{"id":"W7100123775","doi":"","title":"Edmonton SNOW ACCUMULATION AS INFLUENCED BY TOPOGRAPHY, &amp;amp;~D ITS 1 CORRELATION WITH ANNUAL M&amp;quot;D SEASONAL STREAMFLOW ON MAR...&amp;apos;1OT BASIN,","year":2016,"lang":"en","type":"article","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Streamflow; Snow; Snowmelt; Correlation; Correlation coefficient; Snow cover","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":[0.000131226,0.0001404046,0.00007171753,0.0003507289,0.0002173149,0.0004148026,0.0001760345,0.0001118247,0.005898364],"category_scores_gemma":[0.0004353283,0.000100307,0.00011642,0.0003352312,0.0001587567,0.0001574438,0.0002406241,0.0001728993,0.0004809998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016696,"about_ca_system_score_gemma":0.001107167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4867671,"about_ca_topic_score_gemma":0.8161572,"domain_scores_codex":[0.9999717,0.000003951243,8.346624e-7,0.000008224251,0.000006605675,0.000008658767],"domain_scores_gemma":[0.9998529,0.00003151987,0.00002242047,0.00001418857,0.00004085772,0.00003808061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004438259,0.00005899372,0.9003692,0.0000369816,0.0001186215,0.0003704485,0.0004155162,0.007844861,0.00262615,0.003264278,0.03770151,0.04674967],"study_design_scores_gemma":[0.000009540892,0.000009302898,0.9853189,0.00001954686,0.0000131407,0.00003057951,0.0001185221,0.00328236,0.000343546,0.0003380829,0.01051177,0.000004702804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810567,0.0005688627,0.0002171247,0.0008312667,0.00007706955,0.000002667121,0.002641224,0.0000444185,0.01456048],"genre_scores_gemma":[0.9712788,0.0004024633,0.0003922103,0.00008233439,0.00003363381,0.000004325421,0.002801089,0.0000274613,0.02497767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5132328,"threshold_uncertainty_score":0.9678677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06253181674691669,"score_gpt":0.2980680536499597,"score_spread":0.235536236903043,"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."}}