{"id":"W1983599614","doi":"10.5194/bg-9-1957-2012","title":"Oxygen exchange and ice melt measured at the ice-water interface by eddy correlation","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Environment Research Council; Canada Excellence Research Chairs, Government of Canada; Forsknings- og Innovationsstyrelsen; Sight Research UK; Danish Agency for Science and Higher Education; Deutsches Krebsforschungszentrum; National Science Foundation","keywords":"Ice water; Oxygen; Interface (matter); Melt pond; Environmental science; Geology; Atmospheric sciences; Materials science; Sea ice; Oceanography; Chemistry; Cryosphere; Sea ice thickness; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002291566,0.0001936132,0.0002271009,0.0003790899,0.0002219899,0.0004123185,0.000151249,0.0001558982,0.0002272198],"category_scores_gemma":[0.0003660052,0.000142015,0.0001244453,0.0004560621,0.0001142157,0.0004607967,0.0002311809,0.0001907962,0.00006203511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002861003,"about_ca_system_score_gemma":0.0001826168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005453628,"about_ca_topic_score_gemma":0.00861679,"domain_scores_codex":[0.999925,0.00000984374,0.00000499181,0.00002243958,0.00002471445,0.00001298788],"domain_scores_gemma":[0.9998446,0.00004139276,0.00004874711,0.000006703908,0.00004224098,0.00001639599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006659733,0.0001255509,0.458026,0.00008156723,0.0001118853,0.0001247865,0.0003791057,0.001592404,0.5222091,0.0001769994,0.0001510908,0.01635555],"study_design_scores_gemma":[0.00001540074,0.0001490981,0.9480852,0.000009367746,0.00003907317,0.00005515583,0.0001350042,0.01623133,0.03477614,0.00005069229,0.0004404359,0.00001305321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988157,0.00005658618,0.0007903685,0.00000390155,0.000002055214,0.00000282174,0.00009736302,0.000009760887,0.0002214433],"genre_scores_gemma":[0.9988421,0.00004038508,0.0008047039,0.000005749346,0.000003287173,0.000004701627,0.0001817674,0.000005555584,0.000111733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005453628,"threshold_uncertainty_score":0.01084375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653361060038048,"score_gpt":0.212589827516454,"score_spread":0.1960562169160735,"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."}}