{"id":"W6983649171","doi":"","title":"National Scale Frameworks HYDROLOGY Version 6.0 A practical guide to the datasets","year":2009,"lang":"en","type":"report","venue":"Mspace (University of Manitoba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Scale (ratio); Set (abstract data type); Data set; Base (topology); Hydrology (agriculture); Reference data; Baseline (sea)","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":[0.002947014,0.001166489,0.001211048,0.005398875,0.001575358,0.003621238,0.003717155,0.0006691358,0.0556762],"category_scores_gemma":[0.01009119,0.001685469,0.0009846945,0.01681252,0.000508501,0.002348507,0.001607213,0.002341893,0.05679965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006434181,"about_ca_system_score_gemma":0.0243212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7583075,"about_ca_topic_score_gemma":0.8018293,"domain_scores_codex":[0.9982746,0.0001703055,0.0001833456,0.0001711258,0.0009771588,0.0002234674],"domain_scores_gemma":[0.9934145,0.0004990225,0.0001878221,0.001184949,0.004376319,0.0003372399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001809843,0.00001471261,0.001073063,0.0001109325,0.00001203311,0.00001998114,0.00007095755,0.001330676,0.0001279995,0.003071201,0.9808734,0.01327691],"study_design_scores_gemma":[0.00003815836,0.000003160552,0.003495049,0.0001329602,0.000008219501,0.00003513443,0.00008073188,0.001222175,0.0003172907,0.002524247,0.992103,0.00003982676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004205533,0.0001592684,0.006322332,0.0002542072,0.0000792323,0.000218883,0.9734428,0.005178873,0.01392396],"genre_scores_gemma":[0.001927234,0.0003992817,0.02711381,0.0001152649,0.00002888376,0.0005809774,0.9570396,0.003315202,0.009479766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2416925,"threshold_uncertainty_score":0.4862318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865574162757671,"score_gpt":0.2973099449943197,"score_spread":0.2686542033667429,"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."}}