{"id":"W2052610076","doi":"10.3189/172756504781829819","title":"Revisiting bulk heat transfer on Peyto Glacier, Alberta, Canada, in light of the OG parameterization","year":2004,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Glacier; Geology; Sensible heat; Stability (learning theory); Parameterized complexity; Katabatic wind; Heat transfer; Potential temperature; Logarithm; Heat flux; Turbulence; Meteorology; Atmospheric sciences; Environmental science; Thermodynamics; Geomorphology; Mathematics; Physics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001774177,0.00006633144,0.000199879,0.00002311686,0.00007106244,0.000004624425,0.0001307265,0.00003997629,0.0001522795],"category_scores_gemma":[0.0001424992,0.00004006722,0.00005838015,0.0001767814,0.00003781036,0.00004913748,0.000003908842,0.000143652,0.000001455656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002147297,"about_ca_system_score_gemma":0.0001761197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2483898,"about_ca_topic_score_gemma":0.6580688,"domain_scores_codex":[0.9992357,0.00006535002,0.0003621088,0.00006895129,0.0001328915,0.0001350202],"domain_scores_gemma":[0.9995683,0.0002059743,0.00006518802,0.00007587507,0.00005086633,0.0000337883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001542259,0.00003026072,0.8620231,0.00002738198,0.00004836095,0.00002346235,0.001111829,0.1302884,0.0007387832,0.0006604053,0.0002498642,0.004643932],"study_design_scores_gemma":[0.0004198569,0.000189128,0.9851942,0.00006899008,0.000013106,0.0000348604,0.000235008,0.0001991685,0.0002413213,0.0002042648,0.01314439,0.0000557111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925733,0.0004577047,0.00007782595,0.005805322,0.000424768,0.00006371411,0.000005894539,7.826518e-7,0.000590709],"genre_scores_gemma":[0.9990335,0.00009585515,0.00008768251,0.0006285067,0.0001002905,2.651535e-7,0.000002220411,0.000001484789,0.00005026027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.409679,"threshold_uncertainty_score":0.7566152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012132172921142,"score_gpt":0.2019677011487025,"score_spread":0.1898355282275605,"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."}}