{"id":"W6987665430","doi":"","title":"A time series analysis on the prospective relationships between the water level dynamics of Lake Erie and the El Niño/Southern Oscillation phenomenon","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Time series; Water level; Oscillation (cell signaling); Dynamics (music); Phenomenon; Climate change; Trend analysis; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002707377,0.00011629,0.00009363297,0.0007436178,0.000193071,0.0003088079,0.0001843028,0.00008917178,0.002013121],"category_scores_gemma":[0.001039438,0.00004881605,0.0001218501,0.001498698,0.00009736576,0.0001602412,0.0001618302,0.0001487565,0.000199807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004707317,"about_ca_system_score_gemma":0.0005168929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1907607,"about_ca_topic_score_gemma":0.3055277,"domain_scores_codex":[0.9999497,0.00001106511,0.000003808634,0.000008978131,0.0000173583,0.000008989389],"domain_scores_gemma":[0.9996349,0.0001321857,0.00005178721,0.00002074099,0.0001240031,0.00003626713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008007833,0.0001748535,0.9141437,0.00008156547,0.0002580107,0.0006118884,0.000897887,0.004598701,0.006494244,0.001703076,0.005938292,0.06429698],"study_design_scores_gemma":[0.000006426181,0.00003140935,0.9942958,0.000005326257,0.0000333777,0.00002445999,0.000408943,0.003211058,0.0002151245,0.00007355202,0.001690037,0.000004522832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993349,0.00007410777,0.0003652074,0.00009023539,0.000005898587,0.00001341066,0.002612087,0.00001091729,0.003479017],"genre_scores_gemma":[0.9896336,0.0001952045,0.0007371917,0.00001923878,0.00001133491,0.00001803308,0.004685577,0.000007027104,0.004692824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8092393,"threshold_uncertainty_score":0.3793008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005757626626551929,"score_gpt":0.1468333248929297,"score_spread":0.1410756982663777,"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."}}