{"id":"W3036525332","doi":"10.5194/tc-14-4145-2020","title":"Proglacial icings as records of winter hydrological processes","year":2020,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; University of Northern British Columbia; Environment and Climate Change Canada","funders":"Parks Canada","keywords":"Tributary; Glacier; Subarctic climate; Environmental science; Hydrology (agriculture); Surface runoff; Snow; Watershed; Aquifer; Icing; Groundwater; Geology; Physical geography; Oceanography; Geomorphology; Geography; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009726927,0.000132443,0.0002048359,0.000002880868,0.0001883017,0.00003209454,0.00030706,0.00005991588,0.006521706],"category_scores_gemma":[0.0001252943,0.00007947946,0.00007079084,0.0003987197,0.0001688986,0.00009214591,0.00003399739,0.000146676,0.000294437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002270577,"about_ca_system_score_gemma":0.00006972784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536204,"about_ca_topic_score_gemma":0.007915442,"domain_scores_codex":[0.9990438,0.00003324835,0.0002446882,0.0002343638,0.0002205699,0.0002232898],"domain_scores_gemma":[0.9994376,0.0001510904,0.0001063984,0.0001307465,0.00008472116,0.0000894109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002406544,0.00004264477,0.9404383,0.000115456,0.00007643783,0.00001448418,0.002542501,0.001181002,0.00003123429,0.0001161661,0.01941382,0.03578731],"study_design_scores_gemma":[0.0004742563,0.001185598,0.6611919,0.00003425804,0.00006857239,0.00001188861,0.002142525,0.004563447,0.0001065695,0.001682286,0.3282126,0.0003261381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763619,0.001394673,0.0001788087,0.0054968,0.0002303984,0.0002868858,0.00002733499,0.00007398359,0.01594924],"genre_scores_gemma":[0.9958408,0.00007107604,0.0003917394,0.002640728,0.0003118482,0.000004109299,0.00001383864,0.000004305653,0.0007214982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087988,"threshold_uncertainty_score":0.9943865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534238708061103,"score_gpt":0.2216199821852669,"score_spread":0.1962775951046558,"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."}}