{"id":"W1955552469","doi":"10.1029/2003wr002667","title":"Wavelet analysis of variability in annual Canadian streamflows","year":2004,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":252,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Northern Hemisphere; Climatology; Streamflow; Environmental science; North Atlantic oscillation; Wavelet; Precipitation; Drainage basin; Geology; Geography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006128257,0.00009949447,0.0002454987,0.000577734,0.000121868,0.00002767145,0.0004394637,0.0001113284,0.003916951],"category_scores_gemma":[0.000208722,0.00007453959,0.00008582868,0.00154013,0.0004354979,0.0001282324,0.0003204192,0.0002981698,0.000159579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007812579,"about_ca_system_score_gemma":0.00003945437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7155087,"about_ca_topic_score_gemma":0.6889414,"domain_scores_codex":[0.9972861,0.000571028,0.0003105314,0.0004413445,0.0006366589,0.0007543377],"domain_scores_gemma":[0.9989749,0.0001656192,0.00001689017,0.0005436319,0.00003269082,0.0002663091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001143967,0.0006580327,0.6756582,0.00004747515,0.0001725874,0.00006110675,0.05504412,0.2539062,0.009636681,0.0003779375,0.0001016523,0.004221645],"study_design_scores_gemma":[0.001521186,0.0003221296,0.8742,0.00004383938,0.0001493932,0.000003964119,0.002888792,0.03966281,0.01435413,0.01997644,0.04617061,0.0007066721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846138,0.000003015961,0.00003278707,0.0006469733,0.00001085292,0.0002241856,0.0001183067,0.0000084945,0.01434163],"genre_scores_gemma":[0.9994739,0.000004650833,0.0002132674,0.00003062136,0.000009403487,0.00001884941,0.00003380118,0.000007736637,0.0002077774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142434,"threshold_uncertainty_score":0.9969936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289533752204182,"score_gpt":0.3021998789487514,"score_spread":0.2693045414267096,"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."}}