{"id":"W4281793258","doi":"10.5194/tc-16-2183-2022","title":"GABLS4 intercomparison of snow models at Dome C in Antarctica","year":2022,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Snow; Snowpack; Sensible heat; Plateau (mathematics); Latent heat; Environmental science; Atmospheric sciences; Precipitation; Climatology; Numerical weather prediction; Energy balance; Meteorology; Geology; Geography; Thermodynamics; Physics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002549622,0.0001185759,0.0002215323,0.00001216115,0.000374162,0.00001568497,0.0003695569,0.00002558621,0.01437059],"category_scores_gemma":[0.000009990556,0.00008887854,0.00007871719,0.0004591582,0.0000916587,0.00009358861,0.0001340542,0.0002104614,0.00004706177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002848916,"about_ca_system_score_gemma":0.00003315079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01568184,"about_ca_topic_score_gemma":0.0845162,"domain_scores_codex":[0.9988268,0.00009133492,0.0002967054,0.0002143351,0.0002944003,0.0002764175],"domain_scores_gemma":[0.9993035,0.0002480026,0.0001009028,0.0002763485,0.00002487329,0.00004634224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00012704,0.00006888243,0.7560339,0.00001827698,0.00003726764,0.00001117313,0.002665352,0.2132134,0.00001073611,0.000272279,0.01267722,0.01486445],"study_design_scores_gemma":[0.0004906307,0.0002080687,0.7676806,0.0000162455,0.00002260857,0.00001660226,0.005451289,0.1412454,0.000009242055,0.002613422,0.08202995,0.0002158988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888603,0.002543684,0.0002124934,0.0006883975,0.0004135198,0.000234588,0.00009787945,0.00002466836,0.006924432],"genre_scores_gemma":[0.9974903,0.00009533509,0.0003243433,0.0003293244,0.00003964442,0.00001005757,0.00003968824,0.000004809327,0.001666495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07196803,"threshold_uncertainty_score":0.9908728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723249519621708,"score_gpt":0.219397077246398,"score_spread":0.1921645820501809,"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."}}