{"id":"W2476382257","doi":"10.1017/jog.2016.80","title":"Glacier surface temperatures in the Canadian High Arctic, 2000–15","year":2016,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Glacier; Glacier mass balance; Climatology; Arctic; Geology; Moderate-resolution imaging spectroradiometer; Physical geography; Atmospheric sciences; Satellite; Environmental science; Geography; Oceanography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005221235,0.00006655451,0.0001478729,0.00003401422,0.0001444697,0.00001978181,0.0002225871,0.00005485582,0.002300908],"category_scores_gemma":[0.0001739924,0.00002900307,0.00004366519,0.0001438943,0.0001053651,0.00008520488,0.000003612544,0.000164146,0.00004801256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002455246,"about_ca_system_score_gemma":0.0002394221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1358654,"about_ca_topic_score_gemma":0.7666941,"domain_scores_codex":[0.9992353,0.0001268138,0.0002227473,0.00007031031,0.0001143922,0.0002304729],"domain_scores_gemma":[0.9992466,0.0004070844,0.00009646556,0.0000893348,0.00008145443,0.0000790376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002069887,0.000004761383,0.9931932,0.000001191325,0.00001487185,0.00005909843,0.0003841818,0.0001620109,0.00001955936,0.0003060444,0.004795693,0.001038694],"study_design_scores_gemma":[0.0002297019,0.0001184759,0.9141897,0.000009107557,0.000006081086,0.0001085569,0.000324949,0.00001020002,0.000001951137,0.001438031,0.08351755,0.00004569349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787815,0.001533772,0.000006895156,0.01857383,0.0005765469,0.00004291598,0.00002432294,0.000001395236,0.0004588144],"genre_scores_gemma":[0.9973169,0.0002683957,0.0002613988,0.001704242,0.0002065735,1.293941e-7,0.000002958042,0.000001213793,0.0002381678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6308286,"threshold_uncertainty_score":0.9986112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642266068135747,"score_gpt":0.2185480369227789,"score_spread":0.2021253762414215,"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."}}