{"id":"W4321479676","doi":"10.1029/2022gl101493","title":"Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature","year":2023,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Snow; Melt pond; Sea ice; Climatology; Arctic; Environmental science; Atmospheric sciences; Snowmelt; Geology; Arctic ice pack; Sea surface temperature; Oceanography; Antarctic sea ice; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758763,0.0001615218,0.0002360183,0.0003350498,0.0002078877,0.0003559686,0.00009400577,0.0001214851,0.001095001],"category_scores_gemma":[0.0004898606,0.0001005404,0.0002017682,0.000267895,0.0001147845,0.0002347279,0.0002197015,0.0001273482,0.0002109202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175195,"about_ca_system_score_gemma":0.0002278188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005197641,"about_ca_topic_score_gemma":0.008984299,"domain_scores_codex":[0.9999374,0.00000916828,0.00000449766,0.00001861079,0.00001012498,0.00002019431],"domain_scores_gemma":[0.9997854,0.00005169016,0.00005948099,0.00002324591,0.0000409369,0.00003932222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001214582,0.00009399721,0.794678,0.00008676962,0.00006885659,0.0001331183,0.0002163952,0.0168999,0.115073,0.0001780728,0.001154048,0.07020331],"study_design_scores_gemma":[0.00001165759,0.00009797817,0.927323,0.000007101833,0.0000199993,0.00005188566,0.00007803496,0.05745625,0.01423644,0.0001561485,0.0005539862,0.000007456377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969925,0.00004767881,0.002045616,0.00001196347,0.000005618512,0.000004687151,0.0002043316,0.0001170626,0.0005705543],"genre_scores_gemma":[0.9991416,0.00001319085,0.0004565623,0.000002233993,0.000002298133,0.000002795933,0.0002403875,0.000006633256,0.0001342965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005197641,"threshold_uncertainty_score":0.01033479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02922000551559385,"score_gpt":0.2865981198203272,"score_spread":0.2573781143047333,"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."}}