{"id":"W1576918191","doi":"10.1002/wrcr.20154","title":"Spatial scale of land‐use impacts on riverine drinking source water quality","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Watershed; Environmental science; Land use; Water quality; Scale (ratio); Water resource management; Hydrology (agriculture); Geography; Ecology; Cartography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002099959,0.0001733472,0.0002397423,0.0001338635,0.0003035364,0.0001934584,0.000471362,0.0001048197,0.0102354],"category_scores_gemma":[0.00003976082,0.00009751137,0.00008935817,0.0001327462,0.0005224357,0.0003112002,0.0008694557,0.0003984949,0.005434544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750482,"about_ca_system_score_gemma":0.000004655964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06875791,"about_ca_topic_score_gemma":0.001213088,"domain_scores_codex":[0.9959342,0.0009607504,0.0004176558,0.0004128812,0.00137307,0.000901386],"domain_scores_gemma":[0.9989701,0.0001238332,0.00004652386,0.0005557323,0.00004434618,0.0002594697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002741332,0.0004600818,0.5567026,0.0000804499,0.00003986449,0.000008433715,0.03217025,0.00184526,0.399,0.00001633767,0.001755514,0.007647131],"study_design_scores_gemma":[0.0006081323,0.0002985956,0.4331809,0.00003957082,0.000003873304,0.000002848054,0.0002313117,0.0003692505,0.4735561,0.0004474601,0.09102262,0.0002393245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941088,0.000002851921,0.0001155357,0.001592222,0.00004494654,0.0003981219,0.000008125599,0.00004045755,0.003688968],"genre_scores_gemma":[0.9918803,0.000005628682,0.0001328771,0.0001582968,0.00008404672,0.00003515425,0.00002440461,0.00002148996,0.007657786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235217,"threshold_uncertainty_score":0.9953398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07655233271272759,"score_gpt":0.3529504938468047,"score_spread":0.2763981611340771,"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."}}