{"id":"W4242517025","doi":"10.5194/tc-2017-160-rc2","title":"Interactive comment on “Characterization of Canadian High Arctic glacier surface albedo from MODIS C6 data, 2001–2016” by Colleen A. Mortimer and Martin Sharp","year":2017,"lang":"en","type":"peer-review","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Glacier; Arctic; Albedo (alchemy); Characterization (materials science); Climatology; Physical geography; Meteorology; Environmental science; Geography; Remote sensing; Geology; Oceanography; Art history; Art; Physics; Optics; Performance art","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":[0.003734469,0.0006462474,0.0009408241,0.001524061,0.003793288,0.004118213,0.002060181,0.00527772,0.2596968],"category_scores_gemma":[0.04022283,0.0004907542,0.0009939503,0.003396493,0.001539143,0.002964896,0.002124083,0.003878521,0.07418206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006935915,"about_ca_system_score_gemma":0.01090462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3222212,"about_ca_topic_score_gemma":0.4164452,"domain_scores_codex":[0.9968336,0.0002592399,0.000158297,0.0002578788,0.002051518,0.0004394227],"domain_scores_gemma":[0.9722569,0.004747753,0.0005759489,0.001452044,0.02011686,0.0008505111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000982698,0.000001900014,0.00007424784,0.00002575213,0.000001829506,0.00002217317,0.00002804628,0.00002785712,0.0000299282,0.000427023,0.9985587,0.0007927121],"study_design_scores_gemma":[0.000020819,0.00000349076,0.001529202,0.00007070146,0.00000417039,0.00001245704,0.0001366307,0.00009312917,0.000228696,0.000587697,0.997294,0.00001893487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002280392,0.001661578,0.002747982,0.3936091,0.1611424,0.0007366682,0.1372268,0.003396525,0.2971986],"genre_scores_gemma":[0.02350371,0.001998165,0.002812303,0.07457758,0.02170027,0.0004969251,0.02224053,0.003856217,0.8488142],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6777787,"threshold_uncertainty_score":0.8687721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08474168652871047,"score_gpt":0.2946329158955579,"score_spread":0.2098912293668474,"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."}}