{"id":"W3022599992","doi":"","title":"Changing lake ice cover across Canada: towards refining lake ice simulations by resolving lake size.","year":2019,"lang":"en","type":"article","venue":"AGUFM","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cryosphere; Shelf ice; Environmental science; Refining (metallurgy); Arctic ice pack; Physical geography; Climatology; Sea ice; Geology; Cover (algebra); Oceanography; Antarctic sea ice; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006297171,0.0004479484,0.000349343,0.0004143961,0.001180312,0.001197048,0.001241638,0.0008289156,0.001763104],"category_scores_gemma":[0.00253414,0.0003223166,0.0005503944,0.001087846,0.000347359,0.0007790446,0.0005606076,0.0007391971,0.0002119644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007201577,"about_ca_system_score_gemma":0.01396581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9765436,"about_ca_topic_score_gemma":0.9779763,"domain_scores_codex":[0.9998406,0.00003851913,0.000007122768,0.00003699089,0.00003665017,0.0000400784],"domain_scores_gemma":[0.9995164,0.00007127025,0.00003299155,0.00003514519,0.0002441208,0.0001000974],"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":[0.0002766896,0.0001600105,0.1834938,0.0001714507,0.0006481727,0.0001079219,0.0002778393,0.770454,0.002450323,0.002741005,0.01178829,0.02743055],"study_design_scores_gemma":[0.000142189,0.00002363001,0.07663716,0.0000572473,0.0001264028,0.00001571989,0.0002868355,0.9127859,0.001169457,0.0009308362,0.00777807,0.00004652109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678733,0.0007218257,0.007685975,0.001636029,0.00009808597,0.00005476442,0.01360754,0.0008290133,0.007493584],"genre_scores_gemma":[0.985992,0.0002302368,0.007601366,0.0001479309,0.00001360567,0.00002366929,0.00435823,0.0001462143,0.001486625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02345639,"threshold_uncertainty_score":0.0522514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008709678798536886,"score_gpt":0.2162630208828061,"score_spread":0.2075533420842692,"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."}}