{"id":"W2105726916","doi":"10.5194/tc-7-1949-2013","title":"A glacial systems model configured for large ensemble analysis of Antarctic deglaciation","year":2013,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Ice-sheet model; Deglaciation; Ice shelf; Ice sheet; Climatology; Ice stream; Iceberg; Forcing (mathematics); Parametric statistics; Sea ice; Meteorology; Glacial period; Geomorphology; Cryosphere","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003760466,0.0006382345,0.0005151274,0.0004288804,0.0008032814,0.001146842,0.001502557,0.0008356865,0.01101554],"category_scores_gemma":[0.0009969771,0.0005065842,0.0008916746,0.0006683688,0.0003807333,0.0006759421,0.0008812554,0.001191378,0.00203613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012801,"about_ca_system_score_gemma":0.002672496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1293244,"about_ca_topic_score_gemma":0.1568651,"domain_scores_codex":[0.9998716,0.00003472794,0.00001038879,0.00003665973,0.00002611487,0.00002051997],"domain_scores_gemma":[0.999741,0.00008066338,0.00002125392,0.00005034218,0.00006964117,0.00003713944],"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":[0.0001152417,0.00004929264,0.004611432,0.00004775161,0.0001341011,0.00007924833,0.00008750584,0.9673738,0.001138374,0.006608454,0.009834087,0.009920763],"study_design_scores_gemma":[0.00003517339,0.00001415541,0.0009881723,0.000006601431,0.00002678497,0.000009972846,0.00001510482,0.9882597,0.0002927348,0.001702964,0.008635139,0.00001351857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3551789,0.0007683017,0.4509512,0.001743082,0.0007805317,0.0006610412,0.06541839,0.03959808,0.08490045],"genre_scores_gemma":[0.7807364,0.0005318798,0.160145,0.0003904106,0.0001372839,0.001061634,0.03086164,0.00193578,0.02419996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1293244,"threshold_uncertainty_score":0.2571434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049783141305482,"score_gpt":0.2256674137762795,"score_spread":0.2051695823632246,"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."}}