{"id":"W4251648694","doi":"10.5194/hessd-7-6381-2010","title":"Ephemeral stream sensor design using state loggers","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Ephemeral key; Streamflow; Environmental science; Hydrology (agriculture); Computer science; Drainage basin; Geology; Geography; Cartography; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005842561,0.0003563842,0.0003973026,0.0005160187,0.0002796798,0.0007883249,0.0008447631,0.0003574583,0.002043508],"category_scores_gemma":[0.001061491,0.0003034738,0.0001795424,0.0004217574,0.0002983527,0.001091505,0.0006351126,0.0003141246,0.0004338169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002221,"about_ca_system_score_gemma":0.0007394229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467248,"about_ca_topic_score_gemma":0.004439816,"domain_scores_codex":[0.9996081,0.00007946497,0.00003457311,0.0001414637,0.0001061658,0.00003029073],"domain_scores_gemma":[0.9993493,0.0001254228,0.0001223345,0.000119412,0.0002473592,0.00003621129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007273233,0.0004236316,0.0216802,0.0002910817,0.0001527561,0.0002355588,0.0002839613,0.1615981,0.155479,0.009611368,0.00514724,0.6443698],"study_design_scores_gemma":[0.0000846948,0.0004129618,0.00919111,0.00002772562,0.00006065531,0.0002033762,0.00009040494,0.8419616,0.1261288,0.004817371,0.01694638,0.00007500216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08699772,0.0001392726,0.9063843,0.0001542772,0.00008419602,0.0002550849,0.0005264347,0.002474284,0.002984423],"genre_scores_gemma":[0.5636097,0.0002008831,0.4305983,0.00009035095,0.00003272298,0.0003150432,0.0004169729,0.00009901085,0.004636999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002043508,"threshold_uncertainty_score":0.006836236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03389126016949247,"score_gpt":0.2560804043412394,"score_spread":0.222189144171747,"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."}}