{"id":"W7095245030","doi":"","title":"Water News, Fall, 2006 Proxy Streamflow Records for Water Planning In Western Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Streamflow; Flood myth; Water supply; Flood forecasting; Water resources; Hydrology (agriculture); Proxy (statistics)","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":[0.0004863243,0.0002761953,0.0002143334,0.002153117,0.001798027,0.002096499,0.0006093218,0.000290879,0.01034996],"category_scores_gemma":[0.002188546,0.0002692354,0.0001234864,0.00566318,0.0003163319,0.0006112826,0.0004794147,0.0004965,0.001811869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02163423,"about_ca_system_score_gemma":0.05520512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965051,"about_ca_topic_score_gemma":0.9989939,"domain_scores_codex":[0.9994678,0.00001411145,0.0000402122,0.00004043655,0.0003505326,0.00008690517],"domain_scores_gemma":[0.9962793,0.00009954936,0.0001781539,0.00009258717,0.002921969,0.000428471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000142771,0.00006829965,0.1140388,0.0002969865,0.00003962853,0.0001592403,0.0006504442,0.001268993,0.0005724687,0.001559397,0.7938375,0.08736541],"study_design_scores_gemma":[0.00003578095,0.00001807577,0.4990373,0.0002309982,0.00003858865,0.00005298471,0.001564601,0.002933943,0.0009585352,0.0003860162,0.4947041,0.0000390974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1329319,0.004910212,0.001556816,0.01268396,0.0006418908,0.0002867804,0.7370392,0.001054356,0.1088949],"genre_scores_gemma":[0.3531398,0.007284188,0.007182979,0.001549101,0.0001459033,0.0001562751,0.3735499,0.000406045,0.2565859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02163423,"threshold_uncertainty_score":0.1569681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763913870536757,"score_gpt":0.2263740801308936,"score_spread":0.2087349414255261,"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."}}