0.0001015219,0.001139646,0.8029173,0.00002055018,0.0001042961,0.00009260064,0.0005999861,0.0957211,0.09522817,0.0002265454,0.00375878,0.00008955753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975188,0.00004979193,0.001013937,0.00002044944,0.000003139692,0.00002933636,0.0008816997,0.00002615167,0.0004569162],"genre_scores_gemma":[0.9949233,0.00007160819,0.00285879,0.00003923682,0.000001417381,0.00004999759,0.0009216953,0.00001743488,0.001116506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1862136,"threshold_uncertainty_score":0.3746205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079475470239213,"score_gpt":0.2139308402094292,"score_spread":0.1931360855070371,"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."}}