{"id":"W2157398194","doi":"10.1029/2009gl040948","title":"Surface‐melt driven Laurentide Ice Sheet retreat during the early Holocene","year":2009,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Wisconsin-Madison; Goddard Institute for Space Studies; National Science Foundation","keywords":"Ice sheet; Greenland ice sheet; Geology; Holocene; Ice-sheet model; Ice stream; Climatology; Glacier mass balance; Insolation; Cryosphere; Oceanography; Glacier; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002943948,0.0001352403,0.0001606653,0.00002580902,0.0008924174,0.0001685527,0.0004657599,0.00003675308,0.000442179],"category_scores_gemma":[0.0001306861,0.00008825581,0.00009787616,0.0007327046,0.0002648814,0.0001877411,0.00004473534,0.0005011309,0.0006544859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001627951,"about_ca_system_score_gemma":0.0000219877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005529162,"about_ca_topic_score_gemma":0.0004567091,"domain_scores_codex":[0.9977535,0.0001713242,0.0001564003,0.0003355579,0.0008241704,0.0007590431],"domain_scores_gemma":[0.9988775,0.0004902866,0.00003080644,0.0003658145,0.00008355934,0.0001520554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003397804,0.0001875002,0.8422198,0.00003917077,0.0001672672,0.0002915866,0.002198355,0.01049849,0.01455463,0.0005081557,0.09764912,0.03134614],"study_design_scores_gemma":[0.0001856325,0.0001174444,0.9951615,0.00001146984,0.000005704879,0.000001297352,0.000121081,0.001037018,0.000139338,0.0002494687,0.002856287,0.0001137871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763534,0.0001798927,0.000009084672,0.02200567,0.0001024522,0.0002067466,0.00002613406,0.00004589719,0.001070708],"genre_scores_gemma":[0.9972488,0.00008994572,0.0001607201,0.001252122,0.0003937372,0.000001697217,0.00002259339,0.00000417076,0.0008261845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1529417,"threshold_uncertainty_score":0.8412311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298157140233405,"score_gpt":0.274413121470087,"score_spread":0.2414315500677529,"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."}}