{"id":"W3184448389","doi":"","title":"Climate Change Impacts on Catchment Hydrology in Eastern Canada","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Climate change; Drainage basin; Environmental science; Catchment hydrology; Physical geography; Water resource management; Geography; Geology; Oceanography","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":[0.0003223139,0.0001601845,0.0002026912,0.000778007,0.001745376,0.001446881,0.0005375189,0.0004118815,0.00266621],"category_scores_gemma":[0.001212164,0.0001544729,0.0003104542,0.002293257,0.0007491826,0.0004445632,0.0006796243,0.0004967386,0.0001784917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0348887,"about_ca_system_score_gemma":0.02832429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979659,"about_ca_topic_score_gemma":0.9991062,"domain_scores_codex":[0.9996896,0.00002471117,0.00001590302,0.00003697017,0.00008658887,0.0001463283],"domain_scores_gemma":[0.999041,0.00009294437,0.00009993209,0.00002182078,0.0005093652,0.0002348538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002956693,0.0001027252,0.9634288,0.00007064234,0.0001318135,0.0005294809,0.00175298,0.004873557,0.001304468,0.0008928083,0.006134306,0.02048276],"study_design_scores_gemma":[0.000008218164,0.00000524799,0.9951415,0.00001341967,0.00001680494,0.00002976145,0.001437864,0.001022347,0.0001067284,0.00006129075,0.002146819,0.000009905372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992389,0.0004476004,0.00005959852,0.0009639647,0.00001684973,0.00000969949,0.002426751,0.00002109002,0.003665421],"genre_scores_gemma":[0.9965734,0.0004137013,0.00006804885,0.0000918074,0.00000611191,0.000003889274,0.0006919708,0.000007416685,0.002143706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0348887,"threshold_uncertainty_score":0.2531364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466617832528226,"score_gpt":0.2256158328799274,"score_spread":0.2109496545546451,"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."}}