{"id":"W4406253553","doi":"10.5194/tc-19-83-2025","title":"Updated Arctic melt pond fraction dataset and trends 2002–2023 using ENVISAT and Sentinel-3 remote sensing data","year":2025,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; Deutsche Forschungsgemeinschaft","keywords":"Arctic; Fraction (chemistry); Remote sensing; Environmental science; The arctic; Geology; Oceanography; Chemistry","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":[],"category_scores_codex":[0.0003830561,0.0001923922,0.0002013502,0.00004570371,0.0005271437,0.0001683036,0.0002386718,0.00009286266,0.001166136],"category_scores_gemma":[0.00003222798,0.0001463274,0.00002097307,0.0003603367,0.0002011399,0.0003905012,0.0001470604,0.0002737894,0.00003819856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009570881,"about_ca_system_score_gemma":0.00004260716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431882,"about_ca_topic_score_gemma":0.00844429,"domain_scores_codex":[0.9986998,0.0001083346,0.0002331864,0.0004582015,0.000183476,0.0003170464],"domain_scores_gemma":[0.9989809,0.0001896597,0.0001055803,0.0006084862,0.000023678,0.00009173943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001738466,0.00002106212,0.06687406,0.0001467821,0.0002597287,0.00009806451,0.0002326669,0.001453232,0.0001201379,0.00002873595,0.04140154,0.8891901],"study_design_scores_gemma":[0.000349019,0.00001675803,0.08462689,0.00007070273,0.0002065016,0.0001592801,0.0006243331,0.8494266,0.000002730177,0.0005161375,0.06378005,0.0002210024],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780511,0.001545054,0.01003966,0.002628514,0.0007730881,0.0002611543,0.003175538,0.00008783496,0.003438097],"genre_scores_gemma":[0.9875896,0.0002282038,0.003542428,0.001099205,0.0001249723,3.477209e-8,0.00546206,0.000007741519,0.00194578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8889691,"threshold_uncertainty_score":0.9997469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155083815190701,"score_gpt":0.2557415590499886,"score_spread":0.2341907208980816,"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."}}