{"id":"W3017000531","doi":"10.5194/tc-14-3249-2020","title":"Seasonal and interannual variability of melt-season albedo at Haig Glacier, Canadian Rocky Mountains","year":2020,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Calgary","keywords":"Albedo (alchemy); Snowpack; Snow; Glacier; Environmental science; Climatology; Precipitation; Ice-albedo feedback; Atmospheric sciences; Glacier mass balance; Snowmelt; Cryosphere; Geology; Physical geography; Meteorology; Antarctic sea ice; Geography; Sea ice; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003003064,0.0003978532,0.000244966,0.001413174,0.001631328,0.0008712661,0.0006538013,0.0002135047,0.001185536],"category_scores_gemma":[0.0006023123,0.0001592435,0.0002958144,0.00134313,0.0003505816,0.0002225025,0.0003202192,0.0002876828,0.0001739192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01215004,"about_ca_system_score_gemma":0.008726357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915662,"about_ca_topic_score_gemma":0.9968818,"domain_scores_codex":[0.9997045,0.000008590235,0.000007292523,0.00005601131,0.0001305474,0.00009312201],"domain_scores_gemma":[0.9991814,0.00002644301,0.00006602137,0.00002234221,0.0005760225,0.0001277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001712831,0.00004397864,0.9679887,0.00005866932,0.0002172647,0.0001335104,0.0007668253,0.003086727,0.006103531,0.0001616931,0.00566413,0.01560391],"study_design_scores_gemma":[0.000003268341,0.000003612324,0.9977589,0.000005073941,0.00001052161,0.000008714212,0.0001272111,0.0008428534,0.0001749957,0.000005625529,0.001052894,0.000006335837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892855,0.0004439011,0.0002067035,0.0001182983,0.00001650521,0.00002498082,0.005920239,0.0001011924,0.003882672],"genre_scores_gemma":[0.9947348,0.0001630107,0.0003005601,0.00002985838,0.000004998561,0.0000101462,0.003784731,0.00001239178,0.0009595347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215004,"threshold_uncertainty_score":0.08815509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377299835992703,"score_gpt":0.1970767063955343,"score_spread":0.1833037080356072,"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."}}