{"id":"W1615868986","doi":"10.1002/grl.50214","title":"Irreversible mass loss of Canadian Arctic Archipelago glaciers","year":2013,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme; Chinese Academy of Agricultural Sciences; National Collegiate Athletic Association","keywords":"Meltwater; Glacier; Glacier mass balance; Snow; Arctic; Glacier ice accumulation; Climatology; Tundra; Environmental science; Cryosphere; Geology; Archipelago; Atmospheric sciences; Physical geography; Ice stream; Sea ice; Geomorphology; Oceanography; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002411326,0.00009658495,0.0001540307,0.0002122606,0.0003088455,0.00005725073,0.0003415189,0.00003216661,0.0026433],"category_scores_gemma":[0.0002049834,0.00008137243,0.00007774786,0.00136466,0.0004656613,0.0001780312,0.0000225739,0.0003171873,0.001557078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002506153,"about_ca_system_score_gemma":0.0001368395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8442484,"about_ca_topic_score_gemma":0.2000985,"domain_scores_codex":[0.9981583,0.0001033788,0.0001506101,0.0002337744,0.000571607,0.000782373],"domain_scores_gemma":[0.9986675,0.0004863197,0.0000263098,0.0002443432,0.0001671812,0.0004083024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003535667,0.00004455806,0.8918182,0.0001108008,0.0001244102,0.00006030534,0.001342303,0.001237032,0.00473101,0.001387079,0.07297734,0.0261316],"study_design_scores_gemma":[0.000123434,0.00006929055,0.9834772,0.00001368837,0.000004012538,6.614189e-7,0.0006144014,0.001199949,0.0000530088,0.002790787,0.01154926,0.000104245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821957,0.00006983416,0.00002374779,0.014834,0.0001298236,0.0002501377,0.00003422271,0.0000108602,0.002451651],"genre_scores_gemma":[0.9977472,0.00004909891,0.0007293303,0.0009520081,0.0001283864,0.000004967883,0.00003038016,0.000003744958,0.0003549059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.64415,"threshold_uncertainty_score":0.9992203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008988299010842,"score_gpt":0.2558708641065147,"score_spread":0.2157809811164063,"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."}}