{"id":"W3046109644","doi":"10.1029/2020jg005799","title":"Integrating Perspectives to Understand Lake Ice Dynamics in a Changing World","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development; York University","funders":"Deutsche Stiftung Friedensforschung; National Science Foundation","keywords":"Limnology; Cryosphere; Temporal scales; Lake ecosystem; Environmental science; Physical geography; Ecosystem; Sea ice; Ecology; Climatology; Oceanography; Geography; Geology","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":[0.001850325,0.00011762,0.000257268,0.001130178,0.0002923567,0.0001815591,0.000628566,0.000031942,0.0002225924],"category_scores_gemma":[0.001315715,0.00008232004,0.00009213141,0.006060579,0.0004218493,0.0004850032,0.00007216065,0.0007223167,0.00004905714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006321824,"about_ca_system_score_gemma":0.0002893303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268512,"about_ca_topic_score_gemma":0.02344058,"domain_scores_codex":[0.9973747,0.0002005669,0.0003326886,0.0002673717,0.001176094,0.0006485712],"domain_scores_gemma":[0.9983175,0.0007754602,0.000114213,0.0000808949,0.000259731,0.0004522031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005516072,0.0001964959,0.8475894,0.00006628621,0.00003864737,0.0003662918,0.04622291,0.0004042038,0.0002749573,0.03247487,0.0003939655,0.07142036],"study_design_scores_gemma":[0.0005195593,0.002651481,0.2573896,0.0003047987,0.00001188329,0.0000316479,0.4734657,0.2529428,0.00004028895,0.009951499,0.002323,0.0003677423],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735543,0.00009199435,0.002562817,0.01744307,0.0001444967,0.0001481359,0.00003607119,0.000008974348,0.006010148],"genre_scores_gemma":[0.9966748,0.00005069975,0.002349207,0.0003681264,0.000331665,2.335036e-7,0.000002586954,0.000003004229,0.0002197162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5901998,"threshold_uncertainty_score":0.9943791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04906024362501465,"score_gpt":0.3126180218511783,"score_spread":0.2635577782261636,"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."}}