{"id":"W1979718811","doi":"10.1016/j.jglr.2014.06.004","title":"Ice–water heat exchange during ice growth in Lake Baikal","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Russian Academy of Sciences; Leibniz-Gemeinschaft; Siberian Branch, Russian Academy of Sciences","keywords":"Sea ice growth processes; Heat flux; Melt pond; Laminar flow; Geology; Sea ice thickness; Thermal diffusivity; Clear ice; Atmospheric sciences; Sea ice; Mechanics; Heat transfer; Antarctic sea ice; Thermodynamics; Arctic ice pack; Oceanography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002544165,0.0002289577,0.0005134002,0.0005085536,0.001457243,0.0008816133,0.0004553238,0.0005477465,0.001752652],"category_scores_gemma":[0.0005859329,0.0002842975,0.0002987914,0.0005382213,0.0008424276,0.00109918,0.00099522,0.0004615819,0.0002013331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002874647,"about_ca_system_score_gemma":0.001803572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1654549,"about_ca_topic_score_gemma":0.2004476,"domain_scores_codex":[0.9999185,0.00001039276,0.000008106142,0.00002078656,0.00001321723,0.00002905222],"domain_scores_gemma":[0.9998195,0.00004300776,0.00003666761,0.000005410825,0.00004248158,0.00005305697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01010314,0.0002494339,0.7860473,0.000327923,0.0002709212,0.0009553271,0.006373725,0.002070679,0.1838754,0.0004621801,0.0007799427,0.008484028],"study_design_scores_gemma":[0.00004275641,0.00008996059,0.9939951,0.000008078204,0.00004293194,0.00005706585,0.001069666,0.0018035,0.002496865,0.00007614771,0.0003043211,0.00001367672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995467,0.00002817291,0.00002133274,0.00002698043,0.000002404843,0.000002197316,0.0001012659,0.000002504354,0.000268447],"genre_scores_gemma":[0.9996402,0.00001491787,0.00003250272,0.00001151709,0.000002438669,0.000004697587,0.0001134876,0.000002726776,0.0001776092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1654549,"threshold_uncertainty_score":0.3289837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965872847770247,"score_gpt":0.2743454085107258,"score_spread":0.2446866800330233,"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."}}