{"id":"W3167499898","doi":"10.5194/gmd-2021-126","title":"Capturing the Interactions Between Ice Sheets, Sea Level and the Solid Earth on a Range of Timescales: A new \"time window\" algorithm","year":2021,"lang":"en","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Temporal resolution; Algorithm; Sea ice; Range (aeronautics); Geodesy; Ice sheet; Geology; Computer science; Climatology; Physics; Materials science; Oceanography; Optics","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":[0.0007608068,0.0007861314,0.0006804768,0.0005355161,0.0003516373,0.00081435,0.001780835,0.0007332262,0.00226384],"category_scores_gemma":[0.002414449,0.0004819296,0.0007993108,0.0006084545,0.0003944472,0.001654622,0.001482946,0.001169246,0.0003555991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005157462,"about_ca_system_score_gemma":0.001357966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007523843,"about_ca_topic_score_gemma":0.007280708,"domain_scores_codex":[0.9996638,0.00005559755,0.00003207359,0.0001040325,0.0001043277,0.00004026761],"domain_scores_gemma":[0.9993706,0.0003045875,0.00008494174,0.00008030159,0.000105252,0.000054415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002439844,0.0001376359,0.007590537,0.0001178808,0.0002326894,0.0001264179,0.000159932,0.8501851,0.01999387,0.01683962,0.001963307,0.102409],"study_design_scores_gemma":[0.00001338677,0.00001249812,0.0001520249,0.000002437762,0.000008003311,0.00000958591,0.000005106423,0.9970381,0.001004633,0.001176452,0.0005735763,0.000004229129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03959413,0.0001320692,0.9577201,0.00009686063,0.00005042384,0.00004791654,0.0001406071,0.001149056,0.001068898],"genre_scores_gemma":[0.2671505,0.0002020611,0.7299921,0.0001018332,0.00004541761,0.0002194459,0.0005588988,0.0003587401,0.001370899],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007523843,"threshold_uncertainty_score":0.01496011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721881768508092,"score_gpt":0.2372158825222813,"score_spread":0.1999970648372003,"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."}}