{"id":"W4213437957","doi":"10.5194/hess-2022-49","title":"Intertidal spring discharge to a coastal ecosystem and impacts of climate change on future groundwater temperature: A multi-method investigation","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Agriculture and Agri-Food Canada; McGill University; Dalhousie University","funders":"Global Water Futures; Fisheries and Oceans Canada; Canada Research Chairs; Canada First Research Excellence Fund; Ocean Frontier Institute; Dalhousie University; Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Intertidal zone; Groundwater; Submarine groundwater discharge; Hydrology (agriculture); Spring (device); Shore; Groundwater discharge; Climate change; Discharge; Aquifer; Advection; STREAMS; Shortwave radiation; Oceanography; Groundwater flow; Geology; Geography; Drainage basin","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003293772,0.000410124,0.0004429429,0.001532697,0.0004611647,0.0009343966,0.000752976,0.0005229588,0.0006769058],"category_scores_gemma":[0.005111415,0.0002635407,0.001265038,0.001250148,0.0003005739,0.0005220852,0.0009854505,0.0003664212,0.00009936825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009469106,"about_ca_system_score_gemma":0.0006956039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707121,"about_ca_topic_score_gemma":0.02935054,"domain_scores_codex":[0.9989668,0.0005375175,0.00007302868,0.0001944121,0.0001596364,0.00006850996],"domain_scores_gemma":[0.9964868,0.002110336,0.000444969,0.0004716942,0.0003923014,0.00009392549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001232037,0.0007942367,0.8370572,0.0003352001,0.002139887,0.0003936619,0.001058253,0.05661237,0.01780858,0.001172638,0.0005949136,0.08080111],"study_design_scores_gemma":[0.00005430602,0.0004360173,0.4267323,0.00004241936,0.0003133942,0.0002217462,0.0008981326,0.5651955,0.003758857,0.0008446164,0.001417192,0.00008553776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562961,0.0002577905,0.04156553,0.0000497378,0.00001222715,0.0001235234,0.0007379446,0.0001626266,0.0007945558],"genre_scores_gemma":[0.9586975,0.00008299002,0.03999078,0.0000187122,0.000006394842,0.000170592,0.0005102182,0.00005076534,0.0004720053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01707121,"threshold_uncertainty_score":0.03394371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087838186057005,"score_gpt":0.247928849867523,"score_spread":0.2270504680069529,"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."}}