{"id":"W906207414","doi":"","title":"Changes in deconvoluted baseflow rates in Canada","year":2009,"lang":"en","type":"article","venue":"Cambridge University Engineering Department Publications Database","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Baseflow; Statistics; Environmental science; Econometrics; Mathematics; Geography; Streamflow; Cartography","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":[0.0005369449,0.0004387017,0.000600605,0.00447716,0.000809406,0.001597651,0.001369642,0.0003429475,0.003388997],"category_scores_gemma":[0.003216,0.0003105409,0.0004972924,0.0154999,0.0003316221,0.0004263198,0.0005101993,0.0004198798,0.001106936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01788091,"about_ca_system_score_gemma":0.02470367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947909,"about_ca_topic_score_gemma":0.9943639,"domain_scores_codex":[0.9992248,0.00002886887,0.00007079282,0.0001182413,0.00038932,0.0001680445],"domain_scores_gemma":[0.9949896,0.0003187721,0.0002990888,0.0002110821,0.003966606,0.0002148347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001652875,0.0001891762,0.688848,0.0005716553,0.0005347205,0.0004081929,0.001275933,0.02489523,0.002402293,0.002754657,0.1307144,0.1457528],"study_design_scores_gemma":[0.00005500965,0.00002054663,0.9443576,0.00007174693,0.00009562768,0.00007231558,0.0006018074,0.01131594,0.002042873,0.0001745015,0.04112896,0.0000629559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4868223,0.0006147355,0.001074024,0.000288087,0.000030921,0.00004458117,0.5037974,0.0009565523,0.006371347],"genre_scores_gemma":[0.5903808,0.001047618,0.002389187,0.00008319352,0.0000126572,0.00005921264,0.3957576,0.0001707821,0.01009893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01788091,"threshold_uncertainty_score":0.1297357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007833228615551332,"score_gpt":0.1803965426842113,"score_spread":0.17256331406866,"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."}}