{"id":"W2784252378","doi":"10.1002/2017gl076333","title":"Causes of Glacier Melt Extremes in the Alps Since 1949","year":2018,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Institut national des sciences de l'Univers; Center for Neuroscience and Regenerative Medicine; Agence Nationale de la Recherche","keywords":"Glacier; Latent heat; Climatology; Snow; Energy balance; Environmental science; Sensible heat; Heat wave; Glacier mass balance; Term (time); Atmospheric sciences; Geology; Climate change; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005223825,0.00006996546,0.000114968,0.00003481421,0.0002323202,0.00003834426,0.0003685062,0.00001999241,0.0003335033],"category_scores_gemma":[0.0002625933,0.00004278512,0.00004403736,0.0007591208,0.0007144766,0.0001029518,0.0000322524,0.0002063537,0.0002246228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005034341,"about_ca_system_score_gemma":0.00003110129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221687,"about_ca_topic_score_gemma":0.008167597,"domain_scores_codex":[0.9984362,0.0001862904,0.0001367559,0.0001821275,0.0006513766,0.0004072184],"domain_scores_gemma":[0.9987535,0.0008518318,0.00002423927,0.0002357526,0.00008872082,0.00004598026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002148353,0.0002471825,0.7988347,0.00006596246,0.00008138685,0.00007981156,0.0073108,0.000161677,0.01106445,0.003607197,0.1197574,0.05857458],"study_design_scores_gemma":[0.00009876034,0.0001161777,0.9717722,0.00001150631,0.000002370574,4.681489e-7,0.0006960892,0.0005341126,0.0001640459,0.0005001483,0.02604805,0.0000560669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847817,0.0001458961,0.00001931326,0.01354091,0.00008082116,0.0001376513,0.00001444893,0.000006586399,0.001272662],"genre_scores_gemma":[0.9979025,0.00003946113,0.0001464487,0.001437531,0.0002995383,0.000003485931,0.000007694309,0.000001877678,0.0001615361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1729375,"threshold_uncertainty_score":0.9943609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07918354527363504,"score_gpt":0.3183546582223847,"score_spread":0.2391711129487497,"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."}}