{"id":"W1982220374","doi":"10.1080/02626667.2012.727212","title":"Modelling streamflow trends for a watershed with limited data: case of the Litani basin, Lebanon","year":2012,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ministry of Environment","keywords":"Streamflow; Environmental science; Structural basin; Surface runoff; Watershed; Drainage basin; Hydrology (agriculture); Climatology; Precipitation; Meteorology; Geology; Geography","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":[0.0006382011,0.0003972792,0.0003818905,0.0007491434,0.0004861326,0.001048854,0.0008272724,0.0009099048,0.0008374765],"category_scores_gemma":[0.001861834,0.000290178,0.0004042155,0.001019127,0.0005091473,0.0006093389,0.0004016144,0.0003516222,0.00006529225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00291968,"about_ca_system_score_gemma":0.001299354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1389323,"about_ca_topic_score_gemma":0.1107493,"domain_scores_codex":[0.9998272,0.00006648213,0.00001042617,0.00003331315,0.00001695499,0.00004574281],"domain_scores_gemma":[0.999307,0.0003982849,0.00008845924,0.00003327214,0.0001180345,0.00005484059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001411159,0.0001462521,0.06524501,0.00005166746,0.0000561304,0.001415302,0.0001575182,0.9257783,0.001414663,0.001050101,0.0003159727,0.00422789],"study_design_scores_gemma":[0.00002655948,0.00003210303,0.01719627,0.000007430908,0.00001813791,0.0000270119,0.0001419423,0.9817762,0.0003652645,0.0002219347,0.0001769377,0.00001025797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986426,0.00002939054,0.0006148715,0.00007900778,0.000002551779,0.0000100417,0.0002603976,0.00001868093,0.0003425371],"genre_scores_gemma":[0.998725,0.00004314882,0.0007053067,0.000007210864,0.000003586267,0.00001768681,0.0002696269,0.000003828455,0.0002245618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1389323,"threshold_uncertainty_score":0.2762472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06767368426495853,"score_gpt":0.2735335004343213,"score_spread":0.2058598161693628,"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."}}