{"id":"W2914735349","doi":"10.4095/313578","title":"Intersections of wildfire, water and land: using groundwater science to reduce risks to water supplies","year":2019,"lang":"en","type":"report","venue":"","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Groundwater; Environmental science; Water resource management; Hydrology (agriculture); Geography; Geology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00209327,0.0003182204,0.0003377295,0.001171104,0.002265488,0.004014499,0.0008189373,0.0006719009,0.002790762],"category_scores_gemma":[0.002824965,0.0001867176,0.0002986276,0.001246821,0.002730101,0.001790112,0.001679108,0.0009742843,0.000257878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009167379,"about_ca_system_score_gemma":0.01856465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3728793,"about_ca_topic_score_gemma":0.7596796,"domain_scores_codex":[0.999074,0.0003353953,0.00002338777,0.00007946501,0.0003183208,0.0001693869],"domain_scores_gemma":[0.999144,0.0002868127,0.0001077952,0.00004895587,0.0002492899,0.0001631883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002389483,0.0002358543,0.06034735,0.0008186887,0.00007986541,0.0003018418,0.007849985,0.0009433664,0.006083847,0.01685445,0.01729147,0.8889543],"study_design_scores_gemma":[0.0001350182,0.001247257,0.1689627,0.00302715,0.0004501109,0.0003837627,0.1072788,0.0055909,0.01900536,0.1171896,0.5765411,0.0001883155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4785689,0.06426558,0.04839556,0.1719031,0.001184369,0.0006342614,0.001169136,0.0009370571,0.232942],"genre_scores_gemma":[0.9203786,0.03201307,0.030406,0.005061582,0.0001293318,0.00006984749,0.0001659635,0.00004500426,0.01173053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3728793,"threshold_uncertainty_score":0.7414178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926553841786704,"score_gpt":0.3097551611064718,"score_spread":0.2604896226886048,"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."}}