{"id":"W3195808224","doi":"10.1029/2021gl094130","title":"Polar Amplification in Idealized Climates: The Role of Ice, Moisture, and Seasons","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canada Research Chairs; Compute Canada; National Science Foundation","keywords":"Environmental science; Ice-albedo feedback; Sea ice; Climatology; Albedo (alchemy); Atmospheric sciences; Sea ice thickness; Latent heat; Polar; Moisture; Cryosphere; Geology; Meteorology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007615197,0.00006591531,0.0001165516,0.00002479713,0.0001162738,0.00003694365,0.000189298,0.00003553775,0.0001186125],"category_scores_gemma":[0.0003964667,0.00004984601,0.0000378594,0.0004597312,0.0004826352,0.0001043033,0.0003204822,0.0002853688,0.00007244608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007300049,"about_ca_system_score_gemma":0.00001634763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003230143,"about_ca_topic_score_gemma":0.000404897,"domain_scores_codex":[0.9984357,0.0003493374,0.0001266689,0.0002808433,0.0004765902,0.0003308564],"domain_scores_gemma":[0.9988217,0.0007235096,0.00002445156,0.0003367281,0.0000195343,0.00007412007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004364477,0.0001959768,0.05793785,0.00002313427,0.000007625716,0.000006033828,0.0008170193,0.0002828,0.9294133,0.008594744,0.0006325809,0.002045334],"study_design_scores_gemma":[0.0006292221,0.00005859682,0.9110532,0.00004287882,0.00001169674,0.00000261402,0.001276654,0.009198315,0.01645689,0.04474998,0.01631776,0.0002022025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893544,0.00006691523,0.00004698928,0.008548532,0.00001057226,0.0001793785,0.00001665549,0.000007231558,0.001769381],"genre_scores_gemma":[0.9992304,0.00006057253,0.0001789601,0.0004232878,0.00001969581,0.00002989943,0.00001247177,0.000006138672,0.00003854862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9129564,"threshold_uncertainty_score":0.4883031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016254274186945,"score_gpt":0.3094626139077827,"score_spread":0.2793000711659133,"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."}}